工业工程最新文献

{"title":"[Review of Multifactorial Interaction Mechanisms of Environmental Behavior of Antibiotics in Soil].","authors":"Pei-Wen Zhang, Si-Min Li, Yuan-Qing Bu, Rong Zhou, Hou-Hu Zhang","doi":"10.13227/j.hjkx.202507148","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507148","url":null,"abstract":"<p><p>The extensive use of antibiotics in agriculture， animal husbandry， and healthcare has resulted in their persistent accumulation in soils， threatening ecosystems and public health through food chain transmission and the dissemination of antibiotic resistance genes. The environmental risks associated with antibiotics are largely determined by their transport behaviors， which are jointly regulated by physicochemical conditions and microbial processes. However， most existing studies focus on individual factors， and systematic understanding of their interactions remains limited， constraining accurate prediction of antibiotic fate and effective risk management. This review synthesizes current knowledge on the major factors governing antibiotic transport in soils and their interdependencies， highlighting several key mechanisms. Initial retention is primarily controlled by adsorption to soil minerals and organic matter. Environmental variables such as pH， ionic strength， and redox potential influence transport pathways by modulating adsorption-desorption equilibria. Colloidal particles act as both sorbents and mobile carriers， while microbial degradation reduces parent compound persistence but may simultaneously enhance mobility through the production of polar metabolites. A landfill soil-leachate system is further presented as a representative scenario to illustrate the coupled \"physicochemical initiation-colloid mediation-microbial feedback\" cascade， thereby providing a conceptual basis for understanding multi-factor interactions in complex environments. In addition， most current findings are derived from simplified laboratory experiments， which limits their applicability to real-world conditions. Future research should emphasize multi-scale， in situ investigations and incorporate multi-media modeling frameworks to unravel interactive mechanisms， refine risk assessment， and guide mitigation strategies for antibiotic contamination.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6579-6588"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149013005","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":"[Tolerance Screening and Critical Response Mechanisms of Wetland Plants to Sulfonamide Antibiotics].","authors":"Yan-Qin Peng, Yi-Ping Tai, Jia-Xi Wang, Yu-Fen Yang, Wei-Feng Ruan, Yang Yang, Yu-Long Bai, Xiao-Meng Zhang","doi":"10.13227/j.hjkx.202506038","DOIUrl":"https://doi.org/10.13227/j.hjkx.202506038","url":null,"abstract":"<p><p>Antibiotic contamination in aquacultural wastewater challenges constructed wetland efficacy， necessitating the identification of highly tolerant wetland plant species. Ten dominant wetland plant species in South China were exposed to sulfonamide antibiotics （SAs） at concentrations of 50-5 000 μg·L^-1. Growth-morphological adaptations （root number， length， biomass， etc.） and physiological-biochemical responses [chlorophyll content， radial oxygen loss （ROL）， root-secreted TOC/DIC， etc.] were quantified. Tolerance was comprehensively evaluated using principal component analysis （PCA） coupled with a membership function method. The results indicated that high concentrations of SAs （5 000 μg·L^-1） significantly inhibited root development （<i>P</i><0.05）， with root dry weight （inhibition rate of 75.7%， same below）， root number （76.1%）， maximum root length （60.9%）， and root porosity （52.2%） identified as sensitive indicators. Synergistic suppression of photosynthesis and ROL occurred： Chlorophyll content decreased by 6.3%-61.9% and ROL by 3.7%-86.4%， while root carbon release increased markedly （TOC by 12.19-fold， DIC by 2.03-fold） （<i>P</i><0.05）. PCA combined with the membership function method identified root number， root dry weight， chlorophyll content， and TOC secretion as key tolerance indicators. <i>Cyperus papyrus</i> （<i>D</i>=0.781） and <i>Alisma plantago-aquatica</i> （<i>D</i>=0.650） demonstrated optimal comprehensive tolerance. Cyperus papyrus emerged as a critical stress-tolerant species for SA-polluted wetland remediation， maintaining photosynthetic homeostasis （chlorophyll increase up to 21.4% at high concentrations）， high ROL capacity （RI>0.97）， and carbon metabolic plasticity （12.19-fold TOC elevation）.