Development of decision support system as subsidy water quality classification of water bodies
Name: Murilo Brazzali Rodrigues
Type: PhD thesis
Publication date: 08/11/2022
Advisor:
Name |
Role |
|---|---|
| José Antônio Tosta dos Reis | Advisor * |
Examining board:
| Name |
Role |
|---|---|
| Antonio Sérgio Ferreira Mendonça | Internal Examiner * |
| Daniel Rigo | Internal Examiner * |
| FERNANDO DAS GRAÇAS BRAGA DA SILVA | External Examiner * |
| José Antônio Tosta dos Reis | Advisor * |
| Talita Aparecida Pletsch | External Examiner * |
Summary: It was developed a decision support system to help the stages of diagnosis, prognosis,
and monitoring, during water courses reaches water quality classes definition. System
and interface construction considered available programs (IPH-Hydro Tools and
WARM-GIS Tools), making the focus of this work programming of methodological
steps routines for which there are no available programs (CPQ-WATER). The IPHHydro Tools was used to appropriate the vector files (shapefiles) of mini catchments
limits, segmented drainage network and basin topological data. WARM-GIS Tools was
used to simulate water quality and assess self-purification capacity, according to
different effluent treatment and population growth scenarios, and considering selfpurification. The CPQ-WATER allowed construction of quality permanence curves and
estimation of total dilution capacity, load to be treated, unused dilution capacity,
pressure level and self-purification capacity. Additionally, it supported the water quality
classification monitoring stage, superimposing the quality permanence curves and the
watercourses quality conditions field monitoring results. Critical analysis of SSD
limitations was performed. The SSD was applied to the Jucu River basin as a case
study. The SSD, by incorporating GIS tools, provided the spatialization of the
information allowing results graphical and cartographic visualization for any basin river
stretch, parameter and water quality class. By applying the SSD to Jucu River basin,
it was possible to verify industrial effluents contributions influence as well as to identify
that Vila Velha and Viana municipalities are the largest pollutant producers located in
the basin. When simulating self-purification capacities, it was possible to observe that
the basin rivers present high pollutant load assimilation capacities, although for some
stretches the assimilation capacities are insufficient to improve water quality, as
desired, indicating that sewage treatment systems would need improvements. The
application of quality permanence curves for the Jucu river basin indicated that the
parameters coliforms, total phosphorus, and BOD, in this order, are limiting the
classification of water quality in stretches near sewage discharge points. Results
analysis indicated that the Jucu Braço Sul River tributary represents the most impacted
watercourse in the basin, by presenting the lowest frequencies of compliance with the
standards for the most restrictive classes. The highest loads to be treated were
observed from the perspective of meeting classes 1 and 2 quality conditions, indicating
the need for improvement in the domestic and industrial sewage treatment systems.
When relating water quality monitoring data with quality permanence curves, the SSD
indicated that the Jucu River, in the section chosen for analysis, presented aligned with
class 1 of water quality, being this class the legally defined for the stretch. As
limitations, inconsistencies were observed in relation to the use of the WARM-GIS
Tools model and non-applicability of SSD in drainage sections under the influence of
the tide.
