Deciphering carbon emissions in urban sewer networks: Bridging urban sewer networks with city-wide environmental dynamics

J Chen, HC Wang, WX Yin, YQ Wang, J Lv, AJ Wang - Water Research, 2024 - Elsevier
As urbanization accelerates, understanding and managing carbon emissions from urban
sewer networks have become crucial for sustainable urban water cycles. This review …

Machine learning‐based surrogate modeling for urban water networks: review and future research directions

A Garzón, Z Kapelan, J Langeveld… - Water Resources …, 2022 - Wiley Online Library
Surrogate models replace computationally expensive simulations of physically‐based
models to obtain accurate results at a fraction of the time. These surrogate models, also …

[HTML][HTML] Global perspectives on groundwater infiltration to sewer networks: A threat to urban sustainability

N Zeydalinejad, AA Javadi, JL Webber - Water Research, 2024 - Elsevier
While existing studies on sewer networks have explored topics such as surface water inflow,
limited research has delved into groundwater infiltration (GWI). This study aims to fill this …

[HTML][HTML] From fully physical to virtual sensing for water quality assessment: A comprehensive review of the relevant state-of-the-art

T Paepae, PN Bokoro, K Kyamakya - Sensors, 2021 - mdpi.com
Rapid urbanization, industrial development, and climate change have resulted in water
pollution and in the quality deterioration of surface and groundwater at an alarming rate …

Prediction models for bioavailability of Cu and Zn during composting: Insights into machine learning

B Bai, L Wang, F Guan, Y Cui, M Bao, S Gong - Journal of Hazardous …, 2024 - Elsevier
Bioavailability assessment of heavy metals in compost products is crucial for evaluating
associated environmental risks. However, existing experimental methods are time …

Predicting the ammonia nitrogen of wastewater treatment plant influent via integrated model based on rolling decomposition method and deep learning algorithm

K Yan, C Li, R Zhao, Y Zhang, H Duan… - Sustainable Cities and …, 2023 - Elsevier
Timely and accurate assessment of key sewage quality indicators based on deep learning
models has attracted much attention for intelligent wastewater treatment. Decomposition …

Deep learning model based on urban multi-source data for predicting heavy metals (Cu, Zn, Ni, Cr) in industrial sewer networks

Y Jiang, C Li, H Song, W Wang - Journal of Hazardous Materials, 2022 - Elsevier
The high concentrations of heavy metals in municipal industrial sewer networks will
seriously impact the microorganisms of the activated sludge in the wastewater treatment …

A simplified approach for the hydrological simulation of urban drainage systems with SWMM

A Farina, A Di Nardo, R Gargano, JA van der Werf… - Journal of …, 2023 - Elsevier
The management of an Urban Drainage System (UDS) is a complex task, as it requires
extensive knowledge about precipitation regime, hydrological features of the catchment …

[HTML][HTML] Estimation of the impact of combined sewer overflows on surface water quality in a sparsely monitored area

D Bertels, J De Meester, G Dirckx, P Willems - Water Research, 2023 - Elsevier
Combined sewer overflows (CSOs) can have a severe negative, local impact on surface
water systems. To assure good ecological surface water quality and drinking water …

A 1D-2D dynamic bidirectional coupling model for high-resolution simulation of urban water environments based on GPU acceleration techniques

G Luan, J Hou, T Wang, D Li, Q Zhou, L Liu… - Journal of Cleaner …, 2023 - Elsevier
Urban water pollution is an important issue of global concern. An integrated model that can
be employed to efficiently and accurately simulate the whole system of urban surfaces …