Spatio-Temporal Landslide Hazard Mapping Using Coupled Hydrological Model in Mt Umyeon, Seoul

Ananta Man Singh Pradhan; Yun-Tae Kim

doi:doi:10.11648/j.larp.20170203.13

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Spatio-Temporal Landslide Hazard Mapping Using Coupled Hydrological Model in Mt Umyeon, Seoul

Ananta Man Singh Pradhan, Yun-Tae Kim

Published in Landscape Architecture and Regional Planning (Volume 2, Issue 3)

Received: 26 July 2017 Accepted: 10 August 2017 Published: 25 August 2017

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Abstract

Landslide hazard maps are important for risk management and land-use planning in mountainous countries such as Korea. The aim of this study was to produce and evaluate a shallow landslide hazard map using a physically based slope stability model coupling with hydrological models in Mt Umyeon, South Korea. The incorporation of a rainfall frequency–duration relationship of heavy rainfall into the assessment of landslide hazard provides a practical way to include climate information into the estimation of shallow landslide hazard. A GIS-based landslide inventory map of 146 landslide locations was prepared using data from previous reports, aerial photographic interpretation, and extensive field work. And this landslide inventory was used to document sites of instability and to provide a test of model performance by comparing observed landslide locations with model predictions. A combined approach of Quasi-dynamic wetness (QDWI) and infinite slope model was used to prepare landslide hazard maps of different durations i.e. considering 17hr duration with average rainfall intensity (case I), 15hr duration with average rainfall intensity (case II) and the last 2hr duration and average intensity added in case II (case III). The results of the analysis were verified using the landslide location data. Receiver operating curve was used to compare all cases. The case III shows satisfactory agreement between hazard map and the existing data on landslide locations with 82.2% accuracy of the model. The results of this study can therefore be used to mitigate landslide-induced hazards and to plan land-use.

Published in	Landscape Architecture and Regional Planning (Volume 2, Issue 3)
DOI	10.11648/j.larp.20170203.13
Page(s)	83-88
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

QDWI, Infinite Slope, Rainfall, Mt Umyeon

References

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[2]	Pradhan A. M. S. and Kim Y. T. (2015) Application and comparison of shallow landslide susceptibility models in weathered granite soil under extreme rainfall events. Environmental Earth Sciences. Vol: 73, No. 9. pp. 5761–5771.
[3]	Guzzetti F., Reichenbach P., Cardinali M., Galli M., and Ardizzone F. (2005) Probabilistic landslide hazard assessment at the basin scale. Geomorphology. Vol. 72, pp. 272–299.
[4]	Carrara A., Cardinali M., Detti R., Guzzetti F., Pasqui V., and Reichenback P. (1991) GIS techniques and statistical models in evaluating landslide hazard. Earth Surf. Processes Landforms, Vol. 16. pp. 427–445.
[5]	Pradhan A. M S., Kang H. S., Lee J. S., Kim Y. T. (2017) An ensemble landslide hazard model incorporating rainfall threshold for Mt. Umyeon, South Korea. Bulletin of Engineering Geology and the Environment, pp. 1-16. (online first).
[6]	Pradhan A. M. S., Kim Y. T. (2017) GIS-based landslide susceptibility model considering effective contributing area for drainage time. Geocarto International, pp. 1-20. (online first).
[7]	Saro L., Woo J. S., Kwan-Young O., Moung-Jin L. (2016) The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea. Open Geosciences, Vol. 8, No. 1. pp. 117-132.
[8]	Montgomery D. R. and Dietrich W. E. (1994): A physically based model for the topographic control on shallow landsliding. Water Resources Research Vol. 30. pp. 1153–1171.
[9]	O’Loughlin E. M. (1986) Prediction of surface saturation zones in natural catchments by topographic analysis, Water Resources Research, Vol. 22, No. 5. pp. 794–804.
[10]	Tarolli P., Borga M., Chang K. T., Chiang S. H. (2011). Modeling shallow landsliding susceptibility by incorporating heavy rainfall statistical properties. Geomorphology. Vol. 133. No. 3. pp. 199-211.
[11]	Brunsden, D. and Prior, D. B. (1984) Slope Stability. New York, Wiley, pp. 620.
[12]	Borga, M., Dalla Fontana, G., and Cazorzi, F. (2002) Analysis of topographic and climatic control on rainfall-triggered shallow landsliding using a quasi-dynamic wetness index, J. Hydrol., Vol. 268, pp. 56–71.
[13]	Barling, D. B., Moore, I. D., and Grayson, R. B. (1994) A quasi-dynamic wetness index for characterizing the spatial distribution of zones of surface saturation and soil water content, Water Resour. Res., Vol. 30, pp. 1029–1044.
[14]	Koutsoyiannis, D., Kozonis, D., and Manetas, A. (1998) A mathematical framework for studying rainfall intensity-duration-frequency relationships, J. Hydrol., Vol. 206. pp. 118–135.
[15]	Ceresetti, D., Molinié, G., and Creutin, J.-D. (2010) Scaling properties of heavy rainfall at short duration: A regional analysis, Water Resour. Res., Vol. 46, W09531, doi: 10.1029/2009WR008603.
[16]	Aronica, G. T., Brigandí, G., and Morey, N. (2012) Flash ﬂoods and debris ﬂow in the city area of Messina, north-east part of Sicily, Italy in October 2009: the case of the Giampilieri catchment, Nat. Hazards Earth Syst. Sci., Vol. 12, pp. 1295–1309.

