基于GF-1影像的巢湖浊度遥感监测及时空变化研究

Remote Sensing Monitoring and Spatiotemporal Variation of Turbidity of Chaohu Lake Based on GF-1 Image

浊度监测可以为湖泊水质的污染防控和预警提供科学依据。为了提高湖泊浊度的动态监测能力,将卫星遥感监测和浮标检测站监测相结合,对2019年巢湖浊度的时空变化进行分析。浮标检测站监测通过高频次连续的实测浊度数据的统计分析,研究巢湖浊度时空变化特征;遥感监测通过构建最优波段组合模型对浊度进行定量反演。研究结果表明:(1)巢湖整体浊度动态变化过程明显,短时间内变异显著;(2)浊度对红色波段和近红外波段敏感;(3)蓝藻爆发时间段巢湖整体浊度较高,且日间浊度动态变化显著。该研究为水质监测提供新思路,同时推进了空地联合方式在水质监测方面的应用。

Turbidity monitoring can provide a scientific basis for the prevention,control and early warning of lake water quality.In order to improve the dynamic monitoring capability of lake turbidity,satellite remote sensing monitoring and buoy detection station monitoring are combined to study the temporal and spatial changes of Chaohu Lake turbidity in 2019.The temporal and spatial variation characteristics of Chaohu Lake′s turbidity are studied through the statistical analysis of high-frequency continuous measured turbidity data at the buoy detection station,while the turbidity is quantitatively retrieved by constructing the optimal band combination model for remote sensing monitoring.The results showed that(1)the overall turbidity dynamics of Chaohu Lake is obvious,and the variation is significant within a short period of time,(2)the turbidity is sensitive to the red band and near-infrared band,(3)the overall turbidity of Chaohu Lake during the cyanobacteria outbreak period is relatively high,and diurnal turbidity changes significantly.This work provides a new idea for water quality monitoring,and at the same time promotes the application of air-ground joint methods in water quality monitoring.