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https://doi.org/10.5194/nhessd-3-6321-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhessd-3-6321-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
21 Oct 2015
Status: this discussion paper is a preprint. It has been under review for the journal Natural Hazards and Earth System Sciences (NHESS). The manuscript was not accepted for further review after discussion.
Approaches for delineating landslide hazard areas using receiver operating characteristic in an advanced calibrating precision soil erosion model
Abstract. Soil erosion is undesirable natural event that causes land degradation and desertification. Identify the erosion-prone areas is a major component of preventive measures. Recent landslide damages at different regions lead us to develop a model of the erosion susceptibility map using empirical method (RUSLE). A landslide-location map was established by interpreting satellite image. Field observation data was used to validate the intensity of soil erosion. Further, a correlation analysis was conducted to investigate the "Receiver Operating Characteristic" and frequency ratio. Results showed a satisfactory correlation between the prepared RUSLE-based soil erosion map and actual landslide distribution. The proposed model can effectively predict the landslide events in soil-erosion area. Such a reliable predictive model is an effective management facility for the regional landslide forecasting system.
How to cite. Ghazvinei, P. T., Zandi, J., Ariffin, J., Hashim, R. B., Motamedi, S., Aghamohammadi, N., and Moghaddam, D. A.: Approaches for delineating landslide hazard areas using receiver operating characteristic in an advanced calibrating precision soil erosion model, Nat. Hazards Earth Syst. Sci. Discuss., 3, 6321–6349, https://doi.org/10.5194/nhessd-3-6321-2015, 2015.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Status: closed
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC C2529: 'comments on Approaches for Delineating Landslide Hazard Areas Using Receiver Operating Characteristic in an Advanced Calibrating Precision Soil Erosion Model', Anonymous Referee #1, 10 Dec 2015
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RC C3189: 'nhessd-3-6321-2015', Anonymous Referee #2, 08 Feb 2016
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AC C3360: 'Response to the Referee's comments', Pezhman Taherei Ghazvinei, 02 Apr 2016
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC C2529: 'comments on Approaches for Delineating Landslide Hazard Areas Using Receiver Operating Characteristic in an Advanced Calibrating Precision Soil Erosion Model', Anonymous Referee #1, 10 Dec 2015
-
RC C3189: 'nhessd-3-6321-2015', Anonymous Referee #2, 08 Feb 2016
-
AC C3360: 'Response to the Referee's comments', Pezhman Taherei Ghazvinei, 02 Apr 2016
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P. T. Ghazvinei
Department of Civil Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia
Young Researchers and Elite Club, Parand Branch, Islamic Azad University, Parand, Iran
J. Zandi
Department of Watershed Management, College of Natural Resources Sciences, Sari University, Mazandaran, Iran
J. Ariffin
CORRESPONDING AUTHOR
Fluvial and River Engineering Dynamics Group, Institute of Infrastructure Engineering and Sustainability Management, Faculty of Civil Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia
R. B. Hashim
Department of Civil Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia
S. Motamedi
Department of Civil Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia
N. Aghamohammadi
Center for Occupational and Environmental Health, Department of Social and Preventive Medicine, University of Malaya, Kuala Lumpur, Malaysia
D. A. Moghaddam
Department of Environmental Engineering, Damavand Branch, Islamic Azad University, Damavand, Iran
Short summary
Correlation analysis was conducted to investigate the “Receiver Operating Characteristic” and frequency ratio. Results showed a satisfactory correlation between the prepared RUSLE-based soil erosion map and actual landslide distribution. The proposed model can effectively predict the landslide events in soil-erosion area. Such a reliable predictive model is an effective management facility for the regional landslide forecasting system.
Correlation analysis was conducted to investigate the “Receiver Operating Characteristic”...
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