Diagnosing Causes of Water Scarcity in Complex Water Resources Systems and Identifying Risk Management Actions

Martín Carrasco, Francisco Javier, Garrote de Marcos, Luis ORCID: https://orcid.org/0000-0001-9087-3638, Iglesias, Ana and Mediero Orduña, Luis Jesús ORCID: https://orcid.org/0000-0001-9053-5196 (2013). Diagnosing Causes of Water Scarcity in Complex Water Resources Systems and Identifying Risk Management Actions. "Water Resources Management", v. 27 (n. 6); pp. 1693-1705. ISSN 0920-4741. https://doi.org/10.1007/s11269-012-0081-6.

Description

Title: Diagnosing Causes of Water Scarcity in Complex Water Resources Systems and Identifying Risk Management Actions
Author/s:
Item Type: Article
Título de Revista/Publicación: Water Resources Management
Date: April 2013
ISSN: 0920-4741
Volume: 27
Subjects:
Faculty: E.T.S.I. Caminos, Canales y Puertos (UPM)
Department: Ingeniería Civil: Hidráulica y Energética [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

From the water management perspective, water scarcity is an unacceptable risk of facing water shortages to serve water demands in the near future. Water scarcity may be temporary and related to drought conditions or other accidental situation, or may be permanent and due to deeper causes such as excessive demand growth, lack of infrastructure for water storage or transport, or constraints in water management. Diagnosing the causes of water scarcity in complex water resources systems is a precondition to adopt effective drought risk management actions. In this paper we present four indices which have been developed to evaluate water scarcity. We propose a methodology for interpretation of index values that can lead to conclusions about the reliability and vulnerability of systems to water scarcity, as well as to diagnose their possible causes and to propose solutions. The described methodology was applied to the Ebro river basin, identifying existing and expected problems and possible solutions. System diagnostics, based exclusively on the analysis of index values, were compared with the known reality as perceived by system managers, validating the conclusions in all cases

More information

Item ID: 15250
DC Identifier: https://oa.upm.es/15250/
OAI Identifier: oai:oa.upm.es:15250
DOI: 10.1007/s11269-012-0081-6
Official URL: http://link.springer.com/article/10.1007%2Fs11269-...
Deposited by: Memoria Investigacion
Deposited on: 31 Oct 2013 10:27
Last Modified: 26 Jun 2018 14:09
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