Open AccessDesign of Yunnan Province Soil Environmental Quality Monitoring and Analysis Platform Based on WebGIS
Author(s) -
Wenjie Xu,
Hong Liang,
Wei Luo,
Xiaolin Kang
Publication year - 2021
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 - 10.1088/1755-1315/687/1/012043
Subject(s) - data quality , government (linguistics) , soil survey , computer science , environmental quality , environmental data , data collection , soil quality , sampling (signal processing) , visualization , environmental science , arcgis server , geographic information system , scale (ratio) , environmental resource management , environmental pollution , remote sensing , geography , data mining , engineering , environmental protection , world wide web , server , soil science , cartography , soil water , philosophy , operations management , mathematics , filter (signal processing) , law , metric (unit) , linguistics , appleshare , client–server model , political science , computer vision , statistics
The state and government departments will produce a large amount of soil survey data in the process of soil environmental pollution investigation. The format of soil data has diversified and multi-scale spatial characteristics. Due to the lack of a unified soil environmental pollution management platform in Yunnan Province, the storage of soil survey data is disorderly and messy. The data cannot be well-informed and scientifically analyzed, resulting in the inability to provide accurate and comprehensive soil environmental quality for all levels of government management data. In order to effectively solve this problem, taking soil heavy metal pollution survey sampling points in Yunnan Province as an example, this paper uses web geographic information systems (GIS) technology to design a set of soil environmental monitoring and analysis platforms that describe data sources, data collection, data analysis and visualization. The platform has established a scientific and rigorous data analysis method, which can uniformly convert and store historically scattered data and conduct unified management and analysis of survey data.