工业工程最新文献

{"title":"[Evaluation of Ecological Quality in the Chengdu-Chongqing Economic Circle Based on Human Footprint].","authors":"Yue Chang, Deng-Feng Wei, Hui Yang, Ting-Gang Zhou","doi":"10.13227/j.hjkx.202407079","DOIUrl":"10.13227/j.hjkx.202407079","url":null,"abstract":"<p><p>As an important economic center in western China, the rapid urbanization and economic development of the Chengdu-Chongqing economic circle needs to be coordinated with ecological environmental protection. In this study, we utilized remote sensing technology and multi-source data, leveraging the Google earth engine platform to construct the human remote sensing ecological index （HRSEI）, which included indicators of greenness, wetness, dryness, heat, and the human footprint. This index was used to assess the ecological quality of the Chengdu-Chongqing economic circle from 2013 to 2022. The results showed that during this period, the intensity of human activities in the region increased significantly, exerting a profound impact on ecological quality. The spatial distribution of ecological changes exhibited a core-periphery pattern, centered on Chengdu and Chongqing, radiating along major transportation corridors. Ecological quality demonstrated complex trends amidst rapid urbanization and economic growth. Among them, the largest area of ecological degradation involved transitions from \"good\" to \"fair,\" accounting for 22.8%, followed by a change from \"excellent\" to \"good\" （7.3%） and a change from \"fair\" to \"poor\" （3.6%）. The deterioration of \"poor\" and \"very poor\" ecological quality was mainly concentrated around the core city and its transportation network, while \"good\" and \"excellent\" areas had improved their ecological quality. The ecological improvement and restoration of the \"good\" and \"excellent\" areas were closely linked to the implementation of regional environmental protection policies. Geo-detector analysis further revealed that the interactions between natural factors （such as elevation and temperature） and human activities （such as land use） had an important influence on the dynamic changes of ecological quality in the Chengdu-Chongqing economic circle. This study provides a scientific basis for future coordinated regional development and ecological environmental protection.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5169-5179"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856579","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 Process on the Removal Characteristics and Ecological Response of Constructed Wetlands to Microplastics/Nanoplastics].","authors":"Zi-Heng Ding, Chong Cao, Lei Chen, Juan Huan","doi":"10.13227/j.hjkx.202406192","DOIUrl":"10.13227/j.hjkx.202406192","url":null,"abstract":"<p><p>As an emerging pollutant, microplastics/nanoplastics （MPs/NPs） come from various sources, are widely distributed, and significantly affect the ecological environment safety and human health. Constructed Wetlands （CWs）, as an economical, efficient and widely used ecological treatment technology, can effectively remove various pollutants through plant-substrate-microorganism synergies, providing a feasible way for ecological restoration of MPs/NPs. At present, more and more studies have begun to focus on the migration and ecological effects of MPs/NPs in constructed wetlands. Therefore, this paper systematically summarized the latest research results and literature, focusing on the occurrence status and ecological effects of MPs/NPs in constructed wetland, including removal mechanism, ecological response of constructed wetland and operation characteristics. The removal characteristics, mechanism, and ecological effects of MPs/NPs in constructed wetlands were discussed in detail, and relevant conclusions were drawn. The constructed wetland can effectively remove MPs/NPs, with removal rates of over 90%, which are mainly trapped and degraded by plants, substrate, and microorganisms. However, MPs/NPs may also interfere with the normal functioning of constructed wetland, significantly affecting the activity of plants and microorganisms, and small-size NPs has higher toxic stress effects than MPs.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5283-5294"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856612","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 Semi-arid Region of Western Heilongjiang Province].","authors":"Zhao-Yang Jia, Qiang Fu, Song Cui","doi":"10.13227/j.hjkx.202408195","DOIUrl":"https://doi.org/10.13227/j.hjkx.202408195","url":null,"abstract":"&lt;p&gt;&lt;p&gt;Constructing an ecological security pattern is a crucial measure for safeguarding biodiversity and upholding ecosystem services. Current research on the construction of ecological security patterns often focuses on natural reserves or specific land-use types as ecological sources, while overlooking the connectivity and stability of potential ecosystem services. In light of this, this study proposes a method for extracting ecological sources based on ecosystem services and morphological spatial pattern analysis （MSPA） in the semi-arid region of western Heilongjiang Province. A resistance surface was created by considering both the natural environment and human activities in the study