Articles | Volume 18, issue 3
https://doi.org/10.5194/nhess-18-807-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-807-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication: Using averaged soil moisture estimates to improve the performances of a regional-scale landslide early warning system
Department of Earth Sciences, University of Florence,
Firenze, 50121, Italy
Ascanio Rosi
Department of Earth Sciences, University of Florence,
Firenze, 50121, Italy
Daniela Lagomarsino
Department of Earth Sciences, University of Florence,
Firenze, 50121, Italy
now at: Eni S.p.A, S. Donato Milanese, Milano, Italy
Riccardo Fanti
Department of Earth Sciences, University of Florence,
Firenze, 50121, Italy
Nicola Casagli
Department of Earth Sciences, University of Florence,
Firenze, 50121, Italy
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Cited
69 citations as recorded by crossref.
- Using a Tank Model to Determine Hydro-Meteorological Thresholds for Large-Scale Landslides in Taiwan G. Lin et al. 10.3390/w12010253
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- Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation N. Nocentini et al. 10.1007/s10346-023-02176-7
- Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. 10.5194/nhess-18-2183-2018
- Towards establishing rainfall thresholds for a real-time landslide early warning system in Sikkim, India G. Harilal et al. 10.1007/s10346-019-01244-1
- Selecting optimal conditioning parameters for landslide susceptibility: an experimental research on Aqabat Al-Sulbat, Saudi Arabia S. Alqadhi et al. 10.1007/s11356-021-15886-z
- Three-dimensional hydrological thresholds to predict shallow landslides S. Lee et al. 10.1007/s44195-023-00052-4
- Towards landslide space-time forecasting through machine learning: the influence of rainfall parameters and model setting N. Nocentini et al. 10.3389/feart.2023.1152130
- Estimating Rainfall Thresholds for Landslide Occurrence in the Bhutan Himalayas A. Dikshit et al. 10.3390/w11081616
- Rainfall threshold for initiating effective stress decrease and failure in weathered tephra slopes M. Kluger et al. 10.1007/s10346-019-01289-2
- Development of community-based landslide early warning system in the earthquake-affected areas of Nepal Himalaya P. Thapa & B. Adhikari 10.1007/s11629-019-5586-5
- Definition of 3D rainfall thresholds to increase operative landslide early warning system performances A. Rosi et al. 10.1007/s10346-020-01523-2
- Developing Hydro-Meteorological Thresholds for Shallow Landslide Initiation and Early Warning B. Mirus et al. 10.3390/w10091274
- Development of a soil moisture forecasting method for a landslide early warning system (LEWS): Pilot cases in coastal regions of Brazil I. Sousa et al. 10.1016/j.jsames.2023.104631
- Investigation of the functional relationship between antecedent rainfall and the probability of debris flow occurrence in Jiangjia Gully, China S. Zhang et al. 10.5194/hess-28-2343-2024
- Simulated or measured soil moisture: which one is adding more value to regional landslide early warning? A. Wicki et al. 10.5194/hess-25-4585-2021
- From empirically to physically based early warning predictions of rainfall-induced landslides in silty volcanic soils: the Lattari Mountains case study G. Rianna et al. 10.1007/s10064-023-03228-x
- Landslide susceptibility modeling using bivariate statistical-based logistic regression, naïve Bayes, and alternating decision tree models W. Chen & Z. Yang 10.1007/s10064-023-03216-1
- Learning in an interactive simulation tool against landslide risks: the role of strength and availability of experiential feedback P. Chaturvedi et al. 10.5194/nhess-18-1599-2018
- Assessing the potential of soil moisture measurements for regional landslide early warning A. Wicki et al. 10.1007/s10346-020-01400-y
- Prediction of landslides by machine learning algorithms and statistical methods in Iran S. Khezri et al. 10.1007/s12665-022-10388-8
- Geohazards Susceptibility Assessment along the Upper Indus Basin Using Four Machine Learning and Statistical Models H. Ahmad et al. 10.3390/ijgi10050315
- Developing a Dynamic Web-GIS Based Landslide Early Warning System for the Chittagong Metropolitan Area, Bangladesh B. Ahmed et al. 10.3390/ijgi7120485
