环境科学最新文献

{"title":"[Structure and Metabolic Function Characteristics of Soil Bacterial Communities under Different Vegetation Types in Arid Region].","authors":"Fang-Jiao An, Zi-Ru Niu, Ting-Na Liu, Yong-Zhong Su","doi":"10.13227/j.hjkx.202407230","DOIUrl":"10.13227/j.hjkx.202407230","url":null,"abstract":"<p><p>The aim of this study was to explore the effects of different vegetation types on soil bacterial community structure and metabolic function in an oasis-desert ecotone and provide scientific theoretical basis for species allocation and management of vegetation reconstruction in arid desert ecosystem. <i>Nitraria sphaerocarpa</i> Maxim and <i>Calligonum mongolicum</i> Turcz are the main natural vegetation, <i>Haloxylon ammodendron</i> Bunge, and <i>Hedysarum scoparium</i> Fisch are the primary artificial vegetation, and Ha-Cm are the main mixed community in an oasis-desert ecotone in northwest China. Understanding soil microbial community structure and function under typical vegetation types is crucial for accurate management and sustainable use of desert vegetation. We used high-throughput sequencing technology to explore the effects of different vegetation types on the structure, diversity, and metabolic pathways of soil bacteria and to investigate the key factors driving the change of soil bacterial community structure. The results showed that the growth of artificial vegetation and natural vegetation significantly increased the richness and diversity of the soil bacterial community, but no significant difference was observed. Metagenomic analysis showed that the same dominant bacterial phyla existed in all soils, but the proportions were different. Actinobacteriota, Proteobacteria, and Chloroflexi were the absolute dominant bacterial phyla, accounting for 65.12%-78.68% of the total bacteria. Principal co-ordinates analysis showed significant differences in soil bacterial community structure in the planted forest but similarities in the natural forest. The metabolic pathways of soil bacteria in different vegetation communities were similar. Soil organic carbon （SOC）, available phosphorus （AP）, and pH were important abiotic factors affecting the functional structure of bacteria. The findings are helpful for furthering the understanding of plant-soil interaction in ecologically fragile deserts.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5360-5368"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856634","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 Polylactic Acid Microplastics （PLA-MPs） on Physicochemical Properties and Microbial Communities of Wheat Rhizosphere Soil].","authors":"Yan Zhang, Ming Dou, Song-Ze Hao, Ping Li, Yu-Ze Zhou, Zhi-Jie Liang","doi":"10.13227/j.hjkx.202407139","DOIUrl":"10.13227/j.hjkx.202407139","url":null,"abstract":"<p><p>Microplastics, as a new type of pollutant, have significant effects on the soil ecological environment. In order to investigate the effects of polylactic acid microplastics （PLA-MPs） on the physical and chemical properties of wheat rhizosphere soil and its microbial community structure, three contents （0.1, 0.5, and 1 g·kg^-1） and particle sizes （150, 1000, and 4000 μm） were set up for pot experiments. The results showed that the addition of PLA-MPs significantly increased the contents of ammonium nitrogen （NH₄⁺）, nitrate nitrogen （NO₃^-）, total phosphorus （TP）, and organic matter （OM） in rhizosphere soil and decreased the content of total nitrogen （TN） and pH value. For example, TP increased 19.046% and 21.075% at medium contents （0.5 g·kg^-1） and medium particle size （1 000 μm）, respectively. Compared with those of the control group （CK）, the richness and diversity of rhizosphere soil microorganisms were significantly decreased, and the decreases were greatest at high contents （1 g·kg^-1） and high particle size （4 000 μm）, respectively. The addition of PLA-MPs significantly increased the relative abundance of Actinobacteriota and Proteobacteria, while decreasing the relative abundance of Firmicutes, Gemmatimonadota, Myxococcota, and Bdellovibrionota. For example, the relative abundance of Actinobacteriota increased by 5.554% and 6.456% at medium contents （0.5 g·kg^-1） and low particle size （150 μm）, and the relative abundance of Firmicutes decreased by 2.721% and 3.727% at high contents （1 g·kg^-1） and low particle size （150 μm）, respectively. Compared with CK, PLA-MPs with different contents and particle sizes significantly reduced the number of biomarkers, and the reduction of biomarkers under low content （0.1 g·kg^-1） and medium particle size （1 000 μm） was the largest. A significant negative correlation was observed between pH and the dominant microorganisms at the phylum level and genus level of the microbial community and a significant positive correlation between NO₃^- and Bacillus, Firmicutes, and Gemmatimonadota at the <i>P</i> &lt; 0.001 level. The research results can provide certain data and theoretical basis for evaluating the effects of PLA-MPs on the soil microbial environment.