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Accomplishment and subjectivity of GIS-based DRASTIC groundwater vulnerability assessment method: a review

机译:基于GIS的巨大地下水脆弱性评估方法的完成和主体性:综述

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摘要

Groundwater vulnerability assessment is an important task in water resources and land management. The most sophisticated among the vulnerability assessment techniques is the GIS-based DRASTIC model. However, despite its popularity, it is marred with excessive subjectivity glitches; little research has been conducted to address the shortcomings associated with this method. This study investigates various issues regarding the application of the GIS-based DRASTIC model through a critical review of relevant literatures. It is revealed that all the DRASTIC parameters are equally significant irrespective of their assigned weights. On the contentious quantile classifications, however, a categorical classification defined by ‘very low’, ‘low’, ‘medium’, ‘high’, and ‘very high’ was suggested for standardization. Based on the studied literatures, it was established that 46 % of 977 million km2 of land assessed globally fell within moderate to high vulnerability category—a land cover bigger than the cultivated lands obtainable in all the countries around the world except the United States, India, China, Russia, Brazil, Canada and Australi
机译:地下水脆弱性评估是水资源和土地管理的重要任务。漏洞评估技术中最复杂的是基于GIS的剧烈模型。然而,尽管其受欢迎程度,但它与过度的主观性故障造成损害;已经进行了很少的研究以解决与此方法相关的缺点。本研究通过对相关文献的批判性审查,调查了关于基于GIS的剧死模型的应用的各种问题。据透露,无论其指定的权重如何,所有剧烈参数都同样显着。然而,在争议的定量分类上,建议标准化“非常低”,“低”,“中”,“高”和“高”和“非常高”定义的分类分类。基于研究的文献,建立了46%的977万英里,全球评估的土地中的46%的土地下降到高度至高漏洞类别 - 一个大于全球各国的耕地以外的耕地,除了美国,印度除外,中国,俄罗斯,巴西,加拿大和澳大利亚

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