工业工程最新文献

{"title":"[Analysis of Urban Vegetation Changes and Drivers in City of Plateau River Valleys].","authors":"Hong Tang, Lin-Tong Zhang","doi":"10.13227/j.hjkx.202401244","DOIUrl":"https://doi.org/10.13227/j.hjkx.202401244","url":null,"abstract":"<p><p>Lanzhou is a typical banded plateau river valley city. This study provides a reference for vegetation restoration， soil and water conservation， and ecological environmental protection of the plateau river valley city. It also supports the sustainable development of Lanzhou. Using remote sensing image data from 2000 to 2020， we analyzed the spatial and temporal trends of vegetation NDVI during the growing season in Lanzhou. We employed the R/S index， Sen slope analysis， MK test， and coefficient of variation to conduct our analysis. Additionally， we used geodetic probes to comprehensively analyze the effects of both natural and anthropogenic factors on the spatial variation of vegetation NDVI. The results indicate that： ① From 2000 to 2020， the vegetation NDVI in the anthropogenic area was mainly of medium grade， with a growth rate of 0.004 8 a^-1. The trends observed were 'insignificant degradation' and 'continuous degradation'. ② The vegetation in the inactive area showed mainly medium-low and low grades of NDVI， with a growth rate of 0.005 8 a^-1， indicating a trend of 'not significantly improved' and 'continuously improved'. The stability of vegetation growth was poor. ③ In Lanzhou， the NDVI of the vegetation in the improvement area accounted for 83.5%， while the degradation area accounted for 16.3%. The high fluctuation change area accounted for 51.1%， and the low fluctuation change area accounted for only 5.7%. ④ Soil type， vegetation type， and precipitation were natural factors that affected vegetation change. Meanwhile， land use type and population density were anthropogenic factors that also had an impact on vegetation change. ⑤ In the factor interaction analysis， vegetation type and precipitation were the main factors affecting the spatial distribution of vegetation NDVI， and slope， slope direction， population density， GDP， agricultural value added， and industrial value added were the indirect factors. ⑥ Based on the analysis of various factors， it is evident that the optimal soil type was drench soil， the preferred land type was woodland， the suitable vegetation type was coniferous forest， and the ideal elevation range was between 3 500 to 3 671 meters. Overall， the NDVI of vegetation in Lanzhou was in the middle to low grade， and the growth stability of the vegetation was relatively poor. However， there is a trend of improvement for the future. In contrast， the vegetation growth stability was higher， and the vegetation NDVI grade was higher in the anthropogenic area， while the non-anthropogenic area had lower vegetation growth stability and NDVI grade. Soil had the greatest influence on vegetation growth， making it a key challenge for ecological management in Lanzhou. This highlights the need to consider human activities when assessing vegetation growth. Anthropogenic factors have a slow but steady impact， surpassing other factors in their influence.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 6","pages":"3645-3655"},"PeriodicalIF":0.0,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144529978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Distribution Characteristics and Ecological Risk Assessment of Antibiotics in Water and Sediment of Yongjiang River Basin].","authors":"Yun Liu, Yu-Hang Wang, Mei-Yan Kong, Xin-Yi Zhang, Yan Pang, Cai-Fang Jiang, Qian Xu, Hui-Yu Dong, Min Yang, Min Liu, Shao-Gang Liu","doi":"10.13227/j.hjkx.202404131","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404131","url":null,"abstract":"<p><p>The overuse and continuous input of antibiotics lead to their significant accumulation in aquatic environments， which poses a potential threat to aquatic ecosystems and human health. The spatial and temporal distribution of 38 antibiotics in the waters and sediments of Yongjiang River Basin （YRB） as well as the corresponding ecological risks were analyzed. The results showed that there were significant differences in the species and concentrations of antibiotics in surface water and sediments during different hydrological periods. The average level of antibiotics in the flood season （471.8 ng·L^-1） was much higher than that in the normal season （150.7 ng·L^-1） and dry season （133.3 ng·L^-1）. The antibiotic levels in the sediments decreased following the order of normal season （227.7 ng·g^-1） &gt; dry season （165.6 ng·g^-1） &gt; flood season （90.3 ng·g^-1）. From the perspective of spatial distribution， the average concentration of antibiotics in the tributary （170.0-521.5 ng·L^-1） was higher than that in the main stream （111.5-431.4 ng·L^-1）， and the maximum contribution of antibiotic pollution came from the Liangfengjiang tributary. Based on the ecological risk entropy assessment， ofloxacin， enoxacin， and norfloxacin in YRB exhibited higher risk to algae. Lomefloxacin posed a high risk to aquatic invertebrates. The presence of antibiotics in YRB posed a certain extent ecological risk.