环境科学最新文献

{"title":"[Spatio-temporal Evolution and Driving Force Analysis of Carbon Storage in Anhui Province Coupled with PLUS-InVEST-GeoDectetor Model].","authors":"Ji-Ang Jia, Wei-Ling Guo, Liu-Yang Xu, Chang Gao","doi":"10.13227/j.hjkx.202403132","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403132","url":null,"abstract":"<p><p>To explore the impact of land use change on carbon storage and the driving factors of spatial differentiation of carbon storage in Anhui Province under the strategic goal of \"dual carbon\" and to predict the land use pattern of Anhui Province in 2035 under different scenarios is theoretically and practically important. The coupling PLUS-InVEST model was used to analyze the spatial and temporal variation characteristics of land use pattern and carbon storage in Anhui Province under the scenarios of natural development, ecological protection, cultivated land protection, and ecological cultivated land protection in 2035, and the driving force of spatial differentiation of carbon storage was analyzed by using geographic detectors. The results showed that： ① From 1990 to 2020, the land use pattern of Anhui Province showed a trend of continuous decrease in cultivated land and forest land area and significant expansion of urban area. ② From 1990 to 2020, the carbon storage in Anhui Province decreased by 1.39×10⁷ t, showing a continuous decreasing trend, and the conversion of cultivated land to urban was the major reason for the decrease in carbon storage, accounting for 65.96% of the total carbon storage loss. ③ The explanatory power of elevation on carbon storage was the strongest under single factor detection （<i>q</i> value of 0.185）, and the explanatory power of natural environmental factors on carbon storage spatial differentiation was dominant. ④ In 2035, the carbon storage under different scenarios will be decreasing, and the reduction of inhibited carbon storage under the cultivated land ecological dual protection scenario will be the most significant.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1703-1715"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671358","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 Disinfection Effects of Dual-wavelength Ultraviolet and Its Impact on Photoreactivation and Dark Repair].","authors":"Tian-Hong Zhou, Yuan-Fu Liang, Zhe Sun, Meng-Kai Li, Jia-le Wang, Wen-Tao Li, Wei-Wei Ben, Guo-Zhen Zhang, Zhi-Min Qiang","doi":"10.13227/j.hjkx.202401163","DOIUrl":"https://doi.org/10.13227/j.hjkx.202401163","url":null,"abstract":"<p><p>Ultraviolet-C （UV-C） irradiation can effectively deactivate pathogenic microorganisms. The far UV-C （200-230 nm） and conventional UV-C （250-280 nm） can damage the proteins and nucleic acids of pathogenic microorganisms, respectively. The combination of far and conventional UV-C has the potential of synergistic inactivation. However, relevant studies remain limited owing to the lack of appropriate experimental setups. Therefore, this study established a mini-fluidic photoreaction system equipped with a KrCl excimer lamp and a low-pressure mercury lamp. This system could independently/simultaneously deliver stable 222 nm （far UV-C） and 254 nm （conventional UV-C） irradiations. Subsequently, the system was used to investigate the synergistic effect of dual-wavelength UV-C （the combination of 222 nm and 254 nm UV-C） on <i>Escherichia coli</i> （<i>E. coli</i>） inactivation and the subsequent impact on photo- and dark-reactivation. The results indicated that dual-wavelength UV-C had a significant synergistic effect on <i>E. coli</i> inactivation, with a synergistic coefficient up to 2.2. Additionally, comparing to 254 nm UV irradiation, the photo-reactivation of <i>E. coli</i> after dual-wavelength UV-C irradiation was weakened, with the maximum lg reactivation percentage reducing from 50.8% to 36.1%. Furthermore, <i>E. coli</i> after dual-wavelength UV-C irradiation exhibited dark decay, in which the inactivation efficiency was further enhanced during dark treatment. Therefore, these results suggest that dual-wavelength UV-C could inhibit the light reactivation and dark repair of <i>E. coli</i>, ensuring the water biosafety, as well as providing reference for the development of effective and safe water disinfection technologies.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1443-1449"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671360","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":"[Landscape Pattern and Dynamic Change of Fractional Vegetation Cover in a Typical County in an Arid Region].","authors":"Jin-Yi Huang, Qian Sun, Yong-Gang Huang, Ting-Wei Song, Xin-Yue Hu, Zhao-Xiang Zhang","doi":"10.13227/j.hjkx.202402015","DOIUrl":"https://doi.org/10.13227/j.hjkx.202402015","url":null,"abstract":"<p><p>The dynamic change in fractional vegetation cover （FVC） in arid areas is an important basis for the development and evolution of desertification as well as critical component land desertification control. Using Hebukeser （also known as Hefeng）, a typical arid zone county, as the study area, we analyzed the changes in the