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Parameter Optimization of Conceptual Tank Model for Groundwater Level Prediction

  • Soon Min Ng
  • Mohd Ashraf Mohamad IsmailEmail author
  • Ismail Abustan
Conference paper
Part of the Lecture Notes in Civil Engineering book series (LNCE, volume 53)

Abstract

Groundwater is regarded as one of the critical factors that can affect slope stability. Thus, groundwater levels may render useful information regarding the stability conditions of a slope. This preliminary study focused on developing a simple and quick analytical tool to evaluate the groundwater levels due to rainfall for slope stability assessment. To achieve this objective, a well-established rainfall-runoff model known as tank model was adopted in this study. An instrumented soil slope located in Malaysia was used as the case study to investigate the effectiveness of the proposed approach. Rainfall and groundwater levels data for a period of 8 months were used to calibrate the tank model unknown parameters representing runoff, infiltration, groundwater flow and head. The tank model was able to produce a satisfactory root mean square error (RMSE) of 0.185 for the computed groundwater levels compared to the observed groundwater levels. To produce a more accurate prediction, it is recommended to utilize the multi tank models that are position at crest, middle and toe of the slope. An accurate groundwater levels prediction will contribute to a reliable slope stability analysis which is valuable for the landslide early warning system applications.

Keywords

Groundwater level prediction Tank model Slope stability Rainfall induced slope failure 

Notes

Acknowledgements

The authors would like to express their appreciation to Bridging Grant of Universiti Sains Malaysia (304 111/PAWAM/6316314) for the financial support to carry out this research.

References

  1. 1.
    Ching-Chuan H, Yih-Jang J, Lih-Kang H, Jin-Long L (2009) Internal soil moisture and piezometric responses to rainfall-induced shallow slope failures. J Hydrol 370(1–4):39–51CrossRefGoogle Scholar
  2. 2.
    Guzzetti F, Peruccacci S, Rossi M, Stark CP (2007) Rainfall thresholds for the initation of landslides in Central and Southern Europe. Meteorol Atmos Phys 98(3–4):239–267CrossRefGoogle Scholar
  3. 3.
    Hong Y-M, Wan S (2010) Forecasting groundwater level fluctuations for rainfall-induced landslide. Nat Hazards 57(2):167–184MathSciNetCrossRefGoogle Scholar
  4. 4.
    Huang AB, Lee JT, Ho YT, Chiu YF, Cheng SY (2012) Stability monitoring of rainfall-induced deep landslides through pore pressure profile measurements. Soils Found 52(4):737–747CrossRefGoogle Scholar
  5. 5.
    Koyama T, Takahashi K, Ramli M, Ohnishi Y (2008) Slope stability analysis using coupled tank model and saturated-unsaturated flow simulations. In: 3rd Taiwan-Japan joint workshop on geotechnical natural hazards. Keelung, Taiwan, pp 1–10Google Scholar
  6. 6.
    Kuok KK, Harun S, Chiu PC (2011) Auto-calibration of daily and hourly tank model’s parameters using genetic algorithm. Malays J Civil Eng 23(2)Google Scholar
  7. 7.
    Perera EDP, Lahat L (2015) Fuzzy logic based flood forecasting model for the Kelantan River basin, Malaysia. J Hydro-Environ Res 9(4):542–553CrossRefGoogle Scholar
  8. 8.
    Public Works Department of Malaysia, P (2008) National slope master plan of MalaysiaGoogle Scholar
  9. 9.
    Sengupta A, Gupta S, Anbarasu K (2010) Rainfall thresholds for the initiation of landslide at Lanta Khola in north Sikkim, India. Nat Hazards 52(1):31–42CrossRefGoogle Scholar
  10. 10.
    Sugawara M (1995) Tank model. Comput Models Watershed Hydrol, 165–214Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Soon Min Ng
    • 1
  • Mohd Ashraf Mohamad Ismail
    • 2
    Email author
  • Ismail Abustan
    • 2
  1. 1.School of Energy, Geoscience, Infrastructure and SocietyHeriot-Watt University MalaysiaPutrajayaMalaysia
  2. 2.School of Civil EngineeringUniversiti Sains Malaysia (USM)Pulau PinangMalaysia

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