POSSIBILITIES OF USING EARTH OBSERVATIONS FOR ANALYZING THE ENVIRONMENTAL IMPACTS OF FORMER COAL MINE IN VIHOVICI

I. Mikulić, Marinela Nuić
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Abstract

The paper presents recently developed methods along with a toolset for monitoring the environmental impact of mining operations, and in particular, for analyzing water quality, by using earth observations. Cuttingedge technology is proposed for the combined use of aerial lightweight measurements, including hyperspectral imaging spectroscopy and unmanned aerial vehicles (UAVs). Water quality was analyzed using airborne and in situ measured water data. Measurements of the water-leaving radiance (Rw) spectra provide sufficient information to estimate water quality because of the combination of parameters derived from the measurements: total suspended matter (TSM), phytoplankton (with the most active component Chlorophyll a, CHL-a) and colored dissolved organic matter (CDOM). The in situ Rw spectra were used along with the in situ concentrations measurements to find the most optimal band ratio algorithm for each water quality parameter. Analysis of the linear regression between the band ratios and the concentration measurements showed very strong correlation. The small root mean square errors (RMSE) for the most of the parameters lead to conclusion that there is no significant change in water quality resulting from a latent effect of the old mining industry or waste dumping within the region of Mostar.
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利用地球观测分析维霍维奇原煤矿环境影响的可能性
本文介绍了最近开发的方法以及一套工具,用于监测采矿作业的环境影响,特别是利用地球观测分析水质。提出了结合使用航空轻量化测量的尖端技术,包括高光谱成像光谱和无人机(uav)。利用空气和现场测量的水质数据对水质进行了分析。由于测量得到的参数组合:总悬浮物(TSM)、浮游植物(具有最活跃成分叶绿素a, CHL-a)和彩色溶解有机质(CDOM),因此对离水辐射(Rw)光谱的测量提供了足够的信息来估计水质。将原位Rw光谱与原位浓度测量相结合,寻找每个水质参数的最佳频带比算法。波段比与浓度测量值之间的线性回归分析显示出很强的相关性。由于大多数参数的均方根误差(RMSE)较小,因此得出结论,在莫斯塔尔地区内,由于老采矿业或废物倾倒的潜在影响,水质没有显著变化。
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