Environmental Impact Assessment Review最新文献

{"title":"Synergistic benefits of pollution and carbon reduction in collaborative domestic solid waste disposal: A life cycle perspective","authors":"Dongfang Guo ,&nbsp;Sui Zhang ,&nbsp;Ziyi Dai ,&nbsp;Huimin Hou ,&nbsp;Guangzheng Wang ,&nbsp;He Xu","doi":"10.1016/j.eiar.2025.107892","DOIUrl":"10.1016/j.eiar.2025.107892","url":null,"abstract":"<div><div>With the acceleration of population growth and urbanization, domestic solid waste has emerged as a critical concern for the sustainable development of cities. China is actively exploring collaborative disposal models to achieve synergistic reductions in both pollutants and greenhouse gases. This study comprehensively assesses the environmental impacts of a domestic solid waste collaborative disposal park from a life cycle perspective, identifies key cooperative factors, and evaluates the overall effects of optimizing these factors. Additionally, a synergistic evaluation model for pollution and carbon reduction has been developed to quantify the degree of synergy across different domestic solid waste disposal patterns. The results indicate that the environmental benefits of domestic solid waste collaborative disposal parks primarily originate from the energy system and slag recycling processes. Conversely, the incineration and flue gas purification systems are major contributors to environmental impact and should be prioritized in environmental management and monitoring. Among the cooperative factors, material factors have the most significant influence and are critical for future optimization. This study demonstrates the environmental benefits of promoting collaborative disposal of domestic solid waste in China from a quantitative perspective, providing valuable data to support decision-makers in further optimizing or implementing such practices. Furthermore, it establishes a reference framework for analyzing other disposal models, contributing to a broader understanding of sustainable waste management.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107892"},"PeriodicalIF":9.8,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Moderating the influence of social norms on climate change mitigation behavior: The roles of environmental beliefs, government quality, and policy incentives","authors":"Lin Xu ,&nbsp;Xianxin Qian ,&nbsp;Maoliang Ling","doi":"10.1016/j.eiar.2025.107901","DOIUrl":"10.1016/j.eiar.2025.107901","url":null,"abstract":"<div><div>Although social norms—what other people commonly do and approve of—are widely cited as a key antecedent of individuals' pro-environmental behavior (PEB), empirical research has revealed considerable variability in the norm-PEB relationship. Through a large survey of residents in Hangzhou, China, this study investigates the impact of perceived social norms on climate change mitigation behaviors, focusing on both private-sphere PEB and public-sphere environmental activism. It seeks to advance the current understanding of norm effect heterogeneity by exploring the unique roles of intrapersonal environmental beliefs and perceptions of government institutions and policy incentives in moderating normative influence.</div><div>The results show that perceived social norms had an overall positive effect on both private behavior and environmental activism scales, emerging as the most powerful predictor for each. Importantly, the normative influence on the activism scale was more pronounced among individuals with higher levels of climate change risk concerns or personal moral obligation toward mitigation, and those who endorsed the quality of government more strongly, whereas on the private behavior scale, normative influence was greater among those who perceived external financial incentives for private PEBs as more salient. The moderation patterns observed based on composite scales remained consistent across individual PEBs, except that risk concerns and moral obligation also positively moderated the norm impact on one private behavior (energy saving). Overall, the findings highlight the substantial interactions between social norms and other behavioral determinants, with important implications for refining PEB theories and informing climate policies.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107901"},"PeriodicalIF":9.8,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143561842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decoding spatial patterns of urban thermal comfort: Explainable machine learning reveals drivers of thermal perception","authors":"Chunguang Hu,&nbsp;Hui Zeng","doi":"10.1016/j.eiar.2025.107895","DOIUrl":"10.1016/j.eiar.2025.107895","url":null,"abstract":"<div><div>Thermal comfort (TC) is a pivotal indicator of urban quality of life and influences public health, productivity, and satisfaction. This study leverages remote sensing data from 2019 to 2023 to construct a national-scale TC framework using the Modified Temperature and Humidity Index (MTHI). This analysis reveals the spatial heterogeneity of TCs across China and their key driving mechanisms. The findings show a northwest–southeast gradient in the TC, with a decreasing contrast in this direction and a north–south disparity alongside a northward shift in heat discomfort centers. High-comfort zones are found in the western plateaus, northeastern regions, and southern mountains; conversely, low-comfort zones are concentrated in the