10 results on '"Elia I"'
Search Results
2. From single to multivariable exposure models to translate climatic and air pollution effects into mortality risk. A customized application to the city of Rome, Italy
- Author
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Michetti, M, Adani, M, Anav, A, Benassi, B, Dalmastri, C, D'Elia, I, Gualtieri, M, Piersanti, A, Sannino, G, Uccelli, R, Zanini, G, Michetti M., Adani M., Anav A., Benassi B., Dalmastri C., D'Elia I., Gualtieri M., Piersanti A., Sannino G., Uccelli R., Zanini G., Michetti, M, Adani, M, Anav, A, Benassi, B, Dalmastri, C, D'Elia, I, Gualtieri, M, Piersanti, A, Sannino, G, Uccelli, R, Zanini, G, Michetti M., Adani M., Anav A., Benassi B., Dalmastri C., D'Elia I., Gualtieri M., Piersanti A., Sannino G., Uccelli R., and Zanini G.
- Abstract
This study presents an approach developed to derive a Delayed-Multivariate Exposure-Response Model (D-MERF) useful to assess the short-term influence of temperature on mortality, accounting also for the effect of air pollution (O3 and PM10). By using Distributed, lag non-linear models (DLNM) we explain how city-specific exposure-response functions are derived for the municipality of Rome, which is taken as an example. The steps illustrated can be replicated to other cities while the statistical model presented here can be further extended to other exposure variables. We derive the mortality relative-risk (RR) curve averaged over the period 2004–2015, which accounts for city-specific climate and pollution conditions. Key aspects of customization are as follows: This study reports the steps followed to derive a combined, multivariate exposure-response model aimed at translating climatic and air pollution effects into mortality risk. Integration of climate and air pollution parameters to derive RR values. A specific interest is devoted to the investigation of delayed effects on mortality in the presence of different exposure factors.
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- 2022
3. Climate change and air pollution: Translating their interplay into present and future mortality risk for Rome and Milan municipalities
- Author
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Michetti, M, Gualtieri, M, Anav, A, Adani, M, Benassi, B, Dalmastri, C, D'Elia, I, Piersanti, A, Sannino, G, Zanini, G, Uccelli, R, Michetti M., Gualtieri M., Anav A., Adani M., Benassi B., Dalmastri C., D'Elia I., Piersanti A., Sannino G., Zanini G., Uccelli R., Michetti, M, Gualtieri, M, Anav, A, Adani, M, Benassi, B, Dalmastri, C, D'Elia, I, Piersanti, A, Sannino, G, Zanini, G, Uccelli, R, Michetti M., Gualtieri M., Anav A., Adani M., Benassi B., Dalmastri C., D'Elia I., Piersanti A., Sannino G., Zanini G., and Uccelli R.
- Abstract
Heat and cold temperatures associated with exposure to poor air quality lead to increased mortality. Using a generalized linear model with Poisson regression for overdispersion, this study quantifies the natural-caused mortality burden attributable to heat/cold temperatures and PM10 and O3 air pollutants in Rome and Milan, the two most populated Italian cities. We calculate local-specific mortality relative risks (RRs) for the period 2004–2015 considering the overall population and the most vulnerable age category (≥85 years). Combining a regional climate model with a chemistry-transport model under future climate and air pollution scenarios (RCP2.6 and RCP8.5), we then project mortality to 2050. Results show that for historical mortality the burden is much larger for cold than for warm temperatures. RR peaks during wintertime in Milan and summertime in Rome, highlighting the relevance of accounting for the effects of air pollution besides that of climate, in particular PM10 for Milan and O3 for Rome. Overall, Milan reports higher RRs while, in both cities, the elderly appear more susceptible to heat/cold and air pollution events than the average population. Two counterbalancing effects shape mortality in the future: an increase associated with higher and more frequent warmer daily temperatures – especially in the case of climate inaction – and a decrease due to declining cold-mortality burden. The outcomes highlight the urgent need to adopt more stringent and integrated climate and air quality policies to reduce the temperature and air pollution combined effects on health.
