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Hydropower and photovoltaic power are widely used as clean energy sources around the world. Hydro-Photovoltaic complementary is precisely the use of the regulation performance of hydropower stations and the peak regulation performance of PV electric fields to improve the system's power generation efficiency. The Yalong River basin as one of China's clean energy bases, is rich in water and light resources. And now its midstream Yangfanggou hydropower station has just been completed, and the relevant PV electric field is in the construction planning stage. It is worth studying how to effectively utilize its hydropower and PV output resources. Therefore, Yangfanggou hydropower station and its PV electric field are taken as the research objects in this paper. The possibility of hydro-photovoltaic complementarity is analyzed within the year and day respectively. Then, a short-term scheduling model of hydrophotovoltaic complementarity is constructed according to the principle, and its operation mode and effect are optimized using the genetic algorithm NSGA-II. The results indicate that the annual power generation of the system is increased by about 1.4 billion kWh from the original hydropower through the hydrophotovoltaic complementary, and the annual guaranteed output is also increased with a large increase degree at the same time. [ABSTRACT FROM AUTHOR]

With its early start in urbanization, Europe has accumulated a wealth of practical experience in urban agriculture (UA), exploring various development models. This paper compares and analyzes the characteristic patterns of UA in Europe and China through theoretical research, academic frontier exploration, and case analysis. In order to investigate and analyze theoretical developments and the current state of academic frontiers in a systematic, accessible, and comprehensive approach, the methodology of bibliometric analysis has been utilized. A bibliometric method is applied to analyze relevant data from the Web of Science (WoS) core collection database and 2230 CNKI publications. The case study section conducts separate field research on nine representative European practices of urban food gardening and urban farming. Additionally, the study scrutinizes UA research development and its implementation in Hangzhou, China. Based on the findings of this study, the authors recommend that European approaches to the development of UA in China's future UA practice be taken into account, in particular their methods and strategies for realizing social and cultural benefits. It is imperative to integrate UA projects into urban green space system planning and to rationalize their construction types. Simultaneously, Chinese scholars are encouraged to explore the socio-cultural functions of UA, with a particular focus on urban agricultural heritage conservation. [ABSTRACT FROM AUTHOR]

Background: To meet the needs of diversified pension services and the construction of aged care institutions is one of the urgent livelihood issues in China. Under the major national needs of pension and care for the elderly, it is necessary to optimize the allocation of pension and care for the elderly resources, and formulate operational coping strategies and optimization plans. It is of great significance to deal with the urgent problem of population aging in a timely and scientific way. Methods: The economic benefits and social costs of aged care institutions are regarded as objective functions. To satisfy the economic benefits, it is necessary to reduce the social costs, and its construction quantity can only be an integer. The multi-objective genetic algorithm is improved with integer programming, and the global optimal solution is achieved after several times of searching. Under the multi-objective optimization model, the improved genetic algorithm was combined with the superior and inferior solution distance method to solve the genetic algorithm, and the corresponding objective function value was obtained after rounding. Finally, Pareto optimal solution set is selected by multi-objective decision, and the result of construction planning is obtained. Results: Based on multi-attribute decision analysis and taking three years as the construction cycle, the planning scheme of aged care institutions construction in each district of Nanjing in the next 15 years was proposed. In addition, considering the intelligent trend of future pension, the proportion of home-based pension is increasing year by year, and the model is promoted to meet the needs of diversified pension services. With the gradual increase of the elderly population in Nanjing, the proportion of intelligent home-based care has been increasing year by year since 2027, and the construction demand of aged care institutions has also increased. The number of construction at all levels rises gradually in each cycle, and the increase is more obvious after 2027. Conclusions: The layout and planning of aged care institutions proposed in this paper not only considers economic and environmental benefits, but also combines the current situation of aged care institutions in various districts of Nanjing. The model is reasonable and effective, and has practical application value. It will help China optimize the allocation of elderly care resources under the target of active aging, and scientifically and comprehensively deal with the problem of population aging. [ABSTRACT FROM AUTHOR]

The Tarim River Basin (TRB) is situated in the hinterland of northwest China, which is an extremely arid and fragile ecological zone. In recent years, the region's ecological civilization construction has been facing huge challenges that are exacerbated by climate change and human activities. In order to verify the current ecological status of TRB, this paper explores the spatial and temporal variation in ecosystem service value (ESV) and the impact mechanism based on LUCC data from 2000 to 2020, using the adjusted unit area value equivalent method, the elasticity index method and the geo-probe analysis method. The results show that: (1) the ESV of the TRB has fluctuated since 2000, increasing by CNY 14.02 billion, especially in the Hotan River region. Among the individual ecosystem services, the increase in regulatory services is the largest, rising to CNY 8.842 billion. The growth of ESV mostly occurred in the mountains and oases. (2) The rise in ESV is mainly due to the conversion of barren land to water and grassland; ESV loss is mainly affected by the conversion of water to cropland and barren land and grassland to cropland and barren land. (3) Human activity impact or intensity (HAI) is the key driving factor for the spatial stratified heterogeneity of ESV, followed by elevation (DEM). In the interaction analysis, HAI∩DEM interaction is the primary reason for ESV's spatial differentiation. The study's findings show that the combined effects of human activities, DEM, and hydrothermal conditions underlie the spatial stratified heterogeneity of ESV in the TRB. This conclusion provides a scientific basis for future ecological civilization construction planning. [ABSTRACT FROM AUTHOR]