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 6","pages":"3371-3381"},"PeriodicalIF":0.0,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Spatial Differentiation and Driving Factors of Ecosystem Health in Yellow River Estuary National Park].","authors":"Hui-Xin Zhang, Mei Han, Xiang-Lun Kong, Jin-Xin Sun, Xu-Meng Duan","doi":"10.13227/j.hjkx.202405133","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405133","url":null,"abstract":"<p><p>The Yellow River Estuary National Park is located in the land-sea-river interaction zone. The ecosystem of this area is fragile， and the study of its ecosystem health is the basis to promote the healthy and stable development of the national park ecosystem. Based on the Vigor， Organization， Resilience， and Ecosystem Service Function （VORS） model， the land ecosystem health level of the Yellow River Estuary National Park was evaluated. The results of ecosystem health evaluation were verified by the remote sensing ecological index of water body shape， and the spatial autocorrelation model was used to reveal the spatial differentiation characteristics of ecosystem health. The main driving factors of spatial differentiation were explored by using the optimal parameter geographic detector model. The results showed that： ① The health level of the terrestrial ecosystem in the Yellow River Estuary National Park was mainly good and general， and the proportion of the area was 30.64% and 47.66%， respectively. ② The water body shape remote sensing ecological index， ESRI world image， and ecosystem health level are in good agreement. ③ From the perspective of spatial distribution， the healthy areas of the ecosystem were concentrated on both sides of the Yellow River. The good areas were distributed in the waters between the salt marsh wetland and the beach in the southern region. The general area was distributed in the northern area and the eastern part of the southern area， mainly for salt marsh wetlands and beaches. The poor area was concentrated in the cultivated land area in the southeast of the study area. The poor areas were scattered， mainly for construction land. ④ Factor detection showed that the spatial differentiation of ecosystem health was mainly driven by the normalized vegetation index （NDVI）. The interactive detection shows that NDVI population density had the strongest explanatory power for driving spatial differentiation of ecosystem health. The results can provide scientific basis for ecosystem protection and management in the Yellow River Estuary National Park.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 6","pages":"3656-3671"},"PeriodicalIF":0.0,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Exploring the Impact of Future Multi-scenario Land Use Change on Henan Province Regional Carbon Storage].","authors":"Shuang Wang, Xiao Zhao, Sheng-Hui Zhou","doi":"10.13227/j.hjkx.202405168","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405168","url":null,"abstract":"<p><p>Land use/cover change （LUCC） is an important factor affecting regional carbon storage. It is of great significance to study the relationship between LUCC and carbon storage for optimizing land management and improving ecological environment. The land use status of Henan Province has changed significantly in recent years. Based on land cover data and combined with InVEST and PLUS model， this study analyzed the spatio-temporal evolution of LUCC in Henan Province from 2005 to 2020， as well as the development trend of LUCC and carbon storage under the natural development scenario （Q1）， ecological protection scenario （Q2）， and urban development scenario （Q3）. The results show that： ① The total carbon storage of Henan Province decreased 87.47×10⁶ t from 2005 to 2020， and the carbon storage of different land use types was as follows： cropland &gt; forest &gt; grassland &gt; urban area &gt; water area &gt; unused land， which was consistent with the size of land types. ② In the future three scenarios， the area of six land use types in Henan Province was as follows： cropland &gt; forest &gt; urban area &gt; water area &gt; grassland &gt; unused land. The construction land area increased obviously in Q1 and Q3 compared with that in Q2， the grassland increased obviously in Q2 compared with that in Q1 and Q3， and the increase mainly occurred in the central and northern parts of Henan Province. ③ The carbon storage under three scenarios in Henan Province showed a trend of \"Q1 decreasing- Q2 increasing- Q3 decreasing\" in 2035， indicating that the regional carbon storage will decrease by 12.80×10⁶ t compared with that in 2020 under the condition of good ecological environment. Furthermore， the larger carbon storage was distributed in the western， northern， and southern provincial boundaries of Henan Province. There was a good consistency between LUCC and carbon storage change in Henan Province. Therefore， optimizing the spatial distribution of land use and formulating reasonable policies to protect grassland and forest will help to improve regional carbon reserves. This study can provide scientific reference for Henan Province to further implement sustainable development and achieve the goal of \"double carbon\".