Open AccessSimulation System of Lake Eutrophication Evolution based on RS & GIS Technology—a Case Study in Wuhan East Lake
Author(s) -
Xin Yang,
Meifa Huang,
Kaiyuan Bai
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 - 10.1088/1755-1315/453/1/012002
Subject(s) - eutrophication , water quality , environmental science , remote sensing , interface (matter) , hydrology (agriculture) , computer science , database , geology , ecology , geotechnical engineering , bubble , maximum bubble pressure method , parallel computing , nutrient , biology
Water is the source of life and monitoring water quality is very important. Traditional water quality monitoring often uses artificial methods, taking water samples on the spot, and then analysing them in the laboratory. This method is time-consuming and labour-intensive, and is affected by time, weather and human activities. It is not only inaccurate, but also difficult to multi-period. It is difficult to monitor large areas of water. This study proposes an intelligent water quality monitoring system— Simulation System of Lake Eutrophication Evolution based on RS & GIS Technology (SSLEE). Based on the .NET Framework, the system interface design is completed through Windows Form platform. C#, IDL and ArcGIS Engine are used to develop the whole system. The system can manage the measured data, remote sensing image data, preprocess the remote sensing image and retrieve the chlorophyll a concentration. Taking Wuhan East Lake as an example, the applicability of SSLEE system is demonstrated. Compared with the measured results, the error is small, indicating that the system is reliable in water quality monitoring of inland lakes.