Copyright of South Architecture / Nanfang Jianzhu is the property of South Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Science & Technology of Cereals, Oils & Foods is the property of Science & Technology of Cereals, Oils & Foods Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As China's "double carbon" goal continues to advance, logistics as a key area of carbon emissions and low-carbon logistics center site selection are key links in the process. However, existing studies on logistics center location often ignore the impact of demand uncertainty, which leads to a waste of resources in the planning and construction processes. We take logistics cost and carbon emission as the objectives, and the multi-objective site selection model established based on stochastic programming theory takes demand uncertainty as a stochastic constraint. We transform the stochastic constraint model into a 0–1 mixed integer multi-objective planning model by utilizing the idea of equivalence transformation. The Aptenodytes Forsteri Optimization (AFO) algorithm is combined with the Ideal Point Method to solve the model, and the algorithm is compared with the Particle Swarm Optimization (PSO), Differential Evolutionary (DE), Tabu Search (TS), Sparrow Search (SS) algorithms, and the exact solver Linear Interactive and General Optimizer (LINGO). The examples verify the validity of the models and algorithms, with an average reduction of 6.2% and 3.6% in logistics costs and carbon emissions in the case of demand determination, and at the confidence level of 0.9 under demand uncertainty, both logistics costs and carbon emissions are decreased to varying degrees. This study provides a new research idea for the low-carbon logistics location problem under demand uncertainty, which helps to promote the transformation of the logistics industry to low-carbon and high-efficiency. [ABSTRACT FROM AUTHOR]

As China's railways continue to expand into the Qinghai–Tibet Plateau, the number of deep-buried long tunnels is increasing. Tunnel-damaging geothermal disasters have become a common problem in underground engineering. Predicting the potential geothermal disaster areas along the Yunnan–Tibet railway project is conducive to its planning and construction and the realization of the United Nations Sustainable Development Goals (SDGs)—specifically, the industry, innovation and infrastructure goal (SDG 9). In this paper, the Yunnan–Tibet railway project was the study area. Landsat-8 images and other spatial data were used to investigate causes and distributions of geothermal disasters. A collinearity diagnosis of environmental variables was carried out. Twelve environmental variables, such as land surface temperature, were selected to predict potential geothermal disaster areas using four niche models (MaxEnt, Bioclim, Domain and GARP). The prediction results were divided into four levels and had different characteristics. Among them, the area under receiver operating characteristic curve (AUC) and kappa values of the MaxEnt model were the highest, at 0.84 and 0.63, respectively. Its prediction accuracy was the highest and the algorithm results are more suitable for the prediction of geothermal disasters. The prediction results show that the geothermal disaster potential is greatest in the Markam-Deqen, Zuogong-Zayu and Baxoi-Zayu regions. Through jack-knife analysis, it was found that the land surface temperature, active faults, water system distribution and Moho depth are the key environmental predictors of potential geothermal disaster areas. The research results provide a reference for the design and construction of the Yunnan–Tibet railway project and associated sustainable development. [ABSTRACT FROM AUTHOR]

Urban style is the comprehensive expression of the material environment, the associated cultural connotation and social life. Under the influence of globalization and rapid urban expansion, many cities around the world show a global convergence in style, which poses a challenge in terms of satisfying both function and local identity. However, the current insufficiency of research on the quantitative evaluation of urban style makes it hard to have a full grasp on how urban style can instruct land use and landscape planning strategies. In this paper, we propose Suitability, Aesthetics and Vitality as three core dimensions of urban style, and construct a quantitative evaluation framework for urban style evaluation at the street level. Taking a street in Hengyang County, China as an example, the method's operability is demonstrated, and the results show that urban style performance is closely related to building construction periods, trends of urban expansion, and the natural environment. Improvement strategies include harmonizing urban spatial form, increasing the diversity of land use, and moderately improving the quality of building facades. This method can be applied at a greater scale to effectively reflect local characteristics and relevant problems. It can also provide an objective basis for future planning and construction. [ABSTRACT FROM AUTHOR]

Tunneling by means of shield or TBM is by now the advanced construction method, and the domestic application of them is relatively late compared with other countries. With the rapid development of national economy, other shield or TBM is progressed unprecedently, and will come to a peak in near future. This paper conducts a statistics of the shield tunnels in service, under construction and in planning from 2007 to 2021, and prospects the development of both tunnels. Shield and TBM tunneling reduce labor intensity, raise the quality and efficiency of tunneling, enhances work safety and improve working conditions, which are the effective way to alleviate the shortage of human resources and a long term solution to promote industrial upgrading. The modern and scientific shield and TBM methods will see broad application in China. [ABSTRACT FROM AUTHOR]