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- 2022
4. Evaluation of air quality forecasting system FORAIR-IT over Europe and Italy at high resolution for year 2017
- Author
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Adani, M, D'Isidoro, M, Mircea, M, Guarnieri, G, Vitali, L, D'Elia, I, Ciancarella, L, Gualtieri, M, Briganti, G, Cappelletti, A, Piersanti, A, Stracquadanio, M, Righini, G, Russo, F, Cremona, G, Villani, M, Zanini, G, Adani, M, D'Isidoro, M, Mircea, M, Guarnieri, G, Vitali, L, D'Elia, I, Ciancarella, L, Gualtieri, M, Briganti, G, Cappelletti, A, Piersanti, A, Stracquadanio, M, Righini, G, Russo, F, Cremona, G, Villani, M, and Zanini, G
- Abstract
Air pollution represents a global threat leading to large impacts on health and ecosystems and many European areas still show a poor air quality. Air quality forecasts are instruments, which may support authorities and citizens in reducing these impacts. This work presents the development and the performance evaluation of an air quality forecast system for Italy: FORAIR- IT. It operates at both European and Italian scales at 20 km and 4 km resolution, respectively. The forecasts' performances are evaluated against measurements, through a comparison with CAMS_50 validated reanalysis ensemble and by an in depth evaluation during a long lasting PM10 episode, which occurred in Emilia Romagna region in October 2017. The results show similar skill scores between FORAIT-IT and CAMS_50 for PM10, PM2.5, NO2 and O-3 concentrations. The increase of model resolution over Italy and the use of the national emission inventory lead to a better reproduction of pollutant concentrations at urban and suburban sites for PM10, PM(2.5 )and NO2. The analysis of the pollution episode shows that the correct forecast of the meteorological forcing is fundamental in capturing both the timing and the occurrence of the exceedances, while the poor performance of the model in reproducing the magnitude of the exceedances may be due to the lack of information on some emissions sources such as agricultural biomass burning.
- Published
- 2022
5. From single to multivariable exposure models to translate climatic and air pollution effects into mortality risk. A customized application to the city of Rome, Italy
- Author
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Michetti, M., Adani, M., Anav, A., Benassi, B., Dalmastri, C., D'Elia, I., Gualtieri, M., Piersanti, A., Sannino, G., Uccelli, R., and Zanini, G.
- Published
- 2022
- Full Text
- View/download PDF
6. Cost-effective reductions of PM2.5 concentrations and exposure in Italy.
- Author
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Ciucci, A., D’Elia, I., Wagner, F., Sander, R., Ciancarella, L., Zanini, G., and Schöpp, W.
- Subjects
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AIR pollution , *PARTICULATE matter , *ENVIRONMENTAL policy , *HEALTH impact assessment , *COST effectiveness - Abstract
In recent years several European air pollution policies have been based on a cost-effectiveness approach. In the European Union, the European Commission starts using the multi-pollutant, multi-effect GAINS (Greenhouse Gas Air Pollution Interactions and Synergies) model to identify cost-effective National Emission Ceilings and specific emission control measures for each Member State to reach these targets. In this paper, we apply the GAINS methodology to the case of Italy with 20 subnational regions. We present regional results for different approaches to environmental target setting for PM2.5 pollution in the year 2030. We have obtained these results using optimization techniques consistent with those of GAINS-Europe, but at a higher resolution. Our results show that an overall health-impact oriented approach is more cost-effective than setting a nation-wide limit value on ambient air quality, such as the one set for the year 2030 by the European Directive on ambient air quality and cleaner air for Europe. The health-impact oriented approach implies additional emission control costs of 153 million €/yr on top of the baseline costs, compared to 322 million €/yr for attaining the nation-wide air quality limit. We provide insights into the distribution of costs and benefits for regions within Italy and identify the main beneficiaries of a health-impact approach over a limit-value approach. [ABSTRACT FROM AUTHOR]
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- 2016
- Full Text
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7. Technical and Non-Technical Measures for air pollution emission reduction: The integrated assessment of the regional Air Quality Management Plans through the Italian national model
- Author
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D'Elia, I., Bencardino, M., Ciancarella, L., Contaldi, M., and Vialetto, G.
