Banca de QUALIFICAÇÃO: LAISE ALVES CANDIDO

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : LAISE ALVES CANDIDO
DATE: 30/05/2023
LOCAL: Pós-Graduação Engenharia Civil
TITLE:

Modelo Baseado em Redes Integrando Quantidade e Qualidade de Água em uma Plataforma de Modelagem Econômico-Integrada: Caso de 4 Bacias Interligadas em Pernambuco, Nordeste do Brasil

KEY WORDS:

Water allocation; Economic optimization; Equality; Social welfare; Quantity and quality integration.

PAGES: 75
BIG AREA: Engenharias
AREA: Engenharia Civil
SUMMARY:

Integrated Water Resources Management (IWRM) recognizes the interconnectedness between people, ecosystems, and hydrology and promotes a coordinated management of natural resources that maximizes economic and social welfare without compromising the sustainability of ecosystems. However, IWRM policies have been challenging to implement, especially in developing countries, where the increasing demand for water is exacerbated by climate change, population growth, and urbanization. Integrated Water Resources Allocation and Management (IWRAM) is suggested as an acronym that emphasizes the need for allocation studies in the context of water scarcity and uncertainty. The viability of economic growth and environmental conditions depends on an adequate allocation of water among economic sectors and the preservation of water quality at the river basin level. However, decision makers often remain ill-informed about water allocation trade-offs and are ill-equipped to deal with a range of plausible outcomes. Tools and integrative skills extending from basin to regional and national levels across multiple disciplines are needed to address these challenges, adapting as these challenges evolve. Hydroeconomic models can support the definition and evaluation of allocation mechanisms considering various aspects such as economic efficiency, social equality, ecological sustainability, social welfare, and water quantity and quality management. When discussing ways to expand the applicability and usefulness of hydroeconomic models through the consistent inclusion of non-market ecosystem services and aspects of water quality, Bekchanov et al. (2017) state that very few studies were observed that include concerns about water quality. Therefore, this project aims to contribute to this theme in an unprecedented way by integrating quality constraints into a network-based optimization model that points to the economic impacts of allocations by integrating IOM and CGEM models. This work is part of the development of a Spatial Decision Support System, with resources from CNPq and CAPES-ANA, called HEAL (Hydro-Economic Allocation) System.

COMMITTEE MEMBERS:
Presidente - 2726911 - ANDERSON LUIZ RIBEIRO DE PAIVA
Externo à Instituição - TITO AUGUSTO GEHRING
Externo à Instituição - GERALD NORBERT SOUZA DA SILVA - UFPB
Externo à Instituição - ALEX MAYER