Decision Support System for Selecting Sewage Treatment Systems in the Scope of Hydrographic Basins
Name: Karinnie Nascimento de Almeida
Type: PhD thesis
Publication date: 23/08/2022
Advisor:
Name |
Role |
|---|---|
| José Antônio Tosta dos Reis | Advisor * |
Examining board:
| Name |
Role |
|---|---|
| Antonio Sérgio Ferreira Mendonça | Internal Examiner * |
| Diogo Costa Buarque | Internal Examiner * |
| FERNANDO DAS GRAÇAS BRAGA DA SILVA | External Examiner * |
| José Antônio Tosta dos Reis | Advisor * |
| LILIANE LAZZARI COSTA | External Examiner * |
Summary: Sewage treatment systems selection is a complex problem when analyzed in the
context of hydrographic basins. It involves the joint analysis of environmental,
technological, operational and social aspects associated with the treatment systems, in addition to raw or treated sewage final disposal receiving watercourses
support capacity assessments. The present work aims to propose a methodology
that could help the sewage treatment systems selection process through the combined application of a water quality mathematical model, metaheuristic optimization technique (Genetic Algorithm) and multicriteria analysis method (Theory of
Multi-attribute utility). The research study area was the hydrographic basin of the
Benevente River, an important watercourse located in the southern portion of the
Espírito Santo state, Brazil. Minimum efficiencies for removing organic matter and
nutrients were considered in the sewage treatment systems pre-selection. For the
most populous districts, such as Jabaquara, Alfredo Chaves and Alto Pongal, the
ordering process, supported by multicriterial analysis, led to the selection of
mechanized technology - an activated sludge process variation. For all other locations, stabilization pond systems variations were selected. The selected sewage
treatment technologies were more restrictive as more water quality parameters
were considered for the selection of technologies
