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Retrofitting low-performance units to abate sewer overflow pollution based on mathematical model and Sobol algorithm

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Journal of Hydrodynamics 2023年第4期35卷 770-781页

作者： Zhi-chao Zhao Xiao-min Huang Hai-long Yin Jun-bo Wen Xiao-wei Fu Changjiang Institute of Survey PlanningDesign and ResearchWuhan430010China Key Laboratory of Yangtze River Water Environment Ministry of EducationTongji UniversityShanghai200092China State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and EngineeringTongji UniversityShanghai200092China Hubei Provincial Engineering Research Center for Comprehensive Water Environment Treatment in the Yangtze River Basin Wuhan430010China Key Laboratory of Urban Water Supply Water Saving and Water Environment Governance in the Yangtze River Delta of Ministry of Water ResourcesShanghai200092China

Optimal retrofit of low-performance units(LPUs)is promising to abate overflow pollutant mass loading of sewer systems during *** study presents a combination of mathematical model and Sobol algorithm to help identify LPUs of sewer systems and design retrofitting ***,the solution to minimize the overflow pollutant mass loading from sewers systems can be efficiently *** developed method was demonstrated at a catchment served by one wastewater treatment plant in the Chaohu City,Anhui Province of China,with five pumping stations and a total sewer length of 58.3 *** the catchment,there are three rivers and a small lake to receive overflows from the sewer *** them,one river that was mostly polluted was selected as the object of overflow pollution abatement during wet weather *** identifying the LPUs of the sewer system and developing retrofitting strategies using Sobol sequence,the mitigation of overflow pollution during wet weather period was *** show that the mass loading of chemical oxygen demand(COD)discharged into the target river could be reduced by 40.6%,by implementing optimal retrofit strategy of LPUs,i.e.,increasing the conveyance capacities of two pumping stations by 2.5–3.2 times and augmenting the diameters of 12 sewers by 1.25–1.29 *** further coordinate the abatement of overflow pollution and retrofit investment,Sobol sensitivity analysis was conducted to screen the dominant LPUs to update the optimal retrofit *** applying the updated strategy,the overflow COD mass loading per overflow event was close to that of non-updated strategy,while the retrofitting length of sewers was reduced by 40%.Therefore,on the basis of the presented method,decision-makers can flexibly develop retrofitting strategies of sewer system to abate overflow pollution during wet weathers in a cost-effective way.

关键词： Urban sewer system low-performance units Sobol sensitivity analysis sewer overflow optimal retrofit strategy

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Unraveling the synergistic mechanisms of coagulation combined with oxidation for the treatment of sewer overflow: The interaction between iron species and NaClO

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JOURNAL OF HAZARDOUS MATERIALS 2024年 480卷 135871页

作者： Guo, Qian Xu, Zuxin Chu, Wenhai Zhang, Jingyi Qi, Haiyue Lu, Chun Wang, Xingyu Tongji Univ Coll Environm Sci & Engn State Key Lab Pollut Control & Resource Reuse Shanghai 200092 Peoples R China Tongji Univ Minist Educ Key Lab Yangtze River Water Environm Shanghai 200092 Peoples R China Shanghai Inst Pollut Control & Ecol Secur Shanghai 200092 Peoples R China

