环境科学最新文献

{"title":"[Analysis of the Spatial Network Structural Characteristics of Land Use Carbon Emission Efficiency in Urban Agglomerations in the Yellow River Basin].","authors":"Chang Lu, Qin-Lin Guo, Zhi-Yu Wang, Jian Shang, Feng Zhang, Yu-Lei Gong","doi":"10.13227/j.hjkx.202505210","DOIUrl":"https://doi.org/10.13227/j.hjkx.202505210","url":null,"abstract":"<p><p>Under the national strategy for ecological conservation and high-quality development in the Yellow River Basin， this study investigates the spatial correlation patterns and formation mechanisms of land use carbon emission efficiency in urban agglomerations. Utilizing the super-efficiency SBM model with undesirable outputs and social network analysis， we examine the structural characteristics of the carbon emission efficiency network and identify core cities within the network. The key findings are as follows： ①During the study period， land use carbon emission efficiency in the Yellow River Basin urban agglomerations significantly improved， with spatial disparities gradually widening. High-efficiency zones concentrated in the eastern and central regions. ②Spatial correlations among urban agglomerations notably strengthened， with the Guanzhong Plain Urban Agglomeration， Shandong Peninsula Urban Agglomeration， Jiziwan Metropolitan Area， and Central Plains Urban Agglomeration demonstrating significant spatial spillover effects. ③The overall network exhibited stable and balanced characteristics. Analysis of individual network features revealed substantially enhanced centrality in cities such as Qingdao， Dongying， and Zhengzhou， establishing them as key network nodes. ④Urban agglomerations were categorized into four functional plates： net spillover， main beneficiary， broker， and net beneficiary. ⑤Geographical distance， economic development level， mean temperature， carbon emission intensity， and construction land exerted significant impacts on the spatial correlation of land use carbon emission efficiency.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 8","pages":"5140-5153"},"PeriodicalIF":0.0,"publicationDate":"2026-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148866970","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":"[Soil Microbial Community Characteristics in Alpine Meadows of Typical Yellow River Source Watershed and Their Influence on Soil Aggregate Stability].","authors":"Yu-Fang Zhang, Xi-Lai Li, Jing Zhang, Yu-Ying Bao, Yi-Zhi Zhou, Yu Chai, Null Danzhengzhuoma, Yu-Lan Han, Rui Ma, Hai-Hong An","doi":"10.13227/j.hjkx.202504025","DOIUrl":"https://doi.org/10.13227/j.hjkx.202504025","url":null,"abstract":"<p><p>Microorganisms are key factors involved in soil aggregate formation； however， research analyzing soil aggregate stability from the perspective of microbial functional prediction remains limited. Therefore， this study selected alpine meadows along the upper， middle， and lower reaches of a typical watershed in the Yellow River source region as the research subject. By analyzing soil physicochemical properties and microbial community composition and combining Fungal FUNGuild prediction with Bacterial BugBase phenotype prediction， it aims to reveal the spatial variations in soil aggregate stability within the watershed unit and identify their driving factors. ① The stability of soil aggregates was upstream&gt;downstream&gt;midstream. ② There were significant differences in the community structure of soil bacteria and fungi upstream， midstream， and downstream （<i>P</i>&lt;0.05）， and the dominant bacterial species were Actinobacteriota， Proteobacteria， Acidobacteriota， Ascomycota， and Basidiomycota， and there was no significant difference in the relative abundance of Mortierellomycota in the upstream， midstream， and downstream （<i>P</i>&lt;0.05）. ③ The aerobic and gram positive phenotypes were the two most predominant bacterial groups in the soil. The average relative abundance of aerobic bacterial communities was higher in upstream regions compared to that in the midstream and downstream areas， while the relative abundance of anaerobic communities was lower in upstream regions than that in the midstream and downstream. Bacterial phenotypic functions showed no significant impact on soil aggregate stability（<i>P&gt;</i>0.05）. Saprotrophs constituted the dominant functional group of soil fungi， with the relative abundance of wood saprotrophic fungi in upstream soils being significantly higher than that in midstream and downstream soils. ④ In the watershed unit， the soil fungal community regulated the stability of soil aggregates by affecting the composition of fungal functional groups.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 8","pages":"5809-5820"},"PeriodicalIF":0.0,"publicationDate":"2026-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148866990","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":"[Spatiotemporal Coupling Between New-type Urbanization and Carbon Emission Intensity in the Yangtze River Economic Belt： Evidence from an XGBoost-SHAP Framework].","authors":"Shao-Jie Zhang, Can Zhou, Tie-Qiao Xiao, Ming-Bo Ji","doi":"10.13227/j.hjkx.202507233","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507233","url":null,"abstract":"<p><p>As global climate change intensifies， carbon emissions increasingly constrain sustainable development. To investigate the coordinated relationship between new urbanization and carbon emissions in the Yangtze River Economic Belt， this study examines 108 cities within the region from 2010 to 2022. The entropy-weighted TOPSIS method and downscaling models were employed to measure new urbanization levels and carbon emission intensity， while an adjusted