area, and subsequently, circuit theory was employed to determine the ecological security pattern. Furthermore, complex network theory was utilized to identify an optimized ecological network security. The findings revealed the following： ① Spatial heterogeneity in ecosystem services within the region was significant. The areas with high-level ecosystem services in 2000, 2010, and 2020 were 78 716 km&lt;sup&gt;2&lt;/sup&gt;, 84 267 km&lt;sup&gt;2&lt;/sup&gt;, and 82 849 km&lt;sup&gt;2&lt;/sup&gt;, respectively, accounting for 50.21%, 53.75%, and 52.85% of the total area, respectively. ② Landscape fragmentation of ecological sources was pronounced, with ecological sources covering over 23% of the study area. The central region exhibited higher resistance values while the eastern forest area showed lower resistance values. The average resistance values of ecological resistance surfaces for the years 2000, 2010, and 2020 were recorded as being at levels of approximately 2.15, 2.07, and 2.17, respectively. ③ Ecological corridors demonstrated notable spatial heterogeneity. The augmentation of potential ecological corridors could significantly enhance stability and connectivity within the ecological network. Based on complex theory, the optimization process for ecological corridor planning resulted in a proposed optimized pattern termed \"One Belt, Two Zones, Multiple Islands, and One Center\" for achieving an enhanced level of ecological security. The study offers novel insights into the restoration and enhancement of the regional ecological environment and spatial layout, providing scientific evidence for promoting sustainable development in the provincial ecosystem. By integrating ecosystem services evaluation with MSPA and complex network theory, this approach emphasizes the importance of considering both natural environmental factors and anthropogenic influences when constructing a resilient ecological network. The findings underscore the imperative to enhance landscape connectivity and stability to ensure long-term ecological sustainability. The proposed ecological security pattern aims to strike a balance between ecological protection and regional development, guaranteeing the maintenance and improvement of ecological functions across western Heilongjiang Province's semi-arid region. This research c","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5180-5195"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856574","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 and Sources of Heavy Metals in the Sediments of Tributaries of the Yangtze River in the Nanjing Section].","authors":"Qiao-Yi Jin, Yi-Ping Li, Hong-Zhe Pan, Jun Liu, Song Bai, Ming-Ming Zhao, Jing Hu, Xin-Miao Xie, Wan-Ting Zheng, Chen Yu","doi":"10.13227/j.hjkx.202407169","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407169","url":null,"abstract":"<p><p>The heavy metal pollution in the sediments of tributaries directly affects the water quality of the Yangtze River. To investigate the distribution characteristics and pollution sources of heavy metals in the sediments of the incoming rivers in typical cities of the lower Yangtze River, the Nanjing section of the Yangtze River was selected as the study area. Sediment samples were collected from 16 monitoring points, and the monitoring data for As, Hg, Cr, Pb, Cd, Cu, and Zn were statistically analyzed. The potential ecological risk index method and the geo-accumulation index method were used to comprehensively evaluate the heavy metals in the sediments of the incoming rivers. Pearson correlation analysis and positive matrix factorization （PMF） were employed to analyze the sources of heavy metals in the sediments. The results indicated that the average values of seven heavy metals in the sediments of the incoming rivers were generally higher than those in the Yangtze River sediments, with all heavy metal coefficients of variation in the incoming river sediments exceeding 40%, indicating strong spatial heterogeneity. The primary heavy metal in the incoming river sediments in the Nanjing section of the Yangtze River was Cd, and the accumulation level and potential ecological risk of heavy metals in the Shitou River sediments were significantly higher than those in other incoming rivers. From upstream to downstream in the Nanjing section of the Yangtze River, the potential ecological risk index gradually increased, showing a spatial distribution characteristic of \"lower upstream, higher downstream.\" When <i>P</i> &lt; 0.01, Pearson correlation analysis indicated significant positive correlations among multiple heavy metals, suggesting that they may share common pollution sources. The results of the positive matrix factorization method （PMF） indicated that the main pollution sources of the incoming rivers included industrial pollution （26%）, agricultural pollution （29.7%）, and transportation （29.5%）, with the remaining 14.8% attributed to natural sources.