11 Apr 2019
11 Apr 2019
Antecedent wetness and rainfall information in landslide threshold definition
- 1College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China
- 2Department of Civil Engineering, University of Bristol, Bristol, UK
- 3Key Laboratory of VGE of Ministry of Education, Nanjing Normal University, Nanjing, China
- 1College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China
- 2Department of Civil Engineering, University of Bristol, Bristol, UK
- 3Key Laboratory of VGE of Ministry of Education, Nanjing Normal University, Nanjing, China
Abstract. For rainfall-induced landslides, their occurrence is attributed to both the antecedent wetness condition and the recent rainfall condition. However, when defining rainfall thresholds for the landslide occurrence, these two types of information have been used incompletely or implicitly, which may affect the threshold's predictive capability. This study aims to investigate how to make a better use of these two types of information in the landslide threshold definition. Here four types of thresholds are proposed, by including different variables that are responsible for landslide occurrences, these thresholds could represent different cases, like whether to include the antecedent wetness information or whether to consider the recent rainfall condition explicitly. The predictive capability of these thresholds is then compared crossly with the help of the receiver operating characteristic (ROC) approach. We carry out this study in a northern Italian region called Emilia-Romagna. Results show that the antecedent wetness condition plays a crucial role in the occurrence of rainfall-induced landsides. It is beneficial for the threshold's predictive capability to explicitly include the antecedent wetness information and the recent rainfall in the definition of landslide thresholds. When including soil moisture information in landslide threshold, the reliability of the soil moisture measurement is a key factor affecting the threshold's prediction performance.
Binru Zhao et al.


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RC1: 'Comments from Reviewer', Dr. Max Oke Kluger, 18 Apr 2019
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AC1: 'Response to Referee #1', Binru Zhao, 03 May 2019
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AC1: 'Response to Referee #1', Binru Zhao, 03 May 2019
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RC2: 'Review of "Antecedent wetness and rainfall information in landslide threshold definition" by Zhao et al.', Ben Mirus, 25 Apr 2019
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AC2: 'Response to Referee #2', Binru Zhao, 03 May 2019
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AC2: 'Response to Referee #2', Binru Zhao, 03 May 2019


-
RC1: 'Comments from Reviewer', Dr. Max Oke Kluger, 18 Apr 2019
-
AC1: 'Response to Referee #1', Binru Zhao, 03 May 2019
-
AC1: 'Response to Referee #1', Binru Zhao, 03 May 2019
-
RC2: 'Review of "Antecedent wetness and rainfall information in landslide threshold definition" by Zhao et al.', Ben Mirus, 25 Apr 2019
-
AC2: 'Response to Referee #2', Binru Zhao, 03 May 2019
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AC2: 'Response to Referee #2', Binru Zhao, 03 May 2019
Binru Zhao et al.
Binru Zhao et al.
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Cited
4 citations as recorded by crossref.
- Assessment of simulated soil moisture from WRF Noah, Noah-MP, and CLM land surface schemes for landslide hazard application L. Zhuo et al. 10.5194/hess-23-4199-2019
- Investigation on the Role of Water for the Stability of Shallow Landslides—Insights from Experimental Tests V. Ivanov et al. 10.3390/w12041203
- An improved rainfall-threshold approach for robust prediction and warning of flood and flash flood hazards G. Ramos Filho et al. 10.1007/s11069-020-04405-x
- Application of hydrological model simulations in landslide predictions B. Zhao et al. 10.1007/s10346-019-01296-3