环境科学最新文献

{"title":"[Construction of Ecological Security Network and Multi-scenario Simulation in Guizhou Province Based on Landscape Ecological Security Assessment].","authors":"Rong Gou, Wei-Ci Su, Xian-Feng Huang","doi":"10.13227/j.hjkx.202406286","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406286","url":null,"abstract":"<p><p>Building a reasonable ecological security network is a key for the coordinated solution in the contradiction between ecological protection and economic development. Taking Guizhou Province with typical karst development and a weak ecological background as an example， the cultivated land protection scenario， ecological protection scenario， and natural development scenario in 2030 were simulated based on the PLUS model. According to the landscape ecological risk index， landscape ecological security zones were divided into different scenarios， ecological source areas were identified by the ecological security zoning results and the InVEST-MSPA model， and ecological corridors and ecological pinch points were extracted by the circuit theory， to form an ecological security network for Guizhou Province in 2020 and 2030. The results showed that： ① The mean values of landscape ecological risks in 2020 and 2030 were relatively small， but the spatial distribution of ecological security zones was quite different， and ecological risks were generally higher in the northwest and lower in the southeast. ② The spatial distribution of ecological source areas was greater in the southeast and less in the northwest， which was consistent with the ecological risk pattern. The ecological sources were mainly patches with high habitat quality and strong landscape connectivity. ③ The number of ecological corridors extracted in 2020 （current situation） and in the 2030 cultivated land protection scenario， ecological protection scenario， and natural development scenario were 126， 56， 113， and 126， respectively； the number of ecological pinch points identified were 107， 67， 104， and 168， respectively； and the numbers of obstacle points identified were 54， 24， 69， and 69， respectively. ④ Guizhou Province is one of the three leading demonstration provinces of ecological civilization construction in China， and the protection of the fragile ecological environment is highly restrictive to economic development. The landscape ecological risk under the natural development scenario was low， and the layout of ecological safety network was more realistic； thus， this scenario met the two-way needs of ecological protection and economic development in Guizhou Province. The research results can provide a scientific reference for the division of the ecological safety zone and ecological security control in Guizhou Province in the future.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4580-4591"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660576","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":"[Ecosystem Services Assessment and Network Optimization Under Multiple Scenario Simulations in the Karst Area of Southeast Yunnan].","authors":"Bao Zhou, Jun-San Zhao, Guo-Ping Chen, Xian-Cun Zhou, Ying Yin, Zu-Guo Yu","doi":"10.13227/j.hjkx.202406123","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406123","url":null,"abstract":"<p><p>Global climate change and economic growth have altered land use structures， impacting ecosystem services and spatial distributions. The Southeast Yunnan karst region， with its fragile ecological environment and diverse land use types， has become a focal area of research. Utilizing multi-scenario simulations， this study evaluates the impacts of future land use changes on ecosystem services and optimizes the ecological network， aiming to provide scientific guidance for regional ecological protection and sustainable development. Taking the Southeast Yunnan karst regions as the study area， land use data from 2000 to 2020 was analyzed. The Patch-generating Land Use Simulation （PLUS） model was employed to simulate land use patterns under three future scenarios for 2035： SSP126 （sustainable development）， SSP245 （natural growth）， and SSP585 （urban expansion）. The Integrated Valuation of Ecosystem Services and Trade-offs （InVEST） model was used to assess typical regional ecosystem services， and the spatial and temporal dynamics of ecological networks under different scenarios were analyzed. The results indicated that： ① The primary land use types in the Southeast Yunnan karst region were forests， croplands， and grasslands. From 2000 to 2020， the land use transfer area was 6 002.55 km²， with significant transfers among forests， grasslands， and croplands. By 2035， land use changes were projected to exhibit significant differences in intensity and pattern under the different scenarios. ② Compared with 2020， water yield and soil retention were projected to increase by 20 135 under all three scenarios， whereas habitat quality and carbon storage were expected to decline. The SSP126 scenario showed the highest gains in water yield and soil retention， with the least losses in habitat quality and carbon storage compared to those in the SSP245 and SSP585 scenarios. ③ Ecological source areas were mainly concentrated in the eastern and southern regions of Southeast Yunnan， with ecological networks predominantly oriented east-west. By 2035， the area of ecological source regions is expected to increase across all scenarios， enhancing the complexity and connectivity of the ecological network. ④ Future strategies should be based on the \"one screen， three belts， and multiple nodes\" optimization approach， implementing targeted ecological engineering projects to strengthen east-west corridors and develop north-south corridors. These findings provide scientific recommendations for ecological protection optimization and territorial spatial governance in the karst area of Southeast Yunnan.