摘要
利用遥感影像研究长江流域的水资源状况,对于长江流域的生态环境保护具有重要意义。基于2014—2023年30 m分辨率Landsat8遥感影像,利用PIE-Engine Studio平台和NDWI反演模型提取了长江干流的水体并计算了水域面积;通过计算叶绿素a浓度、水体透明度和悬浮泥沙浓度分析了长江干流水质。结果表明,长江水域面积的最大、最小值分别在2019年、2014年;叶绿素a浓度的最大、最小值分别在2021年、2014年;水体透明度的最大、最小值分别在2023年、2014年;悬浮泥沙浓度的最大、最小值分别在2021年、2022年。长江上游的水量小、水质好,沿着流域向下长江干流水量增大、水质变差;随着对长江流域的治理,干流水质呈逐年变好的趋势。
Utilizing remote sensing image to study the water resource status of the Yangtze River basin is of great significance for ecological and environmental protection in this region.Based on Landsat8 remote sensing images with a 30 m resolution from 2014 to 2023,we utilized the PIE-Engine Studio platform and NDWI inversion model to extract water and calculate water area along theYangtze River mainstream.Furthermore,we analyzed the water quality in the Yangtze River mainstream by calculating three water quality parameters,such as chlorophyll-a concentration,water transparency,and suspended sediment concentration.The results indicated that the water area of the Yangtze River was smallest in 2014 and biggest in 2019.The chlorophyll-a concentration was lowest in 2014 and highest in 2021.Water transparency was lowest in 2014 and highest in 2023.Suspended sediment concentration peaked in 2021 and was lowest in 2022.The findings reveal that the upstream of the Yangtze River has less water volume but better water quality.As the basin flows downstream,the water volume of mainstream gradually increases,and water quality gradually deteriorates.With the management and governance of the Yangtze River basin,the water quality of mainstream exhibits a trend of improving year by year.
作者
杜建超
王鼎力
白晋颖
李婷婷
DU Jianchao;WANG Dingli;BAI Jinying;LI Tingting(School of Telecommunications Engineering,Xidian University,Xi’an 710071,China;Xi’an Branch,PIESAT Information Technology Co.,Ltd.,Xi’an 710199,China)
出处
《地理空间信息》
2026年第1期79-84,共6页
Geospatial Information
基金
教育部产学合作协同育人资助项目(230902313183709)
西安电子科技大学2023年教育教学改革研究资助项目(B2303)
西安电子科技大学通信工程学院2023本科教育教学改革资助项目。
关键词
水体提取
遥感影像处理
水质分析
长江
PIE-Engine
water extraction
remote sensing image processing
water quality analysis
the Yangtze River
PIE-Engine
