TY - GEN
T1 - Assessing drought hazard under non-stationary conditions on southeast of Spain
AU - Galiano, Sandra G.García
AU - Osorio, Juan D.Giraldo
AU - Mallebrera, Mario A.Urrea
AU - Abril, Adolfo Mérida
AU - Botía, Claudia N.Tetay
PY - 2011
Y1 - 2011
N2 - The vulnerability of semi-arid basins such as the Segura River basin (southeast Spain), to rainfall variability, implies uncertainties in agricultural activities. Increasing the knowledge about plausible trends of drought events will improve the adaptation and mitigation measures. The non-stationary character of hydrometeorological series, based on climate and anthropogenic changes, is the main criticism of traditional frequency analysis. An innovative methodology for non-stationary analysis of droughts events, applying GAMLSS (Generalized Additive Models for Location, Scale and Shape) is presented. The analyses were based on observed data and. selected regional climate models (RCMs). The series of maximum length of dry spells (MDSL) from observed data show an intensification of drought events in headwater catchments from the 1980s onwards. From various RCMs, plausible trends of MDSL are identified. By adjusting pdf to series of observed MDSL, applying GAMLSS and bootstrapping techniques, the assessment of regional trends associated to return period, from hazard maps is possible.
AB - The vulnerability of semi-arid basins such as the Segura River basin (southeast Spain), to rainfall variability, implies uncertainties in agricultural activities. Increasing the knowledge about plausible trends of drought events will improve the adaptation and mitigation measures. The non-stationary character of hydrometeorological series, based on climate and anthropogenic changes, is the main criticism of traditional frequency analysis. An innovative methodology for non-stationary analysis of droughts events, applying GAMLSS (Generalized Additive Models for Location, Scale and Shape) is presented. The analyses were based on observed data and. selected regional climate models (RCMs). The series of maximum length of dry spells (MDSL) from observed data show an intensification of drought events in headwater catchments from the 1980s onwards. From various RCMs, plausible trends of MDSL are identified. By adjusting pdf to series of observed MDSL, applying GAMLSS and bootstrapping techniques, the assessment of regional trends associated to return period, from hazard maps is possible.
KW - Drought
KW - GAMLSS
KW - Non-stationary probabilistic models
KW - Segura River Basin
KW - Spain
UR - http://www.scopus.com/inward/record.url?scp=84860579292&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84860579292
SN - 9781907161223
T3 - IAHS-AISH Publication
SP - 85
EP - 91
BT - Risk in Water Resources Management
T2 - Symposium H03 on Risk in Water Resources Management, Held During the 25th General Assembly of the International Union of Geodesy and Geophysics, IUGG 2011
Y2 - 28 June 2011 through 7 July 2011
ER -