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4615-4627"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660580","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":"[Mechanism and Effect of Digital Economy Development on Ecological Resilience].","authors":"Ming Sun, Ming-Xu Wang","doi":"10.13227/j.hjkx.202406006","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406006","url":null,"abstract":"<p><p>On the basis of importance that China attaches to the construction of ecological civilization and green development， this study analyzes the impact of digital economy development on ecological resilience by using the panel data of 286 cities at the prefecture level and above in China from 2011 to 2022. The results showed that the development of the digital economy could significantly improve the ecological resilience， and this result still held after a series of robustness tests. Furthermore， the enhancement effect of digital economy development on ecological resilience had a non-linear feature of marginal increase. In terms of its mechanism， the development of digital economy could improve ecological resilience by promoting technological innovation and economic agglomeration， and the government's increased attention to new quality productivity has strengthened the role of digital economy development in improving ecological resilience. Further study found that the development of the digital economy could improve the ecological resilience of the city， which had a significant spatial spillover feature， that is， the development of the digital economy could not only improve the ecological resilience of the city but also help to improve the ecological resilience of neighboring cities. The heterogeneity test showed that the enhancement effect of digital economy development on ecological resilience was due to the heterogeneity of urban geographic location， administrative level， and resource endowment， that is， compared with that in eastern， central， and resource-based cities， digital economy development in central and western， peripheral， and non-resource-based cities had a greater enhancement effect on ecological resilience. The conclusions of the study can provide useful inspiration for China to clarify the mechanism of improving ecological resilience and provide policy basis for regional cooperation to strengthen ecological resilience.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4602-4614"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660591","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":"[Trade-offs/Synergies of Ecosystem Services in the Xiaoxing'an Mountains Based on the InVEST Model].","authors":"Neng-Neng Zhang, Zhao-Gang Liu","doi":"10.13227/j.hjkx.202405314","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405314","url":null,"abstract":"<p><p>The aim of this study was to understand and monitor the dynamic shifts in ecosystem services within the Xiaoxing'an Mountains Region， uncover the driving factors for these diverse ecosystem services， and offer a scientific foundation for devising effective regional management policies. Focusing on the Xiaoxing'an Mountains as the primary subject of study， this research employs the CASA and InVEST models to quantify five key ecosystem service functions： water conservation， soil conservation， habitat quality， carbon storage， and recreational tourism. The spatial overlay method is employed to analyze the spatiotemporal heterogeneity of the trade-off/synergy relationships among ecosystem services within the study area. Utilizing the optimal parameter-based geographic detector model， this study investigates the driving factors that influence ecosystem services. The results indicate that： ① Over time， water source conservation services in the study area saw an increase from 1990 to 2020， rising by 42%. The amount of soil conservation decreased by 4 million tons， and recreational tourism services were on a downward trend. The average net primary productivity （NPP） （in carbon units） was 754.03 g·（m²·a）^-1， exhibiting an initial increase followed by a decline. Habitat quality services remained largely unchanged and were generally in good condition. ② Overall， the ecosystem service relationships in the southeastern part of the study area were primarily characterized by high synergy， whereas those in the central and northwestern parts were primarily marked by weak trade-offs. Interactions between pairs of ecosystem services were predominantly synergistic， with each service enhancing the others. ③ Natural factors were the primary drivers influencing the ecosystem services and their interactions within the study area. In the water source conservation service， precipitation was the primary factor； in soil conservation， topographic relief was the primary factor； in habitat quality services， population density was the primary factor； in carbon storage， elevation was the primary factor； and in entertainment and tourism services， the interaction between precipitation， distance to the road， and annual average temperature had a significant impact. The results of this study help to grasp the main types of ecosystem services in the Xiaoxing'an Mountains Region， comprehend the spatiotemporal heterogeneity and driving factors of the distribution of ecosystem services， and in the future， devise differentiated functional optimization strategies in line with the characteristics of ecosystem service functions in different regions.