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Groundwater quality assessment for irrigation by adopting new suitability plot and spatial analysis based on fuzzy logic technique
Environmental Research ( IF 8.3 ) Pub Date : 2021-08-31 , DOI: 10.1016/j.envres.2021.111729
Chidambaram S 1 , Prasanna M V 2 , Venkatramanan S 3 , Nepolian M 4 , Pradeep K 5 , Banajarani Panda 4 , Thivya C 4 , Thilagavathi R 4
Affiliation  

This study was focused on identifying the region suitable for agriculture-based, using new irrigation groundwater quality plot and its spatio-temporal variation with fuzzy logic technique in a geographic information system (GIS) platform. Six hundred and eighty groundwater samples were collected during pre, southwest, northeast, and post monsoon periods. A new ternary plot was also attempted to determine the irrigation suitability of water by considering four essential parameters such as sodium adsorption ratio (SAR), permeability index (PI), Sodium percentage (Na %), and electrical conductivity (EC). The derived ternary plot was the most beneficial over other available plots, as it incorporated four parameters, and it differs from the US Salinity Laboratory (USSL) plot, such that the groundwater with higher EC could also be used for irrigation purposes, depending on the Na%. The ternary plot revealed that the groundwater predominantly manifested good to moderate category during post, northeast, and southwest monsoons. The assessment with the amount of fertilizer used during the study period showed that the NPK fertilizers were effectively used for irrigation during monsoon periods. Spatial maps on EC, Kelly's ratio, Mg hazard, Na%, PI, potential salinity (PS), SAR, residual sodium carbonate (RSC), and soluble sodium percentage (SSP) were prepared for each season using fuzzy membership values, integrated for each season. A final suitability map derived by an overlay of all the seasonal outputs has identified that the groundwater in the western and the eastern part of the study area are suitable for agriculture. The study recommends cultivation of groundwater-dependent short-term crops, along the western and northern regions of the study area during the pre-monsoon season.



中文翻译:

采用新的适宜性图和基于模糊逻辑技术的空间分析进行灌溉地下水水质评价

本研究的重点是在地理信息系统 (GIS) 平台中使用新的灌溉地下水水质图及其时空变化与模糊逻辑技术确定适合农业的区域。在季风前、西南、东北和季风后期间收集了 680 个地下水样本。还尝试了一个新的三元图,通过考虑钠吸附率 (SAR)、渗透指数 (PI)、钠百分比 (Na %) 和电导率 (EC) 等四个基本参数来确定水的灌溉适宜性。导出的三元图比其他可用图最有利,因为它包含四个参数,并且不同于美国盐度实验室 (USSSL) 图,因此,EC 较高的地下水也可用于灌溉,具体取决于 Na%。三元图显示,在后期、东北和西南季风期间,地下水主要表现为良好至中等类别。对研究期间肥料使用量的评估表明,NPK 肥料在季风期间有效地用于灌溉。使用模糊隶属度值为每个季节准备了 EC、凯利比、Mg 危害、Na%、PI、潜在盐度 (PS)、SAR、残留碳酸钠 (RSC) 和可溶性钠百分比 (SSP) 的空间图,整合了每个季节。通过叠加所有季节性输出得出的最终适宜性图已确定研究区西部和东部的地下水适合农业生产。该研究建议在季风前季节沿研究区的西部和北部地区种植依赖地下水的短期作物。

更新日期:2021-09-15
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