环境科学最新文献

{"title":"[Spatiotemporal Evolution Patterns of Grassland Degradation and Its Driving Factors on the Loess Plateau].","authors":"Xiao Bai, Qian-Xiang Huang, Dan Tian, Xiao-Xu Jia, Li-Xiao Yang, Ming-An Shao, Peng-Fei Li, Jin-Fei Hu","doi":"10.13227/j.hjkx.202403075","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403075","url":null,"abstract":"<p><p>The vegetation restoration strategies on the Loess Plateau are progressively orienting towards natural regeneration, utilizing grasslands for ecological recovery. However, there is a dearth of precise, in-depth quantification of the long-term spatio-temporal patterns and driving factors of grassland degradation in this area. This study, based on AVHRR and MODIS NDVI data, employs Google Earth Engine （GEE）, grassland degradation indices, and spatio-temporal analysis to examine the vegetation cover and degradation patterns of the Loess Plateau's grasslands from 1986 to 2021. The study reveals the influence of meteorological elements on grassland degradation, with specific findings as follows： ① Grasslands exhibited moderate degradation on the Loess Plateau, with a degradation area of 17.4×10⁴ km² （43.8% of the total grassland area） before 2000, characterized by a degradation index of 2.25. Post-2000, the degraded area reduced to 15.3×10⁴ km² （38.4% of the total）, with a degradation index of 2.06. ② Significant spatial heterogeneity in grassland degradation was observed, with pre-vegetation recovery （1986-2000） showing minimal overall change in the degradation index, with non-significant increases in the southeast and west （38% of the area） and decreases in the central and northwest （34% of the area）. Post-vegetation recovery （2001-2021）, the regional grassland degradation index showed an overall decrease and a constant trend （85% of the area）, especially in the eastern and southern parts of the region, while it showed an insignificant increase trend in the Mu Us region. ③ Meteorological elements, notably precipitation and relative humidity, were identified as the primary drivers of grassland degradation, accounting for 80% of the variance, with precipitation and relative humidity contributing 45.8% and 21.7%, respectively. These results provide a data-supported framework for evaluating the spatio-temporal evolution of the Loess Plateau's grassland ecosystem and inform scientific approaches to sustainable vegetation management in the region.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 4","pages":"2363-2372"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144015468","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":"[Research Progress on the Effect of Biochar Addition on Soil Microorganisms in Cultived Land].","authors":"Yan Bai, Xiao-Fen Su, Xin Gu, Yu Zhang, Jia-Ni Yang, Xin-Pu Wang","doi":"10.13227/j.hjkx.202403042","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403042","url":null,"abstract":"<p><p>Biochar is a carbon-rich product derived from the pyrolysis of fibrous biomass. It has attracted considerate attention because of its functions, such as improving soil fertility, achieving soil carbon sequestration, and adsorbing soil pollutants. Soil microorganisms are the main components of the soil life system in cultivated land, playing an important role in soil structure, nutrition, ecological balance, and plant health. Soil microorganisms are involved in the complex relationship between biochar addition and cultivated soil and plants. Therefore, the direct effects of biochar on soil microorganisms and indirect effects on soil properties, plant root growth, and metabolic status were investigated. Biochar could directly provide habitat and nutrients for soil microorganisms, alter enzymatic activity, and affect signal communication. Polycyclic aromatic hydrocarbons （PAHs） and other substances in biochar were not conducive to the survival and metabolism of soil microorganisms. Biochar could indirectly affect soil microorganisms by improving soil physical and chemical properties, such as porosity, pH, aggregate structure, and bulk density, stimulating plant growth, changing secretion status, and enrichment of harmful substances. The observed effects of biochar on the metabolic activities and community structure of soil microorganisms in cultivated land were complex, related to the properties of biochar raw materials, processing technology, and application rate. We proposed biochar products with low preparation cost, few potential hazards, and high comprehensive benefits and prospected future research directions, providing a basis for the study of biochar regulation in cultivated land soil.