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

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Июль 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

Язык: Английский

Combined impacts of heavy rainfall, high tides, and sea level rise on multi-source pollution in coastal urban watersheds: a whole-of-system assessment DOI
Chi-Cheng Lei, Liang Gao,

Shengzhi Huang

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145787 - 145787

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Quantitative microbial risk assessment for drinking water intake threat prioritization: a comparison of vulnerability and threat assessment according to source water protection regulations of two Canadian provinces DOI Creative Commons

Milad Taghipour,

Émile Sylvestre, Ahmad Shakibaeinia

и другие.

Environmental Challenges, Год журнала: 2025, Номер unknown, С. 101193 - 101193

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

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

и другие.

Water, Год журнала: 2024, Номер 16(13), С. 1771 - 1771

Опубликована: Июнь 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.

Язык: Английский

Процитировано

2
High dissolved oxygen regulation by side-stream supersaturated oxygenation impedes black-odor removal from rivers affected by combined sewer overflows DOI
Qiuheng Zhu, Zhiyuan Wang, Ying Xiong

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 462, С. 142734 - 142734

Опубликована: Май 28, 2024

Язык: Английский

Процитировано

1
A review of pollution-based real-time modelling and control for sewage systems DOI Creative Commons
Rodrigo da Silva Gesser, Holger Voos,

Alex Cornelissen

и другие.

Heliyon, Год журнала: 2024, Номер 10(11), С. e31831 - e31831

Опубликована: Май 31, 2024

Conventional solutions for wastewater collection focus on reducing overflow events in the sewage network, which can be achieved by adapting sewer infrastructure or, a more cost-effective alternative, implementing non-engineering management solution. The state-of-the-art solution is centered Real-Time Control (RTC), already resulting positive impact environment decreasing volume of being discharged into receiving waters. Researchers have been continuing efforts towards upgrading RTC systems and new approach, although rudimentary, was introduced 1997, known as Pollution-based (P-RTC), added water quality (concentration or load) information explicitly within algorithm. Formally, P-RTC encompassed several control methodologies using measurement estimation concentration (i.e. COD ammonia) throughout network. use result better performance with reduction overflowing observed associated an increase arriving at Wastewater Treatment Plant (WWTP). literature revealed that differentiated by: (1) implementation method; (2) how incorporated, (3) overall objectives. Additionally, this paper evaluates hydrological models used P-RTC. objective to compile relevant research pollution-based modelling real-time systems, explaining general concepts each category their differences.

Язык: Английский

Процитировано

1
Feature Importance in Machine Learning with Explainable Artificial Intelligence (XAI) for Rainfall Prediction DOI Creative Commons
Mehul Patel, Ankit Shah

ITM Web of Conferences, Год журнала: 2024, Номер 65, С. 03007 - 03007

Опубликована: Янв. 1, 2024

Precipitation expectation is a pivotal subject for the administration of water assets and counteraction hydrological calamities. To make precipitation forecast find essential elements influencing precipitation, this study presents logical profound learning approach in two sections. The initial segment with consideration system which could foresee while second part clarification figures attribution values information weather conditions to evaluate their significance. A contextual investigation led on hourly India’s population wise top eight urban cities. outcomes predominantly demonstrate that main whose component esteem adversely/decidedly corresponded its esteem. review’s importance lies upgrading giving interpretability through recognizable proof persuasive variables, works long haul arranging more comprehension mind-boggling climate frameworks.

Язык: Английский

Процитировано

1
Application of a hybrid fuzzy-based algorithm to investigate the environmental impact of sewer overflow DOI
Saeed Reza Mohandes, Khalid Kaddoura,

Atul Kumar Singh

и другие.

Smart and Sustainable Built Environment, Год журнала: 2024, Номер unknown

Опубликована: Окт. 25, 2024

Purpose This study underscores the critical importance of well-functioning sewer systems in achieving smart and sustainable urban drainage within cities. It specifically targets pressing issue overflows (SO), widely recognized for their detrimental impact on environment public health. The primary purpose this research is to bridge significant gaps by investigating root causes SO incidents comprehending broader ecological consequences. Design/methodology/approach To fill gaps, introduces Multi-Phase Causal Inference Fuzzy-Based Framework (MCIF). MCIF integrates fuzzy Delphi technique, DEMATEL method, TOPSIS technique expert interviews. Drawing expertise from developed countries, systematically identifies prioritizes causes, explores causal interrelationships, environmental impacts compiles mitigation strategies. Findings study's findings are multifaceted substantially contribute addressing challenges. Utilizing MCIF, effectively factors behind incidents, highlighting relative significance. Additionally, it unravels intricate relationships among key such as blockages, flow velocity, infiltration inflow, under-designed pipe diameter deformation, holes or collapse, providing a profound insight into web influences leading SO. Originality/value originality presenting innovative tailored mitigation. combination techniques, input holistic analysis enriches existing knowledge. These pave way informed decision-making proactive measures achieve systems.

Язык: Английский

Процитировано

1
Quantitative Microbial Risk Assessment for Drinking Water Intake Threat Prioritization: A Comparison of Vulnerability and Threat Assessment According to Source Water Protection Regulations of Two Canadian Provinces DOI

Milad Taghipour,

Émile Sylvestre, Ahmad Shakibaeinia

и другие.

Опубликована: Янв. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Язык: Английский

Процитировано

0
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

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Июль 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

Язык: Английский

Процитировано

0