实现可持续水资源解决方案:印度中央邦丁多里区地下水可能性调查

Budhram Pendro, Yogesh Yadav
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摘要

地下水是一种至关重要的资源,因为印度约 45% 的灌溉用水和约 80% 的生活用水需求都是由地下水库满足的。因此,必须确定哪些地方的地下水可用概率高,哪些地方的可用概率低。在概率低的地区,需要快速开发补给结构。地理信息系统(GIS)和遥感技术是获取地下水可用性信息以及寻找合适的补给结构选址的重要工具。调查将涉及地质勘测,以了解该地区的水文地质特征,包括含水层性质、补给机制和地下水质。此外,还将进行环境影响评估,以评价地下水开采的可持续性及其对周围生态系统的潜在影响。此外,社会经济分析将探讨现有的用水模式、社区需求和利益相关者的观点,以制定具有包容性和公平性的地下水管理计划。"这项研究的重点是印度中央邦的丁多里区。影响地下水补给的因素多种多样,包括地形、坡度、土地利用和土地覆盖、排水密度、地质、土壤分布、降雨量、地形等。卫星图像提供了有关土地利用/土地覆盖、地貌的信息,而 DEM 则划定了坡度、排水和地形。它们被划分为不同的等级并赋予权重。使用 ArcGIS 软件进行数据整合和加权叠加分析,绘制出丁多里区地下水潜势图。地下水潜势图分为五个等级:'优'(0.01%)、'良'(9.78%)、'中'(70.04%)、'差'(19.97%)和'极差/无'(0.17%)"。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Sustainable Water Solutions: Investigating Groundwater Possibility in Dindori District of Madhya Pradesh, India
Groundwater is a crucial resource, as approximately 45% of irrigation and around 80% of domestic water needs in India are fulfilled by groundwater reservoirs. Therefore, it is essential to determine where the probability of groundwater availability is high and where it is low. In areas with low probability, there is a need for the rapid development of recharge structures. GIS and remote sensing technology is a crucial tool for obtaining information about availability of ground water potential as well as finding suitable site for recharge structures. The investigation will involve geological surveys to understand the hydrogeological characteristics of the region, including aquifer properties, recharge mechanisms, and groundwater quality. Additionally, environmental impact assessments will be conducted to evaluate the sustainability of groundwater extraction and its potential implications on the surrounding ecosystems. Furthermore, socio-economic analyses will explore the existing water usage patterns, community needs, and stakeholders' perspectives to develop inclusive and equitable groundwater management plans. "This study focuses on the Dindori district in Madhya Pradesh, India. There are different factors affecting groundwater recharge, including topography, slope, land use and land cover, drainage density, geology, soil distribution, rainfall, lineament, etc. Satellite images provide information about land use/land cover, geomorphology, and DEM delineate slope, drainage, and lineament. They are classified into different classes and assigned weights. ArcGIS software was used for data integration and weighted overlay analysis to create a groundwater potential map for the Dindori district. The groundwater potential map is categorized into five classes: 'Excellent' (0.01%), 'Good' (9.78%), 'Moderate' (70.04%), 'Poor' (19.97%), and 'Very Poor/Nil' (0.17%)."
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