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 4","pages":"2600-2610"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144013090","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":"[Regional Transport Carbon Emission Forecasting and Peak Carbon Pathway Planning in China].","authors":"Yong-Chao Song, Qin Shu, Cheng-Rong Jin, Shao-Peng Zheng, Liang Luo","doi":"10.13227/j.hjkx.202403152","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403152","url":null,"abstract":"<p><p>Reduction in regional traffic emission is crucial for achieving overall emission reduction and low-carbon development in the transportation sector. To assist China's transportation sector in early realizing of its carbon peak and carbon neutrality goals, panel data from 30 provinces （municipalities, autonomous regions） of China from 2000 to 2021 were utilized. Various machine learning regression algorithms were employed to construct a predictive model for regional transportation carbon emissions, among which the model combining the Lasso regression and support vector machine algorithms performed the best. Taking the transportation sector in Guangdong, Shanghai, Shandong, and Sichuan as examples, three future development scenarios-baseline, energy-saving emission reduction, and technology-driven emission reduction-were set. The predictive model （Lasso_SVM） was used to forecast the carbon emissions from transport sector in these provinces from 2022 to 2035. The results indicated that under the baseline, energy-saving emission reduction, and technology-driven emission reduction scenarios, the earliest peak times for carbon emissions from transport sector in Guangdong, Shanghai, Shandong, and Sichuan were the years 2029, 2028, 2030, and 2029, respectively, with peak values of 73.59, 52.16, 55.08, and 33.46 Mt, respectively. Finally, based on the carbon emission forecasts under different scenarios for the four provinces, scientifically feasible emission reduction pathways were formulated to provide technical support for advancing the carbon peak achievement in China's transport sector.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 4","pages":"1995-2008"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143988263","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":"[Temporal and Spatial Distribution and Risk Assessment of Microplastics in Multiple Media of an Urban River].","authors":"Mu-Fan Gan, Yan Zhang, Yuan-Yuan Lu, Ming-Chang Guan, Jing-Lu Che, Chao Wang","doi":"10.13227/j.hjkx.202405064","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405064","url":null,"abstract":"<p><p>The increasingly serious pollution of microplastics （MPs） in urban rivers has attracted global attention. At present, there is a lack of research on the spatiotemporal distribution of microplastics in inland rivers. In order to understand the spatiotemporal dynamic characteristics of microplastics in urban rivers, water and sediment samples were collected from the Guanzhong section of the Weihe River Basin during the wet and dry seasons. The abundance, morphological characteristics, and polymer types of microplastics in the sediment were systematically studied using multiple density flotation extraction and spectral analysis methods to clarify the spatiotemporal distribution and migration characteristics of microplastics in the watershed. The results showed that the variation range of microplastics in river water was 1.02-10.32 items·L^-1, and the variation range of microplastics in sediment was 220.30-2 840.40 items·kg^-1. Both surface water and sediment showed significantly higher abundance during the dry season than during the wet season （<i>P</i>&lt;0.05）. The particle size of microplastics was mainly small particles with sizes of &lt;0.1 mm and 0.5-1 mm, and fibers were the main shape of microplastics in the sediments. Polyethylene （PE） and polypropylene （PP） were the main types of microplastics. The overall pollution risk was mild pollution. The results of this study can provide some reference for the scientific understanding of microplastic pollution in urban rivers and the formulation of plastic control measures.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 4","pages":"2218-2231"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144036898","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":"[Construction and Optimization of Ecological Security Pattern in Chifeng Based on \"Supply-Demand Balance-Sensitivity-Connectivity\"].","authors":"Qiang Fan, Shu-Qi Sui, Jin-Ning Zhang","doi":"10.13227/j.hjkx.202403214","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403214","url":null,"abstract":"<p><p>The construction of an ecological security pattern is crucial for promoting the sustainable development of regional ecosystems. Ecological sources form the basis of ecological security pattern construction, and their identification and extraction play an important role in the development of ecological corridors and nodes. The relationship between society and ecosystem has been ignored in the identification of ecological source areas, and the