Search

Climate change mitigation and adaptation along with air pollution are key challenges that require a comprehensive planning approach able to promote win-win strategies and avoid transferring environmental pressures from one sector to another. The joint approach is widely advocated at the policy level while the scientific research investigates the role of co-benefits in planning processes. A methodological framework was developed with the twofold aim of (i) assessing the current integration degree between regional Air Quality Plans and Climate Plans and (ii) providing useful hints for pursuing greater air-climate integration. Its application to the Italian case study provides useful policy implications for strengthening the role of co-benefits as drivers of planning processes. Results show that a greater air-climate integration can be achieved by enhancing the role of regional authorities in supporting the implementation of local-scale plans and actions. This is especially important in contexts where an integrated planning framework is lacking and the mainstreaming within sectoral sub-regional plans turns out to be crucial., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

This study introduces a novel integrated quantitative modeling framework to assess the multiple environmental, health, and economic benefits from implementing carbon capture technology in the power sector of Basra province, Iraq. This province is struggling with significant environmental challenges and air pollution caused by extensive oil extraction operations. First, the developed modeling framework quantifies the captured CO 2 emissions and the equivalent avoided PM 2.5 emissions resulting from the use of carbon capture units in existing power plants. This is achieved through a detailed simulation of the monoethanolamine (MEA) capture process using Aspen. Second, the impact of avoided PM 2.5 exposure on public health is evaluated by developing and applying a dynamic dispersion model across the districts where the power plants are located. Third, it quantifies the expected health benefits, using the health impact assessment method. This method is based on a comprehensive meta-analysis of concentration-response functions, and it utilizes a Recurrent Neural Network prediction framework based on the Long-Short Term Memory (LSTM) method to predict the relative risk value of six health outcomes. Finally, the economic value of avoided health burdens is estimated by employing the Value of Statistical Life (VSL) and the Cost of Illness (COI) approaches. According to the findings, implementing new carbon capture units in the selected power plants in the area will lead to a reduction of 7.697 million tons of carbon dioxide per year in the total emission of pollutants from the current power generation units in the region. The integrated assessment results demonstrate a significant reduction in PM 2.5 emissions, amounting to 2299 tons per year, leading to the avoidance of 1328 premature deaths and 217 hospital admissions, resulting in annual savings of $1846 million from the avoided mortalities and morbidities cases and creation of 29,607 green jobs in Basra Province., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

This study addresses the pressing need for cost-effective emission reduction strategies that maximize co-benefits in terms of air pollution and carbon emissions. Our research contributes to the literature by accurately measuring these co-benefits, thereby facilitating their prompt realization in different regions. We employ an input-output framework that integrates carbon emissions and air pollution, allowing us to calculate marginal abatement costs using the shadow price of undesired output. Through this approach, we quantify the co-benefits and analyze the factors influencing them at both spatiotemporal and factor levels using spatial kernel density and geographical detectors. Our findings reveal several key insights: (1) under joint emission reduction efforts, we observe average annual reduction rates of 6.46% for marginal pollution and 6.10% for carbon reduction costs. Importantly, we document an increase in co-benefits from 0.50 to 0.86, characterized by an initial fluctuation followed by a linear increase. (2) the marginal cost difference for carbon emission and pollution reduction in western China was 179.45 and 155.08 respectively, compared to 321.51 and 124.70 in the Northeast, highlighting the crucial role of regional differences in shaping co-benefit outcomes. (3) we identify a negative spatial spillover effect between provinces, which diminishes over time, leading to heterogeneous effects when local provincial co-benefits exceed a threshold of 0.9. (4) during the adjustment period, we find that the industrial structure exerts significant single and interactive effects on co-benefits. Additionally, we highlight the critical role of environmental governance investment and government intervention as drivers of co-benefits in the current era. By offering the quantification of co-benefits under the marginal abatement costs, our study provides valuable scientific insights for planning and implementing effective synergy strategies., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Introduction: Many decarbonization technologies have the added co-benefit of reducing short-lived climate pollutants, such as particulate matter (PM), nitrogen oxides (NO x ), and sulfur dioxide (SO 2 ), creating a unique opportunity for identifying strategies that promote both climate change solutions and opportunities for air quality improvement. However, stakeholders and decision-makers may struggle to quantify how these co-benefits will impact public health for the communities most affected by industrial air pollution., Methods: To address this problem, the LOCal Air Emissions Tracking Atlas ( LOCAETA ) fills a data availability and analysis gap by providing estimated air quality benefits from industrial decarbonization options, such as carbon capture and storage (CCS). These co-benefits are calculated using an algorithm that connects disparate datasets that separately report greenhouse gas emissions and other pollutants at U.S. industrial facilities., Results: Version 1.0 of LOCAETA displays the estimated primary PM 2.5 emission reduction co-benefits from additional pretreatment equipment for CCS on industrial and power facilities across the state of Louisiana, as well as the potential for VOC and NH 3 generation. The emission reductions are presented in the tool alongside facility pollutant emissions information and relevant air quality, environmental, demographic, and public health datasets, such as air toxics cancer risk, satellite and in situ pollutant measurements, and population vulnerability metrics., Discussion: LOCAETA enables regulators, policymakers, environmental justice communities, and industrial and commercial users to compare and contrast quantifiable public health benefits due to air quality impacts from various climate change mitigation strategies using a free and publicly-available tool. Additional pollutant reductions can be calculated using the same methodology and will be available in future versions of the tool., Competing Interests: AJ, DR, JB, KS, CG were employed by Carbon Solutions LLC., (Copyright © 2024 Jordan, Rodriguez, Bennett, Sale and Gilhooley.)

Spatial misallocation of resource elements impedes the coordination in regional co-benefit in carbon emission and pollution reduction. Guided by scope economy principles, this study aims to quantifies co-benefits and explores spatial variation patterns to facilitate mutual synergy. The findings offer valuable insights for identifying optimal focus points and shaping targeted collaborative policies. Based on the multi-source provincial panel data spanning 2000 to 2021, this paper quantitatively assesses the co-benefit through the lens of marginal abatement cost. Then, the Dagum Gini coefficient was employed to investigate the disparities at the spatial level. Additionally, geographical detector is introduced to analyze the source of disparities at the factor level. Results indicate: (1) Under joint reduction, the marginal abatement cost reduces by 57.86% and 79.97% respectively, with an overall 68.77% increase in co-benefit fluctuation. (2) Provinces with low co-benefit significantly decreased after 2007, while provinces with high co-benefit concentrated in the northwest, southwest, and east. (3) Overall disparities decreased, east-central regions hold the lowest spatial disparities in co-benefit and east-west hold the most; intragroup differences and supervariable density primarily contributes to the disparity. (4) FDI significantly influence the co-benefit over the past two decades, with spatial disparities influenced by both endogenous and exogenous factors across development stages., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