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5345-5359"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856575","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 Characteristics, Source Analysis, and Health Risk Assessment of Heavy Metals of Soil in a Certain Coal Mining Area of Western Jiangxi Province].","authors":"Fen Hu, Lie Jiang, Qiao-Hong Chen, Bao-Nan He","doi":"10.13227/j.hjkx.202405215","DOIUrl":"10.13227/j.hjkx.202405215","url":null,"abstract":"<p><p>To explore the pollution characteristics, sources, and possible human health risks of soil heavy metals in a coal mine concentration area near western Jiangxi. The Nemerow index method was used to evaluate the characteristics of soil heavy metal pollution in the study area, the correlation of soil heavy metal pollution characteristics was described based on a self-organizing neural network （SOM）, the PMF model was used to trace the soil heavy metal pollution, and the exposure risk model established by EPA was used for health risk assessment. The results showed that the average content of heavy metals in the six soils ranged from 0.25 to 47.47 mg·kg^-1, which were all higher than the soil environmental background value in Jiangxi Province. Only the mean Cd content was higher than the risk screening value in GB15618-2018, and all heavy metal coefficients of variation were relatively high. The Nemerow pollution assessment indicated that the soil around the study area was severely polluted by heavy metals, especially As, Hg, and Cd as typical representatives. SOM-K clustering showed that Cu, Ni, and Cd had good correlation； Cu, As, and Hg had strong correlation； and Pb had obvious differences with other elements. The health risk assessment showed that the hand-mouth ingestion was the main exposure route of heavy metals in soil in the study area. Children in the study area had non-carcinogenic and carcinogenic health risks, while adults had carcinogenic health risks, and children were more exposed to health risks than adults. The comprehensive non-carcinogenic risk indexes （HI） for children and adults were 1.52E+00 and 2.41E-01, respectively. Additionally, the comprehensive carcinogenic risk index （TCR） for children and adults was 4.48E-05 and 2.85E-05, respectively. As was the main contribution index of health risk in the study area. The source analysis showed that the heavy metal sources in the soil of the study area were influenced by industrial dust fall sources, natural sources, coal pollution sources, transportation sources, and agricultural production sources, and their contribution rates were 25.62%, 22.00%, 17.88%, 17.84%, and 16.66%, respectively. It was mainly affected by human factors, which was consistent with the result of the high variation coefficient of soil heavy metals in the study area. The research results can provide theoretical basis for the prevention and control of heavy metal pollution in the soil of the study area.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5237-5248"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856607","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 Assessment and Risk Area Delineation of Potential Toxic Elements in Cultivated Soils in Wujiang River Watershed of Guizhou Province Based on Bayesian Maximum Entropy Theory].","authors":"Ren-Zhi Xu, Zi-Han Zhou, Chen-Run Wu, Yan-Ling Huang, Bo Song","doi":"10.13227/j.hjkx.202407215","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407215","url":null,"abstract":"<p><p>The assessment of the extent of contamination of potentially toxic elements （PTE） in arable soils and the delineation of high-risk zones are crucial steps in the development of effective prevention and control strategies. A large-scale investigation of soil PTE contents in farmland （cornfields and rice fields） in the Wujiang River Basin, Guizhou Province was conducted to explore the contamination degrees and risk area distribution through the influence index of the comprehensive quality of soil （IICQs） and Bayesian maximum entropy （BME） theory. The results showed that the concentrations of As, Cd, and Cu in corn soil and the concentrations of Cd, Hg, and Cu in paddy soil exceeded the risk screening values in 29.93%, 47.32%, 19.9%, 25.65%, 65.5%, and 16.34% of the samples, respectively. The concentration of PTE in soil exhibited a strong/moderate variation. The assessment of IICQs demonstrated that approximately 74.85% of the samples exhibited varying degrees of exceedance, with 33.42% of the polluted samples originating from Bijie City. Overall, the IICQs showed a clear downward trend from west to east along the flow direction of the Wujiang River Basin. According to BME theory, the area of PTE contamination risk area was 68.63% of the study area. Among them, 2.95%, 4.23%, and 8.32% of the risk area were at 95%, 90%, and 75% confidence levels, respectively. These areas were distributed in Hezhang County, Zhijin County, and Qianxi County of Bijie City and a small part of southern Zunyi City and central Guiyang City. The primary factors influencing the concentration of PTE in agricultural soil were the activities associated with metal mining and smelting. The results of the study provide a reasonable classification system and suggestions for the prevention and control of PTE pollution in farmland soils in the Wujiang River Basin of Guizhou Province.