Assessing the impact of climate-change scenarios on landslide occurrence in Umbria Region, Italy

被引:71
作者
Ciabatta, L. [1 ]
Camici, S. [1 ]
Brocca, L. [1 ]
Ponziani, F. [2 ]
Stelluti, M. [2 ]
Berni, N. [2 ]
Moramarco, T. [1 ]
机构
[1] CNR, Res Inst Geohydrol Protect, Via Madonna Alta 126, I-06128 Perugia, Italy
[2] Reg Umbria, Civil Protect, Foligno, Italy
关键词
Landslide; Climate change; Early warning system; Rainfall; Soil moisture; INDUCED SHALLOW LANDSLIDES; SOIL-MOISTURE; RAINFALL THRESHOLDS; PRECIPITATION; CIRCULATION;
D O I
10.1016/j.jhydrol.2016.02.007
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Landslides are frequent and widespread geomorphological phenomena causing loss of human life and damage to property. The main tool for assessing landslide risk relies on rainfall thresholds and thus, many countries established early warning systems aimed to landslide hazard assessment. The Umbria Region Civil Protection Centre developed an operational early warning system for landslide risk assessment, named PRESSCA, based on the soil saturation conditions to identify rainfall thresholds. These thresholds, currently used by the Civil Protection operators for the day-by-day landslide hazard assessment, provided satisfactory results with more than 86% of the landslides events correctly identified during the period 1990-2013. In this study, the PRESSCA system was employed for the assessment of climate change impact on landslide hazard in Central Italy. The outputs of five different Global Circulation Models (GCMs) were down scaled and weather generators were used for obtaining hourly rainfall and temperature time series from daily GCMs projection. Then, PRESSCA system was employed to estimate the number of landslide occurrence per year. By comparing results obtained for three different periods (1990-2013 (baseline), 20402069 and 2070-2099), for the Umbria territory a general increase in events occurrence was expected (up to more than 40%) in the future period, mainly during the winter season. The results also revealed that the effect of climate change on landslides was not straightforward to identify and the close interaction between rainfall magnitude/intensity, temperature and soil moisture should be analysed in depth. Overall, soil moisture was projected to decrease throughout the year but during the wet season the variations with respect to the present period were very small. Specifically, it was found that during the warm-dry season, due to the strong decrease of soil moisture, even for a sensible increase in rainfall intensity, the landslide occurrence was unchanged. Conversely, during the cold-wet season, the number of landslide events increased considerably if a positive variation in rainfall amount, more significant than rainfall intensity, was coupled with small negative variations in soil moisture. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:285 / 295
页数:11
相关论文
共 55 条
[1]  
[Anonymous], 2012, SPECIAL REPORT WORKI
[2]   Early warning of rainfall-induced shallow landslides and debris flows in the USA [J].
Baum, Rex L. ;
Godt, Jonathan W. .
LANDSLIDES, 2010, 7 (03) :259-272
[3]   Monitoring soil-water and displacement conditions leading to landslide occurrence in partially saturated clays [J].
Bittelli, Marco ;
Valentino, Roberto ;
Salvatorelli, Fiorenzo ;
Pisa, Paola Rossi .
GEOMORPHOLOGY, 2012, 173 :161-173
[4]   Hydrological factors affecting rainfall-induced shallow landslides: From the field monitoring to a simplified slope stability analysis [J].
Bordoni, M. ;
Meisina, C. ;
Valentino, R. ;
Lu, N. ;
Bittelli, M. ;
Chersich, S. .
ENGINEERING GEOLOGY, 2015, 193 :19-37
[5]   Improving the representation of soil moisture by using a semi-analytical infiltration model [J].
Brocca, L. ;
Camici, S. ;
Melone, F. ;
Moramarco, T. ;
Martinez-Fernandez, J. ;
Didon-Lescot, J. -F. ;
Morbidelli, R. .
HYDROLOGICAL PROCESSES, 2014, 28 (04) :2103-2115
[6]   Developing and testing a long-term soil moisture dataset at the catchment scale [J].
Brocca, L. ;
Zucco, G. ;
Moramarco, T. ;
Morbidelli, R. .
JOURNAL OF HYDROLOGY, 2013, 490 :144-151
[7]  
Brocca L., 2015, SATELLITE SOIL MOIST
[8]   Improving Landslide Forecasting Using ASCAT-Derived Soil Moisture Data: A Case Study of the Torgiovannetto Landslide in Central Italy [J].
Brocca, Luca ;
Ponziani, Francesco ;
Moramarco, Tommaso ;
Melone, Florisa ;
Berni, Nicola ;
Wagner, Wolfgang .
REMOTE SENSING, 2012, 4 (05) :1232-1244
[9]   Rainfall thresholds for the possible occurrence of landslides in Italy [J].
Brunetti, M. T. ;
Peruccacci, S. ;
Rossi, M. ;
Luciani, S. ;
Valigi, D. ;
Guzzetti, F. .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2010, 10 (03) :447-458
[10]   Impact of Climate Change on Flood Frequency Using Different Climate Models and Downscaling Approaches [J].
Camici, S. ;
Brocca, L. ;
Melone, F. ;
Moramarco, T. .
JOURNAL OF HYDROLOGIC ENGINEERING, 2014, 19 (08)