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Delineation of groundwater potential zones of Atrai-Sib river basin in north-west Bangladesh using remote sensing and GIS techniques

机译:使用遥感和GIS技术描绘西北孟加拉国ATRAI-SIB河流域地下水潜力区

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Present research work is carried out in the Atrai-Sib river basin in the drought-prone but agro-based Barind area in the north-west of Bangladesh to delineate the groundwater potential zones using integrated approach of remote sensing (RS) and geographic information system (GlS)-based multi-criteria evaluation. Decreasing trend in rainfall along with increasing population in this drought-prone area calls for a sustainable development of the groundwater resource. The river basin possesses dendritic drainage pattern and major portion of runoff water allows more infiltration to recharge the groundwater and is, therefore, a potential for groundwater occurrence. The gentle to flat river basin is of 'excellent' category for groundwater management because of favorable infiltration to maximum time of runoff percolation. Here, seven different thematic layers such as, geomorphology, drainage density, rainfall, lithology, lineament density, slope and land use/ land cover (LULC) are integrated in GIS environment to study groundwater potentiality. Corresponding normalized rates for the classes in a layer and weights for the thematic layers are computed using Saaty's Analytical Hierarchy Process (AHP), and then aggregated thematic map is prepared using a weighted linear combination (WLC) method. Map-removal and single-parameter sensitivity analysis are used to examine the effects of removing any thematic layer on the groundwater potential zones and to compute effective weight, respectively. About 226 km2 (6% of the study area) is designated as very good groundwater potential zone, whereas that of good, moderate, very poor and poor groundwater potential zones cover 407 km2 (11%), 720 km2 (19%), 997 km2 (26%) and 1418 km2 (38%), respectively. Sensitivity analysis shows that the groundwater potential zonation in the study area is most sensitive to lineament density (mean variation index 2.66), which is the most effective thematic layer in the groundwater potentiality zone (mean effective weight of 27.13%) and supports the need for future river basin development and management. This study can help to identify the groundwater potential zones of this drought-prone area that will lead towards the planning of the integrated water resources management.
机译:目前的研究工作是在Atrai-Sib River盆地在孟加拉国西北部的干旱普遍但农业基础的Barind地区进行了使用遥感(RS)和地理信息系统的综合方法来描绘地下水潜在区域(GLS)基于多标准评估。降雨趋势随着这次干旱易于面积的增加而越来越多的人口,要求进行地下水资源的可持续发展。河流域拥有树突式排水图案,径流水的主要部分允许更多的渗透来为地下水充电,因此是地下水发生的潜力。温柔的河流盆地是地下水管理的“优秀”类别,因为有利的渗透到径流过渡的最长时间。这里,七种不同的专题层,如地貌,排水密度,降雨,岩性,衬里密度,坡度和土地使用/陆地覆盖(LULC)均融入GIS环境,以研究地下水潜力。使用SAATY的分析层次处理(AHP)计算用于主题层的层和权重的类别的相应归一化速率,然后使用加权线性组合(WLC)方法来编制聚合专题映射。移除地图和单参数灵敏度分析用于检查去除地下水潜在区域上的任何专题层并分别计算有效权重的效果。大约226平方公里(6%的研究区)被指定为非常好的地下水潜在区域,而那种良好,中等,非常差,地下水潜在区域覆盖407 km2(11%),720平方公里(19%),997 KM2(26%)和1418 km2(38%)。敏感性分析表明,研究区域中的地下水潜在区划对坐线密度(平均变异指数2.66)最敏感,这是地下水潜力区中最有效的主题层(平均有效重量为27.13%)并支持需要未来的河流流域开发与管理。本研究可以帮助识别该干旱普遍区域的地下水潜在区域,这将导致综合水资源管理的规划。

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