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4628-4640"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660608","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":"[Source Analysis and Ecological Risk Assessment of Heavy Metals in Soil of the Yifeng County， Jiangxi Province Based on APCS-MLR Receptor Model].","authors":"Zhi-Min Tang, Mo Zhou, Ming Zhang, Xiao-Dong Zhang, Fu-Jin Tian, Bing-Quan Liu, Qiang-Qiang Zhou, Bang-Yong Weng, Hong-Yu Jiang","doi":"10.13227/j.hjkx.202405243","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405243","url":null,"abstract":"<p><p>The enrichment of heavy metals in soil is a consequence of both natural processes and anthropogenic activities. Conducting source analysis and ecological risk assessment of heavy metals in soil is a necessary approach for serving the prevention and control of soil heavy metal pollution. To identify the sources and ecological risk characteristics of heavy metals in the soil of Yifeng County， Jiangxi Province， surface soil samples were collected， and the heavy metal content and pH value were analyzed. The absolute principal component score-multiple linear regression （APCS-MLR） receptor model was applied to analyze the sources of heavy metals in the soil， and the contribution rates of each source were quantitatively calculated. The ecological risk of heavy metals in the soil was evaluated based on the geo-accumulation index method and the potential ecological risk index method. Meanwhile， GIS was utilized to explore the spatial distribution pattern of heavy metals in the soil. The results showed that the average values of <i>ω</i>（As）， <i>ω</i>（Cd）， <i>ω</i>（Cr）， <i>ω</i>（Cu）， <i>ω</i>（Hg）， <i>ω</i>（Ni）， <i>ω</i>（Pb）， and <i>ω</i>（Zn） in the soil of the Yifeng County were 9.7， 0.211， 68， 25， 0.113， 24， 37， and 87 mg·kg^-1， respectively， which were higher than the soil background values of the Jiangxi Province. Controlled by geological settings， the high content areas of As， Cr， Cu， and Ni were consistent with the distribution of the Qingbaikou metamorphic rock formations in the area， and the spatial distribution of Cd， Hg， Pb， and Zn showed significant differences from the distribution of rock formation types due to anthropogenic activities. The ecological risk assessment found that the risk of soil heavy metal pollution in the Yifeng County was relatively low on the whole， but there were local occurrences of slight pollution and moderate risk mainly caused by As， Cd， and Hg. The APCS-MLR receptor model identified three sources of heavy metals. Arsenic， Cr， Cu， and Ni were predominantly derived from natural sources， with contribution rates of 80.06%， 69.92%， 80.49%， and 94.27%， respectively. Lead and Zn primarily originated from transportation activities， contributing 74.73% and 66.99% to the overall contamination. Furthermore， Cd and Hg were predominantly influenced by industrial and agricultural sources， with respective contribution rates of 43.62% and 58.09%. The above research can provide data and theoretical support for soil pollution prevention and control in the Yifeng County.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4674-4683"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660531","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":"[Differences in Multi-temporal and Spatial Scale Responses of Water Quality to Landscape Features in Tectonic and River-forming Lake Watersheds in Southwest China].","authors":"Yan Wang, Rui Liu, Jie Liu, Jing Zhang","doi":"10.13227/j.hjkx.202406070","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406070","url":null,"abstract":"&lt;p&gt;&lt;p&gt;To investigate the differences in water quality response to landscape features at multiple spatial and temporal scales for different lake types， the Dianchi Lake （Tectonic Lake） in Kunming， Yunnan Province and Fushun West Lake （Hecheng Lake） in Zigong， Sichuan Province were used as the objects of the study. Land use types and landscape pattern indices were extracted at five spatial scales of 200， 400， 600， 800， and 1 000 m buffer zones of the Dianchi Lake basin in Kunming and 20， 40， 60， 80， and 100 m buffer zones of the Fushun West Lake Basin. Combined with lake water quality data from the wet season （July 2022） and dry season （April 2023）， the correlation analysis and the redundancy analysis （RDA） were used to quantitatively compare the differences in the multi-temporal and spatial scale responses of water quality to landscape characteristics between two types of lakes. The results showed that： ① All land use types of Fushun West Lake were urban land， and the land use types of Kunming Dianchi were richer， in which urban land was dominant. The landscape fragmentation of both lakes decreased with the increase of spatial scale. Due to the different landscape characteristics of the two lake basins， their water quality was better in the dry season than in the wet season， and the water quality of Fushun West Lake was better than that of Kunming Dianchi. ② Fushun West Lake had the highest explanation rate of the landscape characteristics to the water quality at the scale of 60 m lakeshore buffer zone in the dry season， whereas Kunming Dianchi had the strongest response to the landscape characteristics in the wet season and 800 m lakeshore buffer zone. The response of water quality to the landscape characteristics of Kunming Dianchi was higher than that of Fushun West Lake. ③ There were significant differences in the response of water quality of varying lake types to different landscape features at different spatial and temporal scales. In this study， the urban land was a \"sink\" landscape of water quality in the Dianchi Lake basin in both dry and wet seasons， while the Fushun West Lake basin was a typical \"source\" landscape. Forest land was a \"source\" of polluted water quality