工业工程最新文献

{"title":"[Effect of Low-density Polyethylene Microplastics on Soybean-soil-microbial System].","authors":"Yu-Fei Jia, Jia-Wen Wang, Rui-Kun Wang, Tian-Qi Wang, Xue-Hui Xu","doi":"10.13227/j.hjkx.202403213","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403213","url":null,"abstract":"<p><p>The widespread use of plastics has led to the prevalence of microplastics in the soil environment, which, as an emerging pollutant, affects plant growth, soil physicochemical properties, and microbial community structure. The effects of different contents of low-density polyethylene microplastics （LDPE-MPs） on soybean growth, soil physicochemical properties, soil enzyme activities, and microbial activities were investigated through pot culture experiments to explore the toxic effects of microplastics on soybean-soil-microbial systems. The results showed that compared with that in the control, microplastics inhibited soybean emergence （14.1%-25.0%）, whereas plant height, biomass, and pod weight were inhibited by low concentration and promoted by high concentration, and SPAD of soybean was significantly reduced by high concentrations of microplastics stress. Microplastics affected the quality of soybeans, with s-sugars, s-proteins, and cellulose increased by 117.7%-258.8%, 3.7%-61.6%, and 47.8%-83.4%, respectively, compared with those in the control. Microplastic addition also affected soybean nutrient uptake, as evidenced by the promotion of N （95.1%-144.4%） and P （4.1%-20.4%） uptake in the above-ground portion of soybeans and N （11.4%-19.4%） and P （8.5%-42.6%） uptake in the below-ground portion of soybeans, and inhibited K （2.2%-15.3%） uptake in the aboveground portion of the plant and K （3.9%-9.4%） uptake in the below-ground portion of the plan, respectively. The addition of microplastics had little effect on soil pH； however, it significantly increased CEC （65.1%-74.7%） and SOM （22.6%）. With the increase in the addition content, the content of NO₃^--N, AP, AK, and UE activities were significantly reduced； the content of NO₃^--N, AP, and AK was reduced by 57.7%, 22.0%, and 18.8% compared with that in the control at 3% addition, respectively； and UE activity was inhibited by 13.98%. Further, 16S rRNA sequencing analysis showed that microplastic stress increased the abundance of the Proteobacter group and reduced the abundance of the Acidobacter group in the soil, decreasing the diversity of the community, which in turn destabilized the microbial community and made the entire system less stable. In summary, microplastic stress affects the stability of soybean-soil-microbial systems.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1831-1840"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671233","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":"[Seasonal and Spatial Variation Characteristics of Surface Water Quality and Its Influencing Factors in Baiyangdian Lake].","authors":"Rong-Zhen Xu, Yu-Shan Wang, De-Chao Yin, Xu-Qing Wang","doi":"10.13227/j.hjkx.202401138","DOIUrl":"https://doi.org/10.13227/j.hjkx.202401138","url":null,"abstract":"<p><p>Baiyangdian Lake is the major ecological function area of Xiongan New Area. To reveal the surface water quality and its changing trends, seasonal changing trends, spatial changing characteristics, and influencing factors of the important indicators of the surface water,statistical description,ion diagrams,factor analysis, and other methods were comprehensively used to systematically study the surface water quality of Baiyangdian Lake. The results showed that the surface water quality of Baiyangdian Lake was gradually improving,and the water quality was mainly Class IV by 2020. COD,permanganate index,total nitrogen, and total phosphorus were key indicators that affected the water quality of Baiyangdian Lake. The spatial and temporal variation characteristics of these four key indicators were analyzed. The study of spatial change characteristics revealed that the content of oxygen-consuming substances that were difficult to be oxidized in the surface water was high,and the substances carried by the river entering Baiyangdian Lake directly affected the water quality near the entrance of the lake. The time variation characteristics indicated that under the background of ecological water replenishment,the concentration level of pollutants in surface water had significantly decreased, and the water quality had been significantly improved. The hydrochemical type of the surface water was mainly HCO₃-Na type. TDS and the main ion concentrations were higher in the south and lower in the north. The constant ion components mainly originated from the weathering and dissolution of silicate rocks；the trace water chemical components were affected by natural and man-made factors. The natural source was rock weathering. The man-made factors included atmospheric deposition,agricultural and industrial sources,and the superimposed impact of organic pollution. The research results can provide scientific support for the protection and restoration of Baiyangdian Lake ecology.