In megacities, vehicle emissions face urgent challenges related to air pollution and CO 2 control. To achieve the refinement of vehicle control policies for the co-control of air pollutants and CO 2 , this study established a vehicle emission inventory with high spatial and temporal resolution based on the hourly traffic flow in Shanghai and analyzed the spatial and temporal distribution characteristics of the real-time vehicle emissions. Meanwhile, a policy evaluation framework was constructed by combining pollutant emission predictions with quantitative co-control effect assessments. The results indicated that spatio-temporal variations in different air pollutants and CO 2 could mainly be attributed to primary contributing vehicle types. The pollutants (CO 2 , CO and VOCs) primarily contributed by private cars exhibited a bimodal pattern in 24-h time series and their spatial distribution was concentrated in the urban city center. The spatial distribution of NOx and PM primarily contributed by heavy trucks was still obvious on non-urban center areas. Furthermore, the results of synergistic effect analysis revealed that the alternative energy replacement scenario demonstrated the most significant potential for the co-control. Based on temporal-spatial and co-benefit analysis, the precise control policy of vehicle emissions can be established through time-, region-, and model-control. This study provides references and research methods for the formulation of the vehicle refinement control policies in worldwide megacities., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Based on the panel data of 281 prefecture-level cities in China, from 2007 to 2017, we empirically explore the co-benefits of the carbon emissions trading scheme. We found that the carbon emissions trading scheme effectively achieved the coordinated control of carbon dioxide and air pollutants, by improving the green production level of the pilot areas, reducing the regional industrial output, and promoting the upgrading of the industrial structure. In terms of heterogeneity, the emissions trading scheme shows obvious urban location and level heterogeneity, in terms of coordinated control. The synergistic emission reduction effects of eastern and central cities are significantly better than those of cities in central and western regions and non-central cities. It has also had positive spillover effects on the surrounding cities of the pilot areas, but pollution levels in farther areas may have increased due to possible "pollution shelter problems".

Background: Urban areas are hot spots for human exposure to air pollution, which originates in large part from traffic. As the urban population continues to grow, a greater number of people risk exposure to traffic-related air pollution (TRAP) and its adverse, costly health effects. In many cities, there is a need and scope for air quality improvements through targeted policy interventions, which continue to grow including rapidly changing technologies., Objective: This systematic evidence map (SEM) examines and characterizes peer-reviewed evidence on urban-level policy interventions aimed at reducing traffic emissions and/or TRAP from on-road mobile sources, thus potentially reducing human exposures and adverse health effects and producing various co-benefits., Methods: This SEM follows a previously peer-reviewed and published protocol with minor deviations, explicitly outlined here. Articles indexed in Public Affairs Index, TRID, Medline and Embase were searched, limited to English, published between January 1, 2000, and June 1, 2020. Covidence was used to screen articles based on previously developed eligibility criteria. Data for included articles was extracted and manually documented into an Excel database. Data visualizations were created in Tableau., Results: We identified 7528 unique articles from database searches and included 376 unique articles in the final SEM. There were 58 unique policy interventions, and a total of 1,139 unique policy scenarios, comprising these interventions and different combinations thereof. The policy interventions fell under 6 overarching policy categories: 1) pricing, 2) land use, 3) infrastructure, 4) behavioral, 5) technology, and 6) management, standards, and services, with the latter being the most studied. For geographic location, 463 policy scenarios were studied in Europe, followed by 355 in Asia, 206 in North America, 57 in South America, 10 in Africa, and 7 in Australia. Alternative fuel technology was the most frequently studied intervention (271 times), followed by vehicle emission regulation (134 times). The least frequently studied interventions were vehicle ownership taxes, and studded tire regulations, studied once each. A mere 3 % of studies addressed all elements of the full-chain-traffic emissions, TRAP, exposures, and health. The evidence recorded for each unique policy scenario is hosted in an open-access, query-able Excel database, and a complementary interactive visualization tool. We showcase how users can find more about the effectiveness of the 1,139 included policy scenarios in reducing, increasing, having mixed or no effect on traffic emissions and/or TRAP., Conclusion: This is the first peer-reviewed SEM to compile international evidence on urban-level policy interventions to reduce traffic emissions and/or TRAP in the context of human exposure and health effects. We also documented reported enablers, barriers, and co-benefits. The open-access Excel database and interactive visualization tool can be valuable resources for practitioners, policymakers, and researchers. Future updates to this work are recommended., Protocol Registration: Sanchez, K.A., Foster, M., Nieuwenhuijsen, M.J., May, A.D., Ramani, T., Zietsman, J. and Khreis, H., 2020. Urban policy interventions to reduce traffic emissions and traffic-related air pollution: Protocol for a systematic evidence map. Environment international, 142, p.105826., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Background: Assessments of health and environmental effects of clean air and climate policies have revealed substantial health benefits due to reductions in air pollution, but have included few pediatric outcomes or assessed benefits at the neighborhood level., Objectives: We estimated benefits across a suite of child health outcomes in 42 New York City (NYC) neighborhoods under the proposed regional Transportation and Climate Initiative. We also estimated their distribution across racial/ethnic and socioeconomic groups., Methods: We estimated changes in ambient fine particulate matter (PM 2.5 ) and nitrogen dioxide (NO 2 ) concentrations associated with on-road emissions under nine different predefined cap-and-invest scenarios. Health outcomes, including selected adverse birth, respiratory, and neurodevelopmental outcomes, were estimated using a program similar to the U.S. EPA BenMAP program. We stratified the associated monetized benefits across racial/ethnic and socioeconomic groups., Results: The benefits varied widely over the different cap-and-investment scenarios. For a 25% reduction in carbon emissions from 2022 to 2032 and a strategy prioritizing public transit investments, NYC would have an estimated 48 fewer medical visits for childhood asthma, 13,000 avoided asthma exacerbations not requiring medical visits, 640 fewer respiratory illnesses unrelated to asthma, and 9 avoided adverse birth outcomes (infant mortality, preterm birth, and term low birth weight) annually, starting in 2032. The total estimated annual avoided costs are $22 million. City-wide, Black and Hispanic children would experience 1.7 times the health benefits per capita than White and Non-Hispanic White children, respectively. Under the same scenario, neighborhoods experiencing the highest poverty rates in NYC would experience about 2.5 times the health benefits per capita than the lowest poverty neighborhoods., Conclusion: A cap-and-invest strategy to reduce carbon emissions from the transportation sector could provide substantial health and monetized benefits to children in NYC through reductions in criteria pollutant concentrations, with greater benefits among Black and Hispanic children., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

To assess the green and low-carbon development of the Yellow River Basin (YRB) in China, this study utilizes an evaluation index system based on the framework of driving force, pressure, state, impacts, response, and management, and it measured the comprehensive scores of the co-benefits of carbon reduction and air pollution control in the YRB. The global Moran index was used to analyze the spatial correlation characteristics of co-benefits, and a generalized spatial measurement model was constructed to demonstrate their spatial spillover effects. The results show that the co-benefits steadily increased every year. The co-benefits had a significant positive spatial correlation and showed a development trend of "up-down-up". According to the spillover effect test, the economic development level, education level, and intensity of environmental regulations had significant positive effects, while the level of urbanization and foreign investment had significant negative effects. Considering these results and the aim of promoting green and low-carbon development, clear detection of the spatial spillover characteristics of the co-benefits should be prioritized, followed by an understanding of the spatial transmission mechanism of carbon and air pollutant emission and transfer. Policy recommendations are also proposed including upgrading industrial structure, focusing on the development of modern services and high-tech industry, and strictly implementing the industrial environment access system.