at multiple spatial and temporal scales in the Kunming Dianchi basin， with a negative correlation between buffer scale and most water quality indicators at more distant lakeshore zones during the dry season. Patch density was the most critical indicator affecting water quality in Dianchi and Fushun West Lake watersheds. Moreover， the landscape shape index had a greater impact on the water quality of Fushun West Lake than that of Kunming Dianchi. By studying the differences in the response of water quality of different lake types at multiple spatial and temporal scales， this study helps to better predict and respond to the potential impacts of environmental changes on water resources and ecosystems. It also provides a scientific basis for the development of more precise and ","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4227-4240"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660577","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":"[Quantitative Analysis of the Drivers of Spatial and Temporal Evolution of Vegetation Cover in the Beijing-Tianjin-Hebei Ecological Barrier Area].","authors":"Jiao Pang, Xin-Yu Guo, Chen-Yang Li, Xue-Han Huang, Yu-Wen Zhang, Jing Shan, Zi-Han Miao, Wen-Ge Su, Feng Yan, Ya-Heng Chen","doi":"10.13227/j.hjkx.202407062","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407062","url":null,"abstract":"<p><p>The Taihangshan-Yanshan Region （TYR） is an important ecological barrier region for Beijing-Tianjin-Hebei. The effectiveness of its ecological protection is of great significance to the ecological security pattern of Northern China. In this study， based on the 22 a long time series of fractional vegetation cover （FVC） data from 2000-2021， we explored the spatial and temporal succession process of vegetation cover in the TYR by using methods such as spatio-temporal heterogeneity analysis and correlation analysis and quantitatively separated the contributions of climate change and human activities to the impact of the FVC. The results showed that： ① The FVC in the TYR showed a slowly fluctuating upward trend，with an average growth rate of 0.022 2 a^-1. FVC is increasing more than stabilising and decreasing， especially in the western Yanshan and the central and western Taihangshan， with a highly significant increasing trend and a spatial distribution of 'high in the north-west and low in the south-east\". ② The results of the partial correlation analysis indicated a positive correlation between vegetation cover and precipitation in most areas of the TYR. However， there was a negative correlation with temperature， although it was not statistically significant. The correlation analysis suggested that meteorological factors alone or in combination had limited ability （no more than 14.00%） to influence the evolution of the FVC， so it is likely that other factors were involved. ③ The residual results indicated the significance of anthropogenic factors and supported the compound correlation findings. Climate change and human activities together affected 74.25% and 69.75% of the improved and degraded areas， respectively. The area that had improved due to human activity accounted for 80.80% and was mainly distributed in the north-central TYR. The degraded area was mainly concentrated in the south-central Yanshan and eastern Taihangshan， where the human activity-driven area accounted for as much as 76.78%. The conclusions of the study can provide an important reference for ecological environmental protection and restoration.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4370-4381"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660597","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 the Distribution and Causes of Brackish Water in the Plains of Aksu River Basin].","authors":"Chang-Jiang Zou, Bin Wu, Ming-Liang Du, Cui Wang, Zi-Yun Tuo","doi":"10.13227/j.hjkx.202405279","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405279","url":null,"abstract":"<p><p>To explore the spatial distribution and formation mechanism of underground salty water in the Aksu River Basin， 443 sets of effective groundwater samples were collected and analyzed by comprehensively applying mathematical statistics， hydrochemical analysis， and inverse hydrological earth simulation methods. The results showed： ① The brackish water distribution area covered 0.55×10⁴ km² in the Aksu River Basin， which represented 44.33% of the total plain area. This brackish water was mainly distributed in the lower reaches of the Aksu River Basin. Overall， its distribution demonstrated an east-west diffusion pattern influenced by local factors such as river flow， geological units， and groundwater flow directions. ② The composition of ions in the brackish groundwater primarily originated from the dissolution of evaporated salt rocks， followed by the weathering of silicate rocks and limited dissolution of carbonate rocks. As each salt rock dissolved to a certain threshold， sulphate or carbonate precipitates were released， leading to reduced concentrations of Ca²⁺， Mg²⁺， SO₄^2-， and HCO₃^- ions and a transformation of water chemistry to Cl^--Na⁺ type. ③ The factors influencing the formation of salty underground water， in descending order of impact， included evaporation and concentration， water-rock interactions， and cation exchange. Evaporation and concentration notably contributed to elevated concentrations of brackish groundwater. The dissolution of evaporated saline rocks significantly influenced the formation of brackish groundwater， with cation exchange exerting a stronger influence compared to that of carbonate rocks. ④ In the upper reaches of the watershed， the transfer of substances followed the sequence： evaporated saline rocks &gt; carbonate rocks &gt; cation exchange （reverse）. Conversely， in the lower reaches， the sequence shifted to evaporated saline rocks &gt; cation exchange （forward） &gt; carbonate rocks. These findings are pivotal for the sustainable management and utilization of brackish water resources in the Aksu River Basin， aiming to foster the region's water resource sustainability.