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1382-1394"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671335","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 Variation of Dissolved Organic Matter and Its Biodegradability in Typical Algal Bay].","authors":"Yuan-Qiang Wu, Wei Jin, Ke Hua, Zi-Chen Cang, Xin Liu","doi":"10.13227/j.hjkx.202402012","DOIUrl":"https://doi.org/10.13227/j.hjkx.202402012","url":null,"abstract":"<p><p>The biodegradability of dissolved organic matter （DOM） is a crucial factor in assessing the carbon balance and ecosystem equilibrium of freshwater lakes. It is closely linked to regional hydrological characteristics and biochemical processes. Taking cyanobacterial bloom-dominated bays in Lake Taihu as the research object, combined with characterization by ultraviolet absorption, three-dimensional fluorescence spectroscopy, and bioassay experiments, this study analyzed the temporal and spatial variations of DOM concentration, structural composition, and biodegradable dissolved organic carbon （BDOC） during the rainy and bloom season and the dry and post-bloom season. The results showed that during the bloom season, the release of cyanobacterial-derived organic matter led to a significant increase in DOM concentration in Meiliang Bay and Gonghu Bay, which was mainly composed of protein components, such as tyrosine and tryptophan （&gt;70%） with a lower aromaticity （SUVA₂₅₄）, molecular weight, and humification degree （HIX）. In comparison, the DOM samples in Zhushan Bay had higher absorbance （SUVA₃₅₀）, SUVA₂₅₄, HIX, relative molecular mass, and content of humic substances, which was associated with stronger input of terrestrial humic substances during the rainy season. As a result, the average BDOC in Zhushan Bay was lower （31.6%） compared to those in the other two bays （38.8%）. With the decline of cyanobacterial bloom and the decrease of terrestrial input in the dry and post-bloom season, in-situ degradation significantly increased SUVA₂₅₄ and humic-like components while decreasing protein-like components in DOM. This resulted in a decrease in average BDOC to 28.1%. Partial least squares analysis further revealed that DOM optical indices could effectively predict BDOC （<i>R</i>²=0.81）, with fluorescence peaks T/C and <i>S</i>_R indices being the most effective positive predictive factors and SUVA₂₅₄ being the most effective negative predictive factor. These findings suggest that cyanobacterial blooms and in-situ degradation are crucial processes that affect the biodegradability of DOM in freshwater lakes and propose an alternative method for assessing BDOC.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1406-1416"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671339","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":"[Temporal and Spatial Heterogeneity and Its Influencing Factors of Carbon Surplus and Deficit at County-Level Areas in Shaanxi Province].","authors":"Yi-Meng Ding, Ling Han, Xin Huang","doi":"10.13227/j.hjkx.202401161","DOIUrl":"https://doi.org/10.13227/j.hjkx.202401161","url":null,"abstract":"<p><p>Carbon source and sink monitoring is an important prerequisite for realizing the dual-carbon target and the evolution of its spatial-temporal pattern and the spatial-temporal heterogeneity of the driving factors are the scientific basis for the implementation of the emission reduction and sink enhancement policy according to the local conditions, which is of great importance for the sustainable development of the region. Based on the carbon balance of payment relationship, the carbon surplus and deficit of Shaanxi Province counties were calculated in 2000, 2010, and 2020 from land use, and a series of exploratory spatial and temporal analysis methods （ESTDA）, including spatial autocorrelation, cold and hot spot analysis, standard deviation ellipse, and LISA-time pathway, were used to study the dynamics of carbon surplus and deficit in Shaanxi Province at different spatial-temporal scales. From the 21 indicators, six types of major driving factors were selected by principal component analysis, and the geographical spatio-temporal weighted regression model （GTWR） was used to identify their spatio-temporal heterogeneity to construct a comprehensive system of indicators to analyze the carbon deficit and its spatio-temporal heterogeneity in Shaanxi Province. The results showed that： ① A carbon surplus of 8.56 million tons in 2000, a carbon deficit of 3 296 tons in 2010, and a deficit of 33.34 million tons occurred in 2020 in Shaanxi Province, and the growth rate of carbon emissions was much larger than that of carbon sinks, which indicates that it was gradually moving towards carbon peaks in Shaanxi Province； however, there is a long way to go to achieve the goal of carbon neutrality. ② The geographical distribution of the \"north deficit and south surplus\" phenomenon was visually represented. A carbon deficit was concentrated in the wind and sand area along the Great Wall and Guanzhong plain. The spatial-temporal leap characteristics were more stable. In conclusion, efforts aimed at emission reduction and carbon sink enhancement were strategically directed towards the northern Shaanxi Region. ③ Among various indicator systems including urban construction, natural resources, anthropogenic activities, energy consumption, industrial development, and ecological protection indicator systems, only ecological protection positively drove carbon profit and deficit. Notably, natural resources had the strongest spatial and temporal heterogeneity in their impact on carbon deficit, and energy consumption was positively driven in some areas of Shaanxi Province. The results will provide accurate policy directions for the development of carbon neutral strategies in Shaanxi Province.