Facing the dual challenges of climate change and air pollution, China has made great efforts to explore the co-control strategies for the both. We assessed the benefits of carbon and pollution control policies on air quality and human health, with an integrated framework combining an energy-economic model, an air quality model and a concentration-response model. With a base year 2015, seven combined scenarios were developed for 2030 based on three energy scenarios and three end-of-pipe control ones. Policy-specific benefits were then evaluated, indicated by the reduced emissions, surface concentrations of major pollutants, and premature deaths between scenarios. Compared to the 2030 baseline scenario, the nationwide PM 2.5 - and O 3 -related mortality was expected to decline 23% or 289 (95% confidence interval: 220-360) thousand in the most stringent scenario, and three quarters of the avoided deaths were attributed to the end-of-pipe control measures. Provinces in heavily polluted and densely populated regions would benefit more from carbon and pollution control strategies. The population fractions with PM 2.5 exposure under the national air quality standard (35 μg/m 3 ) and WHO guideline (10 μg/m 3 ) would be doubled from 2015 to 2030 (the most stringent scenario), while still very few people would live in areas with the WHO guideline achieved for O 3 (100 μg/m 3 ). Increased health impact of O 3 suggested a great significance of joint control of PM 2.5 and O 3 in future policy-making., (Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Cities play a key role in making carbon emission reduction targets achievable and tackling air pollution. Using Guangzhou city as a case, this paper explored the air quality and health co-benefits of peaking carbon dioxide emissions under three scenarios and developed an integrated assessment framework by combining a local air pollutant emission inventory, an atmospheric chemistry transport model, and a health assessment model. The results showed that SO 2 , PM 10 , and PM 2.5 could achieve larger emission reductions than NH 3 , VOCs, and NOx among all the scenarios we examined. Under the enhanced peaking scenario with the most stringent mitigation strategies, Guangzhou could meet the local ambient air quality standard for PM 2.5 (34 μg/m 3 ), with the most reduction observed in the annual average PM 2.5 concentration (28.4%) and related premature deaths (17.08%), compared with the base year 2015. We also identified hotspot grids, which were areas with high concentrations of carbon emissions, high concentrations of air pollution and poor air quality in Guangzhou. Our analysis highlighted the importance of promoting peaking carbon dioxide emission for the improvement of air quality and public health at the city level., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

The power industry of China plays an important role in reducing the carbon dioxide (CO 2 ) and air pollutant emissions. This paper focuses on synergistic CO 2 and air pollution emission reduction by implementing technical and structural measures, and explores the processes aimed at achieving the co-benefits of carbon reduction and air pollution control effectively in the power industry at a local level. The results of the analysis show that the structural measures achieve overall co-benefits, and the technical measures have a good effect in reducing the air pollution, but simultaneously increase CO 2 emissions because of the additional electricity used for running air pollution control devices (APCDs). Based on the analysis of the power generation incremental cost and pollutant emission reduction cost, cost-effective approaches to attain different emission reduction targets are proposed to the power industry in four case regions. These approaches can provide policy makers and stakeholders useful and relevant policy and operation recommendations to reduce CO 2 and air pollution emissions cost-effectively and promote low carbon sustainability in the power industry of China., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

This study assesses the reductions in air pollution emissions and subsequent beneficial health effects from different global mitigation pathways consistent with the 2 °C stabilization objective of the Paris Agreement. We use an integrated modelling framework, demonstrating the need for models with an appropriate level of technology detail for an accurate co-benefit assessment. The framework combines an integrated assessment model (GCAM) with an air quality model (TM5-FASST) to obtain estimates of premature mortality and then assesses their economic cost. The results show that significant co-benefits can be found for a range of technological options, such as introducing a limitation on bioenergy, carbon capture and storage (CCS) or nuclear power. Cumulative premature mortality may be reduced by 17-23% by 2020-2050 compared to the baseline, depending on the scenarios. However, the ratio of health co-benefits to mitigation costs varies substantially, ranging from 1.45 when a bioenergy limitation is set to 2.19 when all technologies are available. As for regional disaggregation, some regions, such as India and China, obtain far greater co-benefits than others., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Published by Elsevier Ltd.)

Exposure to ambient particulate matter is a leading risk factor for environmental public health in India. While Indian authorities implemented several measures to reduce emissions from the power, industry and transportation sectors over the last years, such strategies appear to be insufficient to reduce the ambient fine particulate matter (PM 2.5 ) concentration below the Indian National Ambient Air Quality Standard (NAAQS) of 40 μg/m 3 across the country. This study explores pathways towards achieving the NAAQS in India in the context of the dynamics of social and economic development. In addition, to inform action at the subnational levels in India, we estimate the exposure to ambient air pollution in the current legislations and alternative policy scenarios based on simulations with the GAINS integrated assessment model. The analysis reveals that in many of the Indian States emission sources that are outside of their immediate jurisdictions make the dominating contributions to (population-weighted) ambient pollution levels of PM 2.5 . Consequently, most of the States cannot achieve significant improvements in their air quality and population exposure on their own without emission reductions in the surrounding regions, and any cost-effective strategy requires regionally coordinated approaches. Advanced technical emission control measures could provide NAAQS-compliant air quality for 60% of the Indian population. However, if combined with national sustainable development strategies, an additional 25% population will be provided with clean air, which appears to be a significant co-benefit on air quality (totaling 85%)., (Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.)

This is the first structured review to identify and summarize research on lifestyle choices that improve health and have the greatest potential to mitigate climate change. Two literature searches were conducted on: (1) active transport health co-benefits, and (2) dietary health co-benefits. Articles needed to quantify both greenhouse gas emissions and health or nutrition outcomes resulting from active transport or diet changes. A data extraction tool (PRISMA) was created for article selection and evaluation. A rubric was devised to assess the biases, limitations and uncertainties of included articles. For active transport 790 articles were retrieved, nine meeting the inclusion criteria. For diet 2524 articles were retrieved, 23 meeting the inclusion criteria. A total of 31 articles were reviewed and assessed using the rubric, as one article met the inclusion criteria for both active transport and diet co-benefits. Methods used to estimate the effect of diet or active transport modification vary greatly precluding meta-analysis. The scale of impact on health and greenhouse gas emissions (GHGE) outcomes depends predominately on the aggressiveness of the diet or active transport scenario modelled, versus the modelling technique. Effective mitigation policies, infrastructure that supports active transport and low GHGE food delivery, plus community engagement are integral in achieving optimal health and GHGE outcomes. Variation in culture, nutritional and health status, plus geographic density will determine which mitigation scenario(s) best suit individual communities.

