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首页> 外文期刊>Environmental Geology >An analytical hierarchy process-based geospatial modeling for delineation of potential anthropogenic contamination zones of groundwater from Arang block of Raipur district, Chhattisgarh, Central India
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An analytical hierarchy process-based geospatial modeling for delineation of potential anthropogenic contamination zones of groundwater from Arang block of Raipur district, Chhattisgarh, Central India

机译:基于分析层次过程的地理空间模型,用于描绘印度中部恰蒂斯加尔邦赖普区阿朗街区地下水的潜在人为污染区

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摘要

In the present study, identification of groundwater zones that are affected by anthropogenic contaminants based on litho-hydrogeological parameters has been attempted using multi-criteria decision analysis-analytical hierarchy process (MCDA-AHP) technique in an agriculturally intensive Arang block of Raipur district, Chhattisgarh, Central India. Litho-hydrogeological factors, such as geological and aquifer characteristics, land use-land cover, depth to water table, soil type, rainfall distribution, slope, geomorphological features, drainage density, elevation and lineament density parameters are considered for the delineation of anthropogenic contamination zones based on an integrated index model in Arc-GIS. Various input layers were assigned weights and then weight normalization process was adopted using Saaty's AHP method to develop the integrated potential anthropogenic contamination zone (PACZ) map, based on the relative importance of anthropogenic contamination of groundwater. According to the proposed model majority of the study area falls under precarious zone, though certain areas fall under safe zone. In course of time, without proper planning the area could turn out to be moderately unsafe to unsafe zone. The PACZ map was validated with the fluoride concentration in groundwater as per National Rural Drinking Water Programme (NRDWP) report along with the measured nitrate concentration values. Model accuracy was achieved by agreement of about 82% of the fluoride values and 94% of the nitrate values with the proposed output map. Further validation of the model with fluoride and nitrate data was performed using computing similarity analysis with Pearson's correlation coefficient which suggests anomalously higher concentrations of fluoride and nitrate ion concentration in certain areas of Arang block, which could be emanated from non-point anthropogenic sources. Additionally, Gibbs's plot and saturation indices of fluorite and calcite suggest that groundwater chemistry is primarily controlled by aquifer lithological characteristics (rock-water interaction) and diffused anthropogenic contamination sources.
机译:在本研究中,已尝试使用多准则决策分析-层次分析法(MCDA-AHP)技术,在赖布尔地区的农业密集型阿朗区块中,根据岩石水文地质参数确定受人为污染物影响的地下水带,印度中部恰蒂斯加尔邦。为了确定人为污染,考虑了岩石水文地质因素,例如地质和含水层特征,土地利用-土地覆盖,地下水位深度,土壤类型,降雨分布,坡度,地貌特征,排水密度,高程和沿线密度参数基于Arc-GIS中的集成索引模型的区域。为各个输入层分配了权重,然后根据地下水人为污染的相对重要性,使用Saaty的AHP方法采用权重归一化过程来开发综合潜在人为污染区(PACZ)图。根据建议的模型,尽管某些区域属于安全区域,但大部分研究区域都位于不稳定区域内。随着时间的流逝,如果没有适当的计划,该区域可能会变成不安全区域,属于中度不安全区域。根据国家农村饮用水计划(NRDWP)报告,使用地下水中的氟化物浓度以及测得的硝酸盐浓度值对PACZ图进行了验证。通过将约82%的氟化物值和94%的硝酸盐值与建议的输出图相吻合,可以实现模型精度。使用含Pearson相关系数的计算相似性分析对含氟和硝酸盐数据进行了模型的进一步验证,这表明Arang区块某些区域的氟和硝酸盐离子浓度异常高,这可能是由于非点状人为源造成的。此外,Gibbs图和萤石和方解石的饱和指数表明,地下水化学主要受含水层岩性特征(岩水相互作用)和人为污染源的扩散控制。

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