Department of Agricultural Chemistry, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh.
Department of Soil Science, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh.
Environ Monit Assess. 2024 Jun 21;196(7):641. doi: 10.1007/s10661-024-12799-5.
The lack of quality water resources for irrigation is one of the main threats for sustainable farming. This pioneering study focused on finding the best area for farming by looking at irrigation water quality and analyzing its location using a fuzzy logic model on a Geographic Information System platform. In the tribal-prone areas of Khagrachhari Sadar Upazila, Bangladesh, 28 surface water and 39 groundwater samples were taken from shallow tube wells, rivers, canals, ponds, lakes, and waterfalls. The samples were then analyzed for irrigation water quality parameters like electrical conductivity (EC), total dissolved solids (TDS), sodium adsorption ratio (SAR), soluble sodium percentage (SSP), residual sodium bicarbonate (RSBC), magnesium hazard ratio (MHR), Kelley's ratio (KR), and permeability index (PI). Fuzzy Irrigation Water Quality Index (FIWQI) was employed to determine the irrigation suitability of water resources. Spatial maps for parameters like EC, KR, MH, Na%, PI, SAR, and RSBC were developed using fuzzy membership values for groundwater and surface water. The FIWQI results indicate that 100% of the groundwater and 75% of the surface water samples range in the categories of excellent to good for irrigation uses. A new irrigation suitability map constructed by overlaying all parameters showed that surface water (75%) and some groundwater (100%) in the northern and southwestern portions are fit for agriculture. The western and central parts are unfit for irrigation due to higher bicarbonate and magnesium contents. The Piper and Gibbs diagram also indicated that the water in the study area is magnesium-bicarbonate type and the primary mechanism of water chemistry is controlled by the weathering of rocks, respectively. This research pinpoints the irrigation spatial pattern for regional water resource practices, identifies novel suitable areas, and improves sustainable agricultural uses in tribal-prone areas.
缺乏优质灌溉水资源是可持续农业的主要威胁之一。本开创性研究通过观察灌溉水质并使用地理信息系统平台上的模糊逻辑模型分析其位置，专注于寻找最佳农业区域。在孟加拉国 Khagrachhari Sadar 专区的部落地区，从浅管井、河流、运河、池塘、湖泊和瀑布中采集了 28 个地表水和 39 个地下水样本。然后对这些样本进行灌溉水质参数分析，包括电导率（EC）、总溶解固体（TDS）、钠吸附比（SAR）、可溶性钠百分比（SSP）、剩余碳酸氢钠（RSBC）、镁危害比（MHR）、凯利比（KR）和渗透率指数（PI）。模糊灌溉水质指数（FIWQI）用于确定水资源的灌溉适用性。使用地下水和地表水的模糊隶属值为参数（如 EC、KR、MH、Na%、PI、SAR 和 RSBC）绘制空间图。FIWQI 结果表明，地下水 100%和地表水 75%的样本属于优秀到良好的灌溉用途类别。通过叠加所有参数构建的新灌溉适宜性图表明，北部和西南部的地表水（75%）和一些地下水（100%）适合农业。由于碳酸氢盐和镁含量较高，西部地区和中部地区不适合灌溉。Piper 和 Gibbs 图还表明，研究区的水属于镁碳酸氢盐类型，水化学的主要机制分别受岩石风化的控制。这项研究确定了区域水资源实践的灌溉空间模式，确定了新的适宜区域，并提高了部落地区的可持续农业利用。
