利用频率比和层次分析法评估和绘制大吉岭喜马拉雅地区的地下水潜力区地图

IF 1.3 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Journal of Earth System Science Pub Date : 2024-09-05 DOI:10.1007/s12040-024-02364-6
Kabirul Islam
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引用次数: 0

摘要

地下水危机正以惊人的速度在印度各地蔓延,对生物的生存构成严重威胁。然而,缺水的性质是不均衡的,而且蔓延到了一些意想不到的地方,比如降雨量充足的大吉岭喜马拉雅地区。大吉岭喜马拉雅山是印度最具吸引力的旅游胜地之一,由于不利的地形特征、气候问题、过度开发以及快速城市化、旅游业蓬勃发展、过度砍伐森林和气候变化等原因,该地区正面临着水资源危机,情况正在逐步恶化。因此,水的需求和可用性之间出现了巨大的不平衡,这促进了水的黑市交易,并在整个地区蓬勃发展。因此,评估大吉岭喜马拉雅地区的地下水潜力区及其分布就变得非常重要。为此,利用地理空间技术绘制了八幅专题地图,并结合频率比和层次分析法绘制了研究区域的地下水潜势图。最终地图被重新划分为五个潜力区,即分别为极低、低、中、高和极高等级。分析结果表明,FR 模型的成功率和预测率分别为 87% 和 83%。另一方面,AHP 方法的成功率和预测率分别为 84% 和 79%,这表明 FR 方法的性能略优于 AHP 方法。总体结果可能有助于规划者更好地管理或可持续利用地下水资源。
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An assessment and mapping of groundwater potential zones in the Darjeeling Himalayan region using frequency ratio and analytical hierarchy process

The groundwater crisis is spreading across India at an alarming rate, and it poses a serious threat to the existence of the living world. However, the nature of scarcity is uneven and spread to some unexpected locations, such as the Darjeeling Himalayan region, where rainfall is adequate. Darjeeling Himalaya, one of the most attractive tourist destinations in India, is facing a water crisis due to adverse topographical characteristics, climatic issues, and over-exploitation along with rapid urbanization, booming tourism industry, excessive deforestation, and climate change, which are making the situation progressively worsening. Consequently, a huge imbalance is generated between the requirements and availability of water, which promotes the black-marketing of water and has flourished in the entire region. For this reason, the assessment of the groundwater potential zone and its distribution in the Darjeeling Himalayan region become very important. In this regard, eight thematic maps are prepared with the help of geospatial techniques and integrated with frequency ratio and analytical hierarchy methods to prepare a groundwater potential map of the study area. The final map is reclassified into five potential zones, i.e., very low, low, moderate, high, and very high classes, respectively. The results of this analysis show that the success rate and prediction rate of the FR model are 87 and 83%, respectively. On the other hand, success and prediction rates for AHP methods are 84 and 79%, which indicates the performance of the FR method is slightly better than the AHP method. The overall result may be helpful to planners in better management or sustainable use of groundwater resources.

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来源期刊
Journal of Earth System Science
Journal of Earth System Science Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
3.20
自引率
5.30%
发文量
226
期刊介绍: The Journal of Earth System Science, an International Journal, was earlier a part of the Proceedings of the Indian Academy of Sciences – Section A begun in 1934, and later split in 1978 into theme journals. This journal was published as Proceedings – Earth and Planetary Sciences since 1978, and in 2005 was renamed ‘Journal of Earth System Science’. The journal is highly inter-disciplinary and publishes scholarly research – new data, ideas, and conceptual advances – in Earth System Science. The focus is on the evolution of the Earth as a system: manuscripts describing changes of anthropogenic origin in a limited region are not considered unless they go beyond describing the changes to include an analysis of earth-system processes. The journal''s scope includes the solid earth (geosphere), the atmosphere, the hydrosphere (including cryosphere), and the biosphere; it also addresses related aspects of planetary and space sciences. Contributions pertaining to the Indian sub- continent and the surrounding Indian-Ocean region are particularly welcome. Given that a large number of manuscripts report either observations or model results for a limited domain, manuscripts intended for publication in JESS are expected to fulfill at least one of the following three criteria. The data should be of relevance and should be of statistically significant size and from a region from where such data are sparse. If the data are from a well-sampled region, the data size should be considerable and advance our knowledge of the region. A model study is carried out to explain observations reported either in the same manuscript or in the literature. The analysis, whether of data or with models, is novel and the inferences advance the current knowledge.
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