工业工程最新文献

{"title":"[Impact of Climate Change and Human Activities on Net Primary Productivity of Vegetation in the Yunnan-Guizhou Plateau].","authors":"Yi-Fei Zhang, Jun-Ling Zhang","doi":"10.13227/j.hjkx.202407164","DOIUrl":"10.13227/j.hjkx.202407164","url":null,"abstract":"<p><p>Vegetation net primary productivity （NPP） is a key indicator for assessing the carbon budget of terrestrial ecosystems. Studying the impact of climate change and human activities on vegetation NPP is critical for a deeper understanding of carbon cycling mechanisms and promoting sustainable economic development. Based on MOD17A3 NPP data, meteorological data, and land use data, this study explores the spatiotemporal variation characteristics of NPP across different geological backgrounds and vegetation types in the Yunnan-Guizhou Plateau from 2001 to 2020, using the Theil-Sen Median slope estimator and Mann-Kendall significance test. An improved residual analysis method is employed to investigate the relative contributions of climate change and human activities to vegetation NPP in the Yunnan-Guizhou Plateau. The results indicated the following： From 2001 to 2020, the NPP of vegetation in the Yunnan-Guizhou Plateau showed an increasing trend at a rate of 3.39 g·（m²·a）^-1. The multi-year average NPP of vegetation in non-karst areas was 901.42 g·（m²·a）^-1, which was higher than the 837.83 g·（m²·a）^-1 in karst areas. However, the growth rate of vegetation NPP in non-karst areas was 2.56 g·（m²·a）^-1, which was lower than the 3.69 g·（m²·a）^-1 in karst areas. Among different types of vegetation, herbaceous vegetation had the highest multi-year average NPP at 900.26 g·（m²·a）^-1, with a relatively high growth rate of 3.6 g·（m²·a）^-1. Arbor vegetation had a higher multi-year average NPP of 864.54 g·（m²·a）^-1 but the lowest growth rate at only 2.69 g·（m²·a）^-1. Economic vegetation had a lower multi-year average NPP of 809.24 g·（m²·a）^-1 but a higher growth rate of 3.96 g·（m²·a）^-1. Precipitation contributed positively to vegetation NPP in the Yunnan-Guizhou Plateau, with a positive contribution rate of 68.16%, while temperature had a positive contribution rate of 74.5%. Precipitation significantly promoted vegetation growth in the central and eastern regions of the Yunnan-Guizhou Plateau but had a suppressive effect on vegetation in the western regions. From 2001 to 2020, climate change contributed 77.09% to the changes in vegetation NPP in the Yunnan-Guizhou Plateau, which was higher than the 22.91% contribution from human activities. Human activities had a positive contribution rate of 70.76% to vegetation NPP in karst areas, higher than the 60.96% in non-karst areas. Human activities had a larger positive contribution rate to herbaceous vegetation NPP at 73.02% and to shrub vegetation at 71.92%. The findings provide a theoretical basis for formulating tailored ecological restoration and management strategies for the Yunnan-Guizhou Plateau.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5217-5228"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856582","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":"[Occurrence Characteristics, Bioaccumulation, and Ecological Risk of PFASs in Rivers Receiving Different Effluents].","authors":"Si-Yuan Yang, Jian-Chao Liu, Guang-Hua Lu, Jun Hou","doi":"10.13227/j.hjkx.202406018","DOIUrl":"10.13227/j.hjkx.202406018","url":null,"abstract":"<p><p>Perfluorinated and polyfluoroalkyl substances （PFASs） are a type of persistent organic pollutants, which are widely used in leather anti-fouling treatment and fire extinguishing materials and threaten ecological security by entering environmental media in many ways. In this study, the occurrence characteristics of PFASs in river water and fish were investigated and their environmental risks were evaluated in five different types of rivers receiving different effluent. The results showed that PFASs were widely present in the receiving rivers, and the total concentration of PFASs ranged from 37.44 ng·L^-1 to 167.37 ng·L^-1. Urban comprehensive tail water and airport rainwater were the main pollution sources of PFASs, while short-chain PFASs were the main pollution types, with a pollution contribution rate of 58.7%. The accumulation potential of PFASs in carnivorous fish （<i>Carassius auratus</i>）was the highest, with a concentration of 136.87 ng·g^-1, which was 1.5 times higher than that of yellow catfish （<i>Tachysurus fulvidraco</i>） and 9.6 times higher than that of loach （<i>Misgurnus anguillicaudatus</i>）. The brain and liver were the main accumulation organs of PFASs, with contents of 217.49 ng·g^-1 and 166.8 ng·g^-1, followed by the muscle, gill, and intestine. Hexafluoropropylene oxide dimeric acid （GenX） and perfluorooctane sulfonate （PFOS） had a high bioaccumulation risk, and the average bioaccumulation potential （lgBAF） was 4.14 L·kg^-1 and 3.91 L·kg^-1, respectively. PFASs showed a low-to-medium mixed risk （RQ &lt; 0.080）. Perfluorooctanoic acid （PFOA） was the most important risk contributor, with a contribution rate of 75.31%, while fish consumption had a low risk to human health.