Hidden threat: the influence of sea-level rise on coastal groundwater and the convergence of impacts on municipal infrastructure

S Habel, CH Fletcher, MM Barbee… - Annual Review of …, 2024 - annualreviews.org
Sea-level rise (SLR) is influencing coastal groundwater by both elevating the water table
and shifting salinity profiles landward, making the subsurface increasingly corrosive. Low …

[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 …

Deep learning based data-driven model for detecting time-delay water quality indicators of wastewater treatment plant influent

Y Zhang, C Li, H Duan, K Yan, J Wang… - Chemical Engineering …, 2023 - Elsevier
Rapid and accurate detection of time-delayed water quality indicators (WQIs) is the key to
achieving fast feedback regulation of wastewater treatment plants (WWTPs) that enables its …

Microplastics discharged from urban drainage system: Prominent contribution of sewer overflow pollution

Y Zhou, Y Li, Z Yan, H Wang, H Chen, S Zhao, N Zhong… - Water Research, 2023 - Elsevier
Urban drainage system is an important channel for terrigenous microplastics (< 5 mm in
size) to migrate to urban water bodies, especially the input load caused by overflow pollution …

A deep learning algorithm for multi-source data fusion to predict water quality of urban sewer networks

Y Jiang, C Li, L Sun, D Guo, Y Zhang… - Journal of Cleaner …, 2021 - Elsevier
Point source pollution in urban drainage networks, which is difficult to monitor and control,
has been regarded as an intractable problem. To solve the problem, key water quality …

Enhancing waste management and prediction of water quality in the sustainable urban environment using optimized algorithm of least square support vector machine …

S Zhang, AH Omar, AS Hashim, T Alam, HAEW Khalifa… - Urban Climate, 2023 - Elsevier
Urban groundwater influences a wide range of processes in the natural world, including
climatic, geological, geomorphic, biogeochemical, ecotoxicological, hydrological, and …

Data-driven method based on deep learning algorithm for detecting fat, oil, and grease (FOG) of sewer networks in urban commercial areas

Y Jiang, C Li, Y Zhang, R Zhao, K Yan, W Wang - Water Research, 2021 - Elsevier
The content of fat, oil and grease (FOG) in the sewer network sediments is the key indicator
for diagnosing sewer blockage and overflow. However, the traditional FOG detection is time …

Enhancing real-time prediction of effluent water quality of wastewater treatment plant based on improved feedforward neural network coupled with optimization …

Y Xie, Y Chen, Q Lian, H Yin, J Peng, M Sheng… - Water, 2022 - mdpi.com
To provide real-time prediction of wastewater treatment plant (WWTP) effluent water quality,
a machine learning (ML) model was developed by combining an improved feedforward …

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 …

China sewage treatment engineering issues assessment

J Xu, Z Xu - Journal of Cleaner Production, 2022 - Elsevier
Urban clean water is an important component of water resources management and is
essential for achieving the United Nations Sustainable Development Goal. The Chinese …