基于云的GIS方法监测斯里兰卡Kalutara沿海地区的环境污染

M. Sirirwardane, M.A.D. Samanmali, Rangajeewa Rathnayake
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引用次数: 2

摘要

地理信息系统(GIS)在处理地理空间数据的许多方面都是一个强大的工具。本研究采用现代地理空间方法,对Kalutara地区海岸带的环境污染进行监测,目的是识别现有的自然资源。利用遥感技术对绿色植被斑块、水体和山毛榉区进行了探测。进行了详细的GPS实地调查,并确定了各种污染事件的小型环境资源。这些信息被用来改进可用的数据集。根据污染事件与自然资源的关系,将污染事件的类型按严重程度进行分类。制作地图并将数据上传到ArcGIS在线云平台。Web服务是使用这个云基础设施托管的。污染事件数据层被赋予了基于网络的编辑功能,可以使用启用GPS的移动设备进行现场监测。进行了实地观察,并将污染影响的地点上传到具有相关属性的实地网络地图中。利用热点来更好地了解和认识环境污染。结果发现了污染事件,并对次要环境要素产生了显著影响。在实地观察期间,云基础设施有助于降低数据共享的障碍,事件报告机制也变得更加便利。
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Cloud Based GIS Approach for Monitoring Environmental Pollution in the Coastal Zone of Kalutara, Sri Lanka
Geographic Information Systems (GIS) can be used as a powerful tool in many aspects of handling geospatial data. By considering the modern geospatial approaches, this research is focused on monitoring environmental pollution in the coastal zone of Kalutara area, with the objective of identification of existing natural resources. Green vegetation patches, water bodies and beech areas were detected using remote sensing techniques. A detailed GPS field survey was conducted and identified minor environmental resources with various pollution incidents. This information was used to improve the available data sets. The types of pollution incidents were categorised according to the severity level by considering the relationship to each natural resource. Maps were created and data was uploaded to the ArcGIS online cloud platform. Web services were hosted using this cloud infrastructure. Pollution incidents data layer has been given web based editing capabilities for field monitoring using GPS enabled mobiles. Field observations were conducted and locations of the pollution effects were uploaded into web maps from the field with related attributes. The hot spots were used to get better understanding and awareness of the environmental pollution. As the results, pollution incidents were identified and there was a significant effect to the minor environmental elements. The cloud infrastructure, helped to bring down the barriers of data sharing and the incident reporting mechanism became more convenient during the field observations.
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