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5082-5091"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856605","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":"[Progress on the Migration Mechanism and Toxic Effects of Nanoplastics in Terrestrial Plants].","authors":"Xiao-Fei Liu, Yu Zhang, Dong Liang, Qi-Qi Fan, Jiang Yu, Na Zhang","doi":"10.13227/j.hjkx.202406083","DOIUrl":"10.13227/j.hjkx.202406083","url":null,"abstract":"<p><p>Nanoplastics are widely distributed in soil as an emerging environmental contaminant. Recently, the effects of nanoplastics on terrestrial plants have gained significant attention. The mechanisms through which terrestrial plants absorb and transport nanoplastics include surface adsorption, intercellular transport, cleavage uptake, and stomatal uptake. Accumulation of nanoplastics in plants leads to growth retardation, inhibition of photosynthesis, and oxidative damage. At the molecular level, nanoplastics affect plant transcriptomics, metabolomics, and proteomics. The uptake, transport, and adverse effects of nanoplastics in terrestrial plants is a complex process influenced by factors like nanoplastic particle size, surface charge, and physical-chemical properties. We aim to summarize the progress in research on nanoplastics and terrestrial plant interactions and provide future research directions based on existing knowledge gaps.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5295-5302"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856611","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 Location-oriented Developmental Policies on Carbon Emission Efficiency from the Perspective of Industrial Structure Upgradation].","authors":"Zhi-Qiang Bian","doi":"10.13227/j.hjkx.202407285","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407285","url":null,"abstract":"<p><p>Based on panel data from 282 prefecture-level and above cities from 2006 to 2020 and using the super efficiency SBM model with unexpected output to measure carbon emission efficiency, this study explores the impact and dynamic performance of location-oriented developmental policies represented by the \"National Resource-based City Sustainable Development Plan （2013-2020）\" （referred to as the \"Plan\"） on carbon emission efficiency using a double difference model. The internal mechanism of the Plan is revealed from the perspective of industrial structure upgrading, and the heterogeneity effect of the Plan is examined. The results showed that： ① The Plan could significantly improve the carbon emission efficiency of resource-based cities by approximately 0.043 units, and this conclusion remained robust after being tested by methods such as PSM-DID. However, from the perspective of dynamic effects, a certain degree of time delay was observed in the above effects, and they exhibited a dynamic change characteristic of being strong first and then weak. ② Mechanism testing found that promoting the supererogation, rationalization, and ecologicalization of the industrial structure of resource-based cities is an inherent mechanism for the Plan to improve carbon emission efficiency. ③ Heterogeneity analysis showed that the improvement effect of the Plan on carbon emission efficiency of resource-based cities in the eastern region was significantly greater than that in the central and western regions, and this positive effect was only significant in mature, declining, and regenerative cities. Furthermore, the existence of the mechanism for upgrading the industrial structure is an important source of the aforementioned differences. The research conclusions can provide certain policy insights for resource-based cities to improve carbon emission efficiency, assist in achieving China's dual carbon goals, and promote low-carbon transformation and development.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"4778-4791"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856543","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":"[Inverse Modeling of PM_2.5 Mass Concentration Using a Particle Swarm Optimization XGBoost Model].","authors":"Qian Liu, Zhao-Ru Wang, Han-Li Xu, Wei-Hai Lian, You-Liang Chen","doi":"10.13227/j.hjkx.202407279","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407279","url":null,"abstract":"<p><p>As a major source of air pollution, PM_2.5 poses a serious threat to human health, and the study of PM_2.5 concentration estimation methods helps to identify pollution sources, optimize air quality management measures, and effectively improve the quality of the urban environment. To obtain the spatial distribution of PM_2.5 mass concentration over a large range and improve the accuracy of PM_2.5 estimation, a model of particle swarm optimized XGBoost （PSO-XGB） was proposed, and a particle swarm optimization algorithm （PSO） was introduced to optimize the