As demand for electricity grows in China, the existing power grid is coming under increasing pressure. Expansion of power generation and delivery capacities across the country requires years of planning and construction. In the meantime, to ensure safe operation of the power grid, it is important to coordinate and optimize the demand side usage. In this paper, we report on our experience deploying an artificial intelligence (AI)-empowered demand-side management platform - the Power Intelligent Decision Support (PIDS) platform - in Shandong Province, China. It consists of three main components: 1) short-term power consumption gap prediction, 2) fine-grained Demand Response (DR) with optimal power adjustment planning, and 3) Orderly Power Utilization (OPU) recommendations to ensure stable operation while minimizing power disruptions and improving fair treatment of participating companies. PIDS has been deployed since August 2018. It is helping over 400 companies optimize their power usage through DR, while dynamically managing the OPU process for around 10,000 companies. Compared to the previous system, power outage under PIDS due to forced shutdown has been reduced from 16% to 0.56%. [ABSTRACT FROM AUTHOR]

In the paper, we analyze the climate-related risks of rainstorm floods, droughts and water shortages, high temperatures, and heavy hazes in the Xiongan New Area. A warming and drying trend was seen in Xiongan New Area during 1961–2018, as evidenced by the increase in the number of high-temperature days and the maximum rainfall intensity per hour, a decrease in surface water resources and groundwater levels, a reduction in wind speeds, and weakening of the self-purification capacity of the atmosphere. It is estimated that the areas at high risk of floods and heats will increase by 15.7 and 15.6% in around 2035 relative to 1986–2005, respectively. Although the runoff in the Daqing River Basin will increase, the construction of Xiongan New Area means that the imbalance between the supply and demand of water resources will remain. Climate change adaptation measures should therefore be improved in the planning and construction of Xiongan New Area. Finally, we discuss the approaches to address climate-related risks in this new area. [ABSTRACT FROM AUTHOR]

The continuation of human civilization is inseparable from the development and construction of rural areas, and infrastructure is the core of rural development. China has been building large-scale rural infrastructure in recent years. Rural infrastructure building, for example, is huge in both quantity and scope, but it is beset by challenges in its current construction and development, and it urgently requires suitable leadership. Planning assessment, as a technical method, can identify problems in regional development and is a powerful tool for evaluating the impact of planning and construction and promoting the development of complete new areas. This paper is aimed at the planning evaluation of rural construction and the evaluation of rural construction and guides the planning and implementation of the next step of rural construction, to assist China's supervision and inspection of rural construction effect and promote rural construction and development into a good track. In view of the low accuracy and efficiency of the current evaluation model of rural planning and the problem that a single neural network easily produces local extreme value, the neural network method is improved, and the application of LM-BP neural network in the evaluation model of rural planning is proposed. Input sample elements are five factors affecting rural construction, including industrial construction, population distribution, and utilization rate of large-scale facilities, construction of public facilities, and promotion effect of supporting policies. Output sample is the evaluation result. On this foundation, the LM-BP neural network was used to convert the training into a least square problem, and the LM method was used to redefine the number of hidden layer nodes, resulting in the construction of a rural planning evaluation model based on the LM-BP neural network. This approach is used to determine the outcomes of rural planning evaluations. The experimental results show that the designed evaluation model has a small evaluation error, has the advantage of high accuracy compared with similar models, and is a reliable evaluation model for rural planning. [ABSTRACT FROM AUTHOR]

It has been nearly 20 years since the Law of the People's Republic of China on Environmental Impact Assessment (EIA) formally came into effect in 2003. The development of China's EIA system has gone through the stages of exploration, practice and reform. The evaluation objects have expanded from construction projects to planning, and then to policies, forming an EIA system with Chinese characteristics. This paper first draws on the experience of international EIA effectiveness evaluation and puts forward a checklist combined with China's practice. Based on this checklist, the development of China's EIA system is systematically reviewed and analyzed from the perspective of effectiveness evaluation. Finally, this paper proposes keys and priorities for the future effectiveness improvement of China's EIA system, and puts forward policy recommendations of realistic value for EIA to help China achieve high-standard protection and high-quality development. It is found that, as an important means of environmental management, the laws and regulations system, and administration system of China's EIA system play an important role. However, there are still some imperfections. The connotation of Strategic Environmental Assessment in China still needs to be further enriched, and support system such as public participation need to be strengthened. • Establishing a checklist of China's EIA system based on effectiveness evaluation. • A comprehensive review of the development of China's EIA system. • Using EIA-related government documents, reports and practices as evaluation basis. • Four suggestions proposed to improve the effectiveness of EIA system of China. [ABSTRACT FROM AUTHOR]

