GIS在环境监测与风险评估中的应用

Li Chen, Yiying Mao, Ruotong Zhao
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引用次数: 0

摘要

GIS技术正在成为不同学科的主流工具,如生物质资源评估、矿产资源分析、地下水和空气质量调查。本研究探讨了其在解决环境问题监测和风险评估中的应用。GIS在环境监测中的应用主要分为水、土壤和大气三个方面。基于ArcGIS 10.1软件和ArcGIS 9.3.1版本,GIS分别应用于供水系统监测和土壤重金属浓度监测。此外,结合阿里云弹性计算服务服务器、用户管理开发环境、实时数据显示、无线传感器网络、Arduino微控制器等一系列传感器,可以实现准确的实时地理位置信息传输和各个领域的监控。GIS技术结合径向基函数网络模型和空间数据,通过量化土壤风蚀的各项指标,对土壤风蚀危害程度进行监测和评价。GIS还可以应用于评估水、土地和大气的环境风险。以地质地貌数据为基础,遥感与GIS相结合,完成山洪灾害评价、地下水勘探评价、地下水污染评价。利用GIS的空间分析和数据处理能力,结合数字高程模型和污染指数等其他技术或方法,可以对地形变化、土壤性质和重金属污染进行评估。GIS提供了查询空间数据的能力,并利用其内置的分析工具将现有的空间模式转换为可测量的目标。可用于预测和评价空气质量预报。通过这些方法,有关部门可以合理、有针对性地管理不同的区域,具有现实和长远的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GIS application in environmental monitoring and risk assessment
GIS techniques are becoming the mainstream tool in different disciplines such as assessments of biomass resources, mineral resource analysis, groundwater, and air quality investigation. This study explored its application in solving environmental problems monitoring and risk assessment. GIS application in environmental monitoring has mainly been divided into three aspects: water, soil, and atmosphere. Based on ArcGIS 10.1 software and ArcGIS 9.3.1 version, GIS has been applied in water supply system monitoring and soil heavy metal concentration monitoring, respectively. In addition, it can achieve real-time geographic location information transmission accurately and monitor in various fields by combining the Alibaba Cloud elastic computing service server, user management development environment, real-time data display, wireless sensor network, Arduino microcontroller, and a series of sensors. Combined with the Radial Basis Function Network model and spatial data, GIS technology could monitor and assess the degree of soil wind erosion hazard by quantifying the various indicators of soil wind erosion. GIS can also be applied to assess the environmental risks from water, land, and atmosphere. Based on geological and geomorphological data, the integration of remote sensing and GIS can complete the assessment of flash flood disasters, groundwater exploration, and groundwater pollution. By using the spatial analysis and data processing capabilities of GIS and combined with other technologies or methods such as digital elevation model and Pollution Index, topographic changes, soil properties, and heavy metal pollution can be assessed. GIS provides the ability to query spatial data and translates existing spatial patterns into measurable targets with its built-in analytical tools. It can be used to predict and assess air quality prediction. Through these approaches, relevant authorities can manage different areas rationally and targeted manner, which has practical and long-term implications.
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