</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 6","pages":"3830-3845"},"PeriodicalIF":0.0,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Full Life Cycle Assessment and Scenario Simulation of Plug-in Hybrid Electric Vehicles].","authors":"Shuo Zhang, Zi-Qiang Cao, Chun-Mei Zhang, Yi-Song Chen","doi":"10.13227/j.hjkx.202405052","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405052","url":null,"abstract":"<p><p>To study the resource utilization and environmental impacts over the life cycle of plug-in hybrid electric vehicles （PHEV）， this study employs a life cycle assessment （LCA） approach. It focuses on the Toyota Levin PHEV for inventory analysis， assessing material and fossil fuel consumption and the overall environmental footprint. Additionally， the study compares these impacts with those of battery electric vehicles （BEV） and hybrid electric vehicles （HEV）， analyzing various factors such as operational conditions， battery wear， and mileage increments during usage. The research found that the extraction and utilization of metals like lithium and copper led to considerable consumption of material resources， with operational energy use being the major contributor to the vehicle's lifetime fossil fuel consumption. Scenarios of urban， highway， and aggressive driving suggest that BEVs maintain the lowest environmental and resource burden. The study further investigated the effect of battery capacity degradation to 90% and 85%， noting a heightened sensitivity in BEVs. Mileage increments of 10 000， 50 000， 100 000， and 150 000 km were analyzed under private and taxi usage scenarios， indicating a higher environmental and resource impact in BEVs and PHEVs under private usage when exceeding 50 000 km compared to that of HEVs and PHEVs used in taxis.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 6","pages":"3604-3618"},"PeriodicalIF":0.0,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Effects of Water Management Coupled with Sulfur on the Reduction of Soil Cadmium and Arsenic Activities].","authors":"Yu-Han Wu, Lei He, Han-Hua Zhu, Cong Wang, Qi-Hong Zhu, Dao-You Huang, Chao Xu, Quan Zhang","doi":"10.13227/j.hjkx.202403248","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403248","url":null,"abstract":"<p><p>In order to study the synergistic effect of water management combined with sulfur application on the reduction of soil cadmium （Cd） and arsenic （As） activities， a total of 30 treatments were set up under three water conditions，namely， flooding （F）， alternate flooding and moist （FM）， and moist （M）， with five concentration gradients of sulfate （SO₄^2-） and elemental sulfur （S⁰）. The results showed that compared with that under the non-sulfur treatment （CK）， the application of sulfur under the F treatment significantly reduced the content of soil Cd extracted by 25.59%-35.56%. The increase of moisture promoted the conversion of exchangeable Cd to reducible Cd and oxidizable Cd. Under the three water conditions and S⁰，the As content of soil was reduced by 24.43%，19.65%，and 25.69%，respectively，and the As content of the soil extracted state was reduced by 13.22% under the condition of SO₄^2- and M. Moreover， the content of obligate adsorbed arsenic decreased with the decrease of soil moisture content， and the content of amorphous iron-manganese oxide-bound arsenic and crystalline iron-manganese oxide-bound arsenic increased with the decrease of soil moisture content. In this experiment， the content of Cd in the extracted state of soil was the lowest when F was combined with S⁰. The As content of soil extraction was relatively low when two kinds of sulfur were applied together. FM coupled with two kinds of sulfur fertilizer reduced the extractable cadmium and arsenic content in soil and remained at a relatively low level. Additionally， the effect of supplying S⁰ on the reduction of soil extractable Cd and As content was stronger than that of supplying SO₄^2-. According to the correlation analysis， soil available Cd and As were significantly correlated with soil pH， complex iron oxide （Fe-p）， and free iron oxide （Fe-d）， which suggested that the coupling of sulfur in water management could reduce soil Cd and As activities via changing the soil pH and the transformation of iron morphological induced by the soil redox state. In summary， appropriate water management （alternating flooding and wetting） combined with exogenous elemental sulfur application can be adopted to reduce the availability of Cd and As in soil by regulating soil redox potential （Eh）， pH， and soil iron occurrence morphology for Cd and As-contaminated soils.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 6","pages":"3913-3922"},"PeriodicalIF":0.0,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Hydrochemical Characteristics and Controlling Factors of Groundwater in the Angulinao Basin].","authors":"Xue-Mei Ma, Wei Li, Qi-Jun Deng, Yi-di Zheng, Xue-Jun Ma, Lei Gong, Jin He","doi":"10.13227/j.hjkx.202405185","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405185","url":null,"abstract":"<p><p>To study the hydrochemical characteristics and controlling factors of groundwater from the quaternary aquifer， basalt aquifer， and other bedrock aquifer in the Angulinao Basin， 175 water samples from groundwater， surface water， and rain were collected. Comprehensive methods such as mathematical statistics， Piper trilinear diagram， Gibbs plot， ion ratio， and factor analysis were used to analyze and explore the