During wet weather, sewer overflow pollution can pose a serious threat to surface water. In order to reduce the impact of overflow discharge on receiving waters, ferric chloride (Fe())/potassium ferrate (Fe())/polyacrylamide (PAM) coagulation (Fe()/Fe()/PAM) combined with sodium hypochlorite (NaClO) oxidation was proposed. Different combinations were constructed, including pre-oxidation coagulation (NaClO-Fe()/Fe()/PAM), pre-coagulation oxidation (Fe()/Fe()/PAM-NaClO), and synchronous coagulation oxidation (NaClO+Fe()/Fe()/PAM). The combined processes achieved efficient removal of conventional contaminants, and the produced byproducts were controlled, especially in the NaClO-Fe()/Fe()/PAM. The obvious discrepancy in the sulfamethoxazole (SMX) removal was observed in different processes. NaClO affected the distribution of hydrolyzed iron species, and the proportion of active iron in the NaClO-Fe()/Fe()/PAM significantly increased. More complexation sites were generated in the NaClO-Fe()/Fe()/PAM, which can complex with the coagulant and then effectively transfer to the flocs. The composition of the flocs further confirmed the differences in coagulation characteristics. The generated center dot OH played a crucial role in SMX removal in the NaClO+Fe()/Fe()/PAM, and ClO center dot was responsible for partial removal of ammonia nitrogen (NH4+-N). The contribution of high-valent iron species was confirmed, and the introduction of NaClO promoted the generation of iron species. This study may provide an ideal for overflow treatment to improve the urban water environment.

关键词： Ferrate (VI) Iron species Coagulation behavior Oxidation sewer overflow

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Abatement of sewer overflow Pollution Based on Distributed Optimal Control Approach

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ACS ES&T WATER 2022年第3期4卷 859-868页

作者： Zhao, Zhichao Zhang, Huijin Yu, Ziwen Yin, Hailong Xu, Zuxin Changjiang Inst Survey Planning Design & Res Wuhan 430010 Hubei Peoples R China Tongji Univ Key Lab Yangtze River Water Environm Minist Educ Shanghai 200092 Peoples R China Tongji Univ Shanghai Inst Pollut Control & Ecol Safety Shanghai 200092 Peoples R China Univ Florida Gainesville FL 32603 USA

Optimal control is promising to mitigate the pollution from combined sewer overflows during wet-weather days. In this study, a distributed optimal control approach to regulating multipoint controlling units of the urban sewer system was developed. By introducing a differential evolution algorithm with ranking-based mutation operators, good simulation results with lower overflow mass loadings can obtain higher evolutionary probabilities. Thus, the optimal solutions to minimize the overflow mass from a large sewer network can be efficiently obtained. The developed approach was demonstrated in a catchment (total coverage area of 22.4 km2) served by one wastewater treatment plant in Chaohu City, Anhui Province of China, with five pumping stations and 18 associated sewage or stormwater pumps as the distributed controllers. After a global optimization among various controlling units, performance of the sewer network in reducing its overflow was improved obviously through fully utilizing in-sewer storage and adjusting the sewer flow transportation harmoniously (i.e., an alternative mode of full storing and fast transportation in sequence). Accordingly, the overflow volume and the overflow mass loading of total nitrogen was reduced by 32.3% and 37.6%, respectively, without retrofitting the current sewer network. On the basis of the presented approach, decision-makers can develop a database for optimal regulation of sewer network under various rainfall scenarios and respond to sewer overflow control flexibly and cost-effectiveness.

关键词： urban sewers optimization algorithm sewer overflow integrated regulation mathematical model

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Application of a hybrid fuzzy-based algorithm to investigate the environmental impact of sewer overflow

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SMART AND SUSTAINABLE BUILT ENVIRONMENT 2024年

作者： Mohandes, Saeed Reza Kaddoura, Khalid Singh, Atul Kumar Elsayed, Moustafa Y. Banihashemi, Saeed Antwi-Afari, Maxwell Fordjour Olawumi, Timothy O. Zayed, Tarek Univ Manchester Sch Engn Dept Civil Engn & Management Manchester England Lawrence Technol Univ Dept Civil & Architectural Engn Southfield MI USA Dayananda Sagar Coll Engn Dept Civil Engn Bengaluru India Florida A&M Univ FSU Coll Engn Dept Civil & Environm Engn FAMU Tallahassee FL USA Univ Technol Sydney Sch Built Environm Sydney Australia Aston Univ Coll Engn & Phys Sci Dept Civil Engn Birmingham England Edinburgh Napier Univ Sch Comp Engn & Built Environm Edinburgh Scotland Hong Kong Polytech Univ Dept Bldg & Real Estate Kowloon Hong Kong Peoples R China