Nighttime light data play an important role in the research on cities, while the urban centers over a large spatial scale are still far from clearly understood. Aiming at the current challenges in monitoring the spatial structure of cities using nighttime light data, this paper proposes a new method for identifying urban centers for massive cities at the large spatial scale based on the brightness information captured by the Suomi National Polar-Orbiting Partnership's Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) sensor. Based on the method for extracting the peak point based on digital elevation model (DEM) data in terrain analysis, the maximum neighborhood and difference algorithms were applied to the NPP-VIIRS data to extract the pixels with the peak nighttime light intensity to identify the potential locations of urban centers. The results show 7239 urban centers in 2200 cities in China in 2017, with an average of 3.3 urban centers per city. Approximately 68% of the cities had significant polycentric structures. The developed method in this paper is useful for identifying the urban centers and can provide the reference to the city planning and construction. [ABSTRACT FROM AUTHOR]

Copyright of Study on Optical Communications / Guangtongxin Yanjiu is the property of Study on Optical Communications Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Grasslands play a vital role in the global ecosystem. Efficient and reproducible methods for estimating the grassland aboveground biomass (AGB) are crucial for understanding grassland growth, promoting sustainable development, and assessing the carbon cycle. Currently, the available methods are limited by their computational inefficiency, model transfer, and sampling scale. Therefore, in this study, the estimation of grassland AGB over a large area was achieved by coupling the PROSAIL model with the support vector machine regression (SVR) method. The ill-posed inverse problem of the PROSAIL model was mitigated through kernel-based regularization using the SVR model. The Zoigê Plateau was used as the case study area, and the results demonstrated that the estimated biomass accurately reproduced the reference AGB map generated by zooming in on on-site measurements (R2 = 0.64, RMSE = 43.52 g/m2, RRMSE = 15.13%). The estimated AGB map also maintained a high fitting accuracy with field sampling data (R2 = 0.69, RMSE = 44.07 g/m2, RRMSE = 14.21%). Further, the generated time-series profiles of grass AGB for 2022 were consistent with the trends in local grass growth dynamics. The proposed method combines the advantages of the PROSAIL model and the regression algorithm, reduces the dependence on field sampling data, improves the universality and repeatability of grassland AGB estimation, and provides an efficient approach for grassland ecosystem construction and planning. [ABSTRACT FROM AUTHOR]

With the acceleration of China's urbanization process, in order to meet the needs of new urban users' source-source interaction and multi-energy complementation, this paper proposes a new urban energy interconnection LAN design and construction ideas, from distributed photovoltaic systems, energy storage systems, phase change heat storage. The system and the AC-DC grid interconnection and intercommunication four specific aspects of the design and construction plan, given the electric vehicle charging and discharging interactive operation and phase change heat storage and ground source heat pump combined heating two typical application scenarios. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Hebei University of Science & Technology is the property of Hebei University of Science & Technology, Journal of Hebei University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As the global climate change and the rapid progress of urbanization, the frequent occurrence of flooding disasters and non-point source pollution seriously threaten the sustainable development of modern cities. To alleviate these problems, China started to pilot construction of the "Sponge City" (SPC). Over a decade, it has attracted public attention, supports, and participations. The paper presents a literature review of sponge city construction (SPCC) process (planning, design and construction) as well as the assessment of SPC, including: operation, maintenance, and effectiveness. Research gap and future works are also proposed. The paper offers some tactics for SPCC, including: 1) in the planning and construction stage of SPC, the goals and systematic plans should be formulated according to local water-environmental conditions. The drainage plan should cover the strategy to dispose runoff volumes at sources and the ultimately goal for flood mitigation. The drainage design involves the combination of various green and grey infrastructures; 2) It is important to identify monitoring methods and hydrological models which can be used to assess the performance of a SPC. With adequate field data, all models and methods should be calibrated for not only runoff quantity and quality control but also the alleviation of urban heat island effects, including the base flows and local groundwater table; 3) Based on the regional field data, it is necessary to standardize regional design parameters, construction material specifics, and maintenance scheme and schedule that would significantly affect the facility's infiltrating and filtering processes, therefore, a regular maintenance program should be initiated to monitor the operations of the as-built facilities according to local climate conditions. The paper evaluated several maintenance methods for ten typical facilities to provide a reference for the operation and maintenance of facilities in SPCC. • The sponge city construction (SPCC) and design methods were introduced in detail. • Scientific and reasonable assessment can better guide the SPCCs. • The sponge city (SPC) facilities can be a better way to control stormwater runoff. • Monitoring and simulation method are equally important for assessing SPC effect. • A maintenance program should be initiated to monitor the operations of SPC facility. [ABSTRACT FROM AUTHOR]

Xu, B., 2020. Opinions on organic renewal and construction south of the Yangtze River guided by water resources and elements. In: Hu, C. and Cai, M. (eds.), Geo-informatics and Oceanography. Journal of Coastal Research, Special Issue No. 105, pp. 199–203. Coconut Creek (Florida), ISSN 0749-0208. Key issues in the development of waterfront space south of the Yangtze River are analyzed based on the identification and analysis of traditional elements of regions in southern China, and a concept for renewal and development of regions in southern China is proposed that uses water elements as factors to activate the traditional village–town space. Based on full respect and utilization of the river network, this paper excavates important design elements, builds a planning and construction model for organic renewal of villages and towns south of the Yangtze River, constructs a target frame system from a new perspective that features organic renewal of the countryside guided by water resources and elements, and puts forward a development strategy, implementation approach, and institutional innovation under this integrated target system. [ABSTRACT FROM AUTHOR]