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6589-6598"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149013027","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":"[Biochar Remediation of Plastic-cadmium Co-contaminated Soil and Its Effect on <i>Amaranthus mangostanus</i> L. Growth].","authors":"Yan-Xiao Cao, Jiang-Xiu Yang, Nuo Chen, Xin-Yu Xu, Jun-Feng Wu, Hong-Hu Li, Jing-Tao Hou, Jing-Dong Zhang","doi":"10.13227/j.hjkx.202504290","DOIUrl":"https://doi.org/10.13227/j.hjkx.202504290","url":null,"abstract":"<p><p>A pot experiment was conducted to investigate the effects of biochar on soil properties， cadmium （Cd） bioavailability， and amaranth （<i>Amaranthus mangostanus</i> L.） growth in soils co-contaminated with polypropylene （PP） plastics and Cd， across varying PP dosages （0.1% and 1%） and particle sizes. The results indicated that in low-dose （0.1%） plastic-Cd co-contaminated soil， biochar significantly increased soil cation exchange capacity， ammonium nitrogen， and available phosphorus by 4.14%-22.75%， 92.82%-130.57%， and 2.86%-18.91%， respectively. In contrast， in high-dose （1%） plastic-Cd co-contaminated soil， greater increases in soil pH and dissolved organic carbon content were observed. Biochar reduced the available Cd content， amaranth Cd content， and the Cd enrichment factor of amaranth in low-dose plastic-Cd co-contaminated soil by 10.29%-23.35%， 4.40%-39.06%， and 10.92%-34.45%， respectively， primarily through physical adsorption and chemical passivation. However， in the high-dose plastic-Cd co-contaminated soil， biochar unexpectedly promoted Cd uptake by amaranth， with greater Cd accumulation observed under smaller plastic particle sizes. Furthermore， biochar significantly increased amaranth biomass and antioxidant enzyme activity， exhibiting more pronounced effects under conditions of low-dose and large-size plastic contamination. Redundancy analysis and partial least squares path modeling revealed that biochar alleviated co-contamination stress by adsorbing and immobilizing Cd， improving soil physicochemical properties and nutrient availability， suppressing the plastic-heavy metal synergistic effect， and activating the plant antioxidant defence system. In conclusion， rice husk biochar significantly improved soil physicochemical properties， reduced Cd bioavailability， and promoted plant growth in low-dose plastic-Cd co-contaminated soil. For high-dose plastic-Cd contamination， a combined strategy of biochar with phytoremediation is required to enhance Cd immobilization.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6467-6478"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149013040","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":"[Evolution and Multi-scenario Simulation Prediction of Habitat Quality of Production Living Ecological Spaces in the Heihe River Basin Based on the FLUS-InVEST Model].","authors":"Hong-Kui Yang, Ye Li, Yu-Xin Ma, Wan-Qiang Qi, Ming-Xin Yang, Li-Peng Ou","doi":"10.13227/j.hjkx.202508108","DOIUrl":"https://doi.org/10.13227/j.hjkx.202508108","url":null,"abstract":"&lt;p&gt;&lt;p&gt;Studying the spatio-temporal pattern of the evolution of the quality of the Production Living Ecological Spaces in the Heihe River Basin is of practical significance for understanding the current ecological situation and promoting sustainable development in the region. This study classifies the Production Living Ecological Spaces based on the land use data of the Heihe River Basin from 1990 to 2023. Using the FLUS-InVEST model and GIS platform and coupling 11 driving factors， it simulates and predicts the spatio-temporal distribution patterns of the Production Living Ecological Spaces and their habitat quality under the three scenarios of production space priority， living space priority， and ecological space priority in 2035. The results show that： ① From 1990 to 2023， the area of agricultural production space in the Heihe River Basin increased by 1 184.23 km&lt;sup&gt;2&lt;/sup&gt;， mainly due to the conversion of unused land and grassland； the area of water ecological land increased by 20.96%； and the areas of forest and grassland ecological land decreased by 167.04 km&lt;sup&gt;2&lt;/sup&gt; and 606.31 km&lt;sup&gt;2&lt;/sup&gt;， respectively. ② From 1990 to 2023， the annual change rate of habitat quality in the Heihe River Basin was -0.013%·a&lt;sup&gt;-1&lt;/sup&gt;. High-quality and very high-quality areas mainly transferred to medium-quality and low-quality areas， with a reduction of 786.15 km&lt;sup&gt;2&lt;/sup&gt; in area. Their centers of gravity moved 17.61 km to the northwest and 21.66 km to the northeast， respectively； the area of low-quality areas increased by 7 178.28 km&lt;sup&gt;2&lt;/sup&gt;， and