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AIR pollution , *EMISSIONS (Air pollution) , *AIR quality management , *AIR quality laws , *FORCE & energy - Abstract
Abstract: The Italian Air Quality legislation underwent sweeping changes with the implementation of the 1996 European Air Quality Framework Directive when the Italian administrative Regions were entrusted with air quality management tasks. The most recent Regional Air Quality Management Plans (AQMPs) highlighted the importance of Non-Technical Measures (NTMs), in addition to Technical Measures (TMs), in meeting environmental targets. The aim of the present work is to compile a list of all the TMs and NTMs taken into account in the Italian Regional AQMPs and to give in the target year, 2010, an estimation of SO2, NOx and PM10 emission reductions, of PM10 concentration and of the health impact of PM2.5 concentrations in terms of Life Expectancy Reduction. In order to do that, RAINS-Italy, as part of the National Integrated Modeling system for International Negotiation on atmospheric pollution (MINNI), has been applied. The management of TMs and NTMs inside RAINS have often obliged both the introduction of exogenous driving force scenarios and the control strategy modification. This has inspired a revision of the many NTM definitions and a clear choice of the definition adopted. It was finally highlighted that only few TMs and NTMs implemented in the AQMPs represent effective measures in reaching the environmental targets. [Copyright &y& Elsevier]
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- 2009
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8. Using mock surveillance to quantify pest detectability prior to establishment of exotic leafminers.
- Author
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Pirtle, Elia I., Umina, Paul A., Hauser, Cindy E., and Maino, James L.
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LEAFMINERS ,PESTS ,MOCK trials ,PLANT parasites ,INSPECTION & review - Abstract
Quantifying detectability of exotic pests in local contexts is crucial for designing efficient and regionally relevant surveillance guidelines. Ironically, for areas most in need of preparedness advice, the study of detectability is hampered by the pest's absence. Here, we present a mock surveillance method whereby pest symptoms are simulated on plants, and the detection probability of visual inspection by practitioners is measured across a range of high priority regions at risk of incursions. Detectability of simulated leaf mining damage was found to be no different to real damage in surveillance trials conducted on the vegetable leafminer, Liriomyza sativae, a recently established pest in Australia. Additional trials confirmed that reducing the natural search speed of survey participants by half increased the odds of detecting a leaf mine by an estimated 3.0 times. However, as movement speed mediates a trade-off between the total area covered (the number of pest encounters) and sensitivity (detection probability for each encounter), we found that a survey effort of 10 s per transect meter enhanced field-level detection of L. sativae at a variety of abundances and available times for surveillance. This study demonstrates that mock surveillance trials, through their use of visual effects to mimic plant pest symptoms, can produce locally tested recommendations to enhance preparedness for exotic pests. [Display omitted] • Mock surveys overcome difficulties of studying pests of biosecurity concern. • Mock surveys involve simulating pests or diseases to measure detectability. • Optimal survey effort was calculated for vegetable leafminer Liriomyza sativae. • Following survey guidelines developed via mock surveys improved detection success. • Imperfect detection and resource trade-offs are crucial considerations. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
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9. Coastal and Marine Spatial Planning in the Northern Gulf of California, Mexico: Consolidating stewardship, property rights, and enforcement for ecosystem-based fisheries management.
- Author
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Morzaria-Luna, Hem Nalini, Turk-Boyer, Peggy, Polanco-Mizquez, Elia I., Downton-Hoffmann, Caroline, Cruz-Piñón, Gabriela, Carrillo-Lammens, Tonatiuh, Loaiza-Villanueva, Rene, Valdivia-Jiménez, Paloma, Sánchez-Cruz, Angeles, Peña-Mendoza, Valeria, López-Ortiz, Ariadna Montserrat, Koch, Volker, Vázquez-Vera, Leonardo, Arreola-Lizárraga, José Alfredo, Amador-Castro, Imelda G., Suárez Castillo, Alvin N., and Munguia-Vega, Adrian
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OCEAN zoning ,PROPERTY rights ,ENVIRONMENTAL protection ,SMALL-scale fisheries ,FISHERY management ,FISH conservation ,ECOLOGY - Abstract