parameters of XGBoost. By integrating the aerosol optical depth product （AOD） from the moderate resolution imaging spectroradiometer （MODIS） and meteorological data, the PSO-XGB-based PM_2.5 mass concentration inversion model was constructed, followed by inversion of the national PM_2.5 mass concentration data in 2022 by year and season, and the PSO-XGB model performance was evaluated using the ten-fold cross-validation method. Finally, the national PM_2.5 mass concentration data of seven years and only one year were used to input into the model for training, respectively, to analyze the effect of the amount of data on model performance. The results showed that the PSO-XGB model was able to effectively invert PM_2.5 mass concentration, and the overall <i>R</i>² reached more than 0.9, of which the best inversion effect was 0.98 in winter, 0.96 in autumn, 0.90 in summer, and 0.89 in spring. Simultaneously, the comparative analysis showed that the amount of data had no effect on the inversion performance of the optimization model, while dividing the data into appropriate chunks by time series, or dividing seasons, could more accurately assess the stability and applicability of the performance of the model.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5023-5034"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856544","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":"[Occurrence Characteristics and Ecological Risk Assessment of Microplastic Pollution in the Yellow River Basin].","authors":"Zheng Yang, Meng-Yuan Li, Zheng-Yun Deng, Xin Gui, Li Ma, Fa-Wen Zhang","doi":"10.13227/j.hjkx.202406206","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406206","url":null,"abstract":"<p><p>The Yellow River, as the \"mother river\" of China, urgently needs research and analysis on the MPs pollution status and ecological risks in the Yellow River Basin. The aim of the study was to explore the spatial distribution and composition characteristics of MPs in the Yellow River Basin, establish a comprehensive investigation and evaluation system for MPs at the watershed scale, and based on a two-dimensional risk assessment matrix, evaluate the absolute ecological risk of MPs at each sampling point within the watershed. The results showed that the abundance range of MPs in the study area was （0.49-350 280.00）×10³ items·m^-3, with an average abundance of （31 050.00±7 740.00）×10³ items·m^-3. In terms of spatial distribution, the abundance of tributaries in the middle reaches of the Yellow River was higher than that of the main stream, and the Yellow River estuary was the area with the highest detected abundance. The size of MPs in the watershed was concentrated between 0-1 000 μm, with fibers and fragments as the main shapes and colored and transparent as the main colors. The risk index range of the two-dimensional risk assessment matrix was 3-20 levels, with 77.78% of the area classified as high-risk. The Liujiaxia Reservoir is a water source area that requires special attention.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5316-5324"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856549","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 Lock-in Status and Unlocking Pathways of Urban Construction Industry at the City Scale in China].","authors":"Lin-Yi Kuai, Min An, Meng-Fei Song, Hui An","doi":"10.13227/j.hjkx.202407014","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407014","url":null,"abstract":"<p><p>China is at a crucial turning point in advancing green and low-carbon development. The construction industry, being a major contributor to energy consumption and carbon emissions, presents a significant challenge in the form of carbon lock-in. This issue requires thorough investigation to identify effective strategies for overcoming it. This study leverages panel data from 272 Chinese cities, covering the period from 2011 to 2020, to explore the phenomenon of carbon lock-in within urban construction. By examining various dimensions-technological, economic, institutional, and social-the research identifies the primary drivers of carbon emissions and suggests pathways to mitigate carbon lock-in in cities that have not yet achieved substantial reductions. The study's findings are as follows： ① Carbon emissions from urban construction in China surged from 17,030 million tons to 69,603 million tons over the study period, reflecting a fourfold increase. This trend was characterized by a \"east high, west low\" distribution pattern, indicating a significant regional disparity. ② The phenomenon of carbon lock-in across cities showed initial fluctuations but generally increased over time. Its spatial distribution shifted from being concentrated in northern and central regions to becoming more dispersed across the entire country. ③ Technological, institutional, and economic factors were identified as the primary drivers of carbon emissions in the urban construction sector in China, all exhibiting a positive impact. Based on the key driver indicators, a detailed analysis of \"technological,\" \"institutional,\" and \"economic\" carbon unlocking pathways was conducted for 209 Chinese cities requiring intervention between 2011 and 2020. The aim is to assist local governments in crafting tailored low-carbon development strategies that reflect the unique carbon lock-in levels and driving forces of each city. This approach supports the exploration of sustainable development pathways and helps in achieving dual carbon goals by addressing the specific challenges and opportunities present in different regions.