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Ananta Man Singh Pradhan, Yun-Tae Kim. (2017). Spatio-Temporal Landslide Hazard Mapping Using Coupled Hydrological Model in Mt Umyeon, Seoul. Landscape Architecture and Regional Planning, 2(3), 83-88. https://doi.org/10.11648/j.larp.20170203.13

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ACS Style

Ananta Man Singh Pradhan; Yun-Tae Kim. Spatio-Temporal Landslide Hazard Mapping Using Coupled Hydrological Model in Mt Umyeon, Seoul. Landsc. Archit. Reg. Plan. 2017, 2(3), 83-88. doi: 10.11648/j.larp.20170203.13

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AMA Style

Ananta Man Singh Pradhan, Yun-Tae Kim. Spatio-Temporal Landslide Hazard Mapping Using Coupled Hydrological Model in Mt Umyeon, Seoul. Landsc Archit Reg Plan. 2017;2(3):83-88. doi: 10.11648/j.larp.20170203.13

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@article{10.11648/j.larp.20170203.13,
  author = {Ananta Man Singh Pradhan and Yun-Tae Kim},
  title = {Spatio-Temporal Landslide Hazard Mapping Using Coupled Hydrological Model in Mt Umyeon, Seoul},
  journal = {Landscape Architecture and Regional Planning},
  volume = {2},
  number = {3},
  pages = {83-88},
  doi = {10.11648/j.larp.20170203.13},
  url = {https://doi.org/10.11648/j.larp.20170203.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.larp.20170203.13},
  abstract = {Landslide hazard maps are important for risk management and land-use planning in mountainous countries such as Korea. The aim of this study was to produce and evaluate a shallow landslide hazard map using a physically based slope stability model coupling with hydrological models in Mt Umyeon, South Korea. The incorporation of a rainfall frequency–duration relationship of heavy rainfall into the assessment of landslide hazard provides a practical way to include climate information into the estimation of shallow landslide hazard. A GIS-based landslide inventory map of 146 landslide locations was prepared using data from previous reports, aerial photographic interpretation, and extensive field work. And this landslide inventory was used to document sites of instability and to provide a test of model performance by comparing observed landslide locations with model predictions. A combined approach of Quasi-dynamic wetness (QDWI) and infinite slope model was used to prepare landslide hazard maps of different durations i.e. considering 17hr duration with average rainfall intensity (case I), 15hr duration with average rainfall intensity (case II) and the last 2hr duration and average intensity added in case II (case III). The results of the analysis were verified using the landslide location data. Receiver operating curve was used to compare all cases. The case III shows satisfactory agreement between hazard map and the existing data on landslide locations with 82.2% accuracy of the model. The results of this study can therefore be used to mitigate landslide-induced hazards and to plan land-use.},
 year = {2017}
}

