首页|期刊导航|湖泊科学|土地利用类型、强度和景观格局对河流水质的多尺度影响

土地利用类型、强度和景观格局对河流水质的多尺度影响OA

Multi-scale impacts of land use type,intensity,and landscape pattern on river water quality

中文摘要英文摘要

水质安全是保障生态系统功能、维护人类健康及实现可持续发展的关键要素.土地利用的类型、强度和景观格局作为人类活动的重要表征,对河流水质变化具有显著影响,且这种影响在不同时空尺度下存在差异.本研究以赤水河源区为研究对象,结合河岸带和子流域两个尺度,采用方差分解和随机森林模型,量化土地利用类型、强度及景观格局3个维度对水质的独立贡献和综合影响,并识别了关键影响因子及其空间尺度.结果表明:①景观格局是影响水质变化的主要维度(33%~58%),其次为土地利用类型(11%~22%)和土地利用强度(4%~16%);②河岸带景观格局对水质的影响更显著,而子流域土地利用强度的解释力更大;③建设用地占比、建设用地强度和农田强度是关键的水质预测因子,森林占比和景观格局在减少总氮、化学需氧量方面发挥重要作用.研究显示,流域水质管理应根据不同土地利用特征,寻找河岸带与子流域尺度的最佳组合来制定管理措施.建议在河岸带尺度优先控制工业与生活污水点源,在子流域尺度强化农业面源治理,形成"点面结合"的管控体系.本研究为理解土地利用—水质关系的多维度特征和尺度效应提供了新的实证,对于制定流域水土资源保护和空间优化策略具有重要的理论和实践意义.

Water quality is a key factor in safeguarding ecosystem functions,protecting human health,and ensuring sustainable de-velopment.The characteristics of land use(including type,intensity,and landscape configuration)are important indicators of hu-man activity and significantly impact river water quality,with these impacts varying across different spatial and temporal scales.This study focuses on the source region of the Chishui River,integrating two spatial scales:the riparian buffer and the sub-water-shed.Using variation partitioning analysis and random forest modelling,we quantify the independent and combined contributions of land use type,intensity and landscape pattern to water quality.This allows us to identify the key influencing factors and their corre-sponding spatial scales.The results show that:Landscape pattern is the main dimension influencing water quality changes(explai-ning 33%-58%of the variation),followed by land use type(11%-22%)and intensity(4%-16%).Riparian landscape config-uration exerts a more significant influence on water quality,while land use intensity at the sub-watershed scale provides stronger ex-planatory power.The proportion of built-up land and the intensities of construction and agriculture are key predictors of water quali-ty,while forest cover and landscape connectivity play important roles in reducing total nitrogen and chemical oxygen demand con-centrations.These findings suggest that water quality management in watersheds should consider land use characteristics at multiple scales in order to identify the most effective combinations of riparian and sub-watershed interventions.Specifically,we recommend prioritizing the control of industrial and domestic point-source pollution at the riparian scale and enhancing agricultural non-point source management at the sub-watershed scale to form an integrated'point-source and non-point source'control system.This study provides new empirical evidence on the multidimensional interactions and scale effects of land use-water quality relationships,offer-ing important theoretical and practical insights for the protection of watershed resources and the optimization of spatial planning.

Zhu Jiaying;Peng Shuangyun;Lin Zhiqiang;Yang Yuqian;Zhang Rui;Huang Bangmei

Faculty of Geography,Yunnan Normal University,Kunming 650500,P.R.China||GIS Technology Research Center of Resource and Environment in Western China of Ministry of Education,Kunming 650500,P.R.ChinaFaculty of Geography,Yunnan Normal University,Kunming 650500,P.R.China||GIS Technology Research Center of Resource and Environment in Western China of Ministry of Education,Kunming 650500,P.R.ChinaFaculty of Geography,Yunnan Normal University,Kunming 650500,P.R.China||GIS Technology Research Center of Resource and Environment in Western China of Ministry of Education,Kunming 650500,P.R.ChinaFaculty of Geography,Yunnan Normal University,Kunming 650500,P.R.China||GIS Technology Research Center of Resource and Environment in Western China of Ministry of Education,Kunming 650500,P.R.ChinaFaculty of Geography,Yunnan Normal University,Kunming 650500,P.R.ChinaKunming No.10 Middle School,Kunming 650500,P.R.China

土地利用水质景观格局土地利用强度尺度效应赤水河

Land usewater qualitylandscape patternland use intensityscale effectChishui River

《湖泊科学》 2026 (1)

154-169,中插17,17

国家自然科学基金项目(42261073,41971369,42261037)、云南省中青年学术和技术带头人后备人才项目(202305AC160083,202205AC160014)、云南省重大科技专项(202202AD080010)、云南省基础研究面上项目(202401AT070103)和云南省基础研究专项重点项目(202201AS070024,202001AS070032)联合资助.

10.18307/2026.0122

评论