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5059-5069"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856598","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":"[Ecological Vulnerability Assessment and Driving Factor Analysis in the Middle Section of Yellow River Basin Based on SRP Model].","authors":"Yan Zhang, Lan-Xin Su","doi":"10.13227/j.hjkx.202407129","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407129","url":null,"abstract":"<p><p>The sustainable development of regional economy is seriously affected by the ecological environment, and assessing ecological vulnerability is a crucial step for implementing ecological management and rehabilitation. With the support of multi-source data, the middle section of Yellow River Basin, a typical ecologically sensitive area, was selected as the research area, and 13 indicators including terrain, meteorology, surface, soil, vegetation, biological abundance, population density, and GDP were selected to construct an SRP model evaluation index system according to its ecological background characteristics. Based on the global Moran's <i>I</i> index and LISA cluster map, this study analyzes the characteristics of time and spatial evolution of ecological sensitivity in the middle sections of the Yellow River in 2000, 2010, and 2020 and uses geographic detectors to detect the driving factors. The results showed that： ① The ecological environment in the middle section of the Yellow River Basin was dominated by severe vulnerability and moderate vulnerability, accounting for more than 50%, and showed a \"northwest high, southeast low\" spatial distribution pattern. The comprehensive index of ecological vulnerability from 2000 to 2020 was 2.84, 2.79, and 2.58, which showed a stable and decreasing trend in the level of ecological vulnerability. ②Ecological vulnerability had obvious spatial aggregation characteristics. The high aggregation areas were mainly distributed in the extremely vulnerable areas and the severely vulnerable areas with relatively intense population activities, while the low aggregation areas were mainly concentrated in the general vulnerable areas with good ecological conditions. ③ The key factors influencing the spatial evolution of ecological vulnerability in the middle section of Yellow River Basin included vegetation coverage, net primary productivity of vegetation, air temperature, biological abundance, and GDP, and the <i>q</i> values of each driving factor increased to varying degrees after interaction. The research results provide a reference for the conservancy and management of the ecological environment in the middle section of the Yellow River Basin.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5134-5144"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856601","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":"[Analysis of Ecosystem Health and Its Influencing Factors in the Middle Reaches of the Yellow River].","authors":"Kui-Ming Li, Xiao-Yan Wang, Ting-Ting Li, Yan-Dong Tang","doi":"10.13227/j.hjkx.202408034","DOIUrl":"10.13227/j.hjkx.202408034","url":null,"abstract":"<p><p>Clarifying the health of regional ecosystems and their drivers is crucial in promoting sustainable development. Based on the \"organizational strength-vitality-elasticity-service （VORS）\" framework, the ecosystem health level of counties in the middle reaches of the Yellow River in 2000, 2010, and 2020 was evaluated, and the main driving factors affecting the ecosystem health level were further identified by using the geographically weighted regression （GWR） model. The results showed that the ecosystem health level in the middle reaches of the Yellow River was gradually improved from 2000 to 2020, mainly driven by ecosystem vitality and ecosystem services, and the spatial difference of the overall level of ecosystem health in the middle reaches of the Yellow River was significant. The overall level of ecosystem health was spatially aggregated and showed an upward trend. During the study period, the spatial pattern of ecosystem health value in the middle reaches of the Yellow River changed greatly. Among them, the spatial pattern of ecosystem health value in the middle reaches of the Yellow River was basically stable from 2000 to 2010, and the pattern changed greatly from 2010 to 2020. Slope, NDVI, GDP per area, and human impact index were the main driving factors of ecosystem health in the middle reaches of the Yellow River and showed different driving characteristics. Clarifying the ecosystem health status and its influencing factors in the middle reaches of the Yellow River can provide a theoretical reference for promoting ecological protection and high-quality development in the Yellow River Basin.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5145-5155"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856566","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":"[Effect of Polyethylene Microplastics on Physiological Property and Vanadium Accumulation of Maize （<i>Zea mays</i> L.） Seedlings Under Vanadium Stress].","authors":"Jing-Jing Zhang, Dong-Xia Yang, Bu-Nan Jia, Pei-Yi Yu, Li-Na Fan, Jia Song, Dang-Ling Hua, Xue-Hai Zhang, Hai-Tao Liu","doi":"10.13227/j.hjkx.202407274","DOIUrl":"10.13227/j.hjkx.202407274","url":null,"abstract":"<p><p>This study sought to elucidate the impact of polyethylene microplastics （PE） applied externally on the physiological traits, antioxidant activity, and vanadium （V） accumulation in maize （<i>Zea mays</i> L.） seedlings subjected to V stress. The maize variety used for this