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Geographic Information System and Remote Sensing in Deciphering Groundwater Potential Zones

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Emerging Technologies for Water Supply, Conservation and Management

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Abstract

Innovations in the techniques of Remote Sensing (RS) and Geographic Information System (GIS) have recently increased the demand for the effectiveness of predicting the potential of groundwater in the world, improving map accuracy. In this chapter, you will learn how to use GIS and RS techniques to decipher groundwater potential zones (GWPZs). We start with definitions and descriptions of conditioning factors (CFs) for groundwater potential. Then, we introduce and discuss various GIS-based techniques in detail in mapping groundwater potential zones. The GIS techniques, including Analytic Hierarchy Process (AHP), Fuzzy Logic (FL), Multi-Influencing Factor (MIF), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Frequency Ratio (FR), were introduced in this chapter. Notice that the term “groundwater potential” is used in this book to indicate the ability of the occurrence of a specific groundwater yield when prerequisites exist. Nevertheless, this term also refers to the ability to occur in spring or non-spring or groundwater storage. The result shows that the high potential of groundwater yield >10 m3/h was distributed mainly in the eastern Kanchanaburi. However, a difference was observed in terms of area extent in the output maps. The MIF, AHP, and FR models reached good results according to 78%, 71%, and 70% in validation, whereas the accuracy of the FL and TOPSIS model was 64% and 51%, respectively.

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Acknowledgements

The researchers would like to thank the Interdisciplinary Program in Environmental Science, Graduate School, Chulalongkorn University and Hue University of Agriculture and Forestry, Hue University. We acknowledge partially financial support from the Thailand Science research and Innovation Fund Chulalongkorn University (CU_FRB65_dis(2)_090_23_20) and the Ratchadapisek Sompoch Endowment Fund (2022), Chulalongkorn University (765007-RES02), the ASEAN/NON-ASEAN Scholarship and the 90TH Anniversary of Chulalongkorn University Scholarship.

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Authors and Affiliations

  1. Graduate School, Interdisciplinary Program in Environmental Science, Chulalongkorn University, Bangkok, 10330, Thailand

    Nguyen Ngoc Thanh

  2. University of Agriculture and Forestry, Hue University, 102 Phung Hung Str, Hue City, Thua Thien Hue, 53000, Vietnam

    Nguyen Ngoc Thanh

  3. Department of Geology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand

    Srilert Chotpantarat

  4. Center of Excellence in Environmental Innovation and Management of Metals (EnvIMM), Environmental Research Institute, Chulalongkorn University (ERIC), Bangkok, 10330, Thailand

    Srilert Chotpantarat

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  1. Nguyen Ngoc Thanh
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Correspondence to Srilert Chotpantarat .

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Editors and Affiliations

  1. Department of Geology, Sri Venkateswara University, Tirupati, Andhra Pradesh, India

    Etikala Balaji

  2. Department of Geology, Sri Venkateswara University, Tirupati, Andhra Pradesh, India

    Golla Veeraswamy

  3. Department of Geology, Central Tribal University of Andhra Pradesh, Vizianagaram, Andhra Pradesh, India

    Prasad Mannala

  4. Department of Civil Engineering, Jamia Millia Islamia, New Delhi, Delhi, India

    Sughosh Madhav

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Thanh, N.N., Chotpantarat, S. (2023). Geographic Information System and Remote Sensing in Deciphering Groundwater Potential Zones. In: Balaji, E., Veeraswamy, G., Mannala, P., Madhav, S. (eds) Emerging Technologies for Water Supply, Conservation and Management. Springer Water. Springer, Cham. https://doi.org/10.1007/978-3-031-35279-9_7

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