With rapid urbanization and development of transport infrastructure, air pollution caused by multiple-pollutant emissions and vehicle exhaust has been aggravated year by year in China. In order to improve air quality, the Chinese authorities have taken a series of actions to control air pollution emission load within a permissible range. However, although China has made positive progress on tackling air pollution, these actions have not kept up with its economy growth and fossil-fuel use. The traditional single-pollutant approach is far from enough in China now, and in the near future, air pollution control strategies should move in the direction of the multiple-pollutant approach. In addition, undesirable air quality is usually linked with the combination of high emissions and adverse weather conditions. However, few studies have been done on the influence of climate change on atmospheric chemistry in the global perspective. Available evidence suggested that climate change is likely to exacerbate certain kinds of air pollutants including ozone and smoke from wildfires. This has become a major public health problem because the interactions of global climate change, urban heat islands, and air pollution have adverse effects on human health. In this chapter, we first review the past and current circumstances of China's responses to air pollution. Then we discuss the control challenges and future options for a better air quality in China. Finally, we begin to unravel links between air pollution and climate change, providing new opportunities for integrated research and actions in China.

We quantify the potential impacts of carbon capture, utilization, and storage (CCUS) on local air pollution in the US Gulf region. We characterize pre-CCUS local air pollution emissions from fossil-fuel electricity generation and large industrial carbon emitters and compare these with projected post-CCUS local air pollution emissions, leveraging carbon capture quotient estimates from the engineering literature. We then analyze net emissions impacts on secondary particulate matter formation and damages via the AP3 integrated air pollution assessment model. An important aspect of the environmental impact of CCUS is increased ammonia emissions from CCUS technology, which we show can lead to net air pollution damages from CCUS deployment at natural gas power plants and most industrial facilities. Taken as a whole, our work suggests that CCUS may pose significant trade-offs between global climate benefits and costs to local communities. [ABSTRACT FROM AUTHOR]

We investigated the association of urban landscape profiles with health and environmental outcomes, and whether those profiles are linked to environmental and health co-benefits. In this ecological study, we used data from 208 cities in 8 Latin American countries of the SALud URBana en América Latina (SALURBAL) project. Four urban landscape profiles were defined with metrics for the fragmentation, isolation, and shape of patches (contiguous area of urban development). Four environmental measures (lack of greenness, PM2.5, NO2, and carbon footprint), two cause-specific mortality rates (non-communicable diseases and unintentional injury mortality), and prevalence of three risk factors (hypertension, diabetes, and obesity) for adults were used as the main outcomes. We used linear regression models to evaluate the association of urban landscape profiles with environmental and health outcomes. In addition, we used finite mixture modeling to create co-benefit classes. Cities with the scattered pixels profile (low fragmentation, high isolation, and compact shaped patches) were most likely to have positive co-benefits. Profiles described as proximate stones (moderate fragmentation, moderate isolation, and irregular shape) and proximate inkblots (moderate-high fragmentation, moderate isolation, and complex shape) were most likely to have negative co-benefits. The contiguous large inkblots profile (low fragmentation, low isolation, and complex shape) was most likely to have mixed benefits.

Achieving synergies in reducing carbon emissions and air pollution is the key to promoting green development in China's economy and society. However, the effectiveness and synergy of carbon reduction policies, such as the carbon trading policy in each sector, have not been assessed. This study uses the time-varying difference-in-difference model (DID) to assess the co-benefits and mechanisms of carbon trading pilot policy on the emissions of carbon and air pollutants across the country and in the power, industry, transport, and resident sectors. The results show that the policy is useful in controlling air pollution in pilot areas, and the effect is better than that of reducing carbon emissions. The carbon trading policy can also help various sectors achieve the co-benefits of reducing carbon emissions and controlling air pollution. Furthermore, the mediating role of industrial structure, technological progress, and foreign direct investment in the implementation of carbon trading policy varies across sectors. The results can provide guidance for each sector to achieve collaborative governance in reducing carbon emissions and air pollution. [ABSTRACT FROM AUTHOR]

China has long sought to address climate change in line with other development goals. However, research supporting this alignment often employs data-driven models that downplay the policies and institutions needed to achieve the multiple benefits that studies feature in their analyses. This oversight is troubling because it neglects gaps between goals and the actual integration of climate and development or co-control of air pollution and greenhouse gases (GHGs). Additionally, this oversight may overlook growing implementation challenges as China pursues synergies between net-zero emissions, biodiversity, and circularity. This article illustrates these challenges by tracing the goals and policies/institutions in China over three phases: (1) integration (1979–2010), (2) co-control (2011–2019), and (3) synergies (2020–present). This article argues that China needs to strengthen the science–policy interface and ensure that new market-based policy instruments (such as emissions trading programs) as well as the leadership responsibility system incentivize reductions in overall GHG emissions while shrinking ecological footprints in the shifts to synergies. [ABSTRACT FROM AUTHOR]

The population of Santiago, Chile, experiences air pollution above global health guidelines that is attributable in part to large anthropogenic emissions. This is compounded by geographic features and meteorological conditions that are prone to pollution accumulation as well as secondary pollution production. In recent years, there have been improvements in air quality; however, the future of air pollution in Santiago remains unclear due to its growing population and increased vehicle use. Mitigation efforts can be supported by characterizing sources of air pollution and estimating how changes in emissions could affect air quality in future years. In this study, we conduct simulations using a chemical transport model (GEOS‐Chem) and perform adjoint calculations to characterize the relationship between health impacts associated with exposure to PM2.5, O3, and NO2 and anthropogenic emissions. We incorporate model updates in a new nested domain simulation over Central South America including local and regional anthropogenic emissions inventories for Chile. We estimate that 2,490 (1,360, 4,060) PM2.5‐ and O3‐related premature deaths and 5,350 (1,320, 11,330) NO2‐related new pediatric asthma cases were associated with pollution exposure in Santiago in 2015 and that a majority of these health impacts were attributable to anthropogenic emissions. We identify emissions from transportation, energy generation, and residential combustion as the leading contributors to these health impacts. Additionally, we estimate that Chile's commitment to attain carbon neutrality by 2050 could result in benefits in Santiago of 3,230 (1,240, 7,160) avoided deaths and 2,590 (640, 5,500) avoided pediatric asthma cases in 2050 compared to business‐as‐usual emissions. Plain Language Summary: The population of Santiago, Chile is exposed to unhealthy levels of air pollution that are above global health guidelines. Emissions originating from human activities contribute to this poor air quality. In recent years, air quality has improved; however, the future of air pollution in Santiago remains unclear due to a growing population and increased vehicle use. In this study we use a chemical transport model framework to identify how emissions affect air pollution in Santiago. We estimate that 2,490 premature deaths and 5,350 new asthma cases were associated with pollution in Santiago in 2015 and found that much of these health impacts were associated with emissions from transportation, power‐plants, and residential combustion. Additionally, we estimate that Chile's commitment to the Paris Climate Agreement by 2050 could avoid 3,230 deaths and 2,590 new asthma cases in 2050. Key Points: We estimate that Chile's commitment to attain carbon neutrality could avoid 3,230 premature deaths and 2,590 pediatric asthma cases in 2050We identify transportation, energy and residential emissions as the leading contributors to Santiago's air pollution related health impactsWe incorporate model updates in a new nested domain over South America for GEOS‐Chem and find comparable performance to other simulations [ABSTRACT FROM AUTHOR]

