关键词: OLI数据;水质指标;Landsat8影像;水质反演;遥感反演;信阳境内淮河流域;

Abstract: Using satellite images for continuous and large-scale water quality monitoring is currently one of the hotspots in water environmental issue research. The purpose of this study is to explore the water quality indicators that can be monitored well by remote sensing images,so as to quickly obtain the temporal-spatial distribution of water quality indicators and provide data support for water environmental governance. Based on the measured hydrological monitoring data of Huaihe River in Xinyang territory in Henan Province,a statistical model of OLI data and water quality indicators(WQI) was established,including dissolved oxygen(DO),fluoride,ammonia nitrogen(NH3-N),total phosphorus(TP) and pH and so on,to explore all the water quality parameters that can be monitored with OLI data. The results show that the OLI data can be used to monitor the spatial distribution of ammonia nitrogen,total phosphorus,pH,fluoride and dissolved oxygen. The overall water quality in the study area was alkaline and the fluoride content is low,and there was no excessive fluorine pollution. The urban river sections and confluences of the main stream and the tributary rivers were heavily polluted by ammonia nitrogen and total phosphorus,and the dissolved oxygen contents of these two sections were low. The water quality management of the Xinyang City needs to be strengthened.

Key words: OLI data; water quality indicators; Landsat8 image; water quality inversion; remote sensing; Huaihe River Basin in Xinyang City;