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Assessment of impact of shrimp farming on coastal groundwater using Geographical Information System based Analytical Hierarchy Process

机译:基于层次分析法的地理信息系统对虾养殖对沿海地下水的影响评估

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摘要

Impact assessment of shrimp farming on groundwater needs selection of representative sampling units. In the coastal region, complex sources invariably influence the groundwater flow and its quality. This warrants multicriteria evaluation techniques consequent to which Geographical Information System (GIS) based Analytical Hierarchy Process (AHP) was used for the selection of groundwater sampling units in an effort to assess the impact of shrimp farming. Thematic maps of eight base layers viz. distance from the aquaculture ponds, drainage pattern in the study area, lineament, soil texture, slope, landuse/landcover, geomorphology and lithology were prepared using ARCGIS 10 as these were the main factors that could impact groundwater quality. Information on the relative importance of the evaluation criteria was obtained by assigning weights to each criterion defined by pairwise comparison for all the above eight factors. Pairwise comparison revealed that the consistency ratio was less than the threshold value (0.1) indicating perfection in comparison of each evaluation criterion. Eight criteria of distance, seven criteria of drainage, three criteria of lineament, seven criteria of soil, eight criteria of landuse, three criteria of slope, seven criteria of geomorphology and five criteria of geology were computed and combined to develop a priority classification map related to the influence of brackish water aquaculture on the salinisation of the groundwater in an effort to precisely assess the impact. On analysis, 29 sampling well locations were identified with three priority classes viz., (i) high priority (10), (ii) moderate priority (13) and (iii) low priority (6). Groundwater samples from all these sampling units were collected bimonthly starting from October 2011 till June 2013 and analyzed for pH, electrical conductivity (EC), total dissolved solids (TDS), and chloride (Cl). Results revealed no significant relationship of groundwater quality as per the priority classification. Hierarchical cluster analysis clearly elucidated the variation of different water quality parameters being independent of the location of aqua farms indicatingmultiple sources for variation. From the spatial distribution map, it could be concluded that groundwater quality is independent of shrimp farming. (C) 2015 Elsevier B.V. All rights reserved.
机译:对虾养殖对地下水的影响评估需要选择代表性的抽样单位。在沿海地区,复杂的水源总是会影响地下水流量及其质量。由于使用了基于地理信息系统(GIS)的分析层次过程(AHP)来选择地下水采样单位,以评估对虾养殖的影响,因此需要采用多准则评估技术。八个基础层的专题图。距离水产养殖池塘的距离,研究区域的排水方式,线型,土壤质地,坡度,土地利用/土地覆盖,地貌和岩性均使用ARCGIS 10进行了准备,因为这是影响地下水质量的主要因素。通过为上述八个因素中的成对比较定义的每个标准分配权重,可以获得有关评估标准的相对重要性的信息。配对比较显示,一致性比率小于阈值(0.1),表明在每个评估标准的比较中均达到完美。计算了八项距离标准,七项排水标准,三项线型标准,七项土壤标准,八项土地使用标准,三项坡度标准,七项地貌标准和五项地质条件,并将其组合起来,以建立相关的优先分类图苦咸水养殖对地下水盐碱化的影响,以精确评估影响。经过分析,确定了29个采样井位置,具有三个优先级类别,即(i)高优先级(10),(ii)中优先级(13)和(iii)低优先级(6)。从2011年10月至2013年6月,每两个月收集一次来自所有这些采样单元的地下水样品,并分析pH值,电导率(EC),总溶解固体(TDS)和氯化物(Cl)。结果表明,根据优先级分类,地下水水质没有显着关系。层次聚类分析清楚地阐明了不同水质参数的变化,独立于水产养殖场的位置,表明存在多种变化源。从空间分布图可以得出结论,地下水质量与虾类养殖无关。 (C)2015 Elsevier B.V.保留所有权利。

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