ecological landscape pattern of vegetation with different coverages； investigated the dynamic changes of landscapes with different FVC from the perspectives of change frequency statistics, geocoding method, and migration of the center； and elaborated on the dynamic shift of various types of landscapes and the rule of migration of the center. The finding showed that： Over the course of the 20-year period, the county's average FVC increased from 18.00%-20.39%. Notable differences were observed in the county's spatial distribution, with low FVC predominating and very high and high FVC primarily distributed in the northern and central villages. The area with four changes in vegetation cover accounted for 71.98% of the total area, primarily representing the distribution area of the very high FVC, and the area with no change accounted for just 0.08%. The proportion of stable and fluctuating area was the same, 39.60% and 42.54%, respectively； the conversion between different types of FVC was frequent, with \"very low → low,\" \"low → very low,\" and \"low → medium\" conversion types. The center of medium, high, and very high FVC was distributed in the north, indicating that the vegetation in the north was growing well and that ecological projects like restoring pasture to grassland had yielded excellent results. The distribution of landscape patches with very low and low FVC was more compact and stable, while the diversity of the overall landscape pattern remained stable and unchanged, with the Evenness Index increasing from 0.17-0.19. The degree of fragmentation between various types of FVC was low, and the distribution was more centralized. During the past 20 years, the FVC in Hefeng had fluctuated upward with large amplitude. The desert area in the county's south was the highest priority for future vegetation protection as well as desertification prevention and control. Future vegetation protection and desertification control efforts should prioritize the southern desert area.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1645-1656"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671315","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 Correlation Network Effect and Influencing Factors of Green and Low-carbon Development in Logistics Industry].","authors":"Yue-Yue Ma, Yin-Ping Li, Lin-Xi Ma","doi":"10.13227/j.hjkx.202402048","DOIUrl":"https://doi.org/10.13227/j.hjkx.202402048","url":null,"abstract":"&lt;p&gt;&lt;p&gt;As the logistics infrastructure network constantly improves and the demand for low-carbon transition continues to increase, the green, low-carbon development of the logistics industry has displayed distinctive features of spatial association. Therefore evaluating the effects and causes of spatial association comprehensively and objectively to promote the low-carbon transition of the logistics industry and coordinated development between regions, is important. Based on the global EBM model of undesirable output, this study measured the green, low-carbon development level of inter-provincial logistics in China and revealed the spatial association features of low-carbon development in the logistics industry, as well as the formation mechanism. The research findings are listed below： ① The green, low-carbon development level of inter-provincial logistics showed a complex, multi-threading network of spatial association. Although the green, low-carbon development of the logistics industry in the regions was still at a low level, a significant spatial spillover effect, accompanied by a highly accessible and stable spatial association network was observed. ② An imbalance has been observed in the spillover and benefiting pattern of the green, low-carbon development of inter-provincial logistics. Specifically, the logistics industry in the eastern region, which consumes less energy and produces less pollution, took the lead in the development of low-carbon logistics, whereas energy-intensive and highly polluting industries were concentrated in the central and western regions, which are key regions for green, low-carbon development that are currently at the stage of benefiting from the economic activities of green logistics in nearby regions. ③ The Beijing-Tianjin-Hebei Region, southern region, and western provinces along the New International Land-Sea Trade Corridor served as the broker module, which were important hubs for achieving the high-quality development of the logistics industry. The eastern region and coastal areas in the east, as modules with a bidirectional spillover, were at the key stage of green industrial upgradation and played a two-way leading role in and out of the module. The western region, as the major beneficiary module that receives the industrial transfer of the eastern region, was at the stage of green technology absorption and improvement, thus showing a limited spillover capacity currently. ④ The study on the formation mechanism of the spatial association network suggested that regions with close traffic connection displayed competition effects on the low-carbon development of logistics. Regional