northwest, North China Plain, and southern basins, particularly in the densely urbanized eastern coastal cities and central urban clusters. Coastal areas show high internal variability, whereas inland plateaus are more stable. Natural environmental factors have emerged as the primary drivers of TC. Shapley additive explanations (SHAP) values show a continuous upward trend, underscoring the crucial role of enhanced NDVI in improving TC. Although socioeconomic factors show increased SHAP values, their adverse impacts persist as urbanization and rising building density exacerbate TC deterioration. Landscape factors exert complex effects on TC, with water body landscapes displaying an optimal regulatory range. Interactions among driving factors, characterized by direct and complex trade-offs, further modulate and intensify the effects of TC. The proposed multiscale optimization framework provides strategic insights for managing China's urban thermal environment and offers guidance for other regions with similar climate challenges.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107895"},"PeriodicalIF":9.8,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new framework for eco-compensation funds allocation in China based on multi-attribute decision-making method","authors":"Chen Chi ,&nbsp;Juqin Shen ,&nbsp;Xin Huang ,&nbsp;Xin Gao ,&nbsp;Pei Hu ,&nbsp;Fuhua Sun","doi":"10.1016/j.eiar.2025.107891","DOIUrl":"10.1016/j.eiar.2025.107891","url":null,"abstract":"<div><div>A fair and reasonable allocation of compensation funds is key to effectively implementing the eco-compensation (EC) policy. However, as existing studies ignored social stability, technological innovation, and livelihood development, and failed to consider time, cognitive differences, and ambiguities in the subjective judgments of stakeholders on the final decision-making, EC policies had difficulties in achieving the desired goals. This paper constructs an EC funds allocation (ECFA) multi-dimensional index system integrating ecological state, environmental governance, economic development, social equity, technological level, and livelihood security. Furthermore, it incorporates the dimensions of time and expert opinion into the calculation of indicator weights. By introducing the Triangular Fuzzy Number, a new multi-attribute decision-making framework, the “subjective-objective integrated weights + decision-making model”, is proposed to determine an ECFA scheme with high acceptability. The results show that: (1) The proposed ECFA index system, which takes into account society, technology, and people's livelihood, has allocation results among regions that are not too disparate and more acceptable to local governments. (2) The weights of ecological state, environmental management, economic development, social equity, technology level, and livelihood security are 0.28, 0.17, 0.14, 0.15, 0.13, and 0.13, respectively, with the water resource per capita having the greatest impact on ECFA, and the annual rainfall impacts the smallest. (3) ECFA standards for China in 2022 were high in the west and low in the east; Tibet received the highest fund quota (11.28 billion CNY), while Jiangsu was allocated the lowest quota (less than 0.03 billion CNY). (4) Compared to the actual EC funds issued by the central government, based on the decision-making model proposed in this study, 16 regions obtain higher quotas. Tibet has the largest difference between the two allocations (up to 7.59 billion CNY). This paper provides a reference for countries to optimize the design of the ECFA scheme and improve the EC mechanism.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107891"},"PeriodicalIF":9.8,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing a regional environmental risk assessment model for biocides manufactured in South Korea","authors":"Min-Yong Lee ,&nbsp;Jin Hwi Kim ,&nbsp;Dong Hoon Lee ,&nbsp;Joseph Albert Mendoza","doi":"10.1016/j.eiar.2025.107893","DOIUrl":"10.1016/j.eiar.2025.107893","url":null,"abstract":"<div><div>The Humidifier Disinfectant Case in South Korea caused 1533 deaths in 2011. To prevent such accidents, the South Korean government implemented the Consumer Chemical Products and Biocides Safety Control Act in 2019, introducing an approval system for biocidal substances and products. The law established an environmental risk assessment based on exposure to these substances and products. We conducted an environmental risk assessment for 11 cities in South Korea to determine the degree of risk to the surrounding area that may occur during biocidal substance manufacturing. In our research, we derived predicted no-effect concentrations (PNEC) based on toxicity values for each organism for microorganisms in sewage treatment plants (STP), freshwater, sediment, and terrestrial compartments for the biocides such as 2-propanol, zinc oxide, calcium oxide, imidacloprid, sodium hypochlorite, and peracetic acid. The predicted environmental concentrations (PEC) of the six biocides were calculated based on the discharge from 11 manufacturing facilities. Local PECs were as high as 1000 mg/L for 2-propanol in STP and 3–90 mg/L for zinc oxide and calcium oxide in STP, while regional PECs were as low as 0.03 mg/L for 2-propanol in surface water. The hazard quotient (HQ) for the six substances shows that 2-propanol, zinc oxide, calcium oxide, and peracetic acid exceed the hazard at STP in Tier 1. However, we found no risk in Tier 2, which considers the characteristics of the actual substances and their behavior in the sewer system. We developed a model that reflects the regional characteristics of each environmental medium through predicted emissions and PECs that may occur during the manufacture of biocidal substances. The model provides a valuable tool for tiered evaluation and control for environmental risk assessment of biocidal substances.