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

关键词： sewer overflow sewer pipelines Fuzzy sets theory Artificial intelligence Environmental concerns

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Impact of sewer overflow on public health: A comprehensive scientometric analysis and systematic review

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ENVIRONMENTAL RESEARCH 2022年 203卷 111609页

作者： Sojobi, Adebayo Olatunbosun Zayed, Tarek Hong Kong Polytech Univ Dept Bldg & Real Estate Hong Kong Peoples R China

sewer overflow (SO), which has attracted global attention, poses serious threat to public health and ecosystem. SO impacts public health via consumption of contaminated drinking water, aerosolization of pathogens, foodchain transmission, and direct contact with fecally-polluted rivers and beach sediments during recreation. However, no study has attempted to map the linkage between SO and public health including Covid-19 using scientometric analysis and systematic review of literature. Results showed that only few countries were actively involved in SO research in relation to public health. Furthermore, there are renewed calls to scale up environmental surveillance to safeguard public health. To safeguard public health, it is important for public health authorities to optimize water and wastewater treatment plants and improve building ventilation and plumbing systems to minimize pathogen transmission within buildings and transportation systems. In addition, health authorities should formulate appropriate policies that can enhance environmental surveillance and facilitate real-time monitoring of sewer overflow. Increased public awareness on strict personal hygiene and point-of-usewater-treatment such as boiling drinking water will go a long way to safeguard public health. Ecotoxicological studies and health risk assessment of exposure to pathogens via different transmission routes is also required to appropriately inform the use of lockdowns, minimize their socio-economic impact and guide evidence-based welfare/social policy interventions. Soft infrastructures, optimized sewer maintenance and prescreening of sewer overflow are recommended to reduce stormwater burden on wastewater treatment plant, curtail pathogen transmission and marine plastic pollution. Comprehensive, integrated surveillance and global collaborative efforts are important to curtail on-going Covid-19 pandemic and improve resilience against future pandemics.

关键词： sewer overflow Public health Scientometric analysis Systematic review Covid-19

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Predicting Combined sewer overflow Occurrence from Rainfall Data

Predicting Combined Sewer Overflow Occurrence from Rainfall ...

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作者： Chun, Soo Bin State University of New York at Buffalo

学位级别：M.S., Master of Science/Master of Surgery

The occurrence of combined sewer overflows (CSOs) is one of the most pressing environmental issues facing many cities with a combined sewer system (CSS). Combined sewers often exceed the capacity of the CSS or wastewater treatment plant and discharged directly into water bodies without treatment. CSO discharges contain a variety of contaminants and degrade receiving water quality. To manage CSOs, it is necessary to characterize their occurrence, which generally requires monitoring CSOs for long periods or building complex hydrological models for simulation. However, monitoring CSOs is very expensive, and hydrological models are often too time-consuming to predict CSO performance in real-time. Thus, this work aims to develop a simpler method for predicting CSO occurrences using rainfall characteristics and investigate which rainfall characteristic(s) can be the best predictor. The city of Buffalo, New York, is taken as a case study. A calibrated hydrological model was used for one-year continuous simulation to generate CSO discharges at 52 CSO outfalls. An R-language code was developed to analyze the characteristics of rainfall and CSO events. Rainfall characteristic quantities such as duration of the rainfall event, rainfall depth, and maximum rainfall intensity were assessed for their prediction power of CSO occurrence. Prediction accuracy with single characteristic, rainfall depth, or maximum rainfall intensity, ranged from 80 to 100%, while rainfall duration was found not a good predictor. Rainfall depth was found to be a better predictor for sewersheds with larger areas and smaller imperviousness percent, while maximum rainfall intensity was found better for sewersheds with smaller areas and bigger imperviousness percent. Moreover, the decision tree algorithm was utilized to combine more than one rainfall characteristic. The average prediction accuracy was slightly improved from 93% (using a single characteristic) to 95%. These results reveal that rainfall data

