Urban Water Journal, Volume 20, Issue 9 (2023)

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Urban Water Journal, Volume 20, Issue 9 (2023)

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Review Article

Review Article
The role of graph-based methods in urban drainage networks (UDNs): review and directions for future
Shi Xiaoyu, Liu Zijing, Carlos Velazquez & Jia Haifeng
Pages: 1095-1109
Published online: 01 Sep 2023
AbstractforThe role of graph-based methods in urban drainage networks (UDNs): review and directions for future | Full Text | References | PDF (2.6 MB) | EPUB
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Research Articles

Article
Resilience assessment of water distribution networks exposed to substance intrusion
E. G. Rokstad, C. Makropoulos & M. M. Rokstad
Pages: 1110-1122
Published online: 21 Jul 2023
AbstractforResilience assessment of water distribution networks exposed to substance intrusion | Full Text | References | PDF (4.4 MB) | EPUB
  • 1212 Views
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Open Access
Article
Acoustic signal based water leakage detection system using hybrid machine learning model
M. Saravanabalaji, N. Sivakumaran, S. Ranganthan & V. Athappan
Pages: 1123-1139
Published online: 01 Aug 2023
AbstractforAcoustic signal based water leakage detection system using hybrid machine learning model | Full Text | References | PDF (9.8 MB) | EPUB
  • 209 Views
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Article
An ensemble data-driven approach for incorporating uncertainty in the forecasting of stormwater sewer surcharge
Felix Schmid & Jorge Leandro
Pages: 1140-1156
Published online: 25 Jul 2023
AbstractforAn ensemble data-driven approach for incorporating uncertainty in the forecasting of stormwater sewer surcharge | Full Text | References | PDF (8 MB) | EPUB
  • 210 Views
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Article
Validity of chlorine-wall reaction models for drinking water distribution systems
Ian Fisher, George Kastl & Arumugam Sathasivan
Pages: 1157-1168
Published online: 31 Aug 2023
AbstractforValidity of chlorine-wall reaction models for drinking water distribution systems | Full Text | References | PDF (630.8 KB) | EPUB | Supplemental
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Open Access
Article
Leak detection method of liquid-filled pipeline based on VMD and SVM
Si-Liang Zhao, Shao-Gang Liu, Bo Qiu, Zhou Hong, Dan Zhao & Li-Qiang Dong
Pages: 1169-1182
Published online: 05 Sep 2023
AbstractforLeak detection method of liquid-filled pipeline based on VMD and SVM | Full Text | References | PDF (9.2 MB) | EPUB
  • 164 Views
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Article
Understanding cross-sectoral innovations for urban water management through the lens of organizational ambidexterity
Eva Nieuwenhuis, Hans de Bruijn, Eefje Cuppen & Jeroen Langeveld
Pages: 1183-1195
Published online: 06 Sep 2023
AbstractforUnderstanding cross-sectoral innovations for urban water management through the lens of organizational ambidexterity | Full Text | References | PDF (339.6 KB) | EPUB | Supplemental
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Open Access
Article
Prioritization of the key underlying sustainability indicators of urban green drainage infrastructure systems
D. Owusu-Manu, S. Seidu, R.O. Asiedu, J.I.T. Buertey, A.K. Danso & D.J. Edwards
Pages: 1196-1206
Published online: 28 Aug 2023
AbstractforPrioritization of the key underlying sustainability indicators of urban green drainage infrastructure systems | Full Text | References | PDF (379.7 KB) | EPUB
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Article
The impact of wastewater-irrigated urban agriculture on microbial quality of drinking water at household level in Addis Ababa, Ethiopia
Adnan Sirage Ali, Sirak Robele Gari, Michaela L Goodson, Claire L. Walsh, Bitew K. Dessie & Argaw Ambelu
Pages: 1207-1218
Published online: 01 Sep 2023
AbstractforThe impact of wastewater-irrigated urban agriculture on microbial quality of drinking water at household level in Addis Ababa, Ethiopia | Full Text | References | PDF (1.4 MB) | EPUB
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Research article

Article
Deciphering and predict corrosion effect, influencing factors and microbial mechanism of sewer concrete corrosion based on extensive data analysis and machine learning
Wenhao Wang, Xinxin Xu, Jingguo Cao, Ming Zeng & Wu Zhang
Pages: 1219-1230
Published online: 06 Sep 2023
AbstractforDeciphering and predict corrosion effect, influencing factors and microbial mechanism of sewer concrete corrosion based on extensive data analysis and machine learning | Full Text | References | PDF (11.4 MB) | EPUB | Supplemental
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