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"4803-4812"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856568","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":"[Functional Zoning of Carbon Balance and Carbon Offset in Dongting Lake Basin].","authors":"Yu Han, Ling Yang, Wen-Qiang Zhou, Jin-Long Wang, Ya-Li Wen, Yi-Wen Li","doi":"10.13227/j.hjkx.202407145","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407145","url":null,"abstract":"<p><p>Accounting for carbon revenues and expenditures and determining functional zoning for carbon compensation are crucial for achieving regional low-carbon development and advancing the \"dual-carbon\" strategy. This study focuses on 200 county units in the Dongting Lake Basin, systematically evaluating the basin's carbon income and expenditure, and proposes strategies for functional zoning of carbon compensation. The findings are as follows： ① Over the past 20 years, carbon emissions in the Dongting Lake Basin have shown an overall upward trend, increasing from 132 million tons in 2000 to 499 million tons in 2020, while carbon absorption has remained relatively stable at around 200 million tons. Spatially, carbon emissions in the Dongting Lake Basin exhibited a distinct \"higher in the east, lower in the west\" distribution pattern, whereas carbon absorption aligned closely with the terrain's opening towards the north. ② The overall trend of carbon pressure in the Dongting Lake Basin has been increasing, indicating a growing risk of carbon imbalance. The spatial distribution of carbon pressure showed a pattern of \"high in the east, low in the west, high in the north, and low in the south.\" Further comparison between the center of gravity of carbon pressure and the center of gravity of the economy revealed that their spatial locations were very close, yet their trajectories diverged latitudinally, indicating a spatial coupling relationship between carbon pressure and regional economic development, as well as a degree of differentiation. ③ Over the past 20 years, the low-carbon development zones and high-carbon source optimization zones in the Dongting Lake Basin have been shrinking, while the carbon sink functional zones and carbon source control zones have been expanding. This indicates a weakening of the ecological function of carbon sinks in the Dongting Lake Basin. Analysis of the transfer direction revealed that carbon function zoning mainly followed the paths of \"low-carbon development zone → carbon sink functional area\" and \"high-carbon optimization area → carbon source control area,\" while carbon compensation zoning showed a trend of shifting from compensation areas to payment areas. In the future, a differentiated low-carbon development strategy should be implemented, and a cross-county （district） carbon compensation system should be established to promote synergistic regional ecological and environmental governance and high-quality development.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"4888-4899"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856581","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 and Temporal Heterogeneity of Road Transportation Carbon Emissions in Urban Agglomerations of Fujian Province].","authors":"Da-Wei Weng, Zheng-Yi Xie, Xiao-Juan Wen, Yi-Nuo Xu, Xi-Sheng Hu, Lan-Yi Zhang","doi":"10.13227/j.hjkx.202408058","DOIUrl":"https://doi.org/10.13227/j.hjkx.202408058","url":null,"abstract":"<p><p>In the context of urbanization and regional development differences in China, transportation carbon emissions in different cities show spatiotemporal heterogeneity. Although previous studies have primarily focused on carbon emissions from road transportation, research specifically examining the southeast coastal urban agglomerations in China, particularly Fujian Province, is lacking. Thus, this study selected Fujian Province as the research object and revealed the temporal and spatial distribution characteristics of carbon emissions in the urban agglomeration of Fujian Province based on the standard deviation ellipse （SDE）. Furthermore, the geographically and temporally weighted regression model （GTWR） and geographical detector were employed to examine the interaction and spatiotemporal heterogeneity of five driving factors, namely urbanization rate （UR）, infrastructure rate （IR）, passenger volume （PV）, freight volume （FV）, and