hydrochemical characteristics and controlling factors of the groundwater in the study area. The results showed that the groundwater was characterized by a generally low alkalinity， with average TDS values of the three types of groundwater， from highest to lowest， shown as follows： 929.7 mg·L^-1 （other bedrock groundwater） &gt; 863.4 mg·L^-1 （quaternary groundwater） &gt; 657.4 mg·L^-1 （basalt groundwater）. Additionally， the contents of Na⁺， Cl^-， NO₃^-， and F^- were lower in basalt groundwater than in other types of groundwater. The hydrochemical types of basalt groundwater and quaternary groundwater were mainly HCO₃-Ca·Mg type， while the other bedrock groundwaters were HCO₃-Ca·Mg and Cl·SO₄-Ca·Mg type. The chemical evolution of groundwater was primarily influenced by a combination of factors， including rock weathering， evaporation， crystallization， cation exchange， and human activities in the study area. There was little difference in the main ion sources of the three types of groundwater； weathering and dissolution of silicate minerals had the greatest influence on the quality of the groundwater， while carbonate and evaporite rocks also provided part of the source of groundwater composition. The principal control factors were leaching and concentration processes as well as the impact of human activities and inherent geological factor， whose cumulative contribution rates were 81.32%， 84.83%， and 77.39% separately for the quaternary aquifer， basalt aquifer， and other bedrock aquifer， respectively. Finally， suggestions on the exploitation of groundwater resources and crop cultivation were put forward based on the analysis of hydrochemical characteristics.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 6","pages":"3415-3428"},"PeriodicalIF":0.0,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Predicting Multidimensional Carbon Emissions in Jiangsu Province Based on the BP Neural Network].","authors":"Yan Zheng, Zhao-Ze Xia, Yu-Jie Xiao, Jie Wang, Wei Yu","doi":"10.13227/j.hjkx.202405179","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405179","url":null,"abstract":"<p><p>Under the \"dual carbon\" goal， promoting energy conservation and emission reduction is the key to high-quality economic development. Through innovative analysis， we aim to analyze and predict the influencing factors of carbon emissions in Jiangsu Province from multiple dimensions and provide targeted strategies to reduce carbon emissions. Based on the STRIPAT extended model and LMDI model， we construct an index system of influencing factors of carbon emissions in Jiangsu Province and analyze the impact of different indicators on carbon emissions from multiple dimensions. Using ridge regression and factor analysis methods， we obtain the correlation and contribution rate between carbon emissions and various indicators and predict the carbon emissions in Jiangsu Province using the BP neural network algorithm. The results showed that the ranking of the influencing factors of carbon emissions in Jiangsu Province was： energy consumption， GDP， population， proportion of added value of the tertiary industry， energy consumption structure， proportion of added value of the secondary industry， and proportion of added value of the primary industry. Among them， the proportion of added value of the primary industry and the proportion of added value of the secondary industry had a restraining effect on the growth of carbon emissions， while the remaining factors had a promoting effect. At the same time， according to the prediction results， Jiangsu Province should adjust its industrial and energy structure between 2025 and 2035， increasing the proportion of non-fossil energy to 30%， reducing unit CO₂ emissions by 28.6%， and achieving carbon peak. Around 2050， increasing the proportion of non-fossil energy to 50% and reducing unit energy consumption by 46.1% will lead to a rapid decline in CO₂ emissions. Eventually， around 2060， the proportion of non-fossil energy will exceed 80%， unit energy consumption will decrease by 54.6%， and CO₂ emissions will decrease by 77.9%， achieving carbon neutrality.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 6","pages":"3485-3495"},"PeriodicalIF":0.0,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Evolution of Urban Expansion Pattern and Its Impact on the Quality of the Ecological Environment in the Beijing-Tianjin-Hebei Urban Agglomeration].","authors":"Fu-Guo Chen, Ai-Qing Guo, Ai-Bin Wu, Yu-Tong Wang, Jie Fan","doi":"10.13227/j.hjkx.202409036","DOIUrl":"https://doi.org/10.13227/j.hjkx.202409036","url":null,"abstract":"&lt;p&gt;&lt;p&gt;Clarifying the impacts of urban land expansion on changes in the quality of the ecological environment in the Beijing-Tianjin-Hebei （BTH） urban agglomeration is of great significance for the high-quality development of the BTH urban agglomeration and the construction of ecological civilization. The urban expansion rate， urban expansion intensity， and landscape pattern index were introduced to analyze the urban expansion pattern of the BTH urban agglomeration from 2000 to 2020， the integrated remote sensing eco-environment index （IRSEI） was constructed based on the Google Earth Engine （GEE） platform to evaluate the regional eco-environmental change status， and the