Coastal and Marine Spatial Planning (CMSP) serves as a tool for ecosystem-based management, where human activities are allocated in space and time to meet ecological, economic and social objectives. In this study, we describe the implementation of a CMSP process in Sonora, Mexico, where a multi-tiered governance structure was built with transparent and inclusive stakeholder engagement in decision making processes to address growing conflicts and management problems. In its first phase, the process focused on artisanal fishing activities, the main economic driver in the region. The planning process was driven by CEDO Intercultural, a non-profit focused on environmental conservation and fisheries management. The governance structure included an Intercommunity Fisher Group (IFG), a base technical team, a technical advisory committee and a core group of government authorities relevant to fisheries management. Together, these actors developed different fisheries management tools to organize the spatial use of eleven species exploited by artisanal fisheries. Fishers were elected to represent their communities in the IFG and engaged through workshops to analyze information. Capacity building activities and extensive communication helped ensure broad coverage and understanding of the goals of the coastal corridor and the proposed management tools. These management tools included a network of fisheries refuges, areas for local management, catch quotas, and proposals for regulating fishing effort. They were designed using a variety of modeling approaches that combined the best available science with Local Ecological Knowledge. Management tools were modified based on feedback from the different actors; the final integrated management plan was assessed for impacts on fisheries and ecosystem services and function and a formal proposal was submitted to government agencies. In addition to meeting minutes demonstrating agreement with proposals, local actors wrote letters in support of the Integrated Plan and the Proposal for Fisheries Refuges. We are now defining indicators to measure management effectiveness. If this proposal is legally implemented, it will engage stakeholders in decision making and the spatial planning for the Coastal Corridor while enhancing fishers livelihoods and preserving ecosystem services. Image 1 • A marine spatial planning process was initiated in northern Gulf of California, Sonora, Mexico. • Fisheries refuges and areas for local management (turfs) were proposed. • Communities participated in decision-making to develop an integrated management proposal. • Fishery management tools are being legally formalized for implementation. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
10. Evaluation of air quality forecasting system FORAIR-IT over Europe and Italy at high resolution for year 2017
- Author
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Gaia Righini, Luisella Ciancarella, Andrea Cappelletti, Giuseppe Cremona, Antonio Piersanti, Lina Vitali, Guido Guarnieri, Milena Stracquadanio, Mario Adani, Gino Briganti, Massimo D'Isidoro, Ilaria D'Elia, Felicita Russo, Maria Gabriella Villani, Mihaela Mircea, Maurizio Gualtieri, Gabriele Zanini, Adani, M, D'Isidoro, M, Mircea, M, Guarnieri, G, Vitali, L, D'Elia, I, Ciancarella, L, Gualtieri, M, Briganti, G, Cappelletti, A, Piersanti, A, Stracquadanio, M, Righini, G, Russo, F, Cremona, G, Villani, M, and Zanini, G
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Atmospheric Science ,010504 meteorology & atmospheric sciences ,media_common.quotation_subject ,Air pollution ,High resolution ,Context (language use) ,010501 environmental sciences ,medicine.disease_cause ,01 natural sciences ,Interim ,medicine ,Waste Management and Disposal ,Air quality index ,Model evaluation ,0105 earth and related environmental sciences ,media_common ,business.industry ,Environmental resource management ,Directive ,Pollution ,Air quality forecast ,High resolution over Italy ,Work (electrical) ,Service (economics) ,Environmental science ,business - Abstract
Air pollution represents a global threat leading to large impacts on health and ecosystems and many European areas still show a poor air quality. Many measures and policies have been adopted in the past decades at European, national, regional and even local level and many tools have been developed to tackle this issue. Among these tools, the European Air Quality Directive places more emphasis on the use of models for air quality assessment and management. Within this context, air quality forecasting systems play an important role in supporting decision makers when short-term actions are required to reduce human health risks by limiting population exposure. In this framework, at European level within the Copernicus Atmosphere Monitoring Service (CAMS), the regional air quality models participating to the service provide 4-day daily forecasts of the main atmospheric pollutants concentrations, in the lowest layers of the atmosphere. This work presents the development and the performances evaluation of FORAIR_IT, an high-resolution air quality forecasting system operating at both European (20 km) and Italian (4 km) scales. Its skill results are compared with CAMS_50 interim ensemble reanalysis (IRA) ones and a long lasting PM10 exceeding event, occurred in Emilia Romagna region in October 2017, is studied in more detail. Results show similar skill scores between FORAIT_IT and CAMS_50. Comparing the annual average of the monthly Root Mean Square Error Difference (RMSED) between FORAIT_IT first forecast day and CAMS_50, over the European domain the RMSED is 0.6, 1.7, 1.4 and 7.4 μg/m3 for daily mean PM10 and PM2.5 and daily maximum for NO2 and O3, respectively, while over the Italian domain it is 1.2, 0.3, 4.3 and 3.8 μg/m3. The importance of increasing model resolution in the region of interest is highlighted by the lower values of RMSED over Italy with respect to Europe. The results obtained by the detailed analysis of the PM10 exceeding event suggests the crucial role of the meteorological forcing in capturing both the timing and the intensity of the exceedances. As far as we know FORAIR_IT is the first forecasting system at high spatial resolution at Italian National level.
- Published
- 2022
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