• The linkage between climate mitigation and air quality is examined for 362 cities. • Sectoral contributions to PM2.5 levels and GHG emissions are strongly aligned. • Cities value air quality as a co-benefit of climate action and can act on it. • Two approaches are identified in ambient air quality action: proactive vs reactive. • Disciplinary and departmental silos need to be overcome. This study investigates the alignment of climate change mitigation with air quality initiatives in 362 (mostly European) cities eligible under the Climate-Neutral and Smart Cities Mission, hence targeting net-zero greenhouse gas (GHG) emissions by 2030. It examines ambient air quality, particularly PM 2.5 concentration levels, and GHG emissions, considering physical attributes, policy frameworks, and local authority actions. The research finds a north-to-south gradient in air quality, with northern cities exhibiting better air conditions, and a strong correlation between sectors contributing to GHG emissions and air pollution. Cities' strategies are dominated by cross-sectoral plans and assessing air quality as a co-benefit of climate mitigation is common practice, suggesting potential for synergistic approaches to climate and air quality goals, supported by the political authority that cities typically exert over relevant policy areas. Machine learning analysis (XGBoost) highlights national context, population density, and climate class as significant predictors of PM 2.5 levels, with policy variables indicating that proactive health and justice measures in city governance may correlate with improved air quality. The study advocates for a co-benefits approach in urban policy-making to effectively address climate change and air quality challenges, and it emphasises the need for transdisciplinary research and governance to optimise outcomes and reduce trade-offs. [ABSTRACT FROM AUTHOR]

Health impact assessments have estimated substantial health co-benefits of climate change mitigation strategies due to reductions in air pollution in the US; however, few studies have considered children’s health impacts and related equity implications. We estimated the potential health co-benefits to children related to improved air quality associated with various emissions cap and investment scenarios for the transportation sector in the Northeastern and Mid-Atlantic US proposed under the Transportation and Climate Initiative (TCI). We modeled changes in ambient fine particulate matter and nitrogen dioxide between 2022 and 2032 associated with on-road transportation sector emissions under nine hypothetical carbon dioxide (CO _2 ) emissions cap and investment scenarios proposed under TCI using the Community Multiscale Air Quality (CMAQ) model version 5.2. We estimated potential health co-benefits for adverse birth and pediatric respiratory and neurodevelopmental outcomes using an expanded version of the Environmental Benefits Mapping and Analysis Program, known as BenMAPR. We also examined impacts on pediatric asthma exacerbations across racial/ethnic groups. We found that health benefits to children increased as the CO _2 emission caps became more ambitious. The combination of the highest emissions cap (25%) and the investment scenario which prioritized public transit improvement (Diversified strategy) conferred the greatest children’s health benefits for the majority of health outcomes considered, resulting in approximately $82 million per year in economic savings. Assessment of the distribution of avoided pediatric asthma exacerbations showed benefits across all racial and ethnic groups, with a slightly greater reduction in cases for non-White populations. Decarbonization policies in the transportation sector in the Eastern US have the potential to provide important air quality and pediatric health co-benefits.

Pakistan's urban air pollution is among the world's worst, wreaking havoc on public health and the economy. Although the country's environmental protection act and the climate change act recognize the dual challenges of air pollution and climate change, it lacks an integrated national strategy to manage both simultaneously. Based on simulations with the GAINS model (an integrated assessment model) through soft coupling with the EnerNEO Pakistan model (an energy-economic model), we assess the benefits of climate policies and air pollution control measures on air quality and public health for Pakistan under the baseline and alternative scenarios. Our results reveal that Pakistan's current air pollution control measures are insufficient to meet the country's air quality standards under the baseline scenario. Implementing sustainable development strategies will reduce nationwide PM 2.5 -related mortalities by 24% in 2050 compared to the baseline. While advanced control measures have the potential to improve air quality and human health in Pakistan, when combined with national sustainable development strategies, they have the potential to halve greenhouse gas emissions (implementing SDG 13 indicator on climate action) and save on emission control costs approximately by a quarter (0.32% of GDP) by 2050. This appears to be a significant co-benefit in terms of air quality (environmental), health (social), and cost (economic), implying that Pakistan's future policymaking should prioritize cost-effective co-control of air pollution and greenhouse gases. [Display omitted] • We studied air quality and health co-benefits under alternative policy scenarios. • Current legislations would result in a 1.5-fold rise in PM 2.5 levels by 2050. • Stringent air pollution control measures would cut PM 2.5 levels in half by 2050. • PM 2.5 mortalities would be decreased by 24% in a sustainable development scenario. • Sustainable development policies would further reduce GHG emissions by 53%. [ABSTRACT FROM AUTHOR]

While ex-ante evaluations of climate mitigation policies predict that co-benefits of improved air quality will enable the aggregate benefits of climate mitigation policies to outweigh their costs, there is little empirical evidence to support this assertion. In this study, we use data on weekly smokestack emissions of sulfur dioxide (SO2) from firms participating in Shanghai's carbon dioxide (CO2) emissions trading scheme (ETS) to deliver one of the first ex-post evaluations on the co-benefits of China's ETS. Using a panel-regression model in which all firms' characteristics and seasonal effects are controlled, we find a significant negative association between CO2 emissions prices and industrial SO2 emissions (elasticity of −0.13). A closer examination reveals that most of these effects were driven by specific sectors (iron and steel) and during months in which firms were required to balance their annual CO2 emissions. To ensure our results are not driven by confounding factors and our model's assumptions, we conducted several falsification checks using SO2 emissions from non-ETS firms and firms from a nearby city, using various model specifications. Our findings suggest that co-benefits from climate mitigation policies should not be taken for granted, and that policy designs and types of sector sources of emissions are important determinants of co-benefits. Key policy insights The study provides empirical evidence for air pollution co-benefits of a CO2 ETS using weekly smokestack-level data from Shanghai, China Evidence from the Shanghai ETS shows that a 1% increase in CO2 prices in Shanghai is associated with a 0.13% decrease in SO2 emissions These co-benefits, however, are limited to specific sectors (e.g. ferrous metals), and are not found in other major CO2 emitting sources or sectors (e.g. power utilities) The relationship between CO2 prices and co-benefits is also stronger during months in which firms are required to balance their annual CO2 emissions using permits [ABSTRACT FROM AUTHOR]

