Localization method for water quality monitoring points using chlorine concentration measurements in real water network
Artykuł w czasopiśmie
MNiSW
100
Lista 2021
| Status: | |
| Autorzy: | Hołota Ewa, Kowalska Beata, Kowalski Dariusz |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Rok wydania: | 2020 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Wolumen/Tom: | 199 |
| Strony: | 227 - 233 |
| Web of Science® Times Cited: | 1 |
| Scopus® Cytowania: | 0 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| The paper presents a proposal for a method of water quality monitoring locations with the use of water quality model (WaterGems Software – Bentley), which simulates free chlorine concentration changes in a water supply network in conjunction with the heuristic method, based on elements of fractal geometry describing a water supply network. Basing on the iterative structure of fractal sets, the authors proposed to divide the network into sub-areas. The selection of sub-areas and the measurement points location is made possible by applying validity rankings. The rankings were determined by W and W1 indexes calculated by four coefficients describing the daily water demand, the required certainty of the water supply of demanded quality, the effects of water quality deterio-ration and the concentration of disinfectant in the water supply network. The W index referring to the sub-area ranking determines the order of location of water quality monitoring points, whereas the W1 index, describing the ranking of the nodes, indicates the specific location of that point. Thanks to the ranking method, it is possible to plan the sequence of installing measurement sensors. The elaborated method was tested in the existing water supply network. |