Chen, L. and Wang, Y., 2020. Study on plant configuration and planning of landscape architecture in coastal cities. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 17-20. Coconut Creek (Florida), ISSN 0749-0208. The development and progress of society put forward higher requirements for the development of coastal cities. Strengthening the planning and construction of coastal cities has become an important task and work at present. Plant landscape is the most direct and only landscape that can make people feel the changes of life. Its richness and diversity will have a profound impact on people's life and spirit. It can directly show the beauty of plants, give people a feeling of being close to nature, and can coordinate with the surrounding coastal city environment to change the ecological environment. In this paper, the classification and characteristics of seasonal plants are summarized, and the design principles, common plant configuration forms and plant selection of coastal city landscape gardens are systematically discussed. On this basis, the design points of coastal city planning are put forward in order to promote the continuous improvement of ecological planning and design level of coastal cities in China. [ABSTRACT FROM AUTHOR]

[Display omitted] • A method for spatiotemporal coordination of multienergy systems is proposed. • Virtual energy storage gain is calculated based on spectral analysis. • The hydropower regulation ability affects the virtual energy storage gain. • The optimal coordination range between multiple energy sources is obtained. Utilizing the spatial heterogeneity and climate periodicity of various available renewable energy sources can enhance the multienergy complementarity, which will further reduce the energy storage demand and contributes to the "virtual energy storage gain." In this paper, we propose a spatiotemporal coordination method based on spectral analysis for a wind-PV-hydropower system that targets the maximum virtual energy storage gain. The complementary effect of hydropower on wind and PV power can be seen as changes in the regulation ability resulting from the hydropower construction development as well as a decreased variance in the total system production output. This method is used to determine the optimal coordination distance of multiple energy sources that are matched over different periods representing typical climate variation. A case study in the Yalong River basin in China obtains the best range of hydropower bundling surrounding wind power and PV power stations under different hydropower construction planning scenarios, and it reveals that increased regulation capacity of hydropower will reduce the optimal coordination distance but can achieve more energy balance if both actual storage and virtual storage is accounted for. This approach can realize energy delivery with the optimal coordination distance to meet intensive and efficient development needs, which can provide guidance and support for the planning and construction of wind-PV-hydropower storage systems. [ABSTRACT FROM AUTHOR]

Rural communities have long been overlooked since globalization and urbanization struck traditional rural values. Building a sustainable rural community has become a contested issue in academia, especially after implementing the Rural Revival Strategy. This research attempted to establish a participatory planning approach, which considers rural planners as the external impetus and local villagers as an internal driving force, to promote the sustainability of rural communities. Carrying on the theoretical framework of public participation, the researchers carried out a pilot practice in Hongtang Village, Yunan Province, China, where planners tried to reestablish the social relationship in a village by designing and building a rural yard. We do not solely finish the design, but also advocate, communicate, and work with villagers to activate the vitality of the village. The research argues that the focus of rural planning and construction in China is to develop a participatory planning approach, which is human-oriented and place-based. Planners, acting as an external impetus, advocate public participation in the whole planning process, including mapping, designing, constructing, and managing. We try to empower villagers themselves rather than impose. During this participatory planning process, villagers improve the quality of their settlements through continuous dialogue and cooperation, and the social relationships among them become enhanced. Thus, rural communities are restructuring in both environmental and social dimensions to promote rural sustainability. Additionally, participatory planning in rural areas is constantly correcting itself to be more local, scientific, and rational and become a more powerful protector and promoter of public interests in this process. [ABSTRACT FROM AUTHOR]

He, C.; Xiang, X.; Lin, J., and Yu, L., 2020. Study on urban design characteristics of new coastal "reclamation type" town. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 363–367. Coconut Creek (Florida), ISSN 0749-0208. The construction of new coastal reclamation areas is an important decision in China, because it is a form of development and construction that must adapt to many problems in coastal areas, including rapid socioeconomic development, rapid population growth, and serious shortage of land resources. China has many coastal provinces, which will be limited by the shortage of land resources. Therefore, in the rapid economic development, coastal cities will be greatly restricted, which will limit the rapid process of urbanization. China has abundant beach resources. Therefore, reclamation and city building have become the main means to alleviate land resource shortages. In recent years, various coastal cities in China have carried out new reclamation-type town design, which has its own unique characteristics. These new city construction plans need to be improved, because the "reclamation type" city is an important part of urban construction planning in the future. This paper analyzes the current situation of the construction of the new coastal reclamation areas, presents the methods, and suggests improvements. [ABSTRACT FROM AUTHOR]

