Rethinking water resources: Harnessing The Gambia River with pressure-driven membrane processes for sustainable supply DOI Creative Commons
Youssef‐Amine Boussouga,

Zhi-Fu Lin,

Matthias Schmidt

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: July 25, 2024

Abstract The Gambia River is a tidal and tropical river that covers 12% of the area to date not harnessed for drinking water supply purposes. While freshwater region mainly used irrigation, groundwater wells are predominantly water. Salinity intrusion wastewater treatment requirements challenging current practices. Previous investigation on quality indicated upper regions, with permanent pristine freshwater, would be well suited after ultrafiltration (UF) treatment. At 120 km from mouth coast, where becomes saline, desalination required. With sea level rise, this saline expanding further inland, requiring increasingly energy-intensive treatments such as nanofiltration/reverse osmosis (NF/RO), while also affecting quality. In urban near mouth, there potential reuse increase availability, addressing increasing load micropollutants discharged effluents. UF could decrease turbidity ≤0.5 NTU partial removal dissolved organic carbon (DOC). During operation at controlled flux, an in transmembrane pressure was observed, attributed fouling caused by high (up 140 NTU) samples region. Dense NF/RO membranes removed salinity achieved WHO recommended guideline (< 1 g/L TDS) regions salinities up 4 during beginning dry season between Tendaba Jasobo 100-120 mouth. more open NF membrane treat below 2 100-110 Micropollutants (MP), total concentration 26.3 µg/L pesticides, 38.4 pharmaceuticals, 2.1 hormones, were found plant (WWTP) effluent 500 m ocean. This led degradation nearby stream, connected River, which most MP concentrations surpassing surface standards. able remove guidelines. appropriate pretreatment mitigate fouling, thus reduce energy consumption process overall cost, technology municipal non-potable purposes, irrigation. will depend selection salinity. findings research can extended beyond local context contribute similar challenges other countries worldwide

Language: Английский

Real-Time sanitary sewer blockage detection system using IoT DOI
Nour Faris, Tarek Zayed, Ehsan Aghdam

et al.

Measurement, Journal Year: 2024, Volume and Issue: 226, P. 114146 - 114146

Published: Jan. 10, 2024

Language: Английский

Citations

6
Bibliometric analysis of global performance and trends of research on combined sewer overflows (CSOs) from 1990 to 2022 DOI Creative Commons

Qingbang Yang,

Chen Shen, Chunhua Li

et al.

Water Science & Technology, Journal Year: 2024, Volume and Issue: 89(6), P. 1554 - 1569

Published: March 8, 2024

Abstract Combined sewer overflows (CSOs) are one of the main sources pollution in urban water systems and significantly impede restoration body functionalities within rivers lakes. To understand research frontier trends CSOs comprehensively systematically, a visual statistical analysis literature related to Web Science core database from 1990 2022 was conducted using bibliometric method HistCite Pro VOSviewer. The results reveal total 1,209 pertinent publications 2022, quantity CSOs-related indicated an increasing trend. Investigations distribution fate typical pollutants their ecological effects on receiving waters studies control technologies (source reduction, process control, end-of-pipe treatment) current focus research. based source reduction monitoring emerging contaminants at forefront scientific investigations CSOs. This study systematically summarized topics future directions CSOs, thus providing reference for environment management

Language: Английский

Citations

6
Evaluating grease trap management practices: A case study from Seri Kembangan, Malaysia DOI

Li Xin Lee,

Nur Fatihah Eliya Mohamed Fauzi,

Ahmad Muhaimin Roslan

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 373, P. 123935 - 123935

Published: Jan. 1, 2025

Language: Английский

Citations

0
Real-Time Detection of Sewer Water Levels and Blockages Using UHF-RFID Sensors DOI Creative Commons

Sundra R. Tatiparthi,

Yashika G. De Costa,

David Wyllie

et al.

Water Research, Journal Year: 2025, Volume and Issue: 278, P. 123380 - 123380

Published: Feb. 24, 2025

Language: Английский

Citations

0
Assessing Air Pocket Pressure Pulses in Sealed Manholes of Urban Drainage Systems Under Pressurisation Conditions DOI Open Access
Óscar E. Coronado-Hernández,

Javier Mouthon-Bello,

Alfonso Arrieta-Pastrana

et al.

Water, Journal Year: 2025, Volume and Issue: 17(7), P. 984 - 984

Published: March 27, 2025

An entrapped air pocket can induce pressure surges in sewer systems. Previous studies on these systems have focused analysing its effects under conditions where is expelled. This research introduces a mathematical model to calculate caused by compression sealed manhole (without an orifice size) that may occur at the output of pumping station. The based rigid water column theory, polytropic law, and continuity equation. proposed validated using 7.3 m long experimental facility equipped with chamber simulating cover. It demonstrated accurately predict peak head 18.9 metres associated oscillations. A sensitivity analysis also performed assess variations behaviour. Furthermore, effectively captures system’s final conditions. Lastly, case study illustrates model’s applicability installation length 250 m.

Language: Английский

Citations

0
Shock load effects on WWTP performance under low loads following capacity expansion for combined sewer overflow control DOI Creative Commons
Xiaomeng Han, Tingzhou Yu, Weigang Wang

et al.

Desalination and Water Treatment, Journal Year: 2025, Volume and Issue: unknown, P. 101147 - 101147

Published: March 1, 2025

Language: Английский

Citations

0
A systematic review of greenhouse gas emissions derived from combined sewer overflows and synergistic control strategies toward carbon neutrality DOI Creative Commons
Yilin Xu, Cheng Ye, Zuxin Xu

et al.

Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Markov Chain Modeling of Combined Sewer Tank Overflow DOI

Ahmed Abdelaal,

Sonia Hassini

Journal of Sustainable Water in the Built Environment, Journal Year: 2025, Volume and Issue: 11(3)

Published: April 16, 2025

Language: Английский

Citations

0
Analyzing the Mitigation Effect of Urban River Channel Flood Diversion on Waterlogging Disasters Based on Deep Learning DOI Open Access

Qingzhen Sun,

Dehua Zhu, Zhaoyang Zhang

et al.

Water, Journal Year: 2024, Volume and Issue: 16(13), P. 1771 - 1771

Published: June 21, 2024

In recent years, urban waterlogging disasters have become increasingly prominent. Physically based simulation models require considerable computational time. Therefore, rapid and accurate prediction of pluvial floods are important for disaster prevention mitigation. For this purpose, we explored an method on a long short-term memory neural network model that integrates attention mechanism 1D convolutional (1DCNN–LSTM–Attention), using the diversion Jinshui River in Zhengzhou, China, as case study. method, 1DCNN is responsible extracting features from monitoring data, LSTM capable learning time-series data more effectively, Attention highlights impact input effectiveness. The results indicated following: (1) exhibited good accuracy. Pearson correlation coefficient exceeded 0.95. It was 50–100 times faster than InfoWorks ICM model. (2) Diversion pipelines can meet design flood standard 200-year return period, aligning with expected engineering objectives. (3) channel significantly reduced extent inundation. Under 30-year period rainfall scenario, maximum inundation area decreased by 1.46 km2, approximately equivalent to 205 international soccer fields.

Language: Английский

Citations

2
A hybrid machine learning-based model for predicting failure of water mains under climatic variations: A Hong Kong case study DOI
Jiduo Xing, Tarek Zayed, Yanqing Dai

et al.

Tunnelling and Underground Space Technology, Journal Year: 2024, Volume and Issue: 152, P. 105958 - 105958

Published: July 11, 2024

Language: Английский

Citations

2