differences in industrial structures, transportation infrastructure, and government support could enhance the spillover and flow in the green, low-carbon development level of logistics, while similar logistics aggregation and level of energy-saving technology contributed to forming the spatial association network of low-carbon log","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1462-1472"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671344","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":"[VOCs Emission Retrieval in Industrial Parks Based on the ADMS Model].","authors":"Ou Yan, Ti-Jian Wang, Zhao-Yuan Ruan, Gen-Hui Ma, Xiang-Yu Sheng, Yu-Zheng Wang","doi":"10.13227/j.hjkx.202401037","DOIUrl":"https://doi.org/10.13227/j.hjkx.202401037","url":null,"abstract":"<p><p>To estimate the emission strength of volatile organic compounds （VOCs） from enterprises at an industrial park scale, this study established a VOC source estimation method based on small-scale air quality modeling （ADMS） and mobile monitoring data. First, hourly meteorological data was used to identify the enterprises along the vehicle path based on wind direction. The impact of enterprise emissions on the concentration at the mobile monitoring points was calculated using ADMS. Simulation results were compared with observed values to quantify the VOC source strengths of different enterprises. Further inversion experiments were conducted based on mobile monitoring data from Shenyang Economic Development Zone from July 28th to August 10th, resulting in the hourly emission strengths of the top ten enterprises. In this study, two time periods, from 10：00 to 11：00 on July 28th and from 10：00 to 11：00 on July 29th, exhibited higher emissions from enterprises, primarily from those related to furniture manufacturing. Additionally, emissions from VOCs exceeded 100 g·s^-1 in three of the enterprises. Validation of the model tracing results was conducted based on observational data and the results indicated a good correlation between simulated and observed values. The source apportionment method established in this study provides a novel approach for quantifying emission strength of VOCs in industrial parks, offering a scientific basis for precise control of atmospheric pollution emissions in industrial park areas.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1340-1349"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143670094","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 Easily Oxidized Soil Carbon Content and Carbon Pool Management Index in Typical Climate Zones in Eastern China].","authors":"Yi-Jun Xu, Xiang-Bi Chen, Jun Wang, Ling Xie, Wan-Qing Liu, Xiao-Fang Zhang, Xun Duan, Chong Ma, Hang Qiao, Ya-Jun Hu, San-An Nie","doi":"10.13227/j.hjkx.202403196","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403196","url":null,"abstract":"<p><p>Climate and land use are important factors affecting the soil carbon pool and organic carbon influx. To explore the characteristics of active organic carbon content and carbon pool management index in farmland soils in typical climate zones, two types of farm land （dry land and paddy fields） and adjacent forest soils in four climate zones （temperate, warm temperate, subtropical, and tropical） in eastern China spanning north to south were selected for study. The permanganate oxidizable carbon （POXC） content in each climate zone was analyzed, and the soil lability of carbon （<i>L</i>）, soil lability index （LI）, carbon pool index （CPI）, and carbon pool management index （CMI） under each land use type were calculated. The following trends were observed across the three land use types： Soil POXC content was generally slightly higher in the north than in the south and consistently higher in paddy fields than in dry lands. <i>L</i> was significantly higher in warm-temperate regions than in the other three climatic regions. This suggests that soils in warm temperate regions （primarily fluvio-aquic soils） and paddy field soils have high organic carbon activity and soil carbon pool quality. However, measures to avoid soil organic carbon （SOC） loss during agricultural use must be crucially implemented. Paddy field soils exhibited higher CPI values than dry land soils across all four climatic regions. Specifically, the CPI of paddy fields was &gt;1 in all regions, whereas dry lands had carbon pool indices of &lt;1, except in the warm temperate region. This indicates that long-term paddy field cultivation enhanced organic carbon soil stocks, whereas long-term dry land farming reduced them compared with those in adjacent forested areas. Except for the subtropical dry lands, the average CMI for both types of farmland soil in all four climatic regions was &gt;100. Furthermore, the index was higher in paddy fields than in adjacent dry lands and higher in the north than in the south, suggesting that long-term agricultural use can improve SOC quality, thereby promoting the conversion and supply of soil organic nutrients. Correlation analysis revealed significant positive correlations between POXC and SOC, total nitrogen, pH, and sand and significant negative correlations with clay, silt, mean annual temperature （MAT）, and mean annual precipitation （MAP）. CMI correlated positively with pH and sand and negatively with MAT and MAP. These findings provide a scientific basis for understanding the impacts of long-term agricultural use on soil carbon pool activity and soil quality in the typical climatic regions of eastern China. This can guide appropriate agronomic management practices aimed at enhancing carbon pool management.