As China is a mountainous country, a large quantity of the population has to live in mountainous areas due to limited living space. Most of them cluster along roads in areas with relatively poor traffic conditions. In view of the spatial-temporal change of complex geological and ecological environment along the roads in the mountains, this paper takes the Dujiangyan- Wenchuan (Du-Wen) Road as the research object, and puts forward a method to evaluate the bearing capacity of regional geological and ecological environment based on the evaluation of quality and spatial coupling of bearing capacity. For the needs of the current research, a total number of 20 indicators from three aspects of geological, ecological, and social attributes were selected to carry out the assessment. Based on the GIS platform and evaluation index system, the weight of each evaluation index factor is determined by Analytic Hierarchy Process (AHP). The comprehensive quality of bearing capacity is calculated by the Technique for Order of Preference by Similarity to an Ideal Solution (TOPSIS) algorithm through weighted superposition, which comes to result in the evaluation of geological, ecological, and social environment. Afterward, the bearing capacity of the study area is classified, combining the results of hot spot analysis. The study shows that the spatial distribution of geological, ecological, and socio-economic bearing capacity in this area is highly aggregated, with 31.12% of the area to be classified as suitable construction area, 31.98% as backup reserve area, and 36.79% as unsuitable construction area. The studied triangle area, composed of Yingxiu Town, Xuankou Town, and Dujiangyan City, presents a large area of a high-valued aggregation area, with comprehensive high quality bearing capacity and spatial aggregation, which is better for planning and construction. [ABSTRACT FROM AUTHOR]

How to optimize the spatial distribution of terraces in the watershed is an important scientific problem. It was researched through a watershed solid-scale physical model based on the 3D reappearance of a scene under the Cartesian coordinate system, with the lowest point of the watershed as the origin. The results showed that the change of the spatial pattern of terraced fields in the basin had an important impact on the production of runoff and sediment. There was an approximate quadratic-function relationship between the spatial location and the parameters of runoff and confluence. If Rt was terrace-erosion-reduction benefit, it could be defined as the reduction in the watershed-erosion modulus per unit of terrace area. The longitudinal distribution of Rt was upper and middle > lower parts, and the vertical distribution of Rt was high > low place. The erosion reduction was 77.67% of the terraces of the middle and upper, occupying 33% of the watershed area. The change of the Rt was logarithmically related to the relative distance (r) from the center of the terrace. When r was around 0.35, there was an inflection point in Rt growth. The results of this study have important practical significance for the planning and construction of terraces in the watershed. [ABSTRACT FROM AUTHOR]

In the context of climate change, the impact of extreme precipitation and its chain effects has intensified in the southeastern coastal region of China, posing a serious threat to the socioeconomic development in the region. This study took tropical cyclones–extreme precipitation–flash floods as an example to carry out a risk assessment of flash floods under climate change in the Yantanxi River Basin, southeastern China. To obtain the flash flood inundation characteristics through hydrologic–hydrodynamic modeling, the study combined representative concentration pathway (RCP) and shared socioeconomic pathway (SSP) scenarios to examine the change of flash flood risk and used the geographical detector to explore the driving factors behind the change. The results show that flash flood risk in the Yantanxi River Basin will significantly increase, and that socioeconomic factors and precipitation are the main driving forces. Under the RCP4.5-SSP2 and RCP8.5-SSP5 scenarios, the risk of flash floods is expected to increase by 88.79% and 95.57%, respectively. The main drivers in the case study area are GDP density (q = 0.85), process rainfall (q = 0.74), asset density (q = 0.68), and population density (q = 0.67). The study highlights the influence of socioeconomic factors on the change of flash flood disaster risk in small river basins. Our findings also provide a reference for regional planning and construction of flood control facilities in flash flood-prone areas, which may help to reduce the risk of flash floods. [ABSTRACT FROM AUTHOR]

Based on the background of the reconstruction project from Changqing Chenzhuang-Pingyin section of G220 east-deep line in China, a special tunnel structure and construction plan was carried out according to the construction measures of the shallow-buried small spacing tunnel passing underneath cultural relic buildings, and a comprehensive deformation control scheme of "CRD construction method single-arm excavation + surface grouting prereinforcement + advanced large pipe shed presupport" was put forward. The results of numerical simulation and on-site construction monitoring showed that the overall deformation of aqueduct foundation generally increases first, then decreases and increases again, and finally tends to be stable. The effects of surface grouting prereinforcement and advance large pipe shed presupport are obvious. The comprehensive deformation control scheme can ensure the safety of the existing construction and meet the safety prevention and control requirements. [ABSTRACT FROM AUTHOR]