The current nationally determined contributions, pledged by the countries under the Paris Agreement, are far from limiting climate change to below 2 ∘C temperature increase by the end of the century. The necessary ratcheting up of climate policy is projected to come with a wide array of additional benefits, in particular a reduction of today's 4.5 million annual premature deaths due to poor air quality. This paper therefore addresses the question how climate policy and air pollution–related health impacts interplay until 2050 by developing a comprehensive global modeling framework along the cause and effect chain of air pollution–induced social costs. We find that ratcheting up climate policy to a 2 ∘ compliant pathway results in welfare benefits through reduced air pollution that are larger than mitigation costs, even with avoided climate change damages neglected. The regional analysis demonstrates that the 2 ∘C pathway is therefore, from a social cost perspective, a "no-regret option" in the global aggregate, but in particular for China and India due to high air quality benefits, and also for developed regions due to net negative mitigation costs. Energy and resource exporting regions, on the other hand, face higher mitigation cost than benefits. Our analysis further shows that the result of higher health benefits than mitigation costs is robust across various air pollution control scenarios. However, although climate mitigation results in substantial air pollution emission reductions overall, we find significant remaining emissions in the transport and industry sectors even in a 2 ∘C world. We therefore call for further research in how to optimally exploit climate policy and air pollution control, deriving climate change mitigation pathways that maximize co-benefits. [ABSTRACT FROM AUTHOR]

The overlap in sources of greenhouse gas and local air pollutant emissions creates scope for policy measures to limit global warming and improve air quality simultaneously. In a first step, we derive estimates for the air pollution mortality-related component of the social cost of atmospheric release for 6 pollutants and 56 regions in the world. Combining these estimates with emission inventory data highlights that sector contributions to greenhouse gas emissions and air pollution health impacts differ widely across regions. Next, simulations of future emission pathways consistent with the 2 °C and 1.5 °C targets illustrate that strengthening climate policy ambition raises the total value of air quality co-benefits despite lower marginal co-benefits per tonne of greenhouse gas emissions abated. Finally, we use results from a multi-model ensemble to quantify and compare the value of health-related ambient air quality co-benefits of climate policy across sectors and regions. On the global level, overall air quality co-benefits range from $8 to $40 per tonne of greenhouse gases abated in 2030, with median across models and scenarios of $18/tCO2e. These results mask strong differentiation across regions and sectors, with median co-benefits from mitigation in the residential and service sectors in India exceeding $500/tCO2e. By taking a sector- and region-specific perspective, the results presented here reveal promising channels to improve human health outcomes and to ratchet up greenhouse gas reduction efforts to bridge the gap between countries' pledges and the global targets of the Paris Agreement. [ABSTRACT FROM AUTHOR]

Physical distancing measures are important tools to control disease spread, especially in the absence of treatments and vaccines. While distancing measures can safeguard public health, they also can profoundly impact the economy and may have important indirect effects on the environment. The extent to which physical distancing measures should be applied therefore depends on the trade-offs between their health benefits and their economic costs. We develop an epidemiological-economic model to examine the optimal duration and intensity of physical distancing measures aimed to control the spread of COVID-19. In an application to the United States, our model considers the trade-off between the lives saved by physical distancing—both directly from stemming the spread of the virus and indirectly from reductions in air pollution during the period of physical distancing—and the short- and long-run economic costs that ensue from such measures. We examine the effect of air pollution co-benefits on the optimal physical distancing policy and conduct sensitivity analyses to gauge the influence of several key parameters and uncertain model assumptions. Using recent estimates of the association between airborne particulate matter and the virulence of COVID-19, we find that accounting for air pollution co-benefits can significantly increase the intensity and duration of the optimal physical distancing policy. To conclude, we broaden our discussion to consider the possibility of durable changes in peoples' behavior that could alter local markets, the global economy, and our relationship to nature for years to come. [ABSTRACT FROM AUTHOR]

With the growing number of vehicles on the road, the transport sector has become the second largest consumer of energy, after the industrial sector, and has become the main source of air pollutants and greenhouse gas emissions. To support low-carbon development, since 2009, electric vehicles have been used to replace traditional fuel vehicles in China. In 2016, electric vehicles, including buses, taxis and private vehicles, accounted for 26.41% of the total number of new-energy vehicles in Shanghai. In this study, the synergy and co-benefits of reducing CO 2 and air pollutant emissions by using electric private cars, taxis, and buses in Shanghai are analyzed. The co-control coordinate system and pollutant reduction cross-elasticity (Elsa/b) are used to identify and evaluate the generated co-benefits. Based on the total driving life cost, the unit air pollutant equivalent (Ap eq) abatement costs of achieving synergy in three types of vehicles are assessed. The co-benefits generated by using the three types of electric vehicles are discussed by combining environmental benefit and cost-effectiveness analyses. The results show that electric buses provide the highest co-benefits. Thus, replacing traditional fuel vehicles with electric buses can simultaneously reduce air pollution and CO 2 emissions. If we consider subsidies to electric vehicles provided by the government, there are great environmental and economic benefits of implementing electric buses in Shanghai. In addition, private electric cars and taxis also provide the co-benefits of reducing CO, NO x , NMHC, and PM 10 emissions. The economic benefits of using electric taxis in Shanghai are more notable, even without considering subsidies. • The transport sector has become the main source of air pollutants and greenhouse gas emissions in China. • Synergistic emission reduction effects and emission reduction costs are analyzed on electric vehicles in Shanghai. • Electric buses, taxis and private cars achieve the co-benefits of reducing CO, NO x , NMHC, PM 10 and CO 2 emissions. • There are great environmental and economic benefits of implementing electric buses in Shanghai. [ABSTRACT FROM AUTHOR]

