Framework for multi-criteria decision management in watershed restoration
Author(s) -
Ángel Udías,
Lorenzo Galbiati,
Francisco Javier Elorza Tenreiro,
Roman Efremov,
J. A. G. X. Pons,
Gabriel Borras
Publication year - 2011
Publication title -
journal of hydroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 50
eISSN - 1465-1734
pISSN - 1464-7141
DOI - 10.2166/hydro.2011.107
Subject(s) - water framework directive , computer science , watershed management , crossover , population , watershed , evolutionary algorithm , operations research , management science , water quality , engineering , artificial intelligence , machine learning , ecology , demography , sociology , biology
This paper presents a hydroinformatics management tool designed to optimize the program of measures (PoM) to achieve the European Water Framework Directive (WFD) objectives in the internal Catalonian watersheds. The tool incorporates the Qual2kw water quality model to simulate the effects of the PoM used to reduce pollution pressure on the hydrologic network. It includes a Multi-Objective Evolutionary Algorithm (MOEA) to identify efficient trade-offs between PoM cost and water quality. It also uses multi-criteria visualization and statistical analysis tools as a user-friendly interface. This management tool is based on the Pressure–Impact concept, selecting the most effective combinations of sewage treatment technologies from millions of technologically admissible combinations. Moreover, the tool is oriented to guide stakeholders and water managers in their decision-making processes. Some guidelines are also given in this paper on the use of analytical relationships from the field of evolutionary multi-criteria optimization algorithms for different parameters (elitism, crossover and mutation rate, population size) to ensure that the MOEA is competently designed to navigate the criteria space of the management problem. Additionally, this paper analyzes the results of applying the management tool in the Muga watershed, whereby guaranteeing its convergence within a reasonable computational time, in order to simplify the decision-making process.
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