the center of gravity of low-quality areas moved 52.77 km towards the oasis area in the middle and upper reaches. ③ Compared with those in 2020， in the production space priority scenario in 2035， the areas of forest and grassland decreased by 271.23 km&lt;sup&gt;2&lt;/sup&gt; and 800.71 km&lt;sup&gt;2&lt;/sup&gt;， respectively， under the living space priority development scenario， and the area of urban living space increased significantly， while the areas of forest and grassland ecological land continued to decrease. Under the ecological space priority development scenario， the area of forest land increased by 17.76 km&lt;sup&gt;2&lt;/sup&gt;. The decrease in grassland area was the smallest in this scenario. ④ In 2035， the average HQ values of the Production Living Ecological Spaces priority development scenarios were 0.376 9， 0.377 1， and 0.381 5， respectively. Among them， the HQ values of the Production Living Ecological Spaces priority scenarios decreased by 1.13% and 1.08% compared with those in 2020， mainly due to the reduction in the area of high-quality and very high-quality areas. However， under the ecological space priority scenario， the area of high-quality areas increased by 234.70 km&lt;sup&gt;2&lt;/sup&gt;， and the HQ value increased by 0.08%， 1.22%， and 1.17% compared with that in 2020 and the other two scenarios， respectively. The research results can provide multi-perspective references for ecological governance and the coordinated","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6264-6278"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012938","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":"[Meta-analysis of Straw Return Effects on Salt Regulation and Crop Yield Improvement in Saline Soils of China].","authors":"Hao-Hao Bo, Min Tang, Chao Zhang, Shao-Yuan Feng, Yu-Jie Hu, Zheng Zhang, Zhi-Peng Zhang","doi":"10.13227/j.hjkx.202507410","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507410","url":null,"abstract":"<p><p>Soil salinization severely limits the productivity of arable land， highlighting an urgent need for cost-effective amelioration technologies. Straw return to fields presents a dual opportunity for resource recycling and salinity regulation. However， its comprehensive effects on saline soil improvement and crop yield enhancement have yet to be quantitatively assessed. In this study， we conducted a Meta-analysis synthesizing data from 40 published studies across China's mainland， encompassing 325 records of soil electrical conductivity and 256 records of crop yield. We systematically evaluated the interactive effects of climatic factors （annual mean temperature， precipitation， and evaporation）， soil characteristics （initial salinization level and pH）， and agronomic practices （straw type， application rate， return method， straw length， and incorporation depth） on the efficacy of straw return in saline soils. Our results demonstrate that straw return significantly reduced soil electrical conductivity by 22.14% （<i>P</i><0.05） and increased crop yield by 29.11% （<i>P</i><0.05）. In warm and humid climatic zones （annual mean temperature>14℃， precipitation>400 mm， evaporation<1 500 mm） and in strongly saline-alkaline soils with weak alkalinity （pH 8-9）， soil salinity reductions reached 30.63%-54.02%. The optimal strategy for salt control involved the application of biochar-modified wheat straw at rates exceeding 20 t·hm^-2， with straw lengths of 10-15 cm and deep incorporation （20-40 cm）. In contrast， the greatest yield improvements were achieved using straw lengths of 10-15 cm with shallow incorporation （0-20 cm）； significant yield increases were observed for wheat and sunflower， while cotton did not respond significantly. In summary， straw return is an effective strategy for both ameliorating saline soils and enhancing crop productivity， although its efficacy is mediated by synergistic interactions among climatic， soil， and management factors. Site-specific optimization of straw return practices-taking into account regional climate， soil properties， and crop type-represents a crucial approach for promoting sustainable agricultural development in saline-affected regions.