关键词： sewer overflow Rainfall Combined sewer system

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

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JOURNAL OF CLEANER PRODUCTION 2024年 434卷

作者： Ma, Shihui Zayed, Tarek Xing, Jiduo Shao, Yuyang Hong Kong Polytech Univ Fac Construct & Environm Dept Bldg & Real Estate Hung HomKowloon Hong Kong Peoples R China Univ Hong Kong Dept Civil Engn Pokfulam Hong Kong Peoples R China

sewer overflow (SO) is becoming a concerning issue since discharged wastewater contains toxic substances and debris resulting in hazardous pollution to the surrounding environment and water quality degradation;and spilled stormwater may cause localized flooding and even back-up into buildings. Therefore, it is necessary to predict the occurrence of SO in advance, which enables the utilities to post warnings, prioritize the resource allocation and take proactive measures to minimize negative effects on environment and society. This paper aims to provide a state-of-the-art review for the prediction of sewer overflow which is lacking in literature, including bibliometric survey, scientometric analysis, in-depth systematic review, and elucidation of the existing research gaps and the potential future research directions. The findings reveal that the majority focuses on combined sewer overflow (CSO), and artificial intelligence-based models are the most popular ones. The input factors vary widely among three model categories. Volume, likelihood of occurrence and water level are the three mostly adopted output factors. Further research directions are recommended to fill these gaps (e.g., consider socioeconomic factors and pipe properties, deploy IoT facilities to reduce false alarms, distinguish between regular and extreme weather conditions). This state-of-the-art review fills the gap of few endeavors focusing on SO prediction, and could provide the scholars and engineers with inclusive hindsight in dealing with harmful incidents.

关键词： sewer systems sewer overflow Prediction Scientometric analysis Systematic review

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Context-Specific Selection of Poisson cluster rainfall models for accurate urban hydrological simulations

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JOURNAL OF HYDROLOGY 2025年 652卷

作者： Lian, Taiqi Rieckermann, Jorg Kim, Dongkyun Cook, Lauren M. Swiss Fed Inst Aquat Res Dept Urban Water Management Dubendorf Switzerland EPFL Valais Wallis Lab Catchment Hydrol & Geomorphol Sion Switzerland Hongik Univ Dept Civil Engn Seoul South Korea

The Poisson cluster rainfall generation model has been underutilized in urban hydrological simulations due to challenges in reproducing fine-scale extreme precipitation. This study addresses this issue by comprehensively validating four variants of Poisson cluster rainfall models for three types of urban hydrological simulations: surface flooding, combined sewer overflow, and blue-green infrastructure performance. We generated 200 years of synthetic rainfall time series using the Base model (basic Poisson cluster model) and three variants: the Weight model (emphasizing variance and skewness in calibration), the Sine model (replacing rectangular rain cells with bell shapes), and the Weight + Sine model. This process was applied to rainfall data from 39 stations across Switzerland. Our key findings are: (1) While the Base model systematically underestimates extreme values, the Weight, Sine, and Weight + Sine models effectively address this bias. The Sine model directly enhances the intensity of fine-scale extreme rainfall, while the Weight model increases intensity at coarser durations;(2) Selecting the appropriate rainfall model depends on the timescales to which the urban systems are sensitive. For simulations of urban flooding, where fine-scale rainfall variability is crucial, models with bell-shaped rain cells outperform others. In contrast, systems like combined sewer overflows and blue-green infrastructure, which respond to coarser timescale variations, are better simulated by models using the Weight modification;(3) In all three simulation cases, the Base model failed to reproduce the quantile and interannual variability of hydrological metrics. This highlights the necessity of model modifications for reliable use in system design.