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5249-5259"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856606","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":"[Adsorption Characteristics of Phosphate in an Aqueous Solution by Swine Manure Biochar].","authors":"Qin Li, Cong Zhan, Shuang-Lin Gui, Tong-Hui Deng, Zhuo Jia","doi":"10.13227/j.hjkx.202406197","DOIUrl":"10.13227/j.hjkx.202406197","url":null,"abstract":"<p><p>To solve the problem of phosphate pollution in water and achieve the resource utilization of livestock and poultry manure biomass, swine manure was selected as the raw material to prepare biochar. The composition and structure of SMBC700 were characterized using elemental analysis, specific surface area analysis, and FTIR. The adsorption isotherm model and adsorption kinetics model were used to fit the phosphate adsorption characteristics of swine manure biochar, and the effects of pyrolysis temperature, biochar dosing, initial solution pH, and coexisting ions on phosphate adsorption by biochar were studied. The conditions affecting phosphate adsorption were optimized by response surface methodology （RSM）. The results showed that only SMBC700 could adsorb phosphate. The phosphate adsorption capacity of SMBC700 reached 6.127 1 mg·g^-1 at a SMBC700 dosage of 2 g·L^-1 and the initial phosphate concentration of 20 mg·L^-1. The adsorption isotherm and kinetics were better fitted by the Langmuir isotherm model and the pseudo second-order kinetics. SMBC700 exhibited an excellent performance for phosphate adsorption over a wide pH range （3-12）. The coexistence of HCO₃^- could significantly weaken the adsorption capacity of SMBC700 to phosphate. The optimum conditions for phosphate adsorption by SMBC700 were obtained by RSM analysis with a dosage of 3 g·L^-1, an initial phosphate concentration of 30 mg·L^-1, and a pH of 7.0. The possible mechanisms of phosphate adsorption by SMBC700 included electrostatic adsorption, ligand exchange, and pore filling.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5379-5390"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856595","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":"[Characterization of PM_2.5-O₃ Complex Pollution and Influencing Factors in Beijing-Tianjin-Hebei Region from 2015 to 2022].","authors":"Jia-Yi Liu, Yi-Fan Xu, Cai-Xian Huang, Run Liu","doi":"10.13227/j.hjkx.202407125","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407125","url":null,"abstract":"<p><p>Based on hourly concentration data of PM_2.5 and ozone （O₃） from 2015 to 2022, as well as meteorological reanalysis data, this study categorized complex pollution days into light, moderate, and severe based on PM_2.5 concentration in the presence of O₃ pollution. It examined the temporal evolution and meteorological characteristics of different levels of complex pollution in the Beijing-Tianjin-Hebei （BTH） Region. The results indicated that the number of light, moderate, and severe complex pollution days were 149, 120, and 52, respectively, primarily concentrated in April and June. Changes in meteorological factors can affect pollutant concentrations, similar to O₃ formation conditions, high temperatures, strong solar radiation, and low humidity-facilitated complex pollution as well. Additionally, extensive and intense downdrafts further exacerbated complex pollution. The ventilation coefficient for severe complex pollution was higher than that for moderate pollution, suggesting that the transportation of pollutants may be a key factor in exacerbating complex pollution. The intensification of complex pollution was accompanied by a substantial increase in the contrabution rate of secondary PM_2.5.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"4993-4999"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856572","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":"[Estimation of Terminal CO₂ Emission Reduction Potential in Shaanxi Province Based on LMDI and System Dynamics].","authors":"Lie-Long Zheng, Qiang Zhang, Fang-She Yang, Xing-Yun Zhao, Jia-Xin Luo, Zhi-Hui Shi, Tin-Tin Fan, Guo-Qin Lei, Xu-Peng Jiang","doi":"10.13227/j.hjkx.202407100","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407100","url":null,"abstract":"<p><p>The extended logarithmic mean Dee's index （LMDI） model and system dynamics （SD） model were used to explore the influencing factors of CO₂ emissions in Shaanxi Province from 2007 to 2021 and to predict the emission reduction potential of Shaanxi Province from 2022 to 2035. The