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1502-1516"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671361","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":"[Identification of Ecological Restoration of Territorial Space Based on Ecosystem Degradation Risk and Ecological Security Pattern: A Case Study of the Chang-Zhu-Tan Metropolitan Area].","authors":"Rui Tian, Zhong-Qiu Zhao, Dong-Yang Song","doi":"10.13227/j.hjkx.202404061","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404061","url":null,"abstract":"<p><p>Ecological restoration of territorial space is an important measure to implement the concept of ecological civilization construction, and accurately identifying ecological restoration areas is a difficult point in carrying out the ecological restoration of territorial space. Taking the Chang-Zhu-Tan metropolitan area as the research area； we used methods and models, such as the water balance equation, InVEST model, and circuit theory； combining ecological degradation risk assessment with ecological security pattern construction； accurately identifying the ecological conservation area and ecological restoration area of the ecological source area, ecological corridor, and stepping stone； and proposed strategies for ecological protection and restoration of national land space. The results indicated that： ① The ecological degradation risk in the study area substantially showed a \"medium high and low weekly\" spatial pattern. ② A total of 74 ecological source areas were identified with a total area of 5 425.21 km², 170 ecological corridors with a total length of 1 608.26 km, and 78 stepping stones with a total area of 24.35 km². A source restoration area of 105.98 km², corridor restoration area of 643.25 km, and stepping stone restoration area of 16.59 km² were diagnosed. ③ We constructed an ecological network spatial pattern of \"one heart, one ring, and one barrier\" in the Chang-Zhu-Tan metropolitan area, including the green heart, ecological middle ring, and peripheral ecological barrier. ④ Based on the identification result of ecological restoration of territorial space and combined with the actual situation of the research area, differently oriented ecological protection and restoration measures have been proposed, and a collaborative cross regional restoration mechanism of \"governance-management-supervision-early warning\" was formed. The research results are helpful for the formulation and implementation of ecological restoration of territorial space plans and measures in the Chang-Zhu-Tan metropolitan area and can also provide scientific methods for ecological protection and restoration research in other similar areas.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1608-1620"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671096","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 Influencing Factors of PM_2.5-O₃ Composite Pollution in Henan Province].","authors":"Meng-Ke Wang, Le Cao, Li-Qiang Xu, Yu-Xi Wang, Hai-Jiang Kong, Meng-Meng Gao, Yang Qin, Kai Meng, Tian-Liang Zhao","doi":"10.13227/j.hjkx.202402090","DOIUrl":"https://doi.org/10.13227/j.hjkx.202402090","url":null,"abstract":"<p><p>The PM_2.5-O₃ composite pollution in Henan Province has notable impacts on the economy, society, and daily life of the region, exhibiting a more complex nature than single pollution. Therefore, this study utilized air quality data, ground-based meteorological data, boundary layer height, CO concentration, emission inventory, and other information from 17 cities in Henan Province to investigate the spatial-temporal distribution, formation causes, and influencing factors of PM_2.5-O₃ composite pollution from May 2014 to December 2023. The PSCF and CWT methods were used to identify possible source areas of composite pollution. The results showed that： ① Due to the government's control of PM_2.5 pollution and the impact of the epidemic, the PM_2.5-O₃ composite pollution events in Henan Province from 2014 to 2023 showed an overall downward trend, however, rebounded during the resumption of work and production after the epidemic in 2022. Before 2018, O₃ concentration was the major factor determining the occurrence of composite pollution due to severe PM_2.5 pollution. After 2018, the decrease in PM_2.5 concentration increased its importance, especially the decrease in PM_2.5 concentration from May to September in Henan Province, which was the primary reason for the reduction in composite pollution frequency in recent years. ② The monthly distribution of composite pollution showed a bimodal pattern, with peaks in April and October, corresponding to two periods when O₃ increased while PM_2.5 decreased and O₃ decreased while PM_2.5 increased, respectively, whereas the rainy season in July and August had a mitigating effect on composite pollution. ③ The severity of composite pollution in Henan Province was in the order of north &gt; central &gt; south and the topography also had a certain impact on the severity of composite pollution. ④ The meteorological conditions during the occurrence of composite pollution were moderate temperature, specific humidity, and CO concentration between PM_2.5 pollution and O₃ pollution, with low wind speed and low boundary layer height. ⑤ During the period of compound pollution in Henan Province, in addition to the transportation of pollutants from cities inside the province, especially the eastern and northern parts of the province, the eastern area （Anhui Province） and northeastern area （Shandong Province） to Henan Province were the major source areas of pollutants. Emissions from the source area, combined with emissions from cities inside Henan Province, were important causes for the PM_2.5-O₃ pollution during this period.