Enhancing inflow and infiltration detection in urban sewer networks with a new deterministic sensor placement method

Autor: Wu, Yuling, Zheng, Feifei, Yang, Yongfei, Zhang, Kaiming, Du, Kun, Duan, Huanfeng, Savic, Dragan, Kapelan, Zoran

Publikováno v: In Water Research 1 January 2025 268 Part A

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Enhancing inflow and infiltration detection in urban sewer networks with a new deterministic sensor placement method.

Autor: Wu Y; College of Civil Engineering and Architecture, Zhejiang University, China. Electronic address: wyl00@zju.edu.cn., Zheng F; College of Civil Engineering and Architecture, Zhejiang University, China. Electronic address: feifeizheng@zju.edu.cn., Yang Y; China Energy Construction Group Guangdong Electric Power Design and Research Institute, Guangzhou, China. Electronic address: yangyongfei@gedi.com.cn., Zhang K; China Energy Construction Group Guangdong Electric Power Design and Research Institute, Guangzhou, China. Electronic address: gdutwater_zkm@163.com., Du K; Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, China. Electronic address: dukun_cq@foxmail.com., Duan H; Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong. Electronic address: hf.duan@polyu.edu.hk., Savic D; KWR Water Research Institute, Nieuwegein, the Netherlands; Centre for Water Systems, University of Exeter, Exeter, UK. Electronic address: Dragan.Savic@kwrwater.nl., Kapelan Z; Department of Water Management, Delft University of Technology, Delft, the Netherlands. Electronic address: z.kapelan@tudelft.nl.

Publikováno v: Water research [Water Res] 2024 Oct 09; Vol. 268 (Pt A), pp. 122591. Date of Electronic Publication: 2024 Oct 09.