Open AccessDetection and Analysis of Spatial Differentiation of Potential Water Quality Status in Dianchi Lake Based on GF-5
Author(s) -
Hui Lin,
Shu Gan,
Lang Yuan
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/565/1/012020
Subject(s) - normalized difference vegetation index , water quality , environmental science , spatial distribution , eutrophication , range (aeronautics) , hydrology (agriculture) , physical geography , remote sensing , geography , ecology , leaf area index , geology , nutrient , materials science , geotechnical engineering , composite material , biology
The outbreak of cyanobacterial blooms and the deterioration of potential water quality status caused by the eutrophication of Dianchi Lake is a hot topic in the research of Dianchi Lake environmental protection. Based on Gaofen No.5(GF-5) hyperspectral remote sensing data, Normalized Vegetation Index(NDVI) is used to indicate the impact of aquatic plants on potential water quality status in Dianchi Lake. And through the spatial statistical classification analysis of NDVI value range, the focus is on the spatial differentiation characteristics of the potential water quality status in Caohai and Waihai. The results are as follows: ①General quantitative statistical analysis of NDVI range shows that the mean values of NDVI in Caohai and Waihai are -0.387 and -0.713 respectively, indicating that the potential water quality status in Caohai are more serious than Waihai; ②According to the classification and statistics of NDVI range in Caohai, NDVI mid-value area accounts for 51.99% of the total area of Caohai. The spatial distribution ratios of NDVI low-value area and high-value area are less, 38.20% and 9.81% respectively; ③According to the classification and statistics of the potential water quality status in Waihai, the spatial distribution of NDVI low-value area, mid-value area and high-value area account for 47.16%, 51.45% and 1.39% of the total area of Waihai; ④The spatial distribution of the potential water quality status in Dianchi Lake shows the pattern characteristic of “north is heavy and south is light”. The potential water quality status in Caohai are generally worse than that of Waihai, and there are more serious potential water quality problems than Waihai. In general, the application of high-resolution remote sensing data can effectively monitor and identify the potential water quality status and spatial distribution of plateau lakes in real time, enriching the methods of monitoring the water quality of lakes based on hyperspectral remote sensing, which is conducive to promoting the protection and management of water resources environment in Dianchi Lake.