work was MY73, and V-stress was induced by cultivating seedlings in a soil culture setup with 150 mg·kg^-1 of V incorporated into each pot. The findings revealed that V-stress at 150 mg·kg^-1 considerably reduced chlorophyll levels, photosynthetic rates, and the biomass accumulation in maize seedlings. Furthermore, V-stress led to a decline in soluble protein content, an increase in MDA levels, and heightened cell membrane lipid peroxidation, along with augmented activities of antioxidant enzymes, including superoxide dismutase （SOD） and peroxidase （POD）. Exogenous polyethylene microplastics could promote the accumulation of soil organic matter and reduce the content of available V in the soil but had no obvious effect on soil pH value. It also decreased the V content in the aboveground and underground parts of maize by 3.89%-61.78% and 7.11%-18.04% and reduced V accumulation in maize seedling roots by 25.90%-46.29%. While exogenous PE reduced the MDA content in roots and aboveground parts of maize by 6.76%-35.11% and 5.85%-24.30%, it increased the soluble protein contents in roots and shoots by 8.21%-18.19% and 8.74%-19.20%, respectively. Compared with V stress alone, POD content in maize roots and shoots increased by 79.31% and 41.01%, respectively, and SOD content in maize shoots increased by 6.18% under the 0.1% PE treatment. Overall, exogenous PE could give rise to enhanced photosynthesis and augmented activities of antioxidant enzymes and decreased the content and accumulation of V in maize （<i>Z. mays</i> L.） seedlings, which may alleviate cell membrane lipid peroxidation. Additionally, the mitigation effect was best under the 0.1% PE treatment. All of these results can lay a certain data foundation for the study of the interaction effect between microplastics and heavy metals in the soil-plant system.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5336-5344"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856603","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":"[Land Use Scenario Simulation and Habitat Quality Change in Pinglu River Economic Belt Based on PLUS-InVEST Model].","authors":"Shao-Qiang Wen, Bao-Qing Hu, Wei-Wei Xie, Chun-Lian Gao","doi":"10.13227/j.hjkx.202407166","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407166","url":null,"abstract":"<p><p>Exploring the spatiotemporal characteristics of habitat quality and its influencing factors in the Pinglu Canal Economic Belt is crucial for promoting the high-quality and sustainable development of this region. Based on five periods of land use data from 2000 to 2020, the PLUS model was used to predict the land use change pattern of the Pinglu Canal Economic Zone for 2030 under three scenarios： natural development （NDS）, ecological protection （EPS）, and planning for the Pinglu Canal （PS）. The InVEST model and geodetector were then coupled to explore the spatiotemporal evolution characteristics and influencing factors of habitat quality from 2000 to 2030. The results showed that： ① The predominant land use types in the Pinglu Canal Economic Belt were forest land and arable land. Between the years 2000 and 2020, a discernible trend of continuous expansion in the area of construction land and a corresponding decline in the area of other land uses was observed. Projections for different scenarios in 2030 indicated that the land changes in the NDS scenario aligned with the historical development pattern. In contrast, the EPS scenario significantly constrained the expansion of construction land, while the PS scenario exhibited varying degrees of growth in construction land, water, and forest land. In the PS scenario, a notable increase was observed in the area of construction land, water, and forest land. In the PS scenario, the area of built-up land, water, and forest land all demonstrated varying degrees of increase. ② From 2000 to 2020, the area of high and high-grade habitat quality accounted for 57% of the total area. The area of serious and slight decrease in habitat quality was concentrated in the urban area and showed a trend of the degradation of habitat quality that was predicted to continue year on year in the NDS scenario because of the expansion of built-up land. In contrast, the EPS scenario was expected to result in a significant improvement in habitat quality, as a consequence of the protection of ecological land. By 2030, the NDS scenario will continue to degrade habitat quality due to the continuous increase of construction land, whereas the EPS scenario will greatly improve habitat quality because of the effective protection of ecological land, resulting in a positive trend of change. ③ Slope was the primary factor influencing the spatial variation of habitat quality and interacted significantly with other factors. Therefore, in the future planning and construction of the Pinglu Canal, it is essential to exercise restraint in the incremental amount of construction land, maintain ecological land with high habitat quality, and avoid over-development of areas.