Abstract
Rainfall thresholds represent the main tool for the Italian Civil Protection System for early warning of the threat of landslides. However, it is well-known that soil moisture conditions at the onset of a storm event also play a critical role in triggering slope failures, especially in the case of shallow landslides. This study attempts to define soil moisture (estimated by using a soil water balance model) and rainfall thresholds that can be employed for hydrogeological risk prevention by the Civil Protection Decentrate Functional Centre (CFD) located in the Umbria Region (central Italy). Two different analyses were carried out by determining rainfall and soil moisture conditions prior to widespread landslide events that occurred in the Umbria Region and that are reported in the AVI (Italian Vulnerable Areas) inventory for the period 1991–2001. Specifically, a “local” analysis that considered the major landslide events of the AVI inventory and an “areal” analysis subdividing the Umbria Region in ten sub-areas were carried out. Comparison with rainfall thresholds used by the Umbria Region CFD was also carried out to evaluate the reliability of the current procedures employed for landslide warning. The main result of the analysis is the quantification of the decreasing linear trend between the maximum cumulated rainfall values over 24, 36 and 48 h and the soil moisture conditions prior to landslide events. This trend provides a guideline to dynamically adjust the operational rainfall thresholds used for warning. Moreover, the areal analysis, which was aimed to test the operational use of the combined soil moisture–rainfall thresholds showed, particularly for low values of rainfall, the key role of soil moisture conditions for the triggering of landslides. On the basis of these results, the Umbria Region CFD is implementing a procedure aimed to the near real-time estimation of soil moisture conditions based on the soil water balance model developed ad hoc for the region. In fact, it was evident that a better assessment of the initial soil moisture conditions would support and improve the hydrogeological risk assessment.
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References
Baum RL, Godt JW (2009) Early warning of rainfall-induced shallow landslides and debris flows in the USA. Landslides 7(3):259–272
Brocca, L., Melone, F. and Moramarco, T. (2005). Empirical and conceptual approaches for soil moisture estimation in view of event-based rainfall–runoff modeling. In: F. Maraga, M. Arattano (Eds.), Progress in surface and subsurface water studies at the plot and small basin scale, IHP-VI, Technical Documents in Hydrology, UNESCO, Paris, 77:1–8
Brocca L, Melone F, Moramarco T (2008) On the estimation of antecedent wetness condition in rainfall–runoff modeling. Hydrol Process 22:629–642
Brocca L, Barbetta S, Melone F, Moramarco T (2010a) A continuous rainfall–runoff model derived from investigations on a small experimental basin. IAHS Publ 336:179–185
Brocca L, Melone F, Moramarco T, Wagner W, Hasenauer S (2010b) ASCAT Soil Wetness Index validation through in-situ and modeled soil moisture data in central Italy. Remote Sens Environ 114(11):2745–2755
Brocca L, Melone F, Moramarco T (2011) Distributed rainfall–runoff modeling for flood frequency estimation and flood forecasting. Hydrol Process. doi:10.1002/hyp.8042
Brunetti MT, Peruccacci S, Rossi M, Luciani S, Valigi D, Guzzetti F (2010) Rainfall thresholds for the possible occurrence of landslides in Italy. Natural Hazards and Earth System Sciences 10:447–458
Caine N (1980) The rainfall intensity: duration control of shallow landslides and debris flows. Geogr Ann A 62:23–27
Capparelli G, Versace P (2010) FLaIR and SUSHI: two mathematical models for early warning of landslides induced by rainfall. Landslides. doi:10.1007/s10346-010-0228-6
Capparelli, Tiranti (2010) Application of the MoniFLaIR early warning system for rainfall-induced landslides in Piedmont region (Italy). Landslides. doi:10.1007/s10346-009-0189-9
Cardinali M, Reichenbach P, Guzzetti F, Ardizzone F, Antonini G, Galli M, Cacciano M, Castellani M, Salvati P (2002) A geomorphological approach to the estimation of landslide hazards and risks in Umbria, Central Italy. Natural Hazards and Earth System Sciences 2:57–72
Crozier MJ (1999) Prediction of rainfall-triggered landslides: a test of the antecedent water status model. Earth Surface Process and Landforms 24:825–833
Del Maschio L, Gozzi G, Piacentini D, Pignone S, Pizziolo M (2005) Determinazione di soglie pluviometriche per l’innesco di fenomeni franosi nell’Appennino Settentrionale. Regione Emilia-Romagna, Bologna. http://www.regione.emilia-romagna.it/wcm/geologia/canali/frane/rel_scien/val_risch_fr/soglie_pluviometriche.pdf
Doorenbos J, Pruitt WO (1977) Background and development of methods to predict reference crop evapotranspiration (ETo). In: FAO-ID-24, Appendix II, 108–119
DPCN-ARPA Piemonte (2004) Progetto di un sistema informativo meteo-idrologico che integra le risorse osservative e modellistiche a supporto della gestione del rischio per la protezione civile nazionale: Soglie pluviometriche, 85pp. available at: http://www.arpa.emr.it/cms3/documenti/idrogeologico/soglie_pluviometrichev2.pdf
