Título:	Use of climate information in water allocation : a case of study in a semiarid region
Autor(es):	Pereira, José Marcelo Rodrigues Raimundo, Clebson do Carmo Reis Junior, Dirceu Silveira Vasconcelos Júnior, Francisco das Chagas Martins, Eduardo Sávio Passos Rodrigues
ORCID:	https://orcid.org/0000-0002-3338-6670 https://orcid.org/0000-0003-1787-9763 https://orcid.org/0000-0002-1558-8383 https://orcid.org/0000-0002-9858-2541
Afiliação do autor:	Federal University of Ceará, Hydraulic and Environmental Engineering Department Research Institute for Meteorology and Water Resources, Fortaleza Research Institute for Meteorology and Water Resources, Fortaleza University of Brasilia, Faculty of Technology, Department of Civil and Environmental Engineering Research Institute for Meteorology and Water Resources, Fortaleza Federal University of Ceará, Hydraulic and Environmental Engineering Department Research Institute for Meteorology and Water Resources, Fortaleza
Assunto:	Previsão do tempo Informações climáticas Reservatórios Água
Data de publicação:	5-Jul-2023
Editora:	MDPI
Referência:	PEREIRA, José Marcelo Rodrigues et al. Use of climate information in water allocation: a case of study in a semiarid region. Water, [S. l.], v. 15, n. 13, 2460, 2023. DOI: https://doi.org/10.3390/w15132460. Disponível em: https://www.mdpi.com/2073-4441/15/13/2460.
Abstract:	The value of climate information has been explored by various scholars and in various sectors, but its operational use, particularly in water resources management, in countries like Brazil remains limited. This article describes climate and inflow forecast systems used in the process of water allocation in the state of Ceará (Brazil) and evaluates their performance at three key reservoirs in the state for forecasts issued in January for the period from January to May when most of the annual rainfall and inflows occur. To illustrate the value of forecasting in the water-allocation process, a simple experiment based on the use of a decision support system (DSS) is carried out. The use of the DSS SIGA with inflows estimated from observations and forecasts demonstrated the value of forecasts in the process of water allocation, as the forecasts allowed for better identification of end-of- the-year reservoir volumes. The use of the forecast system successfully described the variability of the percentage of demands met and the demands identified using estimated inflows, in particular for the Banabuiú and Castanhão Reservoirs. Overall, the results of this study highlight the importance of climatic-hydrological forecasting in the process of water allocation.
Unidade Acadêmica:	Faculdade de Tecnologia (FT) Departamento de Engenharia Civil e Ambiental (FT ENC)
Licença:	Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/)
DOI:	https://doi.org/10.3390/w15132460
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