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Drought Detection of Regional Nonparametric Standardized Groundwater Index

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  • Hone-Jay Chu

    (National Cheng Kung University)

Abstract

Groundwater drought index characterizes hydrological drought, aquifer characteristics and human disturbance in the hydrological system. For drought management, the values of standardized groundwater index (SGI) at local and regional scales are usually determined in a specific site and regional area. The SGI in the studied area is influenced mainly by precipitation, hydrogeology, and human disturbance occurring in the high-usage pumping area. The underlying signals of SGI at local and regional scales can therefore be identified using data clustering and decomposition analysis e.g. empirical orthogonal functions (EOFs). Using cluster analysis, the three primary SGI clusters of the investigated aquifer are identified to be situated at the proximal fan, mid-fan, and distal fan areas. With EOF, the meteorological drought pattern and the trend of long-term pumping in the aquifer are also identified. Specifically, the meteorological drought pattern is mainly from the proximal fan, while the over-pumping signal is from the coastal area of the distal fan. The regional SGI integrated with EOF is a useful and direct way for detecting and quantifying groundwater drought. The proposed method for identifying drought signals and sustainable zone for water supply is a substantial step toward an effective regional groundwater resource planning.

Suggested Citation

  • Hone-Jay Chu, 2018. "Drought Detection of Regional Nonparametric Standardized Groundwater Index," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(9), pages 3119-3134, July.
  • Handle: RePEc:spr:waterr:v:32:y:2018:i:9:d:10.1007_s11269-018-1979-4
    DOI: 10.1007/s11269-018-1979-4
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    References listed on IDEAS

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    1. Mahdi Soleimani Motlagh & Hoda Ghasemieh & Ali Talebi & Khodayar Abdollahi, 2017. "Identification and Analysis of Drought Propagation of Groundwater During Past and Future Periods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 109-125, January.
    2. Chia-Sheng Hsieh & Tian-Yuan Shih & Jyr-Ching Hu & Hsin Tung & Mong-Han Huang & Jacques Angelier, 2011. "Using differential SAR interferometry to map land subsidence: a case study in the Pingtung Plain of SW Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(3), pages 1311-1332, September.
    3. G. Tsakiris & D. Pangalou & H. Vangelis, 2007. "Regional Drought Assessment Based on the Reconnaissance Drought Index (RDI)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(5), pages 821-833, May.
    4. Tayeb Raziei & Bahram Saghafian & Ana Paulo & Luis Pereira & Isabella Bordi, 2009. "Spatial Patterns and Temporal Variability of Drought in Western Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(3), pages 439-455, February.
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    Cited by:

    1. Veysel Aslan & Recep Çelik, 2021. "Integrated GIS-Based Multi-Criteria Analysis for Groundwater Potential Mapping in the Euphrates’s Sub-Basin, Harran Basin, Turkey," Sustainability, MDPI, vol. 13(13), pages 1-16, July.

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