Flood risk under future climate in data sparse regions: Linking extreme value models and flood generating processes

Journal of Hydrology

Volumn 519, Issue PA, 2014, Pages 549-558

  Tramblay, Yves ^a   Amoussou, Ernest ^b,c   Dorigo, Wouter ^d   Mahé, Gil ^a  

^a UNIVERSITÉ DE MONTPELLIER   (France)

^b Université de Parakou   (Benin)

^c UNIVERSITY OF ABOMEY CALAVI   (Benin)

^d VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Flood risk; GEV; Non stationary; RCM; Soil moisture

Indexed keywords

CATCHMENTS; CLIMATE CHANGE; CLIMATE MODELS; RAIN; RISK PERCEPTION; RUNOFF; SENSITIVITY ANALYSIS; SOIL MOISTURE;

FLOOD RISKS; GENERALIZED EXTREME VALUE; HYDROLOGICAL MODELS; LOCATION PARAMETERS; NON-STATIONARY CONDITION; NONSTATIONARY; REGIONAL CLIMATE MODELS; SURFACE SOIL MOISTURE;

FLOODS;

CATCHMENT; FLOOD; FLOOD CONTROL; FLOOD DAMAGE; REGIONAL CLIMATE; RIVER DISCHARGE; SATELLITE DATA; SATURATION; SENSITIVITY ANALYSIS; SOIL MOISTURE; TEMPERATURE EFFECT;

WEST AFRICA;

EID: 84905844121     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2014.07.052     Document Type: Article

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