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5122-5133"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856546","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":"[Characteristics of Spatial and Temporal Variations of Multi-year Vegetation Cover in Different Climatic Zones of China and Their Topographic Effects].","authors":"Fan Fu, De-Xuan Zhao, Bei-Er Zhang, Zhu-Mo Zhu, Hai-Yue Lu, Can-Can Yang, Ming-Wei Zhao","doi":"10.13227/j.hjkx.202407184","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407184","url":null,"abstract":"<p><p>Exploring the spatial and temporal dynamics of vegetation cover in different regions of China and its topographic effect is crucial for maintaining the ecological environment and preventing soil erosion. Based on the MODIS NDVI data from 2000 to 2023, the vegetation cover of China for 24 years was calculated by using the pixel binary model. The spatial and temporal trends of vegetation cover in different regions of China and the influence of topographic factors on the spatial distribution of vegetation cover were investigated by dividing the study area into seven typical climate zones. The results showed that： ① From 2000 to 2023, the vegetation cover in China showed a fluctuating upward trend, with a growth rate of 0.207%·a^-1 and a basic pattern of \"low in the northwest, high in the southeast, and spatially differentiated in the central part of the country.\" The proportion of areas with improved vegetation cover over the years was 46.7%, with a risk of continuous degradation in local areas. ② With the increase in altitude, the trend of vegetation cover changes in various climatic zones was not the same. With the increase in slope, the vegetation cover of the climatic zones showed a fluctuating upward trend, and the proportion of vegetation cover of different slope direction was relatively stable. ③ The vegetation cover in the same climatic zone had a significant difference in the response to the topographic factors, and the experiment showed that topographic factors had a significant influence on the vegetation cover. The experiment showed that the influence of terrain factors on vegetation cover was as follows： elevation &gt; slope &gt; slope direction. The study of the spatial differentiation of vegetation and the driving law of topography in typical climatic zones can provide scientific basis for the improvement of China's ecological environment.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5206-5216"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856569","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":"[Prediction of Heavy Metal Concentrations in PM_2.5 in the Agricultural Area of Yangtze River Delta Region Based on Machine Learning].","authors":"Hong-Yan Zhang, Hao Jin, Ying-Ping Mo, Hai-Ou Zhang, Chao Pan, Jian-Ling Fan","doi":"10.13227/j.hjkx.202407111","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407111","url":null,"abstract":"<p><p>Heavy metals in PM_2.5 can considerably impact air quality, human health, and the ecological environment. However, studies on heavy metals in PM_2.5 in agricultural areas are relatively limited. In this study, observational data on heavy metal concentrations in PM_2.5 in the Yangtze River Delta Region from 2000 to 2020 were collected. Three machine learning-based prediction models for heavy metal concentrations in PM_2.5 were constructed to predict and analyze the regional pollution characteristics of six heavy metal elements （Pb, Cu, As, Cd, Zn, and Ti） in PM_2.5 in agricultural areas of the Yangtze River Delta. The results showed that none of the three machine learning models, random forest （RF）, support vector machine （SVM）, or gradient boosting machine （GBM）, exhibited good prediction performance when individually predicting the concentrations of heavy metal elements in PM_2.5 （<i>R</i>² &lt; 0.66 in nearly half of the models）. However, the performance improved significantly after integrating the three models with weighted averaging （<i>R</i>² &gt; 0.66 in all models）, which achieved quantitative prediction capabilities for the concentrations of the six metal elements （RPD &gt; 1.4）. The prediction results for the concentrations of heavy metals in PM_2.5 in agricultural areas of the Yangtze River Delta revealed that the average mass concentrations （ng·m^-3） of the six heavy metal elements were in the order of Zn &gt; Pb &gt; Cu/Ti &gt; As &gt; Cd, but significant differences were observed in their spatial-temporal distributions. The concentrations of Pb, Cd, As, and Zn in PM_2.5 decreased from 2015 to 2017, while the concentrations of Cu and Ti did not show significant temporal changes. Spatially, the concentrations of Pb, Cu, and Ti in PM_2.5 were higher in the northern areas of the Yangtze River Delta Region but lower in the south. The concentrations of As and Cd were higher in the mountainous areas of northern Anhui and western Zhejiang, while Zn concentrations were relatively high across all agricultural areas. These results provide an effective method for predicting regional heavy metal concentrations in atmospheric particulate matter and offer a reference basis for understanding the characteristics of atmospheric particulate matter pollution and regional pollution reduction efforts in agricultural areas of the Yangtze River Delta.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5013-5022"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856609","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}