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6443-6455"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012944","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":"[Interpretability-driven Analysis of Carbon Storage in the Yellow River Delta Based on SHAP-XGBoost Model].","authors":"Zhi-Long Ma, Mei Han, Xiang-Lun Kong, Jin-Xin Sun, Bin Zhang","doi":"10.13227/j.hjkx.202505105","DOIUrl":"https://doi.org/10.13227/j.hjkx.202505105","url":null,"abstract":"<p><p>Ecosystem carbon storage is an indicator of climate change. Exploring the spatial and temporal evolution characteristics and driving mechanism of carbon storage can provide natural solutions to climate change. Based on the five-period land use data of the Yellow River Delta from 1980 to 2020， the InVEST model was used to analyze the spatial and temporal differentiation characteristics of terrestrial ecosystem carbon storage in the Yellow River Delta. The CA-Markov model was coupled to predict the carbon storage of terrestrial ecosystems in the Yellow River Delta under the two scenarios of natural development and ecological protection in 2030 and 2060. Finally， the SHAP-XGBoost model was used to explain the spatial and temporal evolution of carbon storage. The results showed that： ① From 1980 to 2020， the land use types changed significantly. The construction land increased by 503.40 km²， while the cultivated land and water area lost 123.47 km² and 313.18 km²， respectively. The proportion of ecological land and unused land such as forest land and grassland was small and showed a downward trend. ② From 1980 to 2020， the carbon stocks were 52.88×10⁶， 76.77×10⁶， 36.92×10⁶， 32.71×10⁶， and 49.94×10⁶ t， respectively. Under the natural development scenario， the carbon stocks in 2030 and 2060 were 41.92×10⁶ t and 41.21×10⁶ t， respectively. Under the ecological protection scenario， the carbon stocks in 2030 and 2060 were 51.24×10⁶ t and 60.33×10⁶ t， respectively， indicating that ecological protection could significantly increase the carbon stocks of terrestrial ecosystems. ③ The main driving forces of the spatial and temporal evolution of carbon storage from 1980 to 2020 were the distance from high speed， distance from railway， and NDVI. The relationship between annual average temperature and carbon storage was more complex， and the overall effect was positive. The results of this study can provide a scientific reference for the restoration and management of terrestrial ecosystems in the Yellow River Delta.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"5848-5862"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012948","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":"[Coupled SD-PLUS Model for Land Use Change and Multi-scenario Dynamic Simulation in Shandong Province].","authors":"Tie-Qiao Xiao, Ruo-Nan Wang, Ling Cui, Shen-Qi Gan, Mu-Yi Huang","doi":"10.13227/j.hjkx.202506143","DOIUrl":"https://doi.org/10.13227/j.hjkx.202506143","url":null,"abstract":"<p><p>Multi-scenario simulation of land use can provide theoretical support for regional land space optimization and resource allocation. Based on the land use data of Shandong Province in 2000， 2010， and 2020， combined with 13 driving factors， four constraint scenarios of inertial development， cultivated land protection， ecological protection， and economic development were established. The land use change trend and driving mechanism of Shandong Province in 2030 were predicted and analyzed by the coupling system dynamics （SD） model and patch-level land use change simulation （PLUS） model. The results showed that： ① Under the inertial development scenario， the construction land increased significantly by 5 232.36 km²， the cultivated land area decreased by 5 363.11 km²， and the conversion of agricultural land to construction land showed an accelerating trend. Under the scenario of cultivated land protection， the proportion of cultivated land increased significantly， reaching 69.19%， which was the highest in the four scenarios. ② The ecological protection scenario emphasized the protection and restoration of natural ecosystems such as forest land， grassland， and waters and promoted the increase of forest land， grassland， and waters by 938.02， 1 027.43， and 983.81 km²， respectively， but the area of cultivated land was reduced by 4 226.47 km². The economic development scenario led to the expansion of construction land to 26.33% （a net increase of 6 835.61 km²） and the reduction of cultivated land by 6 488.91 km². ③ The driving mechanism analysis revealed that the combined contribution rate of GDP and population density to the expansion of construction land was 42.3%， and the leading role of DEM and slope on the distribution of ecological land was more than 35%. The verification of the model showed that the historical simulation error of the SD module was less than 8% （the cultivated land error was only 0.27%）， the Kappa coefficient of the PLUS module was 0.8， and the simulation accuracy was significantly better than that of the single model. By setting and comparing the four scenarios， the research results can provide scientific basis and decision support for future land use planning and management.