[Display omitted] • Accurate assessment of China's ecological environment changes in the past 20 years is important. • We used time-series NDVI data (1998–2018) to evaluate China's ecological environment change. • In one-third of China the ecological environment has improved, and in 10%, the ecological environment has deteriorated. • The Yellow River Basin is an area where the ecological environment has significantly improved. • The main reason for the deterioration in the ecological environment of the eastern coastal areas is urban expansion. The ecological environment is the foundation of human survival and development. China's ecological environment has undergone a historic transition from partial improvement to overall improvement. In this paper, long time series NDVI data (1998–2018) are used to evaluate the ecological environment change and spatiotemporal change that has taken place in China over the last 20 years, at different scales (regional, provincial, county, and grid scales). Combined with typical areas, the causes of ecological environment change are revealed. The results show that in about one-third of China, the ecological environment improved, and in 10%, the ecological environment deteriorated. Ningxia, Shaanxi, Shanxi, Guizhou, and Guangxi are the provinces in which the improvement of the ecological environment is most pronounced. However, the ecological environments with vegetation as the core in Shanghai and Jiangsu Province have deteriorated significantly. The areas with the fastest improvement in their ecological environment are those with precipitation of 200–600 mm. The Yellow River Basin is an area where the ecological environment has significantly improved. Forestry projects and the development of oasis agriculture effectively promote the improvement of the ecological environment. In the past 20 years, the main reason for the degradation of the ecological environment in eastern coastal areas is urban expansion. China should continue to strengthen its overall layout of forestry projects and improve its ecological environment. When planning its ecological construction, China should fully consider the associated physical and geographical conditions, and adjust measures to local conditions accordingly. China should coordinate the relationship between development and protection and avoid the "pie spread" expansion witnessed in eastern coastal areas. [ABSTRACT FROM AUTHOR]

The aim of the study is to provide an overview of the current position of the People's Republic of China with its green building action plan and the built buildings in the country that manifested the idea of sustainable design and green architecture. Recognized green building principles and strategies are stated as a guide in proving the sustainability of the buildings in China when compared to their know sustainable features. A descriptive study was conducted with the use of secondary data collection as the methodology which delivers the main purpose of the study in gaining insights and providing an overview of the sustainable design and green architecture in China. Related studies and the literature are verified first by the author s to insure reliability of provided information. As a result, the green building action plan is defined and related to the current five-year action plan of China, example buildings in the country that incorporates sustainability principles and strategies are provided, and the common basis of sustainable design and green architecture are briefly discussed.. [ABSTRACT FROM AUTHOR]

Since the beginning of 2020, the weak domestic power demand caused by the COVID-19 pandemic and the large-scale advancement of coal power construction projects may have further aggravated the coal power overcapacity in China. Given the new situation, this study collected the data on China's installed electricity capacity and electricity demand during the 13th Five-Year Plan period. Moreover, a reasonable capacity evaluation model of coal power was established based on the energy and electric power balance to analyze China's coal power overcapacity in 2019 and determine the reasonable capacity for 2025. The internal reasons of unreasonable energy structure and regional difference of energy structure are systematically discussed. Results show that the overcapacity in 2019 was approximately 170 GW, and the overcapacity situation in North, Northwest, and South China was particularly serious. The reasonable coal power capacity for 2025 under the basic situation is 950 GW, indicating that if all the coal power units under construction and planning are operated, the overcapacity in 2025 will be 300 GW. Sensitivity and comprehensive scenario analyses show that under different scenarios, the upper and lower limits of the reasonable coal power capacity in 2025 are 1083 and 794 GW, respectively. Finally, this paper proposes relevant policy recommendations to cope with China's serious coal power overcapacity problem. [Display omitted] • Capacity evaluation model of coal power is established. • Quantitative analysis is provided for each regional power grid of China. • The coal power overcapacity of China exceeds 170 GW in 2019. • The overcapacity situation may further deteriorate during the 14th FYP period. • A reasonable scale of coal power is 950–1000 GW at 2025. [ABSTRACT FROM AUTHOR]

Since the financial crisis in 2008, innovation has gradually become the orientation of global economic development and the strategic choice for China's urban development. With the transformation of the urban development mode from factor-driven and capital-driven to innovation-driven, many innovation spaces have begun to emerge in cities, which attract academic attention. A large number of studies on the relation between innovation activities and geographic space mainly focus on the phenomena at the regional level, and the city is only regarded as a target of innovation activities agglomeration. The study on the distribution of innovation space within the city is insufficient. In particular, there is a lack of studies on the spatial-temporal evolution of urban innovation space distribution. However, the study on the spatial-temporal evolution characteristics of urban innovation space distribution can provide planning countermeasures for the construction of innovative cities in China. Taking Nanjing as an empirical area, the spatial-temporal evolution of urban innovation space distribution was studied through methods such as average nearest neighbor, standard deviational ellipse, kernel density estimation, and exploratory spatial data analysis based on the data of high-tech enterprises identified from 2008 to 2019. The results showed the following: (1) the distribution of urban innovation space has significant spatial agglomeration characteristics, and the degree of agglomeration continued to rise; (2) regardless of the macro- or microperspective, the distribution of urban innovation space has shown the characteristic of diffusion at the initial, but the trend of polarization in recent years is significant; and (3) the distribution of urban innovation space exhibited diverse agglomeration modes and evolution trends in different regions, and it can be divided into three categories: grouped, banded, and scattered. [ABSTRACT FROM AUTHOR]

