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Design and implementation of a pollution evaluation system in an agricultural producing area based on WebGIS |
Received:February 26, 2017 |
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KeyWord:WebGIS;agricultural producing area;pollution;evaluation system |
Author Name | Affiliation | E-mail | ZHU Quan | College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China | | SONG Jin-xi | College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China | | JIANG Xiao-san | College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China | gis@njau.edu.cn | WANG Qiang | College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China | |
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Abstract: |
The environmental safety of agricultural producing areas has attracted increasing concern. Timely monitoring of the agricultural environment and collection of relevant data for risk assessment is important to guarantee agricultural security. The traditional method of agricultural environment monitoring is time-consuming and expensive, thus it is difficult to determine pollution conditions of agricultural producing areas in a timely manner. Building a WebGIS pollution evaluation system can meet the needs of collecting the environmental data rapidly and analyzing these data efficiently. Open source WebGIS technology and an environmental evaluation model were combined using the Java platform to build the agricultural producing area pollution evaluation system(APAPES) for Jiangsu Province. The APAPES can quickly collect, manage, and analysis environmental pollution data. Via the APAPES, a massive amount of data was collected in a few weeks. Users can easily add, view, modify, and delete data. Several search and statistical tools are offered by the APAPES. It is convenient for searching environmental data with multiple conditions and displaying data characteristics in multiple dimensions. Users can employ spatial interpolation tools to generate a distribution map of pollution elements. By applying the single factor and multiple factor index methods to the element distribution map, the APAPES returns a comprehensive pollution risk distribution map to the user. By using the APAPES, environmental monitoring is organized in a more modern and efficient way, which streamlines the collection and analysis of environmental data. The analysis results can help people allocate resources more appropriately to prevent environmental pollution of agricultural producing areas. |
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