Articles | Volume 18, issue 3
Nat. Hazards Earth Syst. Sci., 18, 807–812, 2018
https://doi.org/10.5194/nhess-18-807-2018

Special issue: Landslide early warning systems: monitoring systems, rainfall...

Nat. Hazards Earth Syst. Sci., 18, 807–812, 2018
https://doi.org/10.5194/nhess-18-807-2018

Brief communication 13 Mar 2018

Brief communication | 13 Mar 2018

Brief communication: Using averaged soil moisture estimates to improve the performances of a regional-scale landslide early warning system

Samuele Segoni et al.

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Cited articles

Agostini, A., Tofani, V., Nolesini, T., Gigli, G., Tanteri, L., Rosi, A., Cardellini, S., and Casagli, N.: A new appraisal of the Ancona landslide based on geotechnical investigations and stability modelling, Q. J. Eng. Geol. Hydroge., 47, 29–43, https://doi.org/10.1144/qjegh2013-028, 2013. 
Aleotti, P.: A warning system for rainfall-induced shallow failures, Eng. Geol., 73, 247–265, 2004. 
Baum, R. L. and Godt, J. W.: Early warning of rainfall-induced shallow landslides and debris flows in the USA, Landslides, 7, 259–272, 2010. 
Bogaard, T. and Greco, R.: Invited perspectives: Hydrological perspectives on precipitation intensity-duration thresholds for landslide initiation: proposing hydro-meteorological thresholds, Nat. Hazards Earth Syst. Sci., 18, 31–39, https://doi.org/10.5194/nhess-18-31-2018, 2018. 
Brocca, L., Ciabatta, L., Moramarco, T., Ponziani, F., Berni, N., Wagner, W., Petropoulos, G. P., Srivastava, P., and Kerr, Y.: Use of satellite soil moisture products for the operational mitigation of landslides risk in central Italy, in: Satellite Soil Moisture Retrievals: Techniques & Applications, Elsevier, Amsterdam, the Netherlands, 231–247, 2016. 
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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.
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