coupling coordination model analyzed their spatiotemporal coupling evolution. Furthermore， the XGBoost-SHAP model was introduced to investigate key factors influencing coupling coordination and their non-linear mechanisms. The results show： ① New-type urbanization and carbon-emission intensity exhibited marked spatial and temporal variation with a clear negative association； performance ranked as downstream &gt; midstream &gt; upstream. ② Coupling-coordination improved overall， yet regional disparities and internal polarization persisted. The spatial pattern shifted from an initial \"high-east/low-west\" distribution to a \"multi-core\" configuration， with downstream cores consolidating their advantage. ③ Mechanisms were non-linear and region-specific： Population density and income level contributed most to coordination， whereas industrial structure and government expenditure displayed threshold effects that differed across regions. On this basis， we propose region-differentiated policy recommendations to provide actionable pathways and decision support for green， high-quality development across the Belt.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 8","pages":"5154-5167"},"PeriodicalIF":0.0,"publicationDate":"2026-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148867151","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 Prediction of Construction Industry in Western China Based on Combination Model and Multi-scenario Simulation].","authors":"Xin-Sheng Zhang, Da-Wen Nie, Zhang-Zheng Chen, Jia Su, Hui-Yun Wu","doi":"10.13227/j.hjkx.202506347","DOIUrl":"https://doi.org/10.13227/j.hjkx.202506347","url":null,"abstract":"<p><p>The objective of this study is to scientifically assess the evolution pattern of carbon emissions in the construction industry in China's western region， identify key driving factors， and construct a carbon emission prediction system through model optimization， providing a decision-making basis for balancing economic growth and the \"dual carbon\" goals. Based on the IPCC carbon emission coefficient method， the carbon emissions of the construction industry in the western region from 2003 to 2022 were calculated. A prediction framework was constructed by integrating LASSO-XGBoost-RFE feature selection and SPBO-BP optimization models， and five scenarios were simulated to explore the peak path. The research shows that： ① The carbon emissions of the construction industry in the western region exhibited a phased characteristic of \"rise-fluctuation-stability，\" with indirect carbon emissions accounting for 93.9%. ② Urbanization rate， energy intensity of the construction industry， fixed asset investment， completed floor area of construction industry buildings， and added value of the secondary industry were key influencing factors. ③ Compared with other benchmark models， the prediction performance of the target model was significantly improved， with <i>R</i>² reaching 0.959 7. ④ The very low-carbon， low-carbon， and benchmark scenarios were predicted to peak in 2028 （612 million tons）， 2029 （650 million tons）， and 2030 （704 million tons）， respectively， while the high-carbon and very high-carbon scenarios would peak in 2039 （867 million tons） and 2040 （1265 million tons）. The research results can provide important theoretical support and technical references for the low-carbon development of the construction industry in China's western region.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 8","pages":"5193-5206"},"PeriodicalIF":0.0,"publicationDate":"2026-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148867157","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 Industrial Land Expansion on the Synergy of Pollution and Emission Reduction and Its Spatial Spillover Effects：A Case Study of Seven Major City Agglomerations in China].","authors":"Na-Na Wang, Bo-Lun Zhang, Wei-Wei Zheng, Pei-Xue Xing, Talehaer Kurmanbek","doi":"10.13227/j.hjkx.202505336","DOIUrl":"https://doi.org/10.13227/j.hjkx.202505336","url":null,"abstract":"<p><p>The contradiction between industrialization and ecological environmental protection constitutes a major challenge in advancing the synergy of pollution and carbon emission reduction. As an area with a high concentration of socio-economic activities， urban agglomerations explore the impact of industrial land expansion in different urban agglomerations on the synergy of pollution and carbon emission reduction， which provides a reference for improving the land use efficiency of urban agglomerations and formulating strategies for pollution and carbon emission reduction. Using panel data for 130 prefecture-level cities across seven Chinese urban agglomerations from 2008 to 2022， this study employs geographically and temporally weighted regression （GTWR） and spatial lag models （SLM） to analyze spatiotemporal impacts and spatial spillover effects. The results indicated： ① Industrial land expansion followed fluctuating \"increase-decrease-reincrease\" trends. The Yangtze River Delta urban agglomeration exhibited the largest expansion， while the Beibu Gulf urban agglomeration showed the smallest. ② The overall level of synergy in pollution reduction and carbon emission reduction across urban agglomerations presented an upward trend. Before 2017， the coordination in most urban agglomerations was predominantly negative； after 2017， urban agglomerations gradually moved towards positive synergy in pollution and carbon emission reduction. ③ The negative impact of industrial land expansion on the synergy of pollution and carbon emission reduction gradually weakened. The inhibitory effect was the strongest in the Beijing-Tianjin-Hebei urban agglomeration， while it was the weakest in the Pearl River Delta and Beibu Gulf urban agglomerations. ④ There was a significant negative spatial spillover effect of the impact of industrial land expansion on the synergy of pollution and carbon emission reduction， and the spatial spillover effect was more obvious in the urban agglomerations with a higher degree of industrial land expansion. Therefore， the inhibitory role of industrial land expansion on the synergy of pollution and carbon emission reduction should be given due attention， and targeted recommendations should be formulated to advance coordinated pollution reduction and carbon mitigation in urban agglomerations.