rapid development of cities requires sufficient ecological source areas. Therefore, taking Chifeng as the research area, the initial ecological source area was identified based on the \"ecosystem service supply-demand relationship-ecological sensitivity-landscape connectivity\" framework, and the optimal diffusion distance of the source area was determined according to the proportion of ecological land to optimize the ecological source area. Land development probability was used to modify the resistance surface, and circuit theory was employed to identify ecological corridors and nodes, thus constructing an ecological security pattern. The results showed that： ① The spatial matching degree of ecosystem service supply and demand in Chifeng was low, showing a spatial pattern of high supply-low demand in the north and southwest and low supply-high demand in the middle and southeast. ② After optimization, the ecological source area expanded to 3 210.56 km²,mainly located in the forest and water areas in the northwest and southwest corners of the study area. A total of 84 ecological corridors and 33 ecological nodes were obtained from the optimized source area, which improved the connectivity of the ecological network. ③ Combined with the distribution characteristics of natural conditions and ecological factors in the study area, the ecological security pattern of \"one ecological barrier, three ecological areas, multiple corridors, multiple points\" was proposed, and ecological restoration was carried out according to local conditions in different regions. This study provides a new approach for the construction of ecological security patterns and offers scientific guidance for ecological sustainable development.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 4","pages":"2450-2462"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144002038","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":"[Spatio-temporal Characteristics and Influencing Factors of Carbon Sinks at the County Level in the Yancheng City].","authors":"Jian-Bao Li, Cai-Li Zhang, Hong-Mei Chen, Xiao-Feng Zhao, Ying Li, Pei-Zhen Wang","doi":"10.13227/j.hjkx.202404023","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404023","url":null,"abstract":"<p><p>The spatio-temporal characteristics of carbon sinks in the Yancheng City from 1990 to 2020 were investigated using kernel density, trend analysis, and standard deviation ellipse, and a multi-scale geographically weighted regression was constructed to analyze the main factors influencing carbon sinks. The results showed that： ① The carbon sinks generally exhibited an increasing trend. The absolute difference in carbon sinks showed an overall fluctuating upward trend, consistent with the relative difference. An imbalance in carbon sinks was observed among different counties, and it showed an increasing trend. ② From 1990 to 2020, the high value areas of carbon sinks were mainly distributed in the coastal areas of Yancheng, and the spatial pattern of carbon sinks was stable. The spatial distribution characteristic was low in the west and north and high in the east and south. The center of the standard deviation ellipse of the carbon sinks followed a 10-year cycle and shifted considerably over this period. ③ The results of the multi-scale geographically weighted regression model showed that the proportion of secondary industry, per capita gross domestic product, population density, and land use intensity had different effects on carbon sinks. The secondary industry had the strongest negative effect on carbon sinks, making it crucial to reduce its proportion to enhance carbon sinks.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 4","pages":"1985-1994"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144002040","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":"[Temporal and Spatial Evolution and Prediction of Carbon Storage in the Haixi Prefecture of Qinghai Province Based on PLUS-InVEST Model].","authors":"Hong-Kui Yang, Le-le Zhang, Xiao-Yang Liu, Ming-Xin Yang, You-San Li","doi":"10.13227/j.hjkx.202404294","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404294","url":null,"abstract":"<p><p>The change of land use type seriously affects the spatial distribution pattern of regional carbon stocks. Exploring the land use status under future scenarios can provide an important reference for the spatial optimization of land use structure, carbon budget balance, and sustainable development in inland arid areas. Based on the land use types of the Haixi Prefecture in 2000, 2010, and 2020, the characteristics of land use change in the study area over 20 years were analyzed. The PLUS-InVEST model combined with 13 driving factors was used to simulate and predict the temporal and spatial distribution characteristics of land use and carbon storage under natural