The influence of antecedent conditions on flood risk in sub-Saharan Africa

被引:26
作者
Bischiniotis, Konstantinos [1 ]
van den Hurk, Bart [1 ,2 ]
Jongman, Brenden [1 ,3 ]
de Perez, Erin Coughlan [1 ,4 ,5 ]
Veldkamp, Ted [1 ]
de Moel, Hans [1 ]
Aerts, Jeroen [1 ]
机构
[1] Vrije Univ Amsterdam, Inst Environm Studies, NL-1081 HV Amsterdam, Netherlands
[2] Royal Netherlands Meteorol Inst KNMI, NL-3731 GA De Bilt, Netherlands
[3] World Bank, GFDRR, Washington, DC 20433 USA
[4] Columbia Univ, Int Res Inst Climate & Soc, Palisades, NY 10964 USA
[5] Red Cross Red Crescent Climate Ctr, NL-2521 CV The Hague, Netherlands
基金
英国自然环境研究理事会;
关键词
RELATIVE RISKS; RIVER FLOODS; FORECASTS; DROUGHT; WEATHER; HAZARDS; MODELS; BASIN;
D O I
10.5194/nhess-18-271-2018
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Most flood early warning systems have predominantly focused on forecasting floods with lead times of hours or days. However, physical processes during longer timescales can also contribute to flood generation. In this study, we follow a pragmatic approach to analyse the hydro-meteorological pre-conditions of 501 historical damaging floods from 1980 to 2010 in sub-Saharan Africa. These are separated into (a) weather timescale (0-6 days) and (b) seasonal timescale conditions (up to 6 months) before the event. The 7-day precipitation preceding a flood event (PRE7) and the standardized precipitation evapotranspiration index (SPEI) are analysed for the two timescale domains, respectively. Results indicate that high PRE7 does not always generate floods by itself. Seasonal SPEIs, which are not directly correlated with PRE7, exhibit positive (wet) values prior to most flood events across different averaging times, indicating a relationship with flooding. This paper provides evidence that bringing together weather and seasonal conditions can lead to improved flood risk preparedness.
引用
收藏
页码:271 / 285
页数:15
相关论文
共 67 条
[1]  
Abramopoulos F, 1988, J CLIMATE, V1, P921, DOI 10.1175/1520-0442(1988)001<0921:IGHCFG>2.0.CO
[2]  
2
[3]   Evaluating Flood Resilience Strategies for Coastal Megacities [J].
Aerts, Jeroen C. J. H. ;
Botzen, W. J. Wouter ;
Emanuel, Kerry ;
Lin, Ning ;
de Moel, Hans ;
Michel-Kerjan, Erwann O. .
SCIENCE, 2014, 344 (6183) :472-474
[4]   Operational early warning systems for water-related hazards in Europe [J].
Alfieri, Lorenzo ;
Salamon, Peter ;
Pappenberger, Florian ;
Wetterhall, Fredrik ;
Thielen, Jutta .
ENVIRONMENTAL SCIENCE & POLICY, 2012, 21 :35-49
[5]   ERA-Interim/Land: a global land surface reanalysis data set [J].
Balsamo, G. ;
Albergel, C. ;
Beljaars, A. ;
Boussetta, S. ;
Brun, E. ;
Cloke, H. ;
Dee, D. ;
Dutra, E. ;
Munoz-Sabater, J. ;
Pappenberger, F. ;
de Rosnay, P. ;
Stockdale, T. ;
Vitart, F. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2015, 19 (01) :389-407
[6]   How crucial is it to account for the antecedent moisture conditions in flood forecasting? Comparison of event-based and continuous approaches on 178 catchments [J].
Berthet, L. ;
Andreassian, V. ;
Perrin, C. ;
Javelle, P. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2009, 13 (06) :819-831
[7]   Confronting disaster losses [J].
Bouwer, Laurens M. ;
Crompton, Ryan P. ;
Faust, Eberhard ;
Hoeppe, Peter ;
Pielke, Roger A., Jr. .
SCIENCE, 2007, 318 (5851) :753-753
[8]   Climate forecasts in disaster management: Red Cross flood operations in West Africa, 2008 [J].
Braman, Lisette Martine ;
van Aalst, Maarten Krispijn ;
Mason, Simon J. ;
Suarez, Pablo ;
Ait-Chellouche, Youcef ;
Tall, Arame .
DISASTERS, 2013, 37 (01) :144-164
[9]  
Daly LE, 1998, AM J EPIDEMIOL, V147, P783
[10]   Forecast-based financing: an approach for catalyzing humanitarian action based on extreme weather and climate forecasts [J].
de Perez, E. Coughlan ;
van den Hurk, B. ;
van Aalst, M. K. ;
Jongman, B. ;
Klose, T. ;
Suarez, P. .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2015, 15 (04) :895-904