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Groundwater Resource Assessment by Applying Long-Term Trend Analysis of Spring Discharge, Water Level, and Hydroclimatic Parameters

Author

Listed:
  • Zhi-Qiang Yu

    (Kumamoto University)

  • Takahiro Hosono

    (Kumamoto University
    Kumamoto University)

  • Hiroki Amano

    (Tokai University)

  • Ronny Berndtsson

    (Lund University)

  • Kei Nakagawa

    (Nagasaki University)

Abstract

Groundwater accounting is becoming increasingly important for sustainable societal development. To gain insights into the long-term spatiotemporal changes from 1992 to 2015 regarding groundwater resources in Kumamoto, southern Japan, we analyzed climatological time series, discharge from the groundwater-fed lake (Ezu Lake), and groundwater levels from 94 wells. To explicitly detect temporal changes in these variables and assess potential drivers of change, we used three different trend analyses: the Mann-Kendall Test (MKT), Seasonal Mann-Kendall Test (SMKT), and Innovative Trend Analysis (ITA). Our results revealed a consistently increasing trend in monthly mean temperature, monthly total precipitation, and maximum hourly rainfall. However, a decreasing trend was detected for the discharge rate from the Ezu Lake from 1992 to 2015. Among the 94 investigated groundwater wells, 64 wells showed an upward trend (p ≤ 0.05), while 23 wells showed a downward trend (p ≤ 0.05) for groundwater level. The observed decline in groundwater level is related to the decline in Ezu Lake discharge. However, the increase for the majority of groundwater wells is related to the increased precipitation and applied artificial groundwater recharge as well as a decrease in the groundwater abstraction rate. The ITA outperformed both SMKT and MKT, particularly in detecting minor variations in hydrological time-series data. The results and approach presented in this study can provide a scientific basis for improve groundwater accounting and water resources management in Kumamoto area and other regions with similar climate and socioeconomic conditions.

Suggested Citation

  • Zhi-Qiang Yu & Takahiro Hosono & Hiroki Amano & Ronny Berndtsson & Kei Nakagawa, 2024. "Groundwater Resource Assessment by Applying Long-Term Trend Analysis of Spring Discharge, Water Level, and Hydroclimatic Parameters," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(11), pages 4161-4177, September.
  • Handle: RePEc:spr:waterr:v:38:y:2024:i:11:d:10.1007_s11269-024-03857-1
    DOI: 10.1007/s11269-024-03857-1
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    References listed on IDEAS

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    1. Takahiro Hosono & Chisato Yamada & Michael Manga & Chi-Yuen Wang & Masaharu Tanimizu, 2020. "Stable isotopes show that earthquakes enhance permeability and release water from mountains," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    2. T. Caloiero & R. Coscarelli & E. Ferrari, 2018. "Application of the Innovative Trend Analysis Method for the Trend Analysis of Rainfall Anomalies in Southern Italy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 4971-4983, December.
    3. Scott Jasechko & Hansjörg Seybold & Debra Perrone & Ying Fan & Mohammad Shamsudduha & Richard G. Taylor & Othman Fallatah & James W. Kirchner, 2024. "Rapid groundwater decline and some cases of recovery in aquifers globally," Nature, Nature, vol. 625(7996), pages 715-721, January.
    4. Barati, Ali Akbar & Azadi, Hossein & Scheffran, Jürgen, 2019. "A system dynamics model of smart groundwater governance," Agricultural Water Management, Elsevier, vol. 221(C), pages 502-518.
    5. Muhammad S. Ashraf & Ijaz Ahmad & Noor M. Khan & Fan Zhang & Ahmed Bilal & Jiali Guo, 2021. "Streamflow Variations in Monthly, Seasonal, Annual and Extreme Values Using Mann-Kendall, Spearmen’s Rho and Innovative Trend Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 243-261, January.
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