impact of the evolution of urban expansion pattern on the change of eco-environmental quality was investigated using a geographically and temporally weighted regression model （GTWR）. The study produced several interesting results： ① The overall expansion rate of urban land in the BTH urban agglomeration from 2000 to 2020 was 217.22 km&lt;sup&gt;2&lt;/sup&gt;·a&lt;sup&gt;-1&lt;/sup&gt;， and the expansion rate from 2000 to 2010 was faster than the rate from 2010 to 2020. Among regions， the urban expansion rate was slower in the northwestern mountains and higher in the southeastern plains. The overall expansion intensity of the BTH urban agglomeration during the study period was 6.14%. Areas with high-speed expansion， rapid expansion， and medium-speed expansion were mainly concentrated in the southeastern plains， and areas with low-speed expansion and slow expansion were mainly located in the northwestern part of the study area. During the study period， the number of urban agglomerations in BTH， the density of patches， and the landscape shape index showed increasing trends， the maximum patch index showed a decreasing trend， and the fragmentation of urban land was increasing. ② During the period from 2000 to 2020， the IRSEI of the BTH urban agglomeration as a whole showed an upward trend. In 2020， the IRSEI had increased by 6.13% compared with the early stage of the study， and the ecological environment quality of the Yanshan Mountain area in the north and the Taihang Mountain area in the west was higher， while that of the Bashang Plateau area and the southeastern plains area was poorer. During the study period， the ecological environment quality decreased mainly in the peripheral area along the Bohai Sea and the Southeast Plain area， especially in and around the urban centers， while the ecological environment quality increased mainly in the western Taihang Mountain area and the northern Yanshan Mountain area. ③ The degree of influence of urban expansion on the changes of ecological environment quality revealed obvious spatial differentiation， and the regression coefficient of landscape shape index was negative in most counties and regions， which is the main reason for the changes of ecological environment quality. Urban expansion has mainly negative impacts on the ecological environment quality in the region","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 6","pages":"3708-3719"},"PeriodicalIF":0.0,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Impact of China's Environmental Regulations on CO₂ Emissions in the Power Sector].","authors":"Ya-Li Zheng, Wei Shi, Wei-Juan Wang, Ping Wang","doi":"10.13227/j.hjkx.202404110","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404110","url":null,"abstract":"<p><p>CO₂ emissions from the power sector are the main source of CO₂ emissions in China， and environmental regulation plays an irreplaceable role as a basic constraint for reducing carbon emissions. Based on China's provincial panel data from 2003-2019， this study analyzes the spatio-temporal characteristics of different types of environmental regulatory intensity and CO₂ emissions from the power sector by using kernel density estimation and standard deviation ellipses. Then， the geographically and temporally weighted regression model is constructed to explore the impacts of command-based， market-based， and voluntary environmental regulations on CO₂ emissions in the power industry. The results showed the following： ① For different types of environmental regulation： in time， the market-based environmental regulation kernel density curves showed a \"rightward\" motion， with interregional differences expanding， while command-based and voluntary environmental regulation showed a shrinking interregional difference； in space， command-based environmental regulation gradually followed a northwest-southeast spatial distribution pattern. Market-based and voluntary environmental regulation all showed a northeast-southwest spatial distribution pattern. ② For CO₂ emissions from the power sector： in time， kernel density curves showed a \"rightward\" motion， with inter-regional differences expanding； in space， there was a gradual pattern of northwest-southeast spatial distribution pattern， and the center of gravity was moving to the northwest. ③ The impact of different types of environmental regulations on CO₂ emissions in the power sector had obvious spatial and temporal heterogeneity. In time， the regression coefficient of command-based environmental regulation in most provinces （cities， autonomous regions） had an increasing and subsequently declining trend， while market-based and voluntary environmental regulation decreased first and then increased. In space， spatial heterogeneity in the role of the three types of environmental regulation was evident； command-based environmental regulation gradually had a greater impact on the northern provinces （facilitation）， market-based environmental regulation had a greater impact on the central-eastern provinces （facilitation）， and voluntary environmental regulation had a greater impact on the eastern provinces （disincentive）.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 6","pages":"3496-3508"},"PeriodicalIF":0.0,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}