- Assessing the Feasibility of Satellite‐Based Thresholds for Hydrologically Driven Landsliding M. Thomas et al. 10.1029/2019WR025577
- Forecasting of Landslides Using Rainfall Severity and Soil Wetness: A Probabilistic Approach for Darjeeling Himalayas M. Abraham et al. 10.3390/w12030804
- Performance evaluation of soil water content observation from satellite images in sediment disaster-prone area R. Hapsari et al. 10.1088/1757-899X/1073/1/012018
- Preface: Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception S. Segoni et al. 10.5194/nhess-18-3179-2018
- Understanding the public responses to landslide countermeasures in southwest China H. Huang et al. 10.1016/j.ijdrr.2021.102500
- Usage of antecedent soil moisture for improving the performance of rainfall thresholds for landslide early warning M. Abraham et al. 10.1016/j.catena.2021.105147
- A multiobjective evolutionary optimization method based critical rainfall thresholds for debris flows initiation Y. Yan et al. 10.1007/s11629-019-5812-1
- Regional landslide hazard assessment through integrating susceptibility index and rainfall process Z. Wang et al. 10.1007/s11069-020-04265-5
- Landslide Hazard Assessment Map as an Element Supporting Spatial Planning: The Flysch Carpathians Region Study I. Skrzypczak et al. 10.3390/rs13020317
- Rainfall Threshold Estimation and Landslide Forecasting for Kalimpong, India Using SIGMA Model M. Abraham et al. 10.3390/w12041195
- Recent advancements of landslide hydrology R. Greco et al. 10.1002/wat2.1675
- Temporal Probability Assessment and Its Use in Landslide Susceptibility Mapping for Eastern Bhutan A. Dikshit et al. 10.3390/w12010267
- Early warning of shallow landslides: Monitoring of pre-failure suction-induced deformation L. Coppola et al. 10.1051/e3sconf/202454402001
- Rainfall threshold calculation for debris flow early warning in areas with scarcity of data H. Pan et al. 10.5194/nhess-18-1395-2018
- Soil moisture dynamics near a gully head in relation to the trigger of collapse in granite red soil slope in southern China Z. Zou et al. 10.1016/j.geomorph.2022.108493
- Quantifying the effect of surface heterogeneity on soil moisture across regions and surface characteristic S. Fathololoumi et al. 10.1016/j.jhydrol.2021.126132
- Rainfall-Induced Landslides forecast using local precipitation and global climate indexes I. Fustos et al. 10.1007/s11069-020-03913-0
- A Regional-Scale Landslide Warning System Based on 20 Years of Operational Experience S. Segoni et al. 10.3390/w10101297
- Exploring ERA5 reanalysis potentialities for supporting landslide investigations: a test case from Campania Region (Southern Italy) A. Reder & G. Rianna 10.1007/s10346-020-01610-4
- Probabilistic Hydrological Estimation of LandSlides (PHELS): global ensemble landslide hazard modelling A. Felsberg et al. 10.5194/nhess-23-3805-2023
- Evaluation of Remotely Sensed Soil Moisture for Landslide Hazard Assessment L. Zhuo et al. 10.1109/JSTARS.2018.2883361
- Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data N. Palazzolo et al. 10.5194/nhess-23-279-2023
- Rainfall Thresholds for Prediction of Landslides in Idukki, India: An Empirical Approach M. Abraham et al. 10.3390/w11102113
- HydroMet: A New Code for Automated Objective Optimization of Hydrometeorological Thresholds for Landslide Initiation J. Conrad et al. 10.3390/w13131752
- The Norwegian forecasting and warning service for rainfall- and snowmelt-induced landslides I. Krøgli et al. 10.5194/nhess-18-1427-2018
- 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
- Application of hydrological modelling for temporal prediction of rainfall-induced shallow landslides N. Bezak et al. 10.1007/s10346-019-01169-9
- IoT-Based Geotechnical Monitoring of Unstable Slopes for Landslide Early Warning in the Darjeeling Himalayas M. Abraham et al. 10.3390/s20092611
- Modelling rainfall-induced landslides at a regional scale, a machine learning based approach S. Magrì et al. 10.1007/s10346-023-02173-w
- Soil moisture information can improve shallow landslide forecasting using the hydrometeorological threshold approach P. Marino et al. 10.1007/s10346-020-01420-8
- Detection and forecasting of shallow landslides: lessons from a natural laboratory R. Bainbridge et al. 10.1080/19475705.2022.2041108
