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Deciphering carbon emissions in urban sewer networks: Bridging urban sewer networks with city-wide environmental dynamics
As urbanization accelerates, understanding and managing carbon emissions from urban
sewer networks have become crucial for sustainable urban water cycles. This review …
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
Surrogate models replace computationally expensive simulations of physically‐based
models to obtain accurate results at a fraction of the time. These surrogate models, also …
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
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 …
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
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 …
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 …
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 …
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
The high concentrations of heavy metals in municipal industrial sewer networks will
seriously impact the microorganisms of the activated sludge in the wastewater treatment …
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
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 …
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
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 …
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 …
be employed to efficiently and accurately simulate the whole system of urban surfaces …