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6188-6198"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149013045","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 Long-term Nitrogen Application on Soil Bacterial Community Structure， Functional Groups， and Assembly Processes in Tea Gardens].","authors":"Yu-Zhen Chen, Yun-Ni Chang, Jun Sun, Feng Wang, Wen-Quan Yu","doi":"10.13227/j.hjkx.202507019","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507019","url":null,"abstract":"&lt;p&gt;&lt;p&gt;Nitrogen fertilizer application is an essential aspect of tea plantation management to improve the yield and quality of tea， and the nitrogen fertilizer constitutes the major artificial factor affecting the soil bacterial community structure. The field experiment （small cement pond） was set up in the base of the Tea Research Institute of Fujian Province （beginning in 2011）， and four nitrogen levels were applied： N0 （0 kg·km&lt;sup&gt;-2&lt;/sup&gt;）， N1 （112.5 kg·hm&lt;sup&gt;-2&lt;/sup&gt;）， N2 （225 kg·hm&lt;sup&gt;-2&lt;/sup&gt;）， and N3 （450 kg·hm&lt;sup&gt;-2&lt;/sup&gt;， all measured by N）， and each treatment was repeated four times. We used 16S rRNA high-throughput sequencing to analyze the effects of long-term nitrogen applications on the soil bacterial diversity， functional groups， and community assembly. Further， the Pearson correlation analysis and redundancy analysis （RDA） were also used to examine the soil property factors that drive the community structure. The results showed that： ① The soil bacterial diversity followed a unimodal trend with increasing N concentration. Compared with that in the N0 treatment， the soil bacterial diversity index （Ace， Chao1， and Shannon） of N2 and N3 treatments significantly decreased by 6.4%-18.74%， 5.93%-19.72%， and 3.99%-6.61% in the spring sampling period， and the soil bacterial diversity index of N2 and N3 treatments significantly decreased by 10.94%-5.95%， 11.02%-25.30%， and 3.61%-8.62% in the autumn sampling period. ② The results of principal coordinates analysis （PCoA） and permutational multivariate analysis of variance （PERMANOVA） showed that long-term nitrogen application drastically changed the community structures of soil bacteria in tea plantations. Compared with N0， N2 and N3 significantly increased the relative abundance of Firmicutes in two seasons， but N3 significantly decreased the relative abundance of Acidobacteria and Myxococcota， and the most important factors affecting the differences in bacterial communities were ammonium nitrogen， acid phosphatase， and nitrate nitrogen. ③ The functional prediction with FAPROTAX showed that chemoheterotrophy （33.01%）， aerobic chemoheterotrophy （32.34%）， and cellulolysis （11.76%） were the main ecological functions in tea garden soils. Long-term nitrogen application significantly changed the ecological functions of bacteria in tea garden soils， and the relative abundances of several functional genes associated with N cycling were reduced by medium-high nitrogen treatments （N2 and N3）. Redundancy analysis （RDA） showed that the ammonium nitrogen， available potassium， and total nitrogen were the most important factors to explain the differences in bacterial ecological functions. ④ Network analysis revealed that the N1 treatment increased the number of edges， average degree， average clustering coefficient， and network density of bacterial networks， and the N2 and N3 treatments significantly decreased the number of edges， average degree， and network density of bacterial networks compared with ","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6530-6544"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012895","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":"[Land Use Conflict Identification and Multi-scenario Simulation Evolution in Henan Province Based on PLUS Model].","authors":"Bao-Rong Qu, Jun-Chang Huang, Ling Li, Shan-Shan Guo, Tai-Wei Hou, Zi-Jun Ma, Li-Ming Ai, Yi Zhang","doi":"10.13227/j.hjkx.202507025","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507025","url":null,"abstract":"<p><p>Accurate identification and dynamic measurement of land use conflicts is an important basis for analyzing regional land use dynamics， optimizing spatial layout， and promoting sustainable development. Taking Henan Province as an example， this study utilizes five periods of land use data from 2000 to 2020 to construct a land use conflict identification model based on land use landscape pattern， systematically