Protecting human health is one of the fundamental goals of continuous air quality improvement. Considering the same sources of CO 2 and air pollutants emissions, their emission control measures often have a certain degree of synergistic emission reduction effects To balance the costs and policy efficiency, policy makers should assess the synergistic benefits of CO 2 emission reduction when formulating air quality improvement strategies. Aimed at the air quality improvement strategy targeting WHO-III level (i.e. 15 μg/m3) for PM2.5 in the Pearl River Delta (PRD) region, this study evaluates the synergistic CO2 reduction effects and the associated health benefits from this strategy which includes a range of air pollution prevention and control measures. The results of the study show that promoting the attainment of WHO-III for PM2.5 in the PRD region can bring about 74 Mt of synergistic CO2 emission reduction, resulting in an 18% reduction of CO2 emissions in the PRD compared to 2017. Among various measures considered, industrial restructuring, power supply transition and industrial energy consumption transformation exhibit the most pronounced synergistic effects. Therefore, these measures are recommended to be prioritized and promoted in the next stage of air pollution prevention and CO2 emission reduction. Furthermore, when the PM 2.5 concentration in the PRD region reaches the WHO-III level, the number of PM 2.5 -related deaths will be estimated to reduce approximately 5.5 thousand compared to that in the current policy scenario. Through continuous structural transformation and emission reduction efforts, it not only facilitates the decline in regional PM 2.5 concentration but also helps more regional residents to live in an environment with a relatively low PM 2.5 concentration. In addition, in order to reduce the health impacts of PM 2.5 , it is recommended that the government should guide people to change their production and living styles in order to reduce pollutant emissions from anthropogenic activities. • Measures promoting PRD's PM 2.5 to WHO-III level reduces 74 Mt CO 2 , resulting in an 18% reduction compared to 2017 • Structural adjustment measures have the most synergistic effect. • The PM 2.5 -related deaths decrease by 5.5 thousand compared to BAU scenario. • Consider air pollution and population structure for PM 2.5 -related deaths reduction. [ABSTRACT FROM AUTHOR]

Many children in India face the double burden of high exposure to ambient (AAP) and household air pollution, both of which can affect their linear growth. Although climate change mitigation is expected to decrease AAP, climate policies could increase the cost of clean cooking fuels. Here, we develop a static microsimulation model to project the air pollution-related burden of child stunting in India up to 2050 under four scenarios combining climate change mitigation (2 °C target) with national policies for AAP control and subsidised access to clean cooking. We link data from a nationally representative household survey, satellite-based estimates of fine particulate matter (PM _2.5 ), a multi-dimensional demographic projection and PM _2.5 and clean cooking access projections from an integrated assessment model. We find that the positive effects on child linear growth from reductions in AAP under the 2 °C Paris Agreement target could be fully offset by the negative effects of climate change mitigation through reduced clean cooking access. Targeted AAP control or subsidised access to clean cooking could shift this trade-off to result in net benefits of 2.8 (95% uncertainty interval [UI]: 1.4, 4.2) or 6.5 (UI: 6.3, 6.9) million cumulative prevented cases of child stunting between 2020–50 compared to business-as-usual. Implementation of integrated climate, air quality, and energy access interventions has a synergistic impact, reducing cumulative number of stunted children by 12.1 (UI: 10.7, 13.7) million compared to business-as-usual, with the largest health benefits experienced by the most disadvantaged children and geographic regions. Findings underscore the importance of complementing climate change mitigation efforts with targeted air quality and energy access policies to concurrently deliver on carbon mitigation, health and air pollution and energy poverty reduction goals in India.

China's iron and steel industry is one of the largest energy resource consumption and air pollutant emissions industries. In this study, a comprehensive assessment approach is established to evaluate the co-benefits of energy efficiency improvement, resource saving and air pollution abatement between 2015–2050. Five scenarios including the reference scenario, the structure adjustment scenario, the technologies improvement without end-of-pipe measures scenario, the technologies improvement with EOP measures scenario and integrated scenario are developed for analysis. The modeling results demonstrate that scrap resource is enough to support production switching in all five scenarios. Energy resource consumption and air pollution emissions will decline step by step under the synergy effect of technology improvement and structure adjustment. The cumulative emission reductions of selected 35 energy efficiency technologies are 0.731 kg SO 2 /t, 0.535 kg NO x /t, 0.259 kg PM 10 /t and 0.579 kg AP eq /t at the discount rate of 15%. Sensitivity analysis shows that implementation rates and discount rates are the most critical factors. [ABSTRACT FROM AUTHOR]

Reaching climate neutrality by 2050 is one of the main long-term objectives of the European Union climate and energy policy, and renewable energy sources (RES) are integral parts of this transition. RES development results in many effects, direct and indirect, linked to each other, societal, local and individual, i.e., “multiple impacts of RES” (MI RES). These effects need to be carefully assessed and evaluated to obtain the full picture of energy field transformation and its context, and enable further development of RES. Nevertheless, the MI RES concept is often presented misleadingly and its scope varies throughout the literature. This paper provides a literature overview of the methodologies of this concept and presents a new concept of MI RES, respecting the difference between effects resulting from the implementation of RES and ultimate multiple impacts. We have summarized the effects into four groups: economic, social, environmental, and technical, which all lead to group of ultimate multiple impacts. Finally, we provide the complex overview of all MI RES and present the framework, which is used to analyze the multiple impacts and effects of RES and to show how the RES development leads and contributes to these impacts and effects. The concept is recommended to be considered in designing a robust energy policy by decision-makers.

Low-carbon pathways consistent with the 2 °C and 1.5 °C long-term climate goals defined in the Paris Agreement are likely to induce substantial co-benefits for air pollution and associated health impacts. In this analysis, using five global integrated assessment models, we quantify the emission reductions in key air pollutants resulting from the decarbonization of energy systems and the resulting changes in premature mortality attributed to the exposure to ambient concentrations of fine particulate matter. The emission reductions differ by sectors. Sulfur emissions are mainly reduced from power plants and industry, cuts in nitrogen oxides are dominated by the transport sector, and the largest abatement of primary fine particles is achieved in the residential sector. The analysis also shows that health benefits are the largest when policies addressing climate change mitigation and stringent air pollution controls are coordinated. We decompose the key factors that determine the extent of health co-benefits, focusing on Asia: changes in emissions, urbanization rates, population growth and ageing. Demographic processes, particularly due to ageing population, counteract in many regions the mortality reductions realized through lower emissions.

Air pollution is a major environmental risk factor and contributor to chronic, noncommunicable diseases (NCDs). However, most public health approaches to NCD prevention focus on behavioural and biomedical risk factors, rather than environmental risk factors such as air pollution. This article discusses the implications of such a focus. It then outlines the opportunities for those in public health and environmental science to work together across three key areas to address air pollution, NCDs and climate change: (a) acknowledging the shared drivers, including corporate determinants; (b) taking a ‘co-benefits’ approach to NCD prevention; and (c) expanding prevention research and evaluation methods through investing in systems thinking and intersectoral, cross-disciplinary collaborations.

Despite low per capita emissions, with over a billion population, India is pivotal for climate change mitigation globally, ranking as the third largest emitter of greenhouse gases. We linked a previously published multidimensional population projection with emission projections from an integrated assessment model to quantify the localised (i.e. state-level) health benefits from reduced ambient fine particulate matter in India under global climate change mitigation scenarios in line with the Paris Agreement targets and national scenarios for maximum feasible air quality control. We incorporated assumptions about future demographic, urbanisation and epidemiological trends and accounted for model feedbacks. Our results indicate that compared to a business-as-usual scenario, pursuit of aspirational climate change mitigation targets can avert up to 8.0 million premature deaths and add up to 0.7 years to life expectancy (LE) at birth due to cleaner air by 2050. Combining aggressive climate change mitigation efforts with maximum feasible air quality control can add 1.6 years to LE. Holding demographic change constant, we find that climate change mitigation and air quality control will contribute slightly more to increases in LE in urban areas than in rural areas and in states with lower socio-economic development.