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107893"},"PeriodicalIF":9.8,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving impact assessment efficiency: Connecting research and practice in times of change","authors":"Steve Bonnell","doi":"10.1016/j.eiar.2025.107896","DOIUrl":"10.1016/j.eiar.2025.107896","url":null,"abstract":"<div><div>The current push towards increased efficiency in impact assessment (IA) creates new opportunities for research to inform future practice. This includes investigating approaches for gaining efficiency at various stages of IA conduct and reporting, and for evaluating their feasibility, utility and how they may be applied without compromising IA quality and effectiveness. This article highlights some potential areas for such research to help address current efficiency issues and needs in IA practice.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107896"},"PeriodicalIF":9.8,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal patterns and drivers of public concern about air pollution in China: Leveraging online big data and interpretable machine learning","authors":"Gang Xu ,&nbsp;Haimeng Liu ,&nbsp;Chunwang Jia ,&nbsp;Tianyu Zhou ,&nbsp;Jing Shang ,&nbsp;Xuejie Zhang ,&nbsp;Yunge Wang ,&nbsp;Mengke Wu","doi":"10.1016/j.eiar.2025.107897","DOIUrl":"10.1016/j.eiar.2025.107897","url":null,"abstract":"<div><div>Public concern about air pollution directly shape residents' risk adaptation behaviors, government policies, and environmental sustainability. However, long-term nationwide studies in China are limited, with even fewer examining the nonlinear mechanisms driving these dynamics. Using Baidu search data from 290 cities across China (2011−2022), we analyzed the spatiotemporal patterns of public concern about air pollution and its mismatch with actual observed pollution levels. We further employed an XGBoost-SHAP model to reveal nonlinear effects of various factors on public concern. The results show a rise-and-fall trend in public concern from 2011 to 2022, with a clear correlation between declining concern and reduced PM_2.5 levels after 2016. Concern was highest in coastal areas, the North China Plain, and northern coal-producing regions. In 2011, 980 million people had “high pollution-low concern,” dropping to around 200 million since 2016. Meanwhile, the population with “low pollution-high concern” steadily grew, highlighting China's progress in air pollution control and public environmental awareness. Actual air pollution levels are not the primary driver of public concern; education and income have the strongest influence. Public concern shows a roughly linear relationship with education, urban development, and media access. However, income and PM_2.5 levels display nonlinear effects: concern plateaus above a per capita income of 28,000 yuan and declines after 60,000 yuan. Similarly, concern stabilizes once PM_2.5 levels exceed 80 μg/m³. This study reveals the nonlinear effects and threshold dynamics driving public environmental concern, offering valuable insights to inform strategies for advancing public environmental awareness and strengthening environmental governance in China.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107897"},"PeriodicalIF":9.8,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Promoting sustainable transition for tea plantations through carbon incentives and offsets: A case study in Pu’er, Yunnan Province, China","authors":"Hao Li ,&nbsp;Shuqi Yang ,&nbsp;Yinan Xu ,&nbsp;Wangsheng Gao ,&nbsp;Jixiao Cui ,&nbsp;Yuanquan Chen","doi":"10.1016/j.eiar.2025.107890","DOIUrl":"10.1016/j.eiar.2025.107890","url":null,"abstract":"<div><div>Tea is one of the most popular beverages worldwide. The transition to sustainable tea production is of paramount importance for the industry. This study assessed the carbon footprint of tea production in the Pu’er region, China, by integrating carbon sequestration and emissions using a “cradle-to-gate” lifecycle concept. Furthermore, a dualtier emission reduction simulations combining six measures and four scenarios was conducted to develop carbon offset and incentive standards for tea plantations based on their emission intensity. The results indicated that organic tea plantations had an average carbon emission of 1.24 t CO₂ eq ha⁻¹, while conventionally managed tea plantations had an average of 3.96 t CO₂ eq ha⁻¹. The carbon emissions of conventionally managed tea plantations exhibited considerable variability, and through cluster analysis, were categorized into high, medium, and low emission intensities. Compared with conventionally managed tea plantations of high, medium, and low intensities, organic tea exhibited significant reductions in carbon emissions of 76.92 %, 69.48 %, and 57.11 %, respectively, while increasing carbon sequestration by 25.33 %, 11.52 %, and 25.36 %, respectively. An integrated program of improved fertilizer management, optimized agricultural practices, and strengthened policy guidance