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 8","pages":"5250-5261"},"PeriodicalIF":0.0,"publicationDate":"2026-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148867179","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 and Mechanism of Rural Digital Economy Development on Agricultural Low-carbon Transformation].","authors":"Mei-Fang Liu, Xue-Ping Hu","doi":"10.13227/j.hjkx.202506235","DOIUrl":"https://doi.org/10.13227/j.hjkx.202506235","url":null,"abstract":"<p><p>As a vital support for rural revitalization and low-carbon development strategies， the role of rural digital economy development in promoting agricultural low-carbon transformation has become increasingly prominent. Based on panel data from 30 provinces in China during 2010-2023， this study constructs a two-way fixed effects model to systematically evaluate the impact of rural digital economy development on agricultural low-carbon transformation. Furthermore， it explores the underlying mechanisms from the perspectives of mediation effects， threshold effects， and regional heterogeneity. The results show that： ① Rural digital economy development significantly promoted agricultural low-carbon transformation， and this conclusion remained robust across various tests. ② Mechanism analysis revealed that rural digital economy development advanced agricultural low-carbon transformation primarily by enhancing regional economic development. ③ Threshold effect tests indicated that the promotive impact of rural digital economy development became stronger with higher levels of rural human capital， while the effect failed to be effectively triggered under weak government environmental governance. ④ Regional heterogeneity analysis revealed significant disparities in the impact of rural digital economy development on agricultural low-carbon transformation across the two sides of the \"Hu Huanyong Line.\"</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 8","pages":"5355-5365"},"PeriodicalIF":0.0,"publicationDate":"2026-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148867250","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 New Quality Productive Forces on Carbon Emissions in Yangtze River Delta Cities].","authors":"Pan-Pan Wang, Yan-Wei Wang, Fei-Wu Ren, Yi Huang","doi":"10.13227/j.hjkx.202504011","DOIUrl":"https://doi.org/10.13227/j.hjkx.202504011","url":null,"abstract":"<p><p>New quality productive forces serve as a crucial driver for achieving the dual carbon goals， while optimization of energy consumption structure and industrial structure rationalization are key pathways toward these goals. This study utilizes panel data from 41 prefecture-level cities in the Yangtze River Delta urban agglomeration spanning from 2012 to 2022 and employs the entropy weight method to measure the level of new-quality productive forces. A two-way fixed effects model is adopted to examine the impact and mechanism of new-quality productive forces on urban carbon emissions. The findings are as follows： ① New quality productive forces significantly reduced urban carbon emissions. Heterogeneity analysis showed that the carbon-reducing effect was more pronounced in small and medium-sized cities， cities with lower levels of economic development， and resource-based cities. ② The development of new quality productive forces affected both the energy consumption structure and the rationalization of the industrial structure， thereby reducing urban carbon emissions through optimizing energy use and promoting industrial transformation. ③ In the process by which new quality productive forces influenced urban carbon emissions， government intervention weakened， while environmental regulation strengthened， their emission-reduction effects.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 8","pages":"5168-5178"},"PeriodicalIF":0.0,"publicationDate":"2026-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148866108","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 of New Quality Productive Forces on Green Development Level of Prefecture- level Cities in the Yellow River Basin].","authors":"Shi-Qi Ren, Yong-Yu Wang","doi":"10.13227/j.hjkx.202505206","DOIUrl":"https://doi.org/10.13227/j.hjkx.202505206","url":null,"abstract":"<p><p>Green development is the background of high-quality development， and new quality productive forces themselves are green productive forces. Based on the panel data of 81 prefecture-level cities in the Yellow River Basin from 2011 to 2020， a variety of measurement models were used to empirically test the impact of new quality productivity on the green development level and the heterogeneity performance. The study found that： ① The new quality productivity could significantly improve the green development level of prefecture-level cities in the Yellow River Basin. ② The regional heterogeneity analysis found that the new quality productivity could significantly improve the green development level of prefecture-level cities in the middle and downstream regions， but had no significant impact on the green development level of prefecture-level cities in the upstream regions. ③ The results of the SDM test showed that in the full sample regression， new quality productivity had a significant positive spatial spillover effect on green development level. These conclusions provide theoretical foundations and policy references for developing localized new quality productivity strategies to drive coordinated green development in the Yellow River Basin.