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1285-1301"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671089","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":"[Pollution and Carbon Emission Reduction and Synergistic Pathways in the Operation Phase of Sponge City Source Control Facilities].","authors":"Si-Yuan Peng, Hong-Tao Zhao, Hua Chai","doi":"10.13227/j.hjkx.202403119","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403119","url":null,"abstract":"<p><p>China is currently at a crucial stage of systematically advancing the construction of sponge cities and completely implementing the \"synergetic enhancement of pollution and carbon emission reduction.\" The pollution and carbon emission reduction benefits during the operational phase of sponge source control facilities, as well as the synergistic path must be crucially understood scientifically. Taking 30 sponge city construction projects in Wuxi, Jiangsu Province as examples, we analyzed the pollution and carbon emission reduction benefits, construction costs, and determined the synergistic relationship among them during the operational phase. Additionally, we proposed a synergistic path among the three by utilizing a constrained NSGA-Ⅱ multi-objective optimization algorithm. The results showed differences in the pollutant and carbon reduction capacity and the composition of carbon reduction capacity （carbon sequestration by vegetation, carbon storage by runoff, and carbon reduction by pollution reduction） of sponge source control facilities （infiltration rain gardens, drainage rain gardens, undercrofts, planted swales, and permeable pavement）. Therefore, the ratio of the underlying surface area of the sponge source control facilities influenced the pollutant and carbon emission reduction benefits and costs of the project； however, a marginal effect was observed, which was mainly reflected in the permeable pavement to the pollution reduction benefits of the project （<i>R</i>²=0.423 9）. The synergy between the pollution reduction benefit and carbon emission reduction benefit of sponge projects was weak, in which the pollution reduction benefit had a trend of increasing marginal cost for the pollution reduction benefit （<i>R</i>²=0.784 4）, whereas the carbon emission reduction benefit was linearly correlated with the construction cost （<i>R</i>²=0.544 7）. Furthermore, a multi-objective optimization algorithm was employed to propose a series of distinct combinations of sponge source control facilities, each optimized for a distinct set of objectives. The results elucidate the pollution and carbon emission reduction benefits and synergistic optimization path of sponge source facilities in the operation phase, which can provide scientific basis for achieving the goal of \"pollution and carbon emission reduction, greening, and growth\" and maximizing ecological value.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1548-1557"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671323","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":"[Accumulation and Clearance of Polystyrene Microplastics in Brine Shrimp and the Responses of Microbiome and Metabolism].","authors":"Zhen-Hua Yan, Xiao Cheng, Tian-Hao Hu, Qi-Han Zhong","doi":"10.13227/j.hjkx.202403163","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403163","url":null,"abstract":"<p><p>To investigate the accumulation kinetics of microplastics （MPs） with different characteristics in zooplankton and the related biological effects, the accumulation and clearance of polystyrene microplastics （PS-MPs） with different concentrations and particle sizes in brine shrimp （<i>Artemia</i><i>saline</i>） were analyzed under different nutritional conditions. The responses of microbial communities and metabolic functions in brine shrimp were revealed using the combination methods of microbiome and metabolome. The results showed that the accumulation and clearance rate of PS-MPs in brine shrimp increased with the increase in exposure concentrations, showing a concentration-dependent manner. On the contrary, the accumulation and clearance of PS-MPs in brine shrimp were negatively correlated with their particle sizes. The nutritional condition did not alter the accumulation kinetics of PS-MPs in brine shrimp, indicating that short-term feeding may have had no effect on the uptake and clearance of PS-MPs in brine shrimp. Compared to that in the control, exposure to PS-MPs significantly enhanced the diversity of the microbial community in brine shrimp. The proportions of Proteobacteria and <i>Acinetobacter</i> were increased by 0.4 folds and 12.3 folds, respectively, whereas the proportions of Firmicutes and <i>Bacillus</i> were decreased by 43% and 86%, respectively. This finding indicates that PS-MPs may have caused an imbalance of the bacterial community in brine shrimp by inhibiting the beneficial bacteria and stimulating the harmful bacteria, thus disrupting the metabolic function in brine shrimp. In addition, exposure to PS-MPs resulted in a production of 2 311 different metabolites in brine shrimp and mainly disrupted the pyrimidine metabolism and the biosynthesis of dermal sulfate/chondroitin sulfate in brine shrimp, leading to toxicity in the shrimp. The accumulation and biological effects of MPs with different characteristics in zooplankton may further affect the stability of aquatic systems, leading to unpredictable ecological risks.