文章摘要
朱权,宋金茜,姜小三,王强.基于WebGIS的农产品产地污染评价系统设计与实现[J].农业环境科学学报,2017,36(9):1850-1857.
基于WebGIS的农产品产地污染评价系统设计与实现
Design and implementation of a pollution evaluation system in an agricultural producing area based on WebGIS
投稿时间:2017-02-26  
DOI:10.11654/jaes.2017-0227
中文关键词: WebGIS  农产品产地  污染  评价系统
英文关键词: WebGIS  agricultural producing area  pollution  evaluation system
基金项目:江苏省农产品产地安全智慧管控系统项目(JSZC-G2015-039)
作者单位E-mail
朱权 南京农业大学资源与环境科学学院, 南京 210095  
宋金茜 南京农业大学资源与环境科学学院, 南京 210095  
姜小三 南京农业大学资源与环境科学学院, 南京 210095 gis@njau.edu.cn 
王强 南京农业大学资源与环境科学学院, 南京 210095  
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中文摘要:
      农产品产地环境安全问题日益受到关注,及时准确地监控农产品产地环境状况,并收集相关数据进行风险评估,对保障农产品产地安全具有重要意义。传统的农业环境监控手段存在耗时长,成本高等缺点,无法及时快速的掌握环境污染状况。为此利用Java技术平台,将开源WebGIS技术与环境分析评价模型整合,在江苏省建立了基于WebGIS的农产品产地污染评价系统。该系统能利用Web技术的便捷性,实现对农产品产地环境数据的快速收集、管理和统计功能;也可以利用GIS的空间插值技术和环境污染评价模型,对江苏省进行农产品产地重金属污染的单因子和多因子评价。系统最终可以利用收集的数据生成江苏省的环境污染风险分级评价图,为江苏省农产品产地重金属污染防治工作提供了有力支持。
英文摘要:
      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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