采煤沉陷水域叶绿素a浓度遥感监测研究

Study on the Remote Sensing Monitoring of Chlorophyll-a Concentration in Coal Mining Subsidence Water Area

采煤沉陷水域水质监测分析对矿区环境治理与水资源综合利用具有重要意义,叶绿素a浓度是表征水体富营养化程度的重要指标。以淮南丁集矿、顾桥矿、谢桥矿、张集矿和顾北矿等5座矿井沉陷水域为研究对象,利用ASD光谱仪采集了15个水体样本光谱,对原始光谱、一阶导数、二阶导数及倒数对数的光谱与叶绿素a浓度的相关性进行分析,基于沉陷水域光谱特征,确定了用于淮南矿区沉陷水域叶绿素a监测的波段范围,并选取时间同步的Landsat 8OLI红光波段(Band 4)构建沉陷水域叶绿素a浓度的遥感监测模型,地面水体样本的监测数据验证了该模型具有较高的反演精度。

The monitoring and analysis of water quality in coal mining subsidence water area is of great significance to environmental control and comprehensive utilization of water resources in mining area.Chlorophyll-a concentration is an important indicator of water eutrophication.The subsidence water areas of five mines were selected as the research object,including Dingji mine,Guqiao mine,Xieqiao mine,Zhangji mine and Gubei mine.The ASD spectrometer was used to collect the spectra of 15 water samples,and the correlation between the original spectra and the spectra of the first derivative,the second derivative and the reciprocal logarithm with the chlorophyll-a concentration was analyzed.Based on the spectral characteristics of the subsidence water area,the band range for chlorophyll-a monitoring in the subsidence water area of Huainan mining area was determined,and red band(Band 4)of Landsat 8 OLI data synchronized with time was selected to build a remote sensing monitoring model for chlorophyll-a concentration in the subsidence water area.The detection data of surface water samples verified that the model had high inversion accuracy.