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1841-1849"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671111","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":"[Spatio-temporal Variation of Landuse Carbon Budget and Carbon Compensation Zoning at County Level in Henan Province].","authors":"Wen-Ping Deng, Wen-Bo Zhu, Zhe Zhang, Hai-Feng Li, Jia-Ning Hu, Jing-Ya Fu","doi":"10.13227/j.hjkx.202403231","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403231","url":null,"abstract":"&lt;p&gt;&lt;p&gt;As an important province in China with a large population, agriculture, industry, and energy consumption, Henan Province is in a period of attack and opportunity for low-carbon transformation of its economy and optimization of its energy structure, and carrying out a study on the assessment of carbon budget and carbon compensation at the county level, to promote the coordinated development of a low-carbon economy in central China and to realize China's vision of carbon neutrality by 2060, is important. The study selected 123 county-level units in Henan Province as the research object, based on the land use data of Henan Province from 2000 to 2020, constructed the carbon balance estimation model and measured the horizontal compensation standard with the help of the modified carbon compensation model, studied the spatio-temporal pattern of carbon balance and carbon compensation zoning of Henan Province under the perspective of the main functional area, and put forward the regional development strategy guided by the development of low-carbon economy. The research results demonstrated that： ① From 2000 to 2020, the total amount of carbon emissions from land use in Henan Province first increased and then decreased, with the peak in 2015, and the construction land was the major source of carbon. The amount of carbon absorption continued to grow steadily, and arable land and forest land were the major carriers of carbon sinks. The carbon budget showed significant spatial and temporal characteristics； carbon absorption showed a spatial pattern of \"high in the west and low in the east, high in the south and low in the north；\" and carbon emissions were spatially characterized by \"a concentration of high values in the center and the north and a scattering of low values towards the outside.\" ② Henan Province exhibited similar spatial patterns in carbon intensity and net emissions, with high values in the central and northern regions tapering off outwards. From 2000 to 2020, carbon emission intensity ranked as follows： national key development zones （1.09） &gt; provincial key areas （0.93） &gt; agricultural areas （0.83） &gt; provincial ecological zones （0.70） &gt; national ecological zones （0.47）. For net carbon emissions, the order was （×10&lt;sup&gt;4&lt;/sup&gt; t）： national key zones （165.94） &gt; provincial key areas （52.55） &gt; agricultural areas （-35.52） &gt; provincial ecological zones （-47.11） &gt; national ecological zones （-60.93）. Conversely, carbon compensation rates（%） were highest in provincial ecological zones （821）, followed by those in national ecological zones （773）, agricultural areas （412）, provincial key areas （198）, and lowest in national key zones （11）. ③ Carbon compensation varied significantly across 123 counties in Henan Province, with a total carbon payment of 9 207.09×10&lt;sup&gt;4&lt;/sup&gt; yuan and offset of 4 819.29×10&lt;sup&gt;4&lt;/sup&gt; yuan in 2020. A total of 45 payment zones and 78 compensation zones were identified, including 20 heavy payment z","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1517-1534"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671286","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":"[Network Structural Characteristics of Urban Green Innovation of China and Its Impact on Carbon Emissions].","authors":"Hui-Ping Wang, Pei-Ling Liu","doi":"10.13227/j.hjkx.202402005","DOIUrl":"https://doi.org/10.13227/j.hjkx.202402005","url":null,"abstract":"<p><p>Based on the social network analysis method, panel data from 254 cities in China spanning from 2006 to 2019 was utilized. A green innovation network was established using a modified gravity model, which described the overall and individual characteristics of the network. It also analyzed the impact utility and mechanisms of centrality features within the network on carbon emissions. The conclusions showed that： ① From 2006 to 2019, the green innovation level of 254 cities in China presented obvious spatial correlation network characteristics. The overall structure of the network was relatively stable, with a steady increase in the number of related relationships and the overall network density value showing an upward trend. The eastern cities represented by Shenzhen, Suzhou, and Wuxi occupied a central position in the green innovation network. ② The improvement of the central location of the urban network had significantly exacerbated carbon emissions, and this impact had certain heterogeneity in different geographical locations and city sizes. Among them, the improvement of the network center position in the northeast, eastern, and western regions had exacerbated carbon emissions, whereas the impact in the central region was not significant. In large cities, the increase in network center location exacerbated carbon emissions； however, it was not significant in small and medium-sized cities. ③ The mesomeric effect showed that the promotion of the network center location could promote carbon emissions through energy consumption.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1450-1461"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671319","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}