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Application of remote sensing in environmental impact assessment: a case study of dam rupture in Brumadinho, Minas Gerais, Brazil

机译:遥感在环境影响评价中的应用 - 以巴西米纳斯·格雷拉斯省坝泥破裂的案例研究

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摘要

The collapse of mining tailing dams in Brumadinho, Minas Gerais, Brazil, that occurred in 2019 was one of the worst environmental and social disasters witnessed in the country. In this sense, monitoring any impacted areas both before and after the disaster is crucial to understand the actual scenario and problems of disaster management and environmental impact assessment. In order to find answers to that problem, the aim of this study was to identify and analyze the spatiality of the impacted area by rupture of the tailing dam of the Corrego do Feijao mine in Brumadinho, Minas Gerais, by using orbital remote sensing. Land use and land occupation, phytoplankton chlorophyll-a, water turbidity, total suspended solids on water, and carbon sequestration efficiency by vegetation (CO(2)Flux) were estimated by orbital imagery from the Landsat-8/OLI and MSI/Sentinel-2 sensors in order to assess the environmental impacts generated by the disaster. Data were extracted from spectral models in which the variables that best demonstrated the land use variation over the years were sought. Mean comparison by t-test was performed to compare the time series analyzed, that is, before and after the disaster. Through the analysis of water quality, it was observed that the environmental impact was calamitous to natural resources, especially water from Corrego do Feijao.
机译:2019年发生的矿山山丘,米纳斯吉拉斯山脉矿山山丘的崩溃是该国见证的最严重的环境和社会灾害之一。从这个意义上讲,在灾难之前和之后监测任何受影响的领域对于了解灾害管理和环境影响评估的实际情景和问题至关重要。为了找到该问题的答案,本研究的目的是通过使用轨道遥感,通过轨道偏远感测到米纳斯吉拉斯的梅西杰霍尾矿的尾巴大坝破裂来识别和分析受影响区域的空间。土地利用和土地占用,植物叶绿素-A,水浊度,水上含水浊度,植被含有碳封存效率(CO(2)次磁通量)估计来自Landsat-8 / Oli和MSI / Sentinel-的轨道图像估计2个传感器,以评估灾难产生的环境影响。从频谱模型中提取数据,其中寻求最能显示多年来土地使用变化的变量。进行T-Test的平均比较进行了比较分析的时间序列,即灾难之前和之后。通过对水质的分析,观察到环境影响是对自然资源的环境影响,特别是来自Correogo Do Feijao的水。

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