首页> 外文期刊>Geomatics,Natural Hazards & Risk >Extraction of detailed level flood hazard zones using multi-temporal historical satellite data-sets ?¢???? a case study of Kopili River Basin, Assam, India
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Extraction of detailed level flood hazard zones using multi-temporal historical satellite data-sets ?¢???? a case study of Kopili River Basin, Assam, India

机译:使用多时历历史卫星数据集提取详细的洪灾危险区印度阿萨姆邦科皮利流域的案例研究

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ABSTRACT Kopili River Basin is one of the chronic flood affected basins of Brahmaputra River, lies in north-eastern part of India. This study attempts to utilize the historical spatial data on flood inundation layers derived from multi-temporal remote sensing images for identifying villages falling in various flood hazard severity zones. A total of 183 flood events were mapped in the basin in the last two decades. About 3.89 lakh hectares which is 29% of Kopili River Basin area is affected by floods during 1977, 1988 and 1998?¢????2015. The flood hazard zonation frequency is determined treating each village as minimum unit of entity and based on the number of times affected by flood events in a given year. About 742 villages are categorized as very low to low and 396 villages fall in moderate flood hazard zone and more than 150 villages are categorized between high to very high flood hazard zones.
机译:摘要科皮里河流域是布拉马普特拉河受印度洪水影响的慢性河流之一,地处印度东北部。这项研究试图利用从多时相遥感影像中获得的洪水淹没层的历史空间数据来识别落在各种洪水灾害严重性区域内的村庄。在过去的二十年中,该流域共绘制了183个洪水事件的地图。 1977年,1988年和1998年,大约38.9万公顷的土地(占科比利流域的29%)受到洪水的影响。2015年。确定洪水灾害分区频率,将每个村庄作为实体的最小单位,并基于给定年份受洪水事件影响的次数。大约742个村庄被划分为从低到低,而396个村庄属于中等洪灾危险区,而150多个村庄被划分为高洪灾到高洪灾区。

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