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4310-4321"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660507","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 and Analysis of Typical Ozone Pollution Processes in Hebi].","authors":"Nan Meng, Wen-Juan Zhao, Xin-Min Zhang, Ping Tao","doi":"10.13227/j.hjkx.202405328","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405328","url":null,"abstract":"<p><p>In recent years， the central plains urban agglomeration has been facing air pollution problems， of which the ozone （O₃） pollution in Hebi City has been particularly prominent， for up to five months， with the most serious pollution situation occurring in June. In this study， the period from June 20-27， 2023， which had the longest O₃ duration （8d） and high O₃ hourly average concentration of 256 μg·m^-3， was selected as a typical O₃ pollution process for characterization and analysis. Various methods， such as the positive definite matrix factor decomposition （PMF） model， air pollutant source emission inventory， and ozone formation potential （OFP）， were used to resolve ozone sources. The Meteoinfo model potential source contribution factor method （PSCF） and concentration weighting trajectory （CWT） method were used to explore the regional transport of O₃. The results showed that： ① O₃ was more strongly correlated with VOCs and became significantly negatively correlated with aromatic， alkane， and halogenated hydrocarbons， followed by NO<i>_x</i>. ② Based on the local traceability of VOCs， the reactive species such as isoprene， <i>m</i>/<i>p</i>-xylene， ethylene， 1，2，4-trimethylbenzene， hexanal， and toluene contributed the most to the O₃ generation， and the results of the local emission inventories and PMF modelling showed that the main sources of VOCs included solvent use sources （25.7%）， process sources （23.1%）， mobile sources （20.4%）， fossil fuel stationary combustion sources （9.9%）， biomass combustion sources （8.9%）， and natural sources （12.15%）. ③ In addition， fossil fuel stationary combustion sources and mobile sources also contributed the most to NO<i>_x</i> emissions. ④ In response to the pollution process， man-made sources of O₃ pollution were influenced by air masses from different directions in the surrounding cities of Xinxiang， Anyang， and Zhengzhou. Natural sources were mainly influenced by a southeastern air mass dominated by Zhoukou and Chuzhou. In summary， O₃ pollution prevention and control should focus on cutting down the enterprises with high VOCs emissions such as the coal chemical industry in Baoshan Park and the fine chemical industry in Jijishan Park in Hebi， as well as electric power enterprises mainly based on Heqi and Fenghe Power Generation Limited Liability Company， and timely checking the standards for the use of machinery at construction sites and agricultural machinery， while it is crucial to strengthen the regional joint prevention and control.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4042-4051"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660574","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":"[China's Provincial Horizontal Carbon Compensation Mechanism Based on Power Carbon Transfer].","authors":"Fu-Gui Dong, Ming-Xia Shi, Wan-Ying Li, Pei-Jun Wang","doi":"10.13227/j.hjkx.202405192","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405192","url":null,"abstract":"<p><p>Establishing a provincial carbon compensation mechanism is essential to achieving balanced and sustainable regional development and contribute to carbon peaking and neutrality goals. To establish a fair and reasonable horizontal provincial carbon compensation mechanism， this study took 31 provinces （cities and autonomous regions） in China as the research object. First， we measured the carbon transfer volume caused by power generation and consumption in 2021 and identified the carbon compensation subject and object. Second， we used the CO₂ shadow price calculated by the slack measurement model Slacks-Based Measure （SBM） as the unit price of carbon to determine the carbon compensation standard. Then， carbon emission responsibility allocation adopted a shared responsibility system， using the economic contribution coefficient and ecological carrying coefficient to modify the Pearl growth curve model， determining the carbon compensation coefficient and using its normalized value as the basis for carbon emission responsibility allocation. Finally， the provincial carbon compensation was realized through the fiscal transfer theory. The results showed that the national average CO₂ shadow price was 1 944.84 yuan·t^-1， and the shadow price was related to the level of economic development， industrial structure effect， and other factors. The total amount of carbon compensation in each province was 54.202 billion yuan in 2021， and 12 regions were compensated provinces， such as Shanxi， and compensation provinces included 19 regions， such as Guangdong. The overall spatial distribution of carbon compensation showed a state of \"paying from east to west.\" In the end， suggestions for constructing the provincial horizontal carbon compensation system were made from multiple perspectives.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4065-4074"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660575","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}