TY - JOUR
T1 - Integrated Methodological Framework for Assessing the Risk of Failure in Water Supply Incorporating Drought Forecasts. Case Study
T2 - Andean Regulated River Basin
AU - Avilés, Alex
AU - Solera Solera, Abel
AU - Paredes-Arquiola, Javier
AU - Pedro-Monzonís, María
N1 - Publisher Copyright:
© 2017, Springer Science+Business Media B.V., part of Springer Nature.
PY - 2018/3/1
Y1 - 2018/3/1
N2 - Hydroclimatic drought conditions can affect the hydrological services offered by mountain river basins causing severe impacts on the population, becoming a challenge for water resource managers in Andean river basins. This study proposes an integrated methodological framework for assessing the risk of failure in water supply, incorporating probabilistic drought forecasts, which assists in making decisions regarding the satisfaction of consumptive, non-consumptive and environmental requirements under water scarcity conditions. Monte Carlo simulation was used to assess the risk of failure in multiple stochastic scenarios, which incorporate probabilistic forecasts of drought events based on a Markov chains (MC) model using a recently developed drought index (DI). This methodology was tested in the Machángara river basin located in the south of Ecuador. Results were grouped in integrated satisfaction indexes of the system (DSIG). They demonstrated that the incorporation of probabilistic drought forecasts could better target the projections of simulation scenarios, with a view of obtaining realistic situations instead of optimistic projections that would lead to riskier decisions. Moreover, they contribute to more effective results in order to propose multiple alternatives for prevention and/or mitigation under drought conditions.
AB - Hydroclimatic drought conditions can affect the hydrological services offered by mountain river basins causing severe impacts on the population, becoming a challenge for water resource managers in Andean river basins. This study proposes an integrated methodological framework for assessing the risk of failure in water supply, incorporating probabilistic drought forecasts, which assists in making decisions regarding the satisfaction of consumptive, non-consumptive and environmental requirements under water scarcity conditions. Monte Carlo simulation was used to assess the risk of failure in multiple stochastic scenarios, which incorporate probabilistic forecasts of drought events based on a Markov chains (MC) model using a recently developed drought index (DI). This methodology was tested in the Machángara river basin located in the south of Ecuador. Results were grouped in integrated satisfaction indexes of the system (DSIG). They demonstrated that the incorporation of probabilistic drought forecasts could better target the projections of simulation scenarios, with a view of obtaining realistic situations instead of optimistic projections that would lead to riskier decisions. Moreover, they contribute to more effective results in order to propose multiple alternatives for prevention and/or mitigation under drought conditions.
KW - Probabilistic drought forecasts
KW - Risk assessment
KW - Simulation of stochastic scenarios
KW - Water resource systems management
UR - https://pesquisa.bvsalud.org/portal/resource/pt/biblio-1025014
U2 - 10.1007/s11269-017-1863-7
DO - 10.1007/s11269-017-1863-7
M3 - Artículo
AN - SCOPUS:85034664137
SN - 0920-4741
VL - 32
SP - 1209
EP - 1223
JO - Water Resources Management
JF - Water Resources Management
IS - 4
ER -