analyzes the spatial and temporal evolution characteristics of land use conflicts at both county and grid scales， and employs the PLUS model to simulate conflict patterns under different development scenarios for Henan Province by 2035. The results show that： ① During the study period， cultivated land area decreased from 108 531.03 km² to 103 327.43 km²， representing a decline of 4.79%， and construction land expanded significantly， increasing from 17 262.72 km² to 22 152.55 km²， an increase of 28.33%. ② From 2000 to 2020， land use conflicts in Henan Province were predominantly controllable. The average conflict index at the grid scale fluctuated downward from 0.41 to 0.40. However， the proportion of severely uncontrolled areas increased from 0.71% to 8.51%， indicating a significant intensification of localized conflicts. In terms of spatial distribution， controllable conflict zones were concentrated in areas with minimal human activity， such as forested regions and mountainous areas， exhibiting stable patterns. Conversely， uncontrollable conflict zones showed significant changes. Since 2005， driven by industrialization and urbanization， both the extent and severity of land use conflicts have markedly increased in urban centers， densely populated areas， and their surrounding regions. ③ Simulations of multiple land use conflict scenarios in Henan Province for 2035 indicated that the proportion of uncontrolled units remained below 50% across all four scenarios. Among these， the urban development scenario exhibited the most severe conflicts， with uncontrolled units accounting for 47.11%. The ecological protection and arable land priority scenarios exhibited lower conflict levels. The ecological protection scenario had 59.7% controllable units， while the arable land priority scenario had 70.89% controllable units； only 1.15% of units were severely uncontrollable， and the combined proportion of units with basic uncontrollable and severely uncontrollable was minimal. Therefore， the arable land priority scenario represents the optimal development path for Henan's future land use. The results of the study can provide scientific reference for Henan Province to coordinate arable land conservation with urbanization development and formulate scientifically sound land use policies.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6199-6211"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012916","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":"[Cost-benefit Analysis of Synergistic Pollutant and Carbon Reduction Through Watershed Interventions].","authors":"Chen-Yang Wang, Qi-Meng Jia, Hai-Feng Jia, Yin Wang, Jin-Cheng Liu","doi":"10.13227/j.hjkx.202507403","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507403","url":null,"abstract":"<p><p>Quantitative analysis of the environmental benefits， carbon emissions， and economic costs of watershed management interventions is crucial for meeting pollution and carbon reduction targets. However， existing watershed studies mainly focus on assessing the environmental benefits and financial costs of pollution control facilities. Few evaluate their carbon emissions， and those that do typically focus on single facility types， missing a comprehensive and systematic analysis of emissions across entire watershed pollution control systems. This study creates a watershed cost-benefit assessment framework for water interventions， demonstrated in the Dianchi watershed. By comparing the characteristics of interventions and their effects on water quality and quantity， along with carbon emission and economic cost data from facility construction and operation， this analysis examines the cost-benefit performance under various scenarios. The results revealed notable synergistic effects between urban low impact development （LID） implementation and other watershed facilities. Urban LID and rural best management practices （BMP） measures showed lower marginal carbon abatement costs per unit pollutant reduction， while the inter-basin ecological water diversion involved higher costs. Conversely， water diversion and combined sewer storage capacity expansion （SCE） exhibited lower marginal economic costs， whereas urban LID implementation incurred higher costs. This framework uncovers synergistic interactions among water environment control measures， providing a methodological foundation for systematic cost-benefit assessment of watershed intervention systems.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6047-6056"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149013002","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}