per capita GDP （APGDP）, on road traffic carbon emissions in cities within Fujian Province. The results show that the road transportation carbon emissions in Fujian urban agglomeration have continued to grow over the past 20 years, with an average annual growth rate of 10.355%, and the spatial distribution of carbon emissions showed a significant \"northeast-southwest\" trend. Secondly, the carbon emissions focus during the research period was consistently located in Quanzhou City, Fujian Province, and the direction of carbon emissions showed a counterclockwise trend, continuously shifting towards the \"northeast-southwest\" direction. Furthermore, the spatiotemporal heterogeneity results of single driving factors indicated that APGDP played a predominantly positive role in driving road traffic carbon emissions in urban agglomerations, while UR, IR, PV, and FV had inhibitory or promoting effects within different cities. Lastly, the interaction results of dual driving factors from geographical detectors revealed that IR∩UR, IR∩PV, IR∩FV, and IR∩APGDP had the greatest contribution to the spatiotemporal heterogeneity of road traffic carbon emissions in Fujian Province's urban agglomerations. This study provides a new perspective for understanding differences in transportation-related carbon emissions among urban agglomerations and is significant for promoting low-carbon transformation in regional transportation.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"4826-4838"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856617","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":"[Synergistic Effect of Agricultural Pollution and Carbon Reduction and Their Driving Factors in Henan Province].","authors":"Hang-Hang Fan, Xiao-Lei Jie, Ling Li, Xing-Ming Li, Yong Wu, Dong-Hao Li, Jian-Wei Liu","doi":"10.13227/j.hjkx.202407209","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407209","url":null,"abstract":"<p><p>In the context of the \"dual-carbon\" goal and shaping of new advantages in green agricultural development, empirical references and policy recommendations are provided for agricultural agglomeration regions, mainly in grain-producing areas such as Henan Province, to explore the green, low-carbon transformation and high-quality sustainable development of agriculture. Based on the coupled coordination model, the GTWR model was used to explore the influence mechanism and spatiotemporal heterogeneity of the two synergies and their drivers, with a view to promoting the green, low-carbon and sustainable development of agriculture in Henan Province by taking pollution reduction and carbon reduction as a common goal. The results showed that： Between 2010 and 2022, agricultural carbon emissions and agricultural surface pollution emissions in Henan Province showed a slow increase, followed by a slow decline and a gradual stabilization trend, with obvious spatial and temporal heterogeneity. Between 2010 and 2022, the synergistic degree of agricultural carbon emissions and agricultural surface pollution in Henan Province had a trend of slow decrease and weakening of the polarization phenomenon, and the synergistic degree of differentiation in various regions decreased. The level of agricultural concentration and the degree of scale of cultivated land showed a negative regulatory effect, the urbanization rate showed a positive regulatory effect, and the positive and negative effects were distributed. The level of agricultural agglomeration and the degree of scale of arable land showed a negative regulatory effect； the urbanization rate showed a positive regulatory effect； the agricultural industry structure, crop planting structure, and effective irrigation rate of the regulatory effect of the spatial difference was obvious； and the positive and negative impacts were distributed. For the grain growing regions in Henan Province, a more positive driving effect was observed. In addition, the negative value of the regression coefficient of financial support for agriculture was concentrated in the central part of Henan Province, which had a significant negative driving effect on agricultural pollution reduction and carbon reduction in the central part of Henan Province. Agricultural carbon emissions and agricultural surface pollution in Henan Province had a high degree of synergy and strong spatial heterogeneity, and the regional differences in the impact of the driving factors on the synergistic effect were obvious. Thus, we should carry out the reuse of waste resources, strengthen agricultural technological innovation, and formulate differentiated pollution reduction and carbon reduction policies according to the local conditions, so as to promote the green and high-quality development of agriculture and to help achieve the \"dual-carbon\" goal.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"4864-4875"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856635","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}