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1729-1736"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671091","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 and Prediction of Ecological Vulnerability of the Central Plains Urban Agglomeration Based on the SRP Model].","authors":"Zong-Ze Zhao, Qian Ma, Yi Wang, Chao Ma, Hong-Tao Wang","doi":"10.13227/j.hjkx.202403011","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403011","url":null,"abstract":"<p><p>The analysis and prediction of ecological vulnerability of the Central Plains Urban Agglomeration, as a demonstration area for green ecological development planning, is important for understanding the current status and future development trends of the ecological environment in this region. This article is based on the \"sensitivity-resilience-pressure\" （SRP） model, selecting multi-source remote sensing spatial statistical data, using the entropy weight method to determine the weights of each index, and constructing an evaluation index system for the ecological vulnerability of the Central Plains Urban Agglomeration. This study analyzed the spatial distribution and temporal changes of ecological vulnerability in the study area from 2005 to 2020. With the help of the geographical detector model, the driving factors of ecological vulnerability in the study area were explored and combined with the CA-Markov model to predict the ecological vulnerability status in 2025. The results showed that： ① The Central Plains urban agglomeration was primarily characterized by mild vulnerability, exhibiting a spatial trend of higher vulnerability in the northwest and lower in the southeast. Over time, it displayed an evolutionary trend of first increasing and then decreasing. ② Regardless of whether the level of ecological vulnerability increased or decreased, each level tended to undergo large-scale transitions toward the nearest level, with the most important changes occurring in the severe vulnerability level. ③ Building area percentage, biological abundance, fractional vegetation cover, population density, and gross domestic product （GDP） were notable influencing factors that contributed to the ecological vulnerability of the Central Plains urban agglomeration, and the interaction between all these indicators had significantly increased. ④ The predictive results for 2025 showed a downward trend in ecological vulnerability, indicating an improvement in the ecological environment.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1621-1632"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671129","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":"[Differentiation Impact of Urban Form on Heat Island Intensity Along Urban Development Gradients in Zhengzhou].","authors":"Sen Wang, Sui-Ping Zeng, Jun-Mo Lu, Namaiti Aihemaiti, Jian Zeng","doi":"10.13227/j.hjkx.202403029","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403029","url":null,"abstract":"<p><p>The impact mechanism of urban form on heat island intensity （HI） is a core issue of research attention. Existing achievements have mostly focused on the correlation between urban form and thermal environment. Research on the differences along urban development gradients, and research on marginal effects and optimization paths under gradient differences is relatively scarce. This study considered the central urban area of Zhengzhou as an example, based on multi-source data such as Landsat remote sensing images and NPP-VIIRS satellite night light remote sensing images, and introduced a gradient-enhanced regression tree model to improve the DEMATEL-ISM method, exploring the gradient differences and marginal effects of urban morphology on heat island intensity. The results showed that： ① From 2006 to 2020, the HI decreased with the increase in urban development gradient, and the increasing trend slowed down annually. ② The gradient difference between urban form and HI was significant. The green space form index always had a strong impact on HI, among which, NDVI was the most significant variable within each gradient, and the impact intensity of the construction land pattern index increased significantly with the increase in gradient, whereas the role of building combination form index weakened accordingly. ③ According to the ISM model, a four story-three order structural model of urban form indicators was obtained. The construction land pattern indicator within the high intensity construction gradient was the root cause order, and the building combination form indicator within the low intensity construction gradient was the root cause order. ④ The differences in the marginal effect of urban form along the gradient were significant. As the value of the indicator increased, its impact intensity and direction would change. There were differences in the key indicators and threshold ranges that affected the intensity of HI within different gradients. The study proposes a marginal optimization method for urban form based on the improvement of the urban thermal environment under the differences along urban development gradients, providing refined practical reference for orderly urban expansion and coordinated urban-rural development.