Modelling water quality in drinking water distribution networks from real-time direction data
Modelling of contamination spread and location of a contamination source in a water distribution network is an important task. There are several simulation tools developed, however the significant part of them is based on hydraulic models that need node demands as input data that sometimes may resul...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2012-08-01
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| Series: | Drinking Water Engineering and Science |
| Online Access: | http://www.drink-water-eng-sci.net/5/39/2012/dwes-5-39-2012.pdf |
| _version_ | 1818420642775564288 |
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| author | S. Nazarovs S. Dejus T. Juhna |
| author_facet | S. Nazarovs S. Dejus T. Juhna |
| author_sort | S. Nazarovs |
| collection | DOAJ |
| description | Modelling of contamination spread and location of a contamination source in a water distribution network is an important task. There are several simulation tools developed, however the significant part of them is based on hydraulic models that need node demands as input data that sometimes may result in false negative results and put users at risk. The paper considers applicability of a real-time flow direction data based model for contaminant transport in a distribution network of a city and evaluates the optimal number of flow direction sensors. Simulation data suggest that the model is applicable for the distribution network of the city of Riga and that the optimal number of sensors in this case is around 200. |
| first_indexed | 2024-12-14T12:57:43Z |
| format | Article |
| id | doaj.art-a77f878e9e4d45bd9cc5d6135bb6a52b |
| institution | Directory Open Access Journal |
| issn | 1996-9457 1996-9465 |
| language | English |
| last_indexed | 2024-12-14T12:57:43Z |
| publishDate | 2012-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Drinking Water Engineering and Science |
| spelling | doaj.art-a77f878e9e4d45bd9cc5d6135bb6a52b2022-12-21T23:00:32ZengCopernicus PublicationsDrinking Water Engineering and Science1996-94571996-94652012-08-0151394510.5194/dwes-5-39-2012Modelling water quality in drinking water distribution networks from real-time direction dataS. NazarovsS. DejusT. JuhnaModelling of contamination spread and location of a contamination source in a water distribution network is an important task. There are several simulation tools developed, however the significant part of them is based on hydraulic models that need node demands as input data that sometimes may result in false negative results and put users at risk. The paper considers applicability of a real-time flow direction data based model for contaminant transport in a distribution network of a city and evaluates the optimal number of flow direction sensors. Simulation data suggest that the model is applicable for the distribution network of the city of Riga and that the optimal number of sensors in this case is around 200.http://www.drink-water-eng-sci.net/5/39/2012/dwes-5-39-2012.pdf |
| spellingShingle | S. Nazarovs S. Dejus T. Juhna Modelling water quality in drinking water distribution networks from real-time direction data Drinking Water Engineering and Science |
| title | Modelling water quality in drinking water distribution networks from real-time direction data |
| title_full | Modelling water quality in drinking water distribution networks from real-time direction data |
| title_fullStr | Modelling water quality in drinking water distribution networks from real-time direction data |
| title_full_unstemmed | Modelling water quality in drinking water distribution networks from real-time direction data |
| title_short | Modelling water quality in drinking water distribution networks from real-time direction data |
| title_sort | modelling water quality in drinking water distribution networks from real time direction data |
| url | http://www.drink-water-eng-sci.net/5/39/2012/dwes-5-39-2012.pdf |
| work_keys_str_mv | AT snazarovs modellingwaterqualityindrinkingwaterdistributionnetworksfromrealtimedirectiondata AT sdejus modellingwaterqualityindrinkingwaterdistributionnetworksfromrealtimedirectiondata AT tjuhna modellingwaterqualityindrinkingwaterdistributionnetworksfromrealtimedirectiondata |