Identification of illicit discharges in sewer networks by an SWMM-Bayesian coupled approach

© 2024 The Authors This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY-NC-ND 4.0), which permits copying and redistribution for non-commercial purposes with no derivatives, provided the original work is properly cited (http://creativecommons....

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 90(2024), 3 vom: 14. Aug., Seite 951-967
1. Verfasser: Yang, Liyuan (VerfasserIn)
Weitere Verfasser: Huang, Biao, Liu, Jiachun
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Water science and technology : a journal of the International Association on Water Pollution Research
Schlagworte:Journal Article Bayesian-MCMC SWMM-Bayesian illicit discharge sewer network source identification Sewage Water Pollutants, Chemical