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1924-1936"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Effects of Different Metal Elements on Cadmium Uptake Under Wheat-rice Rotation Condition].","authors":"Jing Tian, Zhen-Bo Wang, Jian-Kang Zhou, Hai-Kuan Cheng, Chang Li, Hong-En Liu, Fu-Qing Sui, Peng Zhao","doi":"10.13227/j.hjkx.202403038","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403038","url":null,"abstract":"<p><p>The accumulation of cadmium （Cd） in the food chain poses a serious threat to human health. To explore the possible heavy metal cation inhibitor, a pot experiment was developed to research the addition of Fe, Mn, Zn, and Mg on Cd uptake and accumulation in wheat and rice. Soil Cd content was artificially added to 5 mg·kg^-1 and aged for one month. Fe, Mn, and Zn were added as metal chlorides at a ratio of 100 mg·kg^-1 and Mg for 300 mg·kg^-1. The main results were： ① Zn supplementation significantly enhanced the grain biomass of wheat and rice； ② Zn remarkably reduced the grain Cd content in wheat and rice, with a decrease of 41% and 23% in wheat and rice grain Cd content compared with that in the control, respectively, without yield penalty； and ③ In the wheat-rice rotation mode, the grain Cd content in rice was notably lower than that in wheat, with a reduction to 0.17 mg·kg^-1 for <i>ω</i> （Cd）, which was below the rice Cd limit value （0.2 mg·kg^-1） specified by the national food safety standard （GB 2762-2022）. Collectively, these findings suggest that the application of Zn in a wheat-rice rotation system significantly mitigate Cd accumulation in grains, with rice exhibiting a more pronounced effect. These results hold notable implications for the safe utilization of Cd-contaminated farmland and ensuring food security.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1806-1814"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671241","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":"[Influencing Factors and Decoupling Effects of Agricultural Carbon Emissions in the Yangtze River Economic Belt].","authors":"Yu-Liang Cao, Xun Ni, Hong-Yu Gong","doi":"10.13227/j.hjkx.202403263","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403263","url":null,"abstract":"<p><p>In the context of the era when new quality productivity is promoting the construction of an agricultural power, sorting out the rising path of agricultural carbon in the Yangtze River Economic Belt and clarifying issues, such as agricultural carbon height and carbon decoupling are important to promoting the \"double carbon\" process in the agricultural field. A statistical model of agricultural carbon emissions was established to measure the agricultural carbon emissions of 11 provinces （municipalities） in the Yangtze River Economic Belt from 2000 to 2022. On the basis of clarifying the spatial and temporal distribution characteristics and reduction of agricultural carbon emission intensity, the LMDI model was used to analyze agricultural carbon emissions. Second, we constructed models of decoupling in terms of speed and quantity and explored the decoupling relationship between the most influential factors with the strongest driving effect and agricultural carbon emissions. The results showed that during the study period, the total agricultural carbon emissions in the Yangtze River Economic Belt first increased and then decreased, and the major emission sources were straw burning, grain planting, livestock breeding, and agricultural material input. The level of economic development was the major factor leading to the increase in agricultural carbon emissions. Although the improvement of agricultural production efficiency inhibited the increase in carbon emissions caused by the growth of output value to a certain extent, the total inhibitory effect was lesser than the total promotion effect. From the perspective of double decoupling, the region has not yet reached a stable and strong decoupling state between agricultural carbon emissions and economic income growth of farmers. Based on this, suggestions for pollution reduction and carbon sequestration, clean production, and green transformation are put forward, respectively, for the planting industry, breeding industry, and agricultural product supply chain in the upstream, midstream, and downstream regions.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1535-1547"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671306","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}