results showed that： ① The CO₂ emissions in Shaanxi Province increased from 103.14 Mt in 2007 to 336.87 Mt in 2021, with an average annual growth rate of 7.14%, and the carbon intensity of various sectors generally showed a downward trend. ② In the LMDI decomposition results, the growth of per capita GDP had the greatest promoting effect on CO₂ emissions, followed by that of energy structure and civilian vehicle ownership. Energy intensity had the greatest inhibitory effect on CO₂ emissions, followed by that of industrial structure, residents' energy intensity, and average vehicle output value. ③ Under the baseline scenario, CO₂ emissions in Shaanxi Province will continue to grow until 2035, and its emissions will be 1.75 times that of 2021. ④ Under comprehensive emission reduction measures, the region could achieve carbon emission peak in 2030. Under the baseline scenario, the carbon intensity of Shaanxi Province in 2030 will be reduced by 71.67% compared with that in 2007. ⑤ Among the single emission reduction policies, the economic scale scenario was the most effective, followed by the structural optimization scenario. In addition, the energy intensity optimization and new energy vehicle scenarios have less potential. This study provides effective data support for Shaanxi Province to formulate low-carbon policies, promote carbon emission reduction, and achieve carbon emission peak as soon as possible.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"4934-4946"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856578","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 Chemical Fertilizer and Organic Material Application on Soil Organic Carbon Fractions in Black Soils of Northeast China: A Meta-analysis].","authors":"Ze-Mao Zhang, Lei Wu, Tian-Yu Gao, Tian-Hong Liu, Cong Wang, Ming-Gang Xu, Wen-Ju Zhang","doi":"10.13227/j.hjkx.202407132","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407132","url":null,"abstract":"<p><p>As an important agricultural management practice, fertilization affects the accumulation and stabilization of SOC fractions by influencing the amounts of carbon inputs and outputs. Exploring the effects of different fertilizer types on the SOC content and its main controlling factors could provide a scientific basis for rational fertilization, efficient utilization of organic materials, and SOC content and fertility improvement in the black soil region of Northeast China. This study collected a total of 1 628 observations regarding the effects of chemical fertilizer and organic materials （including organic fertilizer and straw） application on SOC fractions in the black soil region of Northeast China from 228 papers published during 1991 to 2024. A meta-analysis was used to investigate the effects of chemical fertilizer and organic materials application on SOC, dissolved organic carbon （DOC）, particulate organic carbon （POC）, readily oxidizable organic carbon （ROC）, and microbial biomass carbon （MBC） contents. The results showed that： ① The application of chemical fertilizer and organic materials significantly increased the contents of SOC （5%-18%, referring to the range of increase, the same below）, DOC （11%-64%）, POC （30%-141%）, ROC （19%-139%）, and MBC （16%-50%）. The increases in SOC fractions were highest under the manure amendment treatment, with increased SOC content 8% higher than that under straw return and 13% higher than that under the chemical fertilizer treatment. ② The increase in SOC was significantly positively correlated with the fertilizer application duration and the amounts of applied organic fertilizer and significantly negatively correlated with the amounts of straw return, but no correlation was observed with the amounts of applied nitrogen fertilizer. ③ The magnitude of SOC response to fertilization was regulated by annual average temperature and initial soil properties （including pH and SOC）. The fertilization-induced increase in SOC was significantly positively correlated with annual average temperature and initial pH and negatively correlated with initial SOC content. The main factor affecting fertilization-induced SOC changes was initial SOC content under the chemical fertilizer and straw return treatments, while annual average temperature was the key factor under the manure fertilizer treatment. In conclusion, the type and amount of fertilizer, climate conditions, and soil properties should be comprehensively considered to optimize fertilization, so as to increase SOC component fractions as well as improve soil fertility levels in the black soil region of Northeast China.