The accurate forecast of air cargo demand is essential for infrastructure construction planning and daily operation management. Evidently, it is extremely difficult to capture the dynamics of time series impacted by distinct sources. To reduce the complexity of data, the current popular method is to decompose the original data into several modal branches with different characteristic attributes. But the new problem is that the components generated by decomposition are still irregular and unstable, and there is no unified method to predict them. In this paper, a new secondary decomposition-ensemble (SDE) approach with a cuckoo search algorithm (CSA) is proposed for air cargo forecasting. More specifically, the original air cargo time series is decomposed into several components by an enhanced decomposition formwork, which consists of variational mode decomposition (VMD), sample entropy (SE) and empirical mode decomposition (EMD). Subsequently, the ARIMA and the Elman neural networks (ENN) optimized by CSA are respectively applied to forecast the trend component and the low-frequency components, during which the phase space reconstruction (PSR) is conducted to determine the input structure of neural networks. The final forecasting results are obtained by integrating the predicted values of each component. Besides, the air cargo series from three different airports in China are adopted to validate the performance of our proposed approach and the empirical results show that it is superior to all other benchmark models in terms of the robustness and accuracy. • A new enhanced secondary decomposition-ensemble approach is proposed for air cargo forecasting. • The phase space reconstruction is employed to design the form of Elman neural network. • The cuckoo search algorithm is used to improve the forecasting ability of Elman neural network. • The ARIMA model is applied to predict the trend component of modes. • Empirical results verify that the proposed approach outperforms other considered benchmark models. [ABSTRACT FROM AUTHOR]

In recent years, in order to promote the construction of low-carbon communities (LCCs) in China, many scholars have proposed an evaluation indicator system of LCC. The existing indicator systems are mostly established from the macro perspective of environmental impact and resource conservation, but few are from the micro technical perspective. Thus, the aim of this study is to construct a micro technical evaluation indicator system for LCCs. Firstly, the index system was divided into three categories: low-carbon building, low-carbon transportation, and low-carbon environment. Then, the technical indicators were selected through empirical analysis. The indicator weights were assigned by the improved analytic hierarchy process (AHP) and the multi-level fuzzy comprehensive evaluation method was used as the evaluation method of the indicators. Finally, in order to examine the practicality of the indicator system, two typical communities in Tianjin and Shanghai were selected as case studies. The results showed that the indicator system gave a reasonable low-carbon level for the two communities, which was in line with the actual low-carbon construction status of each community. In addition, the evaluation results pointed out that the low-carbon community (LCC) in Tianjin needs to further strengthen the construction of the low-carbon environment, including community compactness, rainwater collection and utilization, and waste recycling. For the LCC in Shanghai, it was pointed out that the construction of the low-carbon building and low-carbon transportation needs to be strengthened. The indicator system can be used as a tool for urban planning and construction personnel to evaluate the construction progress and low-carbon degree of LCC. [ABSTRACT FROM AUTHOR]

Hu, Y. and Li, J.; 2020. Long-term variations of wind, wave and surge in offshore China. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 1438-1442. Coconut Creek (Florida), ISSN 0749-0208. Affected by the climate change, the meteorological and ocean elements in the world are experiencing a long-term variation. This study analyzes the long-term trends of wind, wave and surge in offshore China. The long-term data for trend analysis of wind speed (V), significant wave height (H) and surge (S) are obtained from a 35-year numerical simulation (1979-2013) which is driven by the blended wind data of reanalysis and typhoon model. The domain averaged V and H are analyzed. The results indicate that V and H increased from 1998 to 2013 while kept stable from 1979 to 1997 in general. The linear trend of V, H and S at every grid in the study area are studied by analysis of regression. It is found that V in the southeast part of China seas increases about 2cm/s per year. However, no obvious trend is showed for V in other locations of the study area. The long-term variations of H generally have similar distribution pattern as V which increases about 0.15cm per year in the southeast area. To understand the temporal variations of extremely big values of V, H and S, the maximum values of those elements are examined and found to be closely related to typhoon events in the northwest Pacific Ocean. The results of this study can be helpful for the exploitation of wind and wave resources or the planning of offshore constructions under the changing climate [ABSTRACT FROM AUTHOR]

Combined heat and power (CHP), an efficient heating method with cascades use of energy, accounts for approximately 50% of the heat sources in northern China. Many researchers have made significant efforts to improve its energy efficiency and environmental effects with important achievements. Given that the system produces heat and electricity at the same time, this study focuses on the role of CHP in the holistic urban energy system and points out the mismatch between the demand and supply sides of urban energy systems by using the heat-to-power ratio as a parameter. The calculation method and characteristics of the supply side heat-to-power ratio of eight heating methods and the maximum demand side heat-to-power ratio for 19 cities in northern China are displayed. After the analysis, it is concluded that (1) the maximum demand side heat-to-power ratio in the cities varies from 1.0 to 5.9, which is affected by the location and social, economic, and industrial structures. (2) In most of the cities, with the current energy structure, the demand side heat-to-power ratios are always larger than the supply side heat-to-power ratios. (3) The reduction in heating demand, surplus heat recovery, and the use of a highly efficient electric heating method, such as the heat pump, can help solve the mismatch of the heat-to-power ratio between the demand and supply sides. These conclusions can guide the urban energy planning and system construction. [ABSTRACT FROM AUTHOR]