An Integrated Water Quality Model to Support Multiscale Decisions in a Highly Altered Catchment

Decision-making in highly altered catchments occurs at different temporal and spatial scales, requiring integration of various datasets and models. This paper introduces two of the components of an environmental multiscale decision support system (EMDSS) for highly altered catchments, designed to ma...

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Main Authors: Tania F. Santos Santos, Luis A. Camacho
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/14/3/374
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author Tania F. Santos Santos
Luis A. Camacho
author_facet Tania F. Santos Santos
Luis A. Camacho
author_sort Tania F. Santos Santos
collection DOAJ
description Decision-making in highly altered catchments occurs at different temporal and spatial scales, requiring integration of various datasets and models. This paper introduces two of the components of an environmental multiscale decision support system (EMDSS) for highly altered catchments, designed to make decisions at different time scales. First, an integrated dynamic flow and water quality model is proposed to analyze the river system, including wastewater discharges and water intakes. This integrated model is capable of representing unsteady flow conditions, allowing analysis at different time scales. Second, three postprocessing tools are presented to support short- (hours to days), medium- (days to months), and long- (years to decades) term operational, management, and planning decisions. The water quality component of the model can represent conventional and toxic determinands to simultaneously analyze domestic and industrial pollution throughout a river system. The first postprocessing tool of the EMDSS is useful in defining concentration limits for wastewater discharges for different water users downstream. The second tool allows the assessment of river water quantity and quality to determine water availability for intake extensions and medium-term wastewater flow augmentation. The third makes it possible to simulate and perform effective operational reservoir releases to improve water quality in the river during short-term pollution incidents. The proposed integrated model and postprocessing tools are applied in the upper Bogotá River stretch in Colombia, one of the most altered catchments and polluted rivers in the world. The results obtained illustrate the utility of the proposed EMDSS for river management and decision making regarding water quality at different time scales.
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spelling doaj.art-42f9028a6f5e44e58ad2bad3c7ecc2342023-11-23T18:10:35ZengMDPI AGWater2073-44412022-01-0114337410.3390/w14030374An Integrated Water Quality Model to Support Multiscale Decisions in a Highly Altered CatchmentTania F. Santos Santos0Luis A. Camacho1Environmental Engineering Research Center (CIIA), Civil and Environmental Engineering Department, Universidad de los Andes, Bogotá 111711, ColombiaEnvironmental Engineering Research Center (CIIA), Civil and Environmental Engineering Department, Universidad de los Andes, Bogotá 111711, ColombiaDecision-making in highly altered catchments occurs at different temporal and spatial scales, requiring integration of various datasets and models. This paper introduces two of the components of an environmental multiscale decision support system (EMDSS) for highly altered catchments, designed to make decisions at different time scales. First, an integrated dynamic flow and water quality model is proposed to analyze the river system, including wastewater discharges and water intakes. This integrated model is capable of representing unsteady flow conditions, allowing analysis at different time scales. Second, three postprocessing tools are presented to support short- (hours to days), medium- (days to months), and long- (years to decades) term operational, management, and planning decisions. The water quality component of the model can represent conventional and toxic determinands to simultaneously analyze domestic and industrial pollution throughout a river system. The first postprocessing tool of the EMDSS is useful in defining concentration limits for wastewater discharges for different water users downstream. The second tool allows the assessment of river water quantity and quality to determine water availability for intake extensions and medium-term wastewater flow augmentation. The third makes it possible to simulate and perform effective operational reservoir releases to improve water quality in the river during short-term pollution incidents. The proposed integrated model and postprocessing tools are applied in the upper Bogotá River stretch in Colombia, one of the most altered catchments and polluted rivers in the world. The results obtained illustrate the utility of the proposed EMDSS for river management and decision making regarding water quality at different time scales.https://www.mdpi.com/2073-4441/14/3/374decision support systemsmultiscale decision-making processenvironmental assessmentsriver managementBogotá River
spellingShingle Tania F. Santos Santos
Luis A. Camacho
An Integrated Water Quality Model to Support Multiscale Decisions in a Highly Altered Catchment
Water
decision support systems
multiscale decision-making process
environmental assessments
river management
Bogotá River
title An Integrated Water Quality Model to Support Multiscale Decisions in a Highly Altered Catchment
title_full An Integrated Water Quality Model to Support Multiscale Decisions in a Highly Altered Catchment
title_fullStr An Integrated Water Quality Model to Support Multiscale Decisions in a Highly Altered Catchment
title_full_unstemmed An Integrated Water Quality Model to Support Multiscale Decisions in a Highly Altered Catchment
title_short An Integrated Water Quality Model to Support Multiscale Decisions in a Highly Altered Catchment
title_sort integrated water quality model to support multiscale decisions in a highly altered catchment
topic decision support systems
multiscale decision-making process
environmental assessments
river management
Bogotá River
url https://www.mdpi.com/2073-4441/14/3/374
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