Monitoring and modelling to support wastewater system management in developing mega-cities.

Pablo Rodriguez, Juan, McIntyre, Neil, Diaz-Granados, Mario, Pablo Quijano, Juan and Maksimovic, Cedo (2013) Monitoring and modelling to support wastewater system management in developing mega-cities.. Science of the Total Environment, 445 79-93. doi:10.1016/j.scitotenv.2012.12.022


Author Pablo Rodriguez, Juan
McIntyre, Neil
Diaz-Granados, Mario
Pablo Quijano, Juan
Maksimovic, Cedo
Title Monitoring and modelling to support wastewater system management in developing mega-cities.
Journal name Science of the Total Environment   Check publisher's open access policy
ISSN 0048-9697
1879-1026
Publication date 2013-02
Year available 2013
Sub-type Article (original research)
DOI 10.1016/j.scitotenv.2012.12.022
Volume 445
Start page 79
End page 93
Total pages 15
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Collection year 2014
Language eng
Formatted abstract
Urban drainage system models can be useful to assess and manage system performance and to plan its development. However, due to data and computational costs, sophisticated, high-resolution contemporary models of the sewer system may not be applicable. This constraint is particularly marked in developing country mega-cities where catchments can be large, data tend to be scarce, and there are many unknowns, for example regarding sources, losses and wrong connections. This paper presents work undertaken over the last 7 years to develop a suitable monitoring and modelling framework to support operation and development of the wastewater system of Bogotá (Colombia). Components of the framework covered here are: (a) the flow and water quality database, (b) a wastewater pollution load generator, and (c) a semi-distributed sewer network model, which aims at a complexity that matches the information available from the previous two components. Results from a catchment within Bogotá, area 150 km2 and with 2.5 million inhabitants, show that the model outputs capture the scale and dynamics of the observed concentrations and loads at various points on the sewer system. However uncertainty is high because much of variability of observed dry weather flow profiles is apparently random. Against this variability, the effects of in-sewer processes were not identifiable except where backwaters caused particularly high retention times. Hence the work has resulted in an operational model with a scientifically justified, yet useful, level of complexity for Bogotá. More generally, the work demonstrates the value of monitoring and modelling programmes, including having modellers actively involved in monitoring specification and operations; and the insights into suitable level of model complexity that may be gained by uncertainty and sensitivity analysis.
Keyword Bogota's urban drainage
Grey-box modelling
Sensitivity analysis
Urban drainage systems
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
Sustainable Minerals Institute Publications
 
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