development, ecological protection, and urban development scenarios in 2030. The results showed that： ① From 2000 to 2020, the main land types in the Haixi Prefecture were grassland and unused land； the area of grassland continued to decrease, mainly transferred to unused and construction land, whereas the area of other land types showed an increasing trend. ② Compared with that in 2020, under the natural development scenario in 2030, the area of forest land will decrease by 204.86 km², indicating a decrease of 24.18%, and the area of grassland will decrease by 4 167.02 km². Under the ecological protection scenario, the area of forest land and grassland will increase by 55.47 km² and 929.41 km², respectively. Under the urban development scenario, the construction land area will be 672.84 km², indicating an increase of 17.34%. ③ From 2000 to 2020, the total carbon storage decreased by 162.04×10⁶ t, showing a continuous downward trend. High carbon storage values were distributed in the eastern and southern parts of the study area, while low carbon storage values were mainly distributed in the Qaidam Basin and its periphery. ④ In 2030, carbon storage under the ecological protection scenario will increase by 84.78×10⁶ t and 86.16×10⁶ t compared with that under the natural and urban development scenarios, respectively, indicating that ecological protection can effectively increase carbon storage in the study area. These findings provide data support for rational land use planning and coordinated regional development in the Haixi Prefecture.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 4","pages":"1951-1963"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144042037","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":"[Carbon Emission and Scenario Prediction of Water System in Zhejiang Based on the Whole Life Cycle of Water Resources].","authors":"Hua Zhu, Qing Zhang, Li-Gang Xu","doi":"10.13227/j.hjkx.202404095","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404095","url":null,"abstract":"<p><p>Clarifying the \"water-energy-carbon\" nexus process and variation in the carbon emissions of a water system throughout the lifecycle of water resources is crucial for regional water resource management, energy-efficient utilization, and low-carbon development. This study introduces a comprehensive analytical framework for assessing carbon emissions across the entire lifecycle of water resources, grounded in the \"water-energy-carbon\" nexus. Utilizing statistical data from 2011 to 2021, the research analyzed the dynamic changes in carbon emissions in the water system in Zhejiang. Additionally, the STIRPAT model was employed to forecast carbon emissions from 2022 to 2040. The results showed that： ① The carbon emissions of the water system in Zhejiang mainly exhibited an \"upward-downward-upward\" trend, with an increase of 2.687 7 million tons in 2011-2012 and 4.888 4 million tons in 2020-2021, respectively, and a decrease of 11.371 6 million tons from 2012 to 2020. ② The carbon emissions of the water system in Zhejiang accounted for more than 95%, which had a decisive impact on the total change in the carbon emissions of the water system. ③ Urbanization rate was a key driving factor for changes in carbon emissions across various water system sectors, while population primarily affected carbon emissions from industrial and residential domestic water use. ④ The carbon emissions from the water system were at the lowest level under the low-carbon scenario and at the highest level under the extensive or coarse development scenario. Residential and public facility water consumption will be the main source of carbon emissions in the water system in the Zhejiang Province. Therefore, while controlling population growth and promoting urbanization, carrying out water-saving and emission reduction measures, including improving water use efficiency, optimizing the structure of water use, and reducing carbon emission intensity are necessary to effectively promote carbon reduction in the water system.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 4","pages":"2057-2068"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040102","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":"[Influence Mechanism of \"Production-Living-Ecological\" Spatial Evolution on Carbon Sequestration and Emission in the Shiyang River Basin].","authors":"Zi-Yang Wang, Xue-Bin Zhang, Xue-Hong Li","doi":"10.13227/j.hjkx.202404132","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404132","url":null,"abstract":"<p><p>\"Production-Living-Ecological\" spatial linkage carbon reduction is an important starting point to realize the \"carbon peaking and carbon neutrality\" strategy. Exploring the influence mechanism of \"Production-Living-Ecological\" spatial evolution on carbon sequestration and emission is an important foundation to