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 8","pages":"5391-5399"},"PeriodicalIF":0.0,"publicationDate":"2026-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148866420","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":"[Migration and Transformation Mechanism of Veterinary Antibiotics Based on the Returning Livestock and Poultry Manure to the Field Soil].","authors":"Man-Fang Liu, Peng-Wei Qiao, Yue Shan, Qing-Yang Liu, Yi Huang, Yun Song, Yan Yang, Shan Li, Li Shi, Zhong-Guo Zhang, Bao-Cheng Wang","doi":"10.13227/j.hjkx.202504002","DOIUrl":"https://doi.org/10.13227/j.hjkx.202504002","url":null,"abstract":"<p><p>With the promotion of resource utilization of livestock and poultry manure， veterinary antibiotics （VAs） in manure can enter the soil environment during the process of returning to the field， posing ecological risks. Therefore， it is of great significance to accurately grasp the migration and convergence process of VAs in the soil environment for ecological risk prevention and control. However， most of the current studies focus on the distribution and removal technologies of VAs in returned soil， lacking a systematic summary of the migration and transformation mechanisms of VAs in returned soil. Therefore， this paper covers the whole process of VAs from the use of livestock and poultry farms to the final accumulation in soil environment， analyzes the migration and transformation mechanisms of VAs from ingestion by livestock and poultry to excretion， and examines the degradation mechanisms of VAs during aerobic composting and anaerobic fermentation of livestock and poultry manure. It highlights the migration and transformation mechanisms of VAs in returned soil under the influence of the properties of antibiotics and manure， and compares the cumulative levels of VAs background values in returned soil with those in domestic and international soils. It is of great significance to push forward the VAs emission threshold of the manure returned to the field， put forward a reasonable way of returning the manure to the field， and prevent and control the ecological and environmental risks.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 8","pages":"5794-5808"},"PeriodicalIF":0.0,"publicationDate":"2026-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148866857","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 Pattern and Source Apportionment of Dissolved Organic Matter in Quanmin Reservoir Watershed Based on Three-dimensional Excitation-emission Matrix Spectra].","authors":"Hong-Shuang Gao, Xin-Zhong Du, Yan Zhou, Yong-Xin Liao, Qiu-Liang Lei, Hong-Bin Liu, Zheng Liu","doi":"10.13227/j.hjkx.202507112","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507112","url":null,"abstract":"<p><p>The sources and composition of dissolved organic matter （DOM） in water bodies exhibit high spatiotemporal heterogeneity. Taking the Quanmin Reservoir watershed in Sichuan Province as the study area， water samples were collected from four inflow rivers and nearby pollution sources such as farmland drainage and sewage treatment plant effluents during the wet and dry seasons. Three-dimensional excitation-emission matrix spectra （3D-EEMs） combined with parallel factor analysis （PARAFAC） was used to analyze the composition， distribution characteristics， and sources of DOM in the study area. The correlation between water quality parameters and DOM parameters was further used to clarify the sources of DOM. The results showed that： ① The average concentrations of TP， NH₄⁺-N， NO₃^--N， TN， and DOC in the Quanmin Reservoir watershed were all lower in the wet season than in the dry season， and TN was the main pollutant in the watershed. ② The PARAFAC analysis identified three components in the DOM of the Quanmin Reservoir watershed， including terrestrial humic-like C1 （<i>E</i>_x/<i>E</i>_m = 360/425 nm）， visible light region fulvic-like C2 （<i>E</i>_x/<i>E</i>_m = 400/480 nm）， and microbial metabolic products C3 （<i>E</i>_x/<i>E</i>_m = 335/417 nm）. ③ The total fluorescence intensity of DOM was higher in the wet season than in the dry season. The relative abundance of terrestrial humic-like C1 was the largest in both periods， accounting for 37.40% and 37.52%， respectively. The average maximum fluorescence intensity of DOM in the two periods was in the order of Xiongjiagou River &gt; Guxian River &gt; Xixi River &gt; Motan River. ④ Based on fluorescence spectral parameters and multi-parameter correlation analysis， the three components of DOM in the Quanmin Reservoir watershed demonstrated homogeneity， and DOM was mainly of terrestrial origin， showing weak humification characteristics. Water quality parameters in different periods had different degrees of correlation with DOM components and fluorescence parameters. The research results can provide a basis for the source tracing of nitrogen and phosphorus pollutants and water environment management in the Quanmin Reservoir watershed.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 8","pages":"5686-5696"},"PeriodicalIF":0.0,"publicationDate":"2026-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148867119","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}