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采煤沉陷水域水体富营养化指标遥感监测研究进展

Research progress on remote sensing monitoring of water eutrophication indicators in coal mining subsidence water area

  • 摘要: 沉陷水域水体富营养化严重,利用多时相多源遥感影像数据,构建水体富营养化指标(氮、磷、叶绿素a、悬浮物、有色可溶性有机物的质量浓度,以及水体透明度等)反演模型,可实现沉陷水域水体富营养化状况的动态、精准、高效监测。基于近20年来关于采煤沉陷水域水体富营养化指标遥感监测的相关文献,系统梳理了采煤沉陷水域水体富营养化特征、遥感监测常用数据源和水体富营养化指标反演模型等三方面的研究现状,总结了遥感技术在沉陷水域水体富营养化监测中存在的问题,提出了未来的发展趋势,可为采煤沉陷水域水体富营养化指标遥感监测的应用提供参考。

     

    Abstract: The water eutrophication of subsidence water area is severe. By using multi-temporal and multi-source remote sensing image data, inversion models for water eutrophication indicators (mass concentration of nitrogen and phosphorus, chlorophyll a,suspended solids,colored soluble organic matter,and water transparency,etc. ) is constructed,thereby achieving dynamic,accurate,and efficient monitoring of the water eutrophication status of subsidence water area. Based on the relevant literature on remote sensing monitoring of water eutrophication indicators in coal mining subsidence water area in the past 20 years,this study systematically reviews the research status of three aspects,including water eutrophication characteristics in coal mining subsidence water area, commonly used data sources for remote sensing monitoring, and inversion models for water eutrophication indicators. The problems of remote sensing technology in water eutrophication monitoring of subsidence water area are summarized,and the future development trend is put forward, which can provide reference for the application of remote sensing monitoring of water eutrophication indicators in coal mining subsidence water area.

     

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