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TY - JOUR
T1 - Spatio-Temporal Landslide Hazard Mapping Using Coupled Hydrological Model in Mt Umyeon, Seoul
AU - Ananta Man Singh Pradhan
AU - Yun-Tae Kim
Y1 - 2017/08/25
PY - 2017
N1 - https://doi.org/10.11648/j.larp.20170203.13
DO - 10.11648/j.larp.20170203.13
T2 - Landscape Architecture and Regional Planning
JF - Landscape Architecture and Regional Planning
JO - Landscape Architecture and Regional Planning
SP - 83
EP - 88
PB - Science Publishing Group
SN - 2637-4374
UR - https://doi.org/10.11648/j.larp.20170203.13
AB - Landslide hazard maps are important for risk management and land-use planning in mountainous countries such as Korea. The aim of this study was to produce and evaluate a shallow landslide hazard map using a physically based slope stability model coupling with hydrological models in Mt Umyeon, South Korea. The incorporation of a rainfall frequency–duration relationship of heavy rainfall into the assessment of landslide hazard provides a practical way to include climate information into the estimation of shallow landslide hazard. A GIS-based landslide inventory map of 146 landslide locations was prepared using data from previous reports, aerial photographic interpretation, and extensive field work. And this landslide inventory was used to document sites of instability and to provide a test of model performance by comparing observed landslide locations with model predictions. A combined approach of Quasi-dynamic wetness (QDWI) and infinite slope model was used to prepare landslide hazard maps of different durations i.e. considering 17hr duration with average rainfall intensity (case I), 15hr duration with average rainfall intensity (case II) and the last 2hr duration and average intensity added in case II (case III). The results of the analysis were verified using the landslide location data. Receiver operating curve was used to compare all cases. The case III shows satisfactory agreement between hazard map and the existing data on landslide locations with 82.2% accuracy of the model. The results of this study can therefore be used to mitigate landslide-induced hazards and to plan land-use.
VL - 2
IS - 3
ER -

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Author Information

Ananta Man Singh Pradhan

Department of Ocean Engineering, Pukyong National University, Busan, South Korea
Yun-Tae Kim

Department of Ocean Engineering, Pukyong National University, Busan, South Korea

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APA Style

Ananta Man Singh Pradhan, Yun-Tae Kim. (2017). Spatio-Temporal Landslide Hazard Mapping Using Coupled Hydrological Model in Mt Umyeon, Seoul. Landscape Architecture and Regional Planning, 2(3), 83-88. https://doi.org/10.11648/j.larp.20170203.13

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ACS Style

Ananta Man Singh Pradhan; Yun-Tae Kim. Spatio-Temporal Landslide Hazard Mapping Using Coupled Hydrological Model in Mt Umyeon, Seoul. Landsc. Archit. Reg. Plan. 2017, 2(3), 83-88. doi: 10.11648/j.larp.20170203.13

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AMA Style

Ananta Man Singh Pradhan, Yun-Tae Kim. Spatio-Temporal Landslide Hazard Mapping Using Coupled Hydrological Model in Mt Umyeon, Seoul. Landsc Archit Reg Plan. 2017;2(3):83-88. doi: 10.11648/j.larp.20170203.13

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@article{10.11648/j.larp.20170203.13,
  author = {Ananta Man Singh Pradhan and Yun-Tae Kim},
  title = {Spatio-Temporal Landslide Hazard Mapping Using Coupled Hydrological Model in Mt Umyeon, Seoul},
  journal = {Landscape Architecture and Regional Planning},
  volume = {2},
  number = {3},
  pages = {83-88},
  doi = {10.11648/j.larp.20170203.13},
  url = {https://doi.org/10.11648/j.larp.20170203.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.larp.20170203.13},
  abstract = {Landslide hazard maps are important for risk management and land-use planning in mountainous countries such as Korea. The aim of this study was to produce and evaluate a shallow landslide hazard map using a physically based slope stability model coupling with hydrological models in Mt Umyeon, South Korea. The incorporation of a rainfall frequency–duration relationship of heavy rainfall into the assessment of landslide hazard provides a practical way to include climate information into the estimation of shallow landslide hazard. A GIS-based landslide inventory map of 146 landslide locations was prepared using data from previous reports, aerial photographic interpretation, and extensive field work. And this landslide inventory was used to document sites of instability and to provide a test of model performance by comparing observed landslide locations with model predictions. A combined approach of Quasi-dynamic wetness (QDWI) and infinite slope model was used to prepare landslide hazard maps of different durations i.e. considering 17hr duration with average rainfall intensity (case I), 15hr duration with average rainfall intensity (case II) and the last 2hr duration and average intensity added in case II (case III). The results of the analysis were verified using the landslide location data. Receiver operating curve was used to compare all cases. The case III shows satisfactory agreement between hazard map and the existing data on landslide locations with 82.2% accuracy of the model. The results of this study can therefore be used to mitigate landslide-induced hazards and to plan land-use.},
 year = {2017}
}

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