自然资源遥感2025，Vol.37Issue(2)：256-264,9.DOI:10.6046/zrzyyg.2022439
耦合遥感与SWAT模型的岸边植被带消减面源污染效能研究
Exploring the performance of riparian zones in reducing non-point source pollution by coupling remote sensing with the SWAT model
摘要
Abstract
Riparian zones have been extensively used in non-point source pollution control projects worldwide,and remote sensing has gradually become a significant means of non-point source pollution research.However,combining remote sensing technology with riparian zones for efficient pollution interception effects is still a challenge.With the Xingyun Lake basin in Yunnan Province as the study area,this study established a soil and water assessment tool(SWAT)model by coupling with remote sensing.It created a riparian zone by changing the land use type for scenario simulation,investigating the different effects of various widths and vegetation types on pollutant reduction.The key findings are as follows:① The created riparian zone exhibited better interception effects for nitrogen compared to phosphorus;② Concerning different vegetation types in the riparian zone,forest land manifested significantly better pollution interception effects than grassland.Moreover,the pollutant reduction rate gradually increased with an increase in the width of the riparian zone;③A riparian zone consisting of 30-m-wide forest land and 30-m-wide grassland can reduce total nitrogen production by 5.20％ and total phosphorus production by 6.03％ while intercepting 19.83％ of organic nitrogen and 21.30％ of organic phosphorus into the lake,demonstrating the optimal pollution interception effects.关键词
SWAT/面源污染/土地利用/岸边带/遥感Key words
SWAT/non-point source pollution/land use/riparian zone/remote sensing分类
信息技术与安全科学引用本文复制引用
刘翼遥,吴太夏,王树东,鞠茂森..耦合遥感与SWAT模型的岸边植被带消减面源污染效能研究[J].自然资源遥感,2025,37(2):256-264,9.基金项目
国家自然科学基金项目"三北工程区陆地生态系统增汇潜力及风险评估"(编号:42141007)资助. （编号:42141007）
