利用 AHP 和地理空间技术确定印度南部 Dindigul 的地下水勘探目标区域

M. Lavanya, M. Muthukumar
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引用次数: 0

摘要

空间技术的最新进展正被广泛用于资源测绘和管理,因为与传统方法相比,空间技术可在短时间内以较低的成本提供高精度。遥感和地理信息系统(GIS)在收集和分析用于绘制资源和地表特征图的信息方面发挥着至关重要的作用。例如,人为活动和气候变化会影响地表水和地下水之间的自然相互作用,因此,为了未来的可持续发展,必须对地下水资源进行监测和管理。在本研究中,我们试图利用这些新兴技术来确定印度泰米尔纳德邦丁迪古尔地区的地下水潜力区。为了绘制具有地下水潜力的区域图,我们采用了层次分析法(AHP),根据影响地下水的因素为每个主题层中的所有类别分配权重。还根据地下水影响因素和专家知识,采用成对比较法对每个参数的子特征进行排序。分析所选参数包括地质、地貌、土壤、土地利用/土地覆盖、排水密度、线状密度、坡度、降雨量、表土厚度、断裂带厚度、风化带厚度、地形湿润指数、粗糙度和曲率。所有专题层都采用了加权叠加分析法,并利用 AHP 的技术支持分配权重。分析结果被分为五类,即极高、高、中、低和极低潜势区,并用于绘制地下水潜势图。该地图显示了整个地区地下水潜力的细微分布,不同地区的潜力程度各不相同。极高潜力区所占面积极小(0.07%),但战略性地分布在具有高风化带厚度和有利土壤特性的地区。高潜力区占地面积较大(22.33%),分布在整个矿区,主要集中在具有高断裂带和有利地质特征的地区。中度潜力区(35.12%)主要位于研究区的东北部,而低潜力区和极低潜力区分别占研究区面积的 19.56% 和 22.92%。低潜力区和极低潜力区主要位于丘陵地带,表层土壤和地质条件不利。利用年平均水位数据对地下水潜势区(GWPZ)图进行的验证表明,所确定的地下水条件与实际井深之间的吻合度很高(60.53%),从而肯定了本研究结果的可靠性和重要性。
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AHP and geospatial technologies for identifying groundwater exploration target regions in Dindigul, southern India
Recent advances in space technology are being widely utilized in resource mapping and management as they provide a high level of accuracy over a short duration and at a lower cost, when compared to traditional methods. Remote sensing and the geographical information system (GIS) play a vital role in collecting and analyzing information used to map resources and earth surface features. For example, anthropogenic activities and climate change affect the natural interaction between the surface and ground water making the monitoring and management of groundwater resources mandatory for future sustainable development. In this study, we attempt to identify the groundwater potential zones in the Dindigul district of Tamil Nadu, India using these emerging technologies. To map regions with groundwater potential, the analytical hierarchical process (AHP) was used to assign weights to all classes in each thematic layer based on groundwater-influencing factors. The sub-features of every parameter were also ranked, using a pairwise comparison method, based on the groundwater-influencing factors and expert knowledge. The parameters selected for the analysis were geology, geomorphology, soil, land use/land cover, drainage density, lineament density, slope, rainfall, thickness of top-soil, thickness of fractured zone, thickness of weathered zone, topographic wetness index, roughness and curvature. The weighted overlay analysis method was adopted for all the thematic layers, with technical support from the AHP for assigning weightages. The results were classified into five categories viz., very high, high, moderate, low, and very low potential zones, and used to prepare a groundwater potential map. This map revealed a nuanced distribution of groundwater potential across the district, with varying degrees of potentiality in different regions. Very high potential zones occupy a minimal area (0.07%) but are strategically located in areas characterized by high weathered zone thickness and conducive soil characteristics. High potential zones cover a significant area (22.33%) and are dispersed throughout the district, with specific concentrations in regions featuring highly fractured zones and favorable geological attributes. Moderate potential zones (35.12%) are primarily located in the northeastern part of the study area, while low and very low potential regions cover 19.56% and 22.92% of the study area. The low and very low potential zones appear particularly in hilly terrains, with unfavorable top soil and geological conditions. The validation of the groundwater potential zone (GWPZ) map using the annual average water level data demonstrates a substantial match (60.53%) between the identified groundwater conditions and actual well depths, affirming the reliability and significance of the findings from this study.
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