promote regional carbon neutrality and sustainable development. This study undertook the Shiyang River Basin as the research area. It aimed to identify the production, living, and ecological space on the basis of analyzing the evolutionary characteristics of land use pattern and analyze the \"Production-Living-Ecological\" spatial evolution characteristics and spatial and temporal evolutionary characteristics of carbon sequestration and emission by using related model methods. Furthermore, it discussed the influence mechanism of \"Production-Living-Ecological\" spatial evolution on carbon sequestration and emission by means of a geographically weighted regression model. The results showed that the area of the unused land in the Shiyang River Basin changed the most from 2000 to 2020, with a decrease of 531.5 km². During the study period, the dynamic attitude of construction land changed the most, which was closely related to the rapid urbanization and construction of various developmental zones and ecological resettlement areas. From 2000 to 2020, the transformation of ecological structure of production and life in the Shiyang River Basin was mainly characterized by the mutual transformation of production and ecological space, followed by the mutual transformation of production and living space. During the study period, the carbon sequestration in the Shiyang River Basin was at a low level but showed a slow and gradual increasing trend, whereas the overall spatial distribution pattern was gradually decreasing from Qilian Mountain in the southwest to the northeast. The carbon emissions of the Shiyang River Basin showed a significant increasing trend, whereas the overall spatial distribution pattern was \"low in the north and south and high in the middle.\" A significant correlation was observed between the spatial evolution of production, life, and ecology and that of carbon sequestration and emission in the Shiyang River Basin from 2000 to 2020. These results provide scientific basis for optimizing the spatial structure of land and formulating the regional \"double carbon\" development plan.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 4","pages":"2047-2056"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144044103","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":"[Risk Assessment of Soil Heavy Metal Sources in the Lower Reaches of the Jinling River Based on PMF Model and Geodetector].","authors":"Yu-Ru Li, Wei-Jie Duan, Jia-Zhen Dong, Jun Zhang","doi":"10.13227/j.hjkx.202404001","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404001","url":null,"abstract":"<p><p>To understand the pollution characteristics and sources of heavy metals in the soil of the lower reaches of the Jinling River, 41 samples of surface soil in the lower reaches of the Jinling River were collected, and the contents of eight heavy metals （Cr, Mn, Ni, Cu, Zn, As, Cd, and Pb） were determined by high-precision X-ray fluorescence spectrometer （HDXRF）. Correlation analysis and positive matrix factorization model （PMF） were used to analyze the sources of heavy metals in the soil. The potential ecological risk assessment model based on source was used to analyze the potential ecological risk under different pollution sources, and the influencing factors of ecological risk of each pollution source were analyzed by means of geographical detector. The results showed that： ① The average values of eight heavy metal elements in soil were lower than the risk screening values of soil pollution but higher than the soil background values of Shaanxi Province. The spatial variability of Zn, Cd, and Pb was large, which was mainly affected by human activities. ② The heavy metals in the soil of the study area were mainly from industrial sources, traffic sources, natural sources, and agricultural-industrial mixed sources, and the contribution rates of each pollution source were 16.51%, 23.68%, 51.08%, and 8.73%, respectively. Based on the source-based potential ecological risk assessment, the potential ecological risk index （RI） of industrial sources, traffic sources, natural sources, and agricultural-industrial mixed sources were 34.11, 85.03, 16.76, and 21.19, respectively. Cd was the priority control element, and traffic sources were the priority control sources. ③ The distance from key enterprises, the distance from highway, sand content, and land use type were the main influencing factors of the industrial source, traffic source, natural source, and agricultural-industrial mixed sources, respectively. The results of this study can provide scientific basis for environmental management and pollution control of heavy metals in soil.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 4","pages":"2512-2524"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144019874","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}