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首页> 外文期刊>Arabian journal of geosciences >Assessing irrigation water quality in Faridpur district of Bangladesh using several indices and statistical approaches
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Assessing irrigation water quality in Faridpur district of Bangladesh using several indices and statistical approaches

机译:使用几种指标和统计方法评估Bangladesh Faridpur区的灌溉水质

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Several water quality indices, i.e., salinity hazard (SH), sodium percentage (Na%), sodium adsorption ratio (SAR), permeability index (PI), magnesium hazard (MH), Kelly's ratio (KR) and irrigation water quality (IWQ) indices are applied to assess the irrigation water quality using 60 groundwater samples collected from the study sites. This study reveals that groundwater samples are mainly Ca-MgHCO3 types. The IWQ of groundwater with various classifications are also followed to assess the water suitability for irrigation purposes. Based on IWQ index, it is observed that 68.33% of the water samples (41 locations) belong to high suitability water type, whereas 30% (18 locations) samples exhibit low suitability type for irrigation purposes in the study area. Results of the classification (EC, SH, Na%, SAR, PI, MH, and KR) indicate that groundwater in the study areas are mainly fit for irrigation uses. Besides the above findings, Na+ and Cl- concentrations reveal the positively skewed and are regarded to be extreme. Furthermore, results shows that groundwater mineralization process and rock-water interaction are mainly controlled with bivariate plots of major ions in the study areas. Subsequently, these results are validated using multiple regression models and correlation analysis. The spatial distribution of irrigation indices is carried out by geostatistical modeling. The results of semivariagram model show that most of the irrigation indices have weakly spatial dependence, suggesting agricultural and residential influences. However, it has been expected that this paper helps to give insights for a better management of the groundwater resources for the agricultural purposes in the study area.
机译:几种水质指数,即盐度危害(SH),钠百分比(Na%),钠吸附比(SAR),渗透率指数(PI),镁危害(MH),凯利的比例(KR)和灌溉水质(IWQ )使用从研究部位收集的60个地下水样本来评估灌溉水质的指标。本研究表明,地下水样品主要是Ca-MgHCO3类型。还遵循各种分类的地下水的IWQ,以评估灌溉目的的水适宜性。基于IWQ指数,观察到68.33%的水样(41个位置)属于高适度水型,而30%(18个位置)样品在研究区内灌溉目的表现出低适用性类型。分类结果(EC,SH,NA%,SAR,PI,MH和KR)表明研究领域的地下水主要适合灌溉用途。除了上述发现,Na +和Cl-浓度揭示了正倾斜的并且被认为是极端的。此外,结果表明,地下水矿化过程和岩石 - 水相互作用主要用研究区域的主要离子的一体斑块控制。随后,使用多元回归模型和相关分析验证这些结果。通过地统计学建模进行灌溉指标的空间分布。半导体造型模型的结果表明,大多数灌溉指数具有弱空间依赖性,暗示农业和住宅影响。但是,预计本文有助于了解研究区内农业目的的地下水资源更好地管理。

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