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"4947-4960"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856604","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":"[Characterization and Risk Assessment of VOCs Emissions from Typical Industries in Jiangxi Province].","authors":"Zhong-Hua Zhu, Qin-Kai Li, Xiang Tu","doi":"10.13227/j.hjkx.202406185","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406185","url":null,"abstract":"<p><p>The study further clarified and compared the source emission characteristics of VOCs from different industries by sampling VOCs from a total of 65 enterprises with organized and unorganized emissions from seven typical industries in Jiangxi Province offline and analyzing their components and species by gas chromatography-mass spectrometry （GC-MS）. Meanwhile, the generation potentials of organized and unorganized emissions from different industries for atmospheric ozone and SOA were estimated based on the concentrations of key species of VOCs, and the potential carcinogenic and non-carcinogenic risks of the VOCs species emitted from each industry were evaluated. The results showed significant differences in VOCs emissions from different industries, with relatively low organized and unorganized VOCs emissions from the automobile manufacturing and printing industries, whereas the emissions from the furniture manufacturing industry were significantly higher. Alkanes and OVOCs accounted for a relatively high percentage of the organized emissions in each industry, while aromatics and OVOCs accounted for a relatively high percentage of the unorganized emissions. In addition, the results of ozone formation potential （OFP） calculations showed that the OFPs of the organic chemical industry, plastic products industry, and furniture manufacturing industry were higher, mainly contributed by OVOCs and aromatic hydrocarbons. The secondary organic aerosol （SOA） generation potential of the furniture manufacturing industry was higher than that of the other industries, with benzene as the main contributing species. In the human health risk assessment, acetaldehyde was found to be a high carcinogenic risk substance in all industries, with its most prominent carcinogenic risk in the plastics industry （risk value as high as 3.05×10^-5） and a significant non-carcinogenic risk for acrolein in the pharmaceutical manufacturing industry （HI value as high as 18.96）. Jiangxi Province should focus on olefins, aromatics, and OVOCs emitted by the organic chemical, pharmaceutical manufacturing, plastic products, and furniture manufacturing industries in terms of synergistic control of PM_2.5 and O₃. Additionally, in terms of reducing the impacts on human health, the control of unorganized OVOCs emissions from the furniture manufacturing, plastic products, and organic chemical industries should be strengthened.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5035-5044"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856571","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 Soil Erosion Under Different Land Use Change Scenarios in Kuye River Basin Based on PLUS-CSLE Model].","authors":"Yu-Chi Chen, Yuan He, Ahmd Ehab Talat, Jian Wang, Ze-Kang Cai","doi":"10.13227/j.hjkx.202406130","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406130","url":null,"abstract":"<p><p>The distribution of land use types is a comprehensive reflection of natural conditions and human activities, which affects the process of runoff and sediment transport by changing the surface morphology, and then affects the process of soil erosion. Based on the land use data in the Kuye River Basin from 2010 to 2020, this study uses the PLUS model to predict the land use distribution in 2025 under three scenarios and evaluates the soil erosion intensity from 2010 to 2025 on CSLE model, so as to explore the impact of land use change on soil erosion. The results showed that： ① From 2010 to 2020, the land use distribution in the Kuye River Basin was dominated by grassland and farmland. The area of farmland and grassland decreased, while the construction land and unused land increased. The expansion of farmland and grassland was mainly affected by elevation, rainfall, and population, and the expansion of construction land was mainly because of human activities. ② The soil erosion intensities in 2010, 2015, and 2020 were 25.91, 22.82, and 27.58 t·（hm²·a）^-1, respectively, showing a trend of first weakening and then rebounding. ③ The soil erosion intensities under the simulated natural development, ecological protection, and economic growth scenarios in 2025 were 25.62, 24.60, and 27.41 t·（hm²·a）^-1. The ecological protection scenario was better for controlling the soil erosion. ④ The areas with the most soil erosion in the basin were mainly the grassland and farmland in the loess gully in the central and southern parts, as well as the degraded land around some industrial/mining concentration parts. To effectively reduce the soil erosion, increasing forest and grassland while reducing the farmland and industrial/mining zones is suggested. Notably, focus should be on bolstering the upkeep and preserving terraced farmlands.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"4971-4981"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856596","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}