关键词： Stochastic weather generator Poisson cluster rainfall model Extreme rainfall Urban environment Flood sewer overflow Blue green infrastructure

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Evaluation of the critical factors causing sewer overflows through modeling of structural equations and system dynamics

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JOURNAL OF CLEANER PRODUCTION 2022年第0期375卷

作者： Mohandes, Saeed Reza Kineber, Ahmed Farouk Abdelkhalek, Sherif Kaddoura, Khalid Elsayed, Moustafa Hosseini, M. Reza Zayed, Tarek Univ Manchester Sch Engn Dept Mech Aerosp & Civil Engn Manchester M13 9PL England Prince Sattam Bin Abdulaziz Univ Coll Engn Al Kharj Dept Civil Engn Al Kharj 11942 Saudi Arabia Tanta Univ Fac Engn Struct Engn Dept Tanta Egypt AECOM 1150 Morrison Dr Ottawa ON K2H 8S9 Canada Hong Kong Polytech Univ Fac Construct & Environm FCE Dept Land Surveying & Geo Informat Hung HomKowloon Hong Kong Peoples R China Deakin Univ Sch Architecture & Bldg Geelong Vic Australia Hong Kong Polytech Univ Fac Construct & Environm FCE Dept Bldg & Real Estate BRE Hung HomKowloon Hong Kong Peoples R China

The present study proposes a novel hybrid methodological approach for meticulously investigating the factors causing sewer overflow (SO). The proposed framework is based on a systematic literature review, experts' in-terviews, PLS-SEM statistical technique, and system dynamic modeling. Based on a large number of data collected from experts having rich experience in developed countries, three major findings are obtained: (1) three main factors and eighteen sub-factors are the main culprit of SO occurrence, (2) under design pipe diameter, blockages, and infiltration and inflow are the most significant sub-factors within the respective clusters, and (3) physical-related sub-factors are the most influential causes of SO occurrence under a dynamic environment. The findings attained in this study offer an insightful account for the concerned environmental decision-makers on coming up with further fecund measures towards reducing the magnitude of SO, preserving our environment from the occurrence of such harmful incidents.

关键词： sewer failure sewer overflow Environmental concern Critical factors Structural equation modeling System dynamic

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Insights on the particle-attached riverine archaeal community shifts linked to seasons and to multipollution during a Mediterranean extreme storm event

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ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 2023年第17期30卷 49685-49702页

作者： Noyer, Megane Bernard, Maria Verneau, Olivier Palacios, Carmen Univ Perpignan Via Domitia Cefrem UMR5110 F-66860 Perpignan France UPVD Univ Perpignan Via Domitia CNRS UMR 5110 Ctr Format & Rech Environm Mediterraneens 52 Ave Paul Alduy F-66860 Perpignan France Univ Paris Saclay INRAE AgroParisTech GABI F-78350 Jouy En Josas France INRAE SIGENAE F-78350 Jouy En Josas France North West Univ Unit Environm Sci & Management ZA-2520 Potchefstroom South Africa

Even if Archaea deliver important ecosystem services and are major players in global biogeochemical cycles, they remain poorly understood in freshwater ecosystems. To our knowledge, no studies specifically address the direct impact of xenobiotics on the riverine archaeome. Using environmental DNA metabarcoding of the 16S ribosomal gene, we previously demonstrated bacterial communities significant shifts linked to pollutant mixtures during an extreme flood in a typical Mediterranean coastal watercourse. Here, using the same methodology, we sought to determine whether archaeal community shifts coincided with the delivery of environmental stressors during the same flood. Further, we wanted to determine how archaea taxa compared at different seasons. In contrast to the bacteriome, the archaeome showed a specific community in summer compared to winter and autumn. We also identified a significant relationship between in situ archaeome shifts and changes in physicochemical parameters along the flood, but a less marked link to those parameters correlated to river hydrodynamics than bacteria. New urban-specific archaeal taxa significantly related to multiple stressors were identified. Through statistical modeling of both domains, our results demonstrate that Archaea