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Henry’s gas solubility optimization algorithm in formulating deep neural network for landslide susceptibility assessment in mountainous areas

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Abstract

This paper investigates a novel hybrid model that employs Henry’s gas solubility optimization algorithm to search for adaptive weights of a deep neural network for a landslide susceptibility application. The model is trained using 13 features from a case study site in Viet Nam, including topographically derived data, satellite-derived indexes, physical and climatic information. The training and validating process terminated with the Root mean square error = 0.3898, Mean absolute error = 0.3115, Area under Receiving characteristic curves = 0.862, and Overall accuracy = 0.7831. The results show that the proposed model outperforms other methods, and it was used to map the susceptible level of the entire study area. Therefore, this model can be used as an alternative method for similar landslide studies and other natural hazard analyses, given input data availability.

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Data availability

The data are extractable from Vietnam institute of geosciences and mineral resources at http://www.canhbaotruotlo.vn/ and https://earthexplorer.usgs.gov/

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Authors and Affiliations

  1. Water Resources Engineering, and Infrastructure Engineering, College of Construction and Development, Feng Chia University, Taichung, 40724, Taiwan ROC

    Quoc-Huy Nguyen

  2. Center for Applied Research in Remote Sensing and GIS (CARGIS), Faculty of Geography, VNU University of Science, Vietnam National University, Ha Noi, Vietnam

    Quoc-Huy Nguyen & Quang-Thanh Bui

  3. GIS Research Center, Feng Chia University, Taichung, Taiwan ROC

    Tien-Yin Chou, Mei-Ling Yeh & Thanh-Van Hoang

  4. Faculty of Geography, VNU University of Science, Vietnam National University, Ha Noi, Vietnam

    Huu-Duy Nguyen & Quang-Thanh Bui

Authors
  1. Quoc-Huy Nguyen
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  2. Tien-Yin Chou
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  3. Mei-Ling Yeh
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  4. Thanh-Van Hoang
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  5. Huu-Duy Nguyen
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Contributions

The work was conceptualized by QHN, TYC, TVH, HDN, QTB. Data was curated by QHN, HDN. The formal analysis was investigated by all authors. All authors wrote the manuscript.

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Correspondence to Quang-Thanh Bui.

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Nguyen, QH., Chou, TY., Yeh, ML. et al. Henry’s gas solubility optimization algorithm in formulating deep neural network for landslide susceptibility assessment in mountainous areas. Environ Earth Sci 80, 414 (2021). https://doi.org/10.1007/s12665-021-09711-6

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