Institute of Water and Flood Management (IWFM), Bangladesh University of Engineering and Technology (BUET), Dhaka, 1000, Bangladesh.
Institute of Water Modelling (IWM), Dhaka, 1206, Bangladesh.
Environ Monit Assess. 2021 Jan 3;193(1):24. doi: 10.1007/s10661-020-08790-5.
The increasing trend of population growth along with the rapid groundwater-based agricultural expansion and decreasing trend of mean annual rainfall in the Northwest region of Bangladesh has been exacerbating the declination of groundwater for further expansion. Therefore, the present study attempts to demarcate the potential groundwater abstraction zones from the assessment of potential recharge and available recharge. Potential recharge was obtained with commonly used geospatial-based weighted linear combination (WLC) technique. Here, WLC analysis was based on eight factors related to physiographic (e.g. drainage density, lineament density, slope), geomorphologic (e.g. geomorphology, lithology, soil), land use and land cover (LULC) and hydrology (i.e. rainfall). Available net recharge was assessed for the period 1993-2017 by employing the water table fluctuation method. Finally, the resultant map on potential abstraction was characterized into five different classes, viz. 'very low', 'low', 'moderate', 'high' and 'very high'. The derived map reveals that 'very high' potential zone is distributed along the Teesta river floodplain, especially the northeastern part. In contrast, the Barind Tract (i.e. the southwestern and the southcentral parts) area shows 'very low' groundwater prospect. Such fused interpretations are expected to contribute to the planning of integrated management of water resources.
随着孟加拉国西北部地区人口增长趋势的加剧,以及地下水基农业的快速扩张和平均年降雨量的减少,地下水进一步扩张的潜力正在下降。因此,本研究试图从潜在补给和可用补给的评估来划定潜在地下水开采区。潜在补给是通过常用的基于地理空间的加权线性组合 (WLC) 技术获得的。在这里,WLC 分析基于与地形(如排水密度、线性密度、坡度)、地貌(如地貌、岩性、土壤)、土地利用和土地覆盖(LULC)和水文学(即降雨)相关的八个因素。利用地下水水位波动法评估了 1993 年至 2017 年期间的可用净补给量。最后,将潜在开采的结果图划分为五个不同的类别,即“极低”、“低”、“中”、“高”和“极高”。得出的地图显示,“极高”的潜在区域分布在特西(Teesta)河泛滥平原,特别是东北部。相比之下,巴林德tract(即西南部和中南部)地区的地下水前景则“极低”。这种融合的解释有望有助于水资源综合管理规划。