Remote sensing-based monitoring of the treatment and redevelopment of the brownfields: A case study of brownfields in the risk control and rehabilitation list of Zhejiang Province
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摘要: 为深入挖掘遥感监测技术对污染地块风险管控、土壤修复治理及开发建设活动等土地利用现状的监测能力,抽取浙江省纳入全国污染土壤信息管理系统中风险管控与修复名录的98个污染地块,利用其历史期和监测期2个时相的国产高分辨率遥感卫星影像数据,基于ArcGIS平台,通过影像数据处理和人机交互解译,对污染地块的土地利用现状变化开展遥感监测; 结合污染地块调查、风险评估、管控与修复效果评估报告及污染地块的属性信息,对监测结果进行统计分析。结果表明: 利用遥感监测技术可以快速查明污染地块实施风险管控、土壤修复以及开发建设活动情况,及时掌握风险管控与修复名录污染地块的土地利用现状及发展动态、存在问题,为地方相关部门开展污染地块再开发利用准入管理工作提供技术支撑和依据。Abstract: This study aims to further tap the remote sensing monitoring technique in monitoring the current land use of brownfields, including risk control, soil remediation, and development and construction. Firstly, this study selected 98 brownfields of Zhejiang Province that have been included in the risk control and remediation list in the national contaminated soil information management system. Then, using images of the historical period and the monitoring period from the domestic high-resolution remote sensing satellite, this study conducted the remote sensing monitoring of changes in land use through image processing and human-computer interactive interpretation on the ArcGIS platform. Finally, this study made statistics of the monitoring results by combining the reports on the surveys, risk assessment, and control and remediation effects of the brownfields, as well as the attribute information of the brownfields. The results show that the monitoring based on the remote sensing technique can be used to quickly identify the implementation of risk control, soil remediation, and development and construction of the brownfields and timely grasp the current status, dynamic trends, and issues of the use of brownfields included in the risk control and rehabilitation list. This study will provide technical support and bases for relevant public departments to carry out the access management of the redevelopment of brownfields.
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Key words:
- brownfield /
- risk control and remediation /
- redevelopment /
- remote sensing monitoring
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