Urbanization, population and economic growth in Indian megacities like Delhi have resulted in an increase in energy and transportation demand leading to severe air pollution and related health impacts, as well as to the rapid growth in the greenhouse gas emissions. In this study, an integrated assessment of air quality and climate policies for Indian cities – with a particular focus on National Capital Territory of Delhi, has been carried out. We have developed emission inventory of air pollutants and greenhouse gases for the base year (2010) and evaluated the impact of current policies on emission projections by 2030 in the business-as-usual scenario. Emissions of coarse and fine particulate matter are projected to be 51% and 15% higher in 2030 as compared to present. As the current legislations do not indicate progress towards the achievement of the Indian National Ambient Air Quality Standards in Delhi, we explored the effectiveness of additional emission control strategies with either advanced end-of-pipe emission controls or low carbon policies. Relative to the baseline scenario, the set of alternative policy strategies would reduce emissions rapidly in 2030. The results revealed that air quality policies under various scenarios could also have co-benefits of reducing carbon emissions. At the same time, the results suggest that low carbon policies would be more efficient to cut emissions as compared to advanced end-of-pipe emission control policies. However, their implementation could be limited by the availability of clean fuels. In the climate policy scenario, carbon emission in 2030 is estimated to decrease by 19% relative to baseline. Additional controls combined with low carbon policies like controlling non-industrial emissions create an opportunity to further enhance the scope for co-benefits and to attain the air quality standards in Delhi. [ABSTRACT FROM AUTHOR]

China is the world's largest cement producer, contributing to 60% of the global total. Jiangsu province takes the lead of cement production among China's provinces, contributing to 8.4% of the national total cement output. In this study, a geo-graphical information system-based energy model is developed to assess the potential of energy savings and associated mitigation of CO 2 and air pollutant emissions in Jiangsu's cement industry during 2015–2030. Results show that 1) compared to 2015, energy consumption in the baseline scenario will decrease by 54% at the provincial level. Economical energy saving potential for 2030 is around 50 PJ, which equals to 35% of energy use in the baseline in 2030. 2) At the city level, Changzhou, Wuxi, and Xuzhou are top three cities in terms of energy saving potential. 3) The economical CO 2 emission reductions will decrease by 4.4 Mt in 2030, while the emissions of PM and NOx would decline by 30% and 56%, respectively. This study will help policy makers develop integrated policies to support the coordinated development of Jiangsu and can also enhance the effectiveness of the implementation of joint prevention and control of atmospheric pollution to improve regional air quality. [ABSTRACT FROM AUTHOR]

Electrification with decarbonized electricity is a central strategy for carbon mitigation. End-use electrification can also reduce air pollutant emissions from the demand sectors, which brings public health co-benefits. Here we focus on electrification strategies for China, a country committed to both reducing air pollution and peaking carbon emissions before 2030. Considering both coal-intensive and decarbonized power system scenarios for 2030, we assess the air quality, health and climate co-benefits of various end-use electrification scenarios for the vehicle and residential sectors relative to a non-electrified coal-intensive business-as-usual scenario (BAU). Based on an integrated assessment using the regional air pollution model WRF-Chem and epidemiological concentration–response relationships, we find that coal-intensive electrification (75% coal) does not reduce carbon emissions, but can bring significant air quality and health benefits (41,000–57,000 avoided deaths in China annually). In comparison, switching to a half decarbonized power supply (∼50% coal) for electrification of the transport and/or residential sectors leads to a 14–16% reduction in carbon emissions compared to BAU, as well as greater air quality and health co-benefits (55,000–69,000 avoided deaths in China annually) than coal intensive electrification. Furthermore, depending on which end-use sector is electrified, we find different regional distributions of air quality and health benefits. While electrifying the transport sector improves air quality throughout eastern China, electrifying the residential sector brings most benefits to the North China Plain region in winter where coal-based heating contributes substantially to air pollution. [ABSTRACT FROM AUTHOR]

China is the world's top carbon emitter and suffers from severe air pollution. We examine near-term air quality and CO 2 co-benefits of various current sector-based policies in China. Using a 2015 base case, we evaluate the potential benefits of four sectoral mitigation strategies. All scenarios include a 20% increase in conventional air pollution controls as well as the following sector-specific fuel switching or technology upgrade strategies. Power sector (POW): 80% replacement of small coal power plants with larger more efficient ones; Industry sector (IND): 10% improvement in energy efficiency; Transport sector (TRA): replacement of high emitters with average vehicle fleet emissions; and Residential sector (RES): replacement of 20% of coal-based stoves with stoves using liquefied petroleum gas (LPG). Conducting an integrated assessment using the regional air pollution model WRF-Chem, we find that the IND scenario reduces national air-pollution-related deaths the most of the four scenarios examined (27,000, 24,000, 13,000 and 23,000 deaths reduced annually in IND, POW, TRA and RES, respectively). In addition, the IND scenario reduces CO 2 emissions more than 8 times as much as any other scenario (440, 53, 0 and 52 Mt CO 2 reduced in IND, POW, TRA and RES, respectively). We also examine the benefits of an industrial efficiency improvement of just 5%. We find the resulting air quality and health benefits are still among the largest of the sectoral scenarios, while the carbon mitigation benefits remain more than 3 times larger than any other scenario. Our analysis hence highlights the importance of even modest industrial energy efficiency improvements and air pollution control technology upgrades for air quality, health and climate benefits in China. [ABSTRACT FROM AUTHOR]

Megacities in Asia rank high in air pollution at the global scale. In many cities, ambient concentrations of fine particulate matter (PM 2.5 ) have been exceeding both the WHO interim targets as well as respective national air quality standards. This paper presents a systems analytical perspective on management options that could efficiently improve air quality at the urban scale, having Delhi as a case study. We employ the newly developed GAINS-City policy analysis framework, consisting of a bottom up emission calculation combined with atmospheric chemistry-transport calculation, to derive innovative insights into the current sources of pollution and their impacts on ambient PM 2.5 , both from emissions of primary PM as well as precursors of secondary inorganic and organic aerosols. We outline the likely future development of these sources, quantify the related ambient PM 2.5 concentrations and health impacts, and explore potential policy interventions that could effectively reduce environmental pollution and resulting health impacts in the coming years. The analysis demonstrates that effective improvement of Delhi's air quality requires collaboration with neighboring States and must involve sources that are less relevant in industrialized countries. At the same time, many of the policy interventions will have multiple co-benefits on development targets in Delhi and its neighboring States. Outcomes of this study, as well as the modelling tools used herein, are applicable to other urban areas and fast growing metropolitan zones in the emerging Asian regions. [ABSTRACT FROM AUTHOR]