A state-of-the-art review for the prediction of overflow in urban sewer systems

Ma, Shihui; Zayed, Tarek; Xing, Jiduo; Shao, Yuyang

doi:10.1016/j.jclepro.2023.139923

Cited by 10 publications

(3 citation statements)

References 71 publications

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“…Currently, most studies on urban flood prediction rely on physically based flood simulation models such as MIKE Urban, InfoWorks ICM, and MOUSE [26][27][28][29]. Although these models can couple conduit flow and surface runoff simulations and demonstrate good simulation accuracy, they face the challenge of prolonged simulation times, especially for large simulation areas.…”

Section: Introductionmentioning

confidence: 99%

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

Sun,

Zhu,

Zhang

et al. 2024

Water

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

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Section: Introductionmentioning

confidence: 99%

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

Sun,

Zhu,

Zhang

et al. 2024

Water

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“…Increases in CSO events may be caused by climate change, increases in urban population and reduction in soil rainwater retention [32] . For completeness, the papers [60] and [46] details the state of the art for overflow prediction in wastewater systems.…”

Section: Introductionmentioning

confidence: 99%

A review of pollution-based real-time modelling and control for sewage systems

da Silva Gesser,

Voos,

Cornelissen

et al. 2024

Heliyon

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“…Approximately 50% of the total area of The Gambia is less than 20 m above mean sea level, and around 20% are seasonally or diurnally ooded. Floods caused by uctuating rain events and sea level rise can result in wastewater over ow and thus further increase in environmental contamination 13,14 . This is relevant to…”

Section: Introductionmentioning

confidence: 99%

Rethinking water resources: Harnessing The Gambia River with pressure-driven membrane processes for sustainable supply

Boussouga,

Lin,

Schmidt

et al. 2024

Preprint

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

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A state-of-the-art review for the prediction of overflow in urban sewer systems

Cited by 10 publications

References 71 publications

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

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

A review of pollution-based real-time modelling and control for sewage systems

Rethinking water resources: Harnessing The Gambia River with pressure-driven membrane processes for sustainable supply

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