1999
DOI: 10.1016/s0273-1223(99)00072-4
|View full text |Cite
|
Sign up to set email alerts
|

Setting up measuring campaigns for integrated wastewater modelling

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
6
0

Year Published

2005
2005
2018
2018

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 27 publications
(6 citation statements)
references
References 17 publications
0
6
0
Order By: Relevance
“…Vanrolleghem et al (1999) give indications for the conception of measuring campaigns that produce data of adequate quality for integrated modelling Fletcher & Deletic (2008). formulate general requirements on data from the view of integrated urban wastewater management.…”
mentioning
confidence: 99%
“…Vanrolleghem et al (1999) give indications for the conception of measuring campaigns that produce data of adequate quality for integrated modelling Fletcher & Deletic (2008). formulate general requirements on data from the view of integrated urban wastewater management.…”
mentioning
confidence: 99%
“…Pipes with nearly steady values do not respond to changes in the model parameters and are not suitable for calibration. So the amount of information in a measurement is assumed to increase with the sensitivity of the pipe [35].…”
Section: Sensitivity Analysesmentioning
confidence: 99%
“…To represent the calibration performance, the number of pipes that exceed a NSE of 0.9 after model calibration is the chosen statistic presented in Figure 6. So the amount of information in a measurement is assumed to increase with the sensitivity of the pipe [35].…”
Section: Calibration To Specific Measurement Layoutsmentioning
confidence: 99%
“…As an example, the Integrated Catchment Simulator (ICS) basically links commercial models, such as MOUSE for drainage systems, STOAT for WWTP simulation, and MIKE11 for rivers (Tomicic et al 1999). One of the most relevant problems regarding the adoption of detailed models involves the significant parameterisation that requires lengthy and expensive data acquisition activities, as well as the costly computational resources necessary for running long-term simulations (Vanrolleghem et al 1999;Willems & Berlamont 2002;. In fact, these models are usually developed as stand-alone detailed representations of the different parts of the integrated system, and they have not been really developed for working together as a single modelling approach.…”
Section: Introductionmentioning
confidence: 99%