Famiglietti JS, Wood EF (1994) Multiscale modeling of spatially variable water and energy balance processes. Water Resources Research 11:3061–3078
Franchini M, Galeati G (1999) Sintesi del rapporto regionale per i compartimenti di Bologna, Pisa, Roma, e zona emiliana del bacino del Po, in: GNDCI Linea 1. Rapporto di sintesi sulla valutazione delle piene in Italia, 5.1–5.10, Roma
Glade T, Crozier M, Smith P (2000) Applying probability determination to refine landslide-triggering rainfall thresholds using an empirical ‘antecedent daily rainfall model’. Pure Appl Geophys 157:1059–1079
Godt JW, Baum RL, Chleborad AF (2006) Rainfall characteristics for shallow landsliding in Seattle, Washington, USA. Earth Surface Processes and Landform 31:97–110
Greco R, Guida A, Damiano E, Olivares L (2010) Soil water content and suction monitoring in model slopes for shallow flowslides early warning applications. Physics and Chemistry of the Earth 35(3–5):127–136
Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, central Italy. Geomorphology 31:181–216
Guzzetti F, Reichenbach P, Cardinali M, Ardizzone F, Galli M (2003) The impact of landslides in the Umbria region, central Italy. Natural Hazards and Earth System Sciences 3:469–486
Guzzetti F, Stark CP, Salvati P (2005) Evaluation of flood and landslide risk to the population of Italy. Environ Manage 36(1):15–36
Guzzetti F, Peruccacci S, Rossi M, Stark CP (2007) Rainfall thresholds for the initiation of landslides in central and southern Europe. Meteorol Atmos Phys 98:239–267
Guzzetti F, Peruccacci S, Rossi M, Stark CP (2008) The rainfall intensity–duration control of shallow landslides and debris flows: an update. Landslides 5(1):3–17
Hawke R, McConchie J (2011) In situ measurement of soil moisture and pore-water pressures in an ‘incipient’ landslide: Lake Tutira, New Zealand. J Environ Manag 92:266–274
Huggel C, Khabarov N, Obersteiner M, Ramírez JM (2010) Implementation and integrated numerical modeling of a landslide early warning system: a pilot study in Colombia. Natural Hazards 52(2):501–518
Iverson RM (2000) Landslide triggering by rain infiltration. Water Resour Res 36:1897–1910
Jakob M, Holm K, Lange O, Schwab JW (2006) Hydrometeorological thresholds for landslide initiation and forest operation shutdowns on the north coast of British Columbia. Landslides 3(3):228–238
Marsigli C, Montani A, Paccagnella T (2008) A spatial verification method applied to the evaluation of high-resolution ensemble forecasts. Meteorol Appl 15:125–143
Molteni F, Marsigli C, Montani A, Nerozzi F, Paccagnella T (2001) A strategy for high-resolution ensemble prediction. Part I: definition of representative members and global-model experiments. Q J R Meteorol Soc 127:2069–2094
Pelletier JD, Malamud BD, Blodgett T, Turcotte DL (1997) Scale-invariance of soil moisture variability and its implications for the frequency-size distribution of landslides. Eng Geol 48(3–4):255–268
Ray RL, Jacobs JM (2007) Relationships among remotely soil moisture, precipitation and landslide events. Natural Hazards 43(2):211–222
Ray RL, Jacobs JM, Cosh MH (2010) Landslide susceptibility mapping using downscaled AMSR-E soil moisture: a case study from Cleveland Corral, California, US. Remote Sens Environ 114(11):2624–2636
Reichenbach P, Cardinali M, De Vita P, Guzzetti F (1998) Regional hydrological thresholds for landslides and floods in the Tiber River Basin (Central Italy). Environ Geol 35(2–3):146–159
Segoni S, Leoni L, Benedetti AI, Catani F, Righini G, Falorni G, Gabellani S, Rudari R, Silvestro F, Rebora N (2010) Towards a definition of a real-time forecasting network for rainfall induced shallow landslides. Natural Hazards and Earth System Sciences 9:2119–2133
White R, Schwab JW (2005) Precipitation shutdown guidelines: a strategy for their identification in the North Coast Forest District. BC Ministry of Forests (technical report)
Wieczorek GF (1987) Effect of rainfall intensity and duration on debris flows in the central Santa Cruz mountains, California, in: Debris flows/avalanches: process, recognition, and mitigation, In: Costa JE, Wieczorek GF (Eds.), Geological Society of America, Boulder, Colorado, USA, 93–104
Zehe E, Sivapalan M (2009) Threshold behaviour in hydrological systems as (human) geo-ecosystems: manifestations, controls, implications. Hydrol Earth Syst Sci 13:1273–1297
Acknowledgments
The authors are grateful to Umbria Region for providing most of the analyzed data. The authors would like to express special acknowledgment to two anonymous reviewers and to the Associate Editor for their valuable comments and remarks which helped to significantly improve the manuscript.
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Ponziani, F., Pandolfo, C., Stelluti, M. et al. Assessment of rainfall thresholds and soil moisture modeling for operational hydrogeological risk prevention in the Umbria region (central Italy). Landslides 9, 229–237 (2012). https://doi.org/10.1007/s10346-011-0287-3
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DOI: https://doi.org/10.1007/s10346-011-0287-3