resulted in a reduction of carbon emissions from conventional tea plantations by 48.02 %, 44.97 %, and 55.92 %, respectively, while the net carbon sink of organic tea plantations increased by 22.36 %. Various carbon incentive and offset standards scenarios were developed based on the emission intensities. The carbon incentives for conventional tea plantations ranged from 0.38 to 6.49 USD ha⁻¹ for single scenarios and 2.26 to 10.11 USD ha⁻¹ for combined scenarios, respectively. Carbon offsets for organic tea plantations ranged from 11.31 to 13.69 USD ha⁻¹ for combined scenarios. This study underscores the necessity for novel carbon management strategies in tea production and the significance of carbon offsets and incentives for low-carbon transformation of tea cultivation. This study is a valuable reference for other agricultural sectors pursuing sustainability and climate resilience.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107890"},"PeriodicalIF":9.8,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Water stress exacerbated by altered flow pathways in the Tibetan plateau: A critical analysis","authors":"Yuling Ren ,&nbsp;Saurabh Mishra ,&nbsp;Yanqing Lian ,&nbsp;Jianyun Zhang ,&nbsp;Junliang Jin ,&nbsp;Ke Zhang ,&nbsp;Weiguang Wang ,&nbsp;Yongliang Gao ,&nbsp;Yashuo Guan ,&nbsp;Muwu Ling ,&nbsp;Xiaonan Sun","doi":"10.1016/j.eiar.2025.107888","DOIUrl":"10.1016/j.eiar.2025.107888","url":null,"abstract":"<div><div>Tibetan Plateau (TP), bordering major freshwater reservoirs in Asia, is facing rapid climate warming, which could significantly alter the subsurface hydrological processes that concurrently reduce regional terrestrial water storage (TWS). The present study posits a critical analysis and discussion over the impact of climate change-driven altered water flow pathways that exacerbate water stress conditions in TP. Subsequently, the variability in precipitation patterns, glacier and snow cover expansion, surface and subsurface water dynamics of TP is analyzed and discussed. The changes in TWS components that derive water stress conditions in TP are comprehensively discussed. Furthermore, key challenges, perspectives, and future research trends are explored to develop potential mitigation measures. The results reveal that precipitation has apparently decreased in the southeast TP and contrarily increased in the headwater region of Yellow River. The solid water (snow and glaciers) melting and permafrost thawing have irreversibly declined, leading to significant changes in the stream flow of major river basins in time and space since 1998. Currently,the outer area of Yellow, Ganges-Brahmaputra, Indus, and Amu Darya basins are experiencing severe water stress. It is projected that the water stress index value would increase all across Ganges-Brahmaputra (∼0.79 i.e. severe water stress) and Yellow basins (∼0.96) by 2050s and 2080s, respectively if the current rate of climate change remains unchanged. This study will reinforce in–depth understanding of climate change–driven water storage transition, which could be resourceful for developing better management practices targeted to mitigate water stress under the countenance of unstoppable climate change.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107888"},"PeriodicalIF":9.8,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating habitat isolation driven by future urban growth: A landscape connectivity perspective","authors":"Guanqiao Ding ,&nbsp;Jie Guo ,&nbsp;Dan Yi ,&nbsp;Minghao Ou ,&nbsp;Guishan Yang","doi":"10.1016/j.eiar.2025.107886","DOIUrl":"10.1016/j.eiar.2025.107886","url":null,"abstract":"<div><div>Natural habitats in rapidly urbanizing regions face significant human disturbances due to urban development. However, the extent to which future urban growth will further isolate these habitats remains inadequately explored. To address this gap, we developed a comprehensive framework that integrates habitat isolation assessment with future urban growth models, using the Nanjing Metropolitan Area from 2020 to 2050 as a case study. We employed Morphological Spatial Pattern Analysis (MSPA) to delineate natural habitat patches and identified urban pixels causing isolation through an ecological network approach. The Isolation Effect Index (IEI) and the Isolation Degree Index (IDI) were used to quantify the isolation impacts of urban areas at the pixel scale and the degree of isolation for individual habitat patches. Utilizing the Patch-Generating Land Use Simulation (PLUS) model, we projected land use changes under five Shared Socioeconomic Pathways (SSPs) to analyze the dynamics of IEI and IDI from 2020 to 2050. Our findings reveal that urban pixels in the central area are hotspots for causing isolation, severely impacting surrounding natural habitats. Increases in habitat isolation are primarily driven by newly-added urban pixels, particularly from low expansion intensity, indicating that non-intensified urban expansion exacerbates habitat isolation. This study quantifies the habitat isolation caused by future urban growth, with the isolation mitigation strategies are both essential for understanding human impacts on natural habitats and improving ecological protection policies.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"113 ","pages":"Article 107886"},"PeriodicalIF":9.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143521255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}