- Landslide Susceptibility Modeling Using Integrated Ensemble Weights of Evidence with Logistic Regression and Random Forest Models W. Chen et al. 10.3390/app9010171
- 4D electrical resistivity to monitor unstable slopes in mountainous tropical regions: an example from Munnar, India A. Watlet et al. 10.1007/s10346-023-02029-3
- A systematic review on rainfall thresholds for landslides occurrence F. Gonzalez et al. 10.1016/j.heliyon.2023.e23247
- The Selection of Rain Gauges and Rainfall Parameters in Estimating Intensity-Duration Thresholds for Landslide Occurrence: Case Study from Wayanad (India) M. Abraham et al. 10.3390/w12041000
- Pre-failure suction-induced deformation to inform early warning of shallow landslides: Proof of concept at slope model scale L. Coppola et al. 10.1016/j.enggeo.2022.106834
- Hillslopes in humid‐tropical climates aren't always wet: Implications for hydrologic response and landslide initiation in Puerto Rico M. Thomas et al. 10.1002/hyp.13885
- Forecasting Landslides Using Mobility Functions: A Case Study from Idukki District, India M. Abraham et al. 10.1007/s40098-020-00490-8
- Using distributed root soil moisture data to enhance the performance of rainfall thresholds for landslide warning Y. Guo et al. 10.1007/s11069-022-05588-1
- Scaling land-surface variables for landslide detection F. Sîrbu et al. 10.1186/s40645-019-0290-1
- Forecasting landslides using SIGMA model: a case study from Idukki, India M. Abraham et al. 10.1080/19475705.2021.1884610
- Exploring the Use of Pattern Classification Approaches for the Recognition of Landslide-Triggering Rainfalls A. Rosi 10.3390/su152015145
- Multimodal multiscale characterization of cascading hazard on mountain terrain R. Talchabhadel et al. 10.1080/19475705.2022.2162443
- Prototype of an IoT-Based Low-Cost Sensor Network for the Hydrological Monitoring of Landslide-Prone Areas P. Marino et al. 10.3390/s23042299
- A remote-sensing-based intensity–duration threshold, Faifa Mountains, Saudi Arabia S. Karki et al. 10.5194/nhess-19-1235-2019
- Stability Analysis of the Shiliushubao Landslide Based on Deformation Characteristics and External Trigger Factors in the Three Gorges Reservoir G. Luo et al. 10.1155/2021/2714918
69 citations as recorded by crossref.
- Using a Tank Model to Determine Hydro-Meteorological Thresholds for Large-Scale Landslides in Taiwan G. Lin et al. 10.3390/w12010253
- Implementation of hydrometeorological thresholds for regional landslide warning in Catalonia (NE Spain) R. Palau et al. 10.1007/s10346-023-02094-8
- Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation N. Nocentini et al. 10.1007/s10346-023-02176-7
- Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. 10.5194/nhess-18-2183-2018
- Towards establishing rainfall thresholds for a real-time landslide early warning system in Sikkim, India G. Harilal et al. 10.1007/s10346-019-01244-1
- Selecting optimal conditioning parameters for landslide susceptibility: an experimental research on Aqabat Al-Sulbat, Saudi Arabia S. Alqadhi et al. 10.1007/s11356-021-15886-z
- Three-dimensional hydrological thresholds to predict shallow landslides S. Lee et al. 10.1007/s44195-023-00052-4
- Towards landslide space-time forecasting through machine learning: the influence of rainfall parameters and model setting N. Nocentini et al. 10.3389/feart.2023.1152130
- Estimating Rainfall Thresholds for Landslide Occurrence in the Bhutan Himalayas A. Dikshit et al. 10.3390/w11081616
- Rainfall threshold for initiating effective stress decrease and failure in weathered tephra slopes M. Kluger et al. 10.1007/s10346-019-01289-2
- Development of community-based landslide early warning system in the earthquake-affected areas of Nepal Himalaya P. Thapa & B. Adhikari 10.1007/s11629-019-5586-5
- Definition of 3D rainfall thresholds to increase operative landslide early warning system performances A. Rosi et al. 10.1007/s10346-020-01523-2
- Developing Hydro-Meteorological Thresholds for Shallow Landslide Initiation and Early Warning B. Mirus et al. 10.3390/w10091274
- Development of a soil moisture forecasting method for a landslide early warning system (LEWS): Pilot cases in coastal regions of Brazil I. Sousa et al. 10.1016/j.jsames.2023.104631
- Investigation of the functional relationship between antecedent rainfall and the probability of debris flow occurrence in Jiangjia Gully, China S. Zhang et al. 10.5194/hess-28-2343-2024
- Simulated or measured soil moisture: which one is adding more value to regional landslide early warning? A. Wicki et al. 10.5194/hess-25-4585-2021
- From empirically to physically based early warning predictions of rainfall-induced landslides in silty volcanic soils: the Lattari Mountains case study G. Rianna et al. 10.1007/s10064-023-03228-x
- Landslide susceptibility modeling using bivariate statistical-based logistic regression, naïve Bayes, and alternating decision tree models W. Chen & Z. Yang 10.1007/s10064-023-03216-1
- Learning in an interactive simulation tool against landslide risks: the role of strength and availability of experiential feedback P. Chaturvedi et al. 10.5194/nhess-18-1599-2018
- Assessing the potential of soil moisture measurements for regional landslide early warning A. Wicki et al. 10.1007/s10346-020-01400-y
- Prediction of landslides by machine learning algorithms and statistical methods in Iran S. Khezri et al. 10.1007/s12665-022-10388-8
- Geohazards Susceptibility Assessment along the Upper Indus Basin Using Four Machine Learning and Statistical Models H. Ahmad et al. 10.3390/ijgi10050315
- Developing a Dynamic Web-GIS Based Landslide Early Warning System for the Chittagong Metropolitan Area, Bangladesh B. Ahmed et al. 10.3390/ijgi7120485
- Assessing the Feasibility of Satellite‐Based Thresholds for Hydrologically Driven Landsliding M. Thomas et al. 10.1029/2019WR025577
- Forecasting of Landslides Using Rainfall Severity and Soil Wetness: A Probabilistic Approach for Darjeeling Himalayas M. Abraham et al. 10.3390/w12030804
- Performance evaluation of soil water content observation from satellite images in sediment disaster-prone area R. Hapsari et al. 10.1088/1757-899X/1073/1/012018
- Preface: Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception S. Segoni et al. 10.5194/nhess-18-3179-2018
- Understanding the public responses to landslide countermeasures in southwest China H. Huang et al. 10.1016/j.ijdrr.2021.102500
- Usage of antecedent soil moisture for improving the performance of rainfall thresholds for landslide early warning M. Abraham et al. 10.1016/j.catena.2021.105147
- A multiobjective evolutionary optimization method based critical rainfall thresholds for debris flows initiation Y. Yan et al. 10.1007/s11629-019-5812-1
- Regional landslide hazard assessment through integrating susceptibility index and rainfall process Z. Wang et al. 10.1007/s11069-020-04265-5
- Landslide Hazard Assessment Map as an Element Supporting Spatial Planning: The Flysch Carpathians Region Study I. Skrzypczak et al. 10.3390/rs13020317
- Rainfall Threshold Estimation and Landslide Forecasting for Kalimpong, India Using SIGMA Model M. Abraham et al. 10.3390/w12041195
- Recent advancements of landslide hydrology R. Greco et al. 10.1002/wat2.1675
- Temporal Probability Assessment and Its Use in Landslide Susceptibility Mapping for Eastern Bhutan A. Dikshit et al. 10.3390/w12010267
- Early warning of shallow landslides: Monitoring of pre-failure suction-induced deformation L. Coppola et al. 10.1051/e3sconf/202454402001
- Rainfall threshold calculation for debris flow early warning in areas with scarcity of data H. Pan et al. 10.5194/nhess-18-1395-2018
- Soil moisture dynamics near a gully head in relation to the trigger of collapse in granite red soil slope in southern China Z. Zou et al. 10.1016/j.geomorph.2022.108493
- Quantifying the effect of surface heterogeneity on soil moisture across regions and surface characteristic S. Fathololoumi et al. 10.1016/j.jhydrol.2021.126132
- Rainfall-Induced Landslides forecast using local precipitation and global climate indexes I. Fustos et al. 10.1007/s11069-020-03913-0
- A Regional-Scale Landslide Warning System Based on 20 Years of Operational Experience S. Segoni et al. 10.3390/w10101297
- Exploring ERA5 reanalysis potentialities for supporting landslide investigations: a test case from Campania Region (Southern Italy) A. Reder & G. Rianna 10.1007/s10346-020-01610-4
- Probabilistic Hydrological Estimation of LandSlides (PHELS): global ensemble landslide hazard modelling A. Felsberg et al. 10.5194/nhess-23-3805-2023
- Evaluation of Remotely Sensed Soil Moisture for Landslide Hazard Assessment L. Zhuo et al. 10.1109/JSTARS.2018.2883361
- Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data N. Palazzolo et al. 10.5194/nhess-23-279-2023
- Rainfall Thresholds for Prediction of Landslides in Idukki, India: An Empirical Approach M. Abraham et al. 10.3390/w11102113
- HydroMet: A New Code for Automated Objective Optimization of Hydrometeorological Thresholds for Landslide Initiation J. Conrad et al. 10.3390/w13131752
- The Norwegian forecasting and warning service for rainfall- and snowmelt-induced landslides I. Krøgli et al. 10.5194/nhess-18-1427-2018
- 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
- Application of hydrological modelling for temporal prediction of rainfall-induced shallow landslides N. Bezak et al. 10.1007/s10346-019-01169-9
- IoT-Based Geotechnical Monitoring of Unstable Slopes for Landslide Early Warning in the Darjeeling Himalayas M. Abraham et al. 10.3390/s20092611
- Modelling rainfall-induced landslides at a regional scale, a machine learning based approach S. Magrì et al. 10.1007/s10346-023-02173-w
- Soil moisture information can improve shallow landslide forecasting using the hydrometeorological threshold approach P. Marino et al. 10.1007/s10346-020-01420-8
- Detection and forecasting of shallow landslides: lessons from a natural laboratory R. Bainbridge et al. 10.1080/19475705.2022.2041108
- Landslide Susceptibility Modeling Using Integrated Ensemble Weights of Evidence with Logistic Regression and Random Forest Models W. Chen et al. 10.3390/app9010171
- 4D electrical resistivity to monitor unstable slopes in mountainous tropical regions: an example from Munnar, India A. Watlet et al. 10.1007/s10346-023-02029-3
- A systematic review on rainfall thresholds for landslides occurrence F. Gonzalez et al. 10.1016/j.heliyon.2023.e23247
- The Selection of Rain Gauges and Rainfall Parameters in Estimating Intensity-Duration Thresholds for Landslide Occurrence: Case Study from Wayanad (India) M. Abraham et al. 10.3390/w12041000
- Pre-failure suction-induced deformation to inform early warning of shallow landslides: Proof of concept at slope model scale L. Coppola et al. 10.1016/j.enggeo.2022.106834
- Hillslopes in humid‐tropical climates aren't always wet: Implications for hydrologic response and landslide initiation in Puerto Rico M. Thomas et al. 10.1002/hyp.13885
- Forecasting Landslides Using Mobility Functions: A Case Study from Idukki District, India M. Abraham et al. 10.1007/s40098-020-00490-8
- Using distributed root soil moisture data to enhance the performance of rainfall thresholds for landslide warning Y. Guo et al. 10.1007/s11069-022-05588-1
- Scaling land-surface variables for landslide detection F. Sîrbu et al. 10.1186/s40645-019-0290-1
- Forecasting landslides using SIGMA model: a case study from Idukki, India M. Abraham et al. 10.1080/19475705.2021.1884610
- Exploring the Use of Pattern Classification Approaches for the Recognition of Landslide-Triggering Rainfalls A. Rosi 10.3390/su152015145
- Multimodal multiscale characterization of cascading hazard on mountain terrain R. Talchabhadel et al. 10.1080/19475705.2022.2162443
- Prototype of an IoT-Based Low-Cost Sensor Network for the Hydrological Monitoring of Landslide-Prone Areas P. Marino et al. 10.3390/s23042299
- A remote-sensing-based intensity–duration threshold, Faifa Mountains, Saudi Arabia S. Karki et al. 10.5194/nhess-19-1235-2019
- Stability Analysis of the Shiliushubao Landslide Based on Deformation Characteristics and External Trigger Factors in the Three Gorges Reservoir G. Luo et al. 10.1155/2021/2714918
Latest update: 23 Nov 2024
Short summary
We improve the warning system (WS) used to forecast landslides in Emilia Romagna (Italy) by using averaged soil moisture estimates. We tested two approaches. The first (based on a soil moisture threshold under which the original WS is not used) is very simple, reduces false alarms and can be easily applied elsewhere. The second (integrating rainfall and soil moisture thresholds in the WS) is more complicated but reduces both false alarms and missed alarms.
We improve the warning system (WS) used to forecast landslides in Emilia Romagna (Italy) by...
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