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Fuzzy Logic Based GIS Modeling for Identification of Ground Water Potential Zones in the Jhagrabaria Watershed of Allahabad District, Uttar Pradesh, India

机译:基于模糊逻辑的GIS建模,用于确定印度北方邦阿拉哈巴德地区贾哈巴里亚流域的地下水潜力区

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Water is the most vital requirement for life supporting system to mankind. Within the hydrologic cycle, groundwater represents a major portion of the earth's water circulatory system. Groundwater is an important resource required for drinking, irrigation and industrialization purpose. In India more than 74 % of rural and nearly 26 % of urban population depends on ground water for meeting their drinking and domestic requirements. Remote sensing and Geographic Information System (GIS) now-a-days have become inevitable tools for the analysis of groundwater at local, regional and global level. It helps in integrating remotely sensed derived data with ancillary data to have more precise and accurate information about various factors involved in the ground water resources. Fuzzy logic based concepts have found a very wide range of applications in different fields viz. soil science, environmental science, earth science etc. But the method has been least used in the field of groundwater detection. The fuzzy logic allows accessing and utilizing the known components of phenomena. Fuzzy Logic provides a very precise approach for dealing with uncertainty which grows out of the complexity of human behaviour. The fuzzy membership functions assessed for overlay maps were mainly extracted from the field data. The benefit is that they don't need to conduct a new analysis, or change the rules, or the criteria, which saves time and effort. In fuzzy systems, values are indicated by a number (called a truth value) in the range from 0 to 1, where 0.0 represents absolute falseness and 1.0 represents absolute truth. While this range evokes the idea of probability, fuzzy logic and fuzzy sets operate quite differently from probability. The research paper is planned to develop a fuzzy logic based methodology for groundwater potential mapping for Jhagrabaria watershed of Shankargarh block in the Allahabad District of Uttar Pradesh State in India. The study area is covered by hard rock formations and faces acute water scarcity problem both for irrigation as well as for drinking purposes. To demonstrate the efficiency of the GIS for groundwater study, the specific objective of this study is to develop a spatial model using remote sensing and fuzzy techniques under GIS environment to predict groundwater potential zones. This study has been carried out to evaluate the groundwater potential zones in the study area. The soil and ldnduse maps were overlayed to get curve numbers as output. The geomorphology, slope and relief maps were considered as the factors.
机译:水是人类生命维持系统最重要的要求。在水文循环中,地下水是地球水循环系统的主要部分。地下水是饮用,灌溉和工业化目的所需的重要资源。在印度,超过74%的农村人口和近26%的城市人口依靠地下水来满足其饮水和生活需求。如今,遥感和地理信息系统(GIS)已成为在本地,区域和全球范围内分析地下水的必然工具。它有助于将遥感派生数据与辅助数据集成在一起,以获取有关地下水资源中各种因素的更精确信息。基于模糊逻辑的概念已在不同领域中找到了广泛的应用。土壤科学,环境科学,地球科学等。但是该方法在地下水检测领域使用最少。模糊逻辑允许访问和利用现象的已知成分。模糊逻辑为处理不确定性提供了非常精确的方法,这种不确定性源于人类行为的复杂性。评估覆盖图的模糊隶属度函数主要是从现场数据中提取的。这样做的好处是,他们无需进行新的分析或更改规则或标准,从而节省了时间和精力。在模糊系统中,值由介于0到1之间的数字(称为真值)表示,其中0.0表示绝对错误,而1.0表示绝对真实。尽管此范围唤起了概率的概念,但模糊逻辑和模糊集的操作与概率大不相同。该研究论文计划开发一种基于模糊逻辑的方法,用于印度北方邦阿拉哈巴德地区尚卡加块的贾格拉巴里亚流域的地下水位图。研究区域被坚硬的岩层覆盖,并且在灌溉和饮用方面都面临着严重的缺水问题。为了证明GIS在地下水研究中的有效性,本研究的特定目标是在GIS环境下使用遥感和模糊技术开发空间模型,以预测地下水的潜在地带。已经进行了这项研究以评估研究区域中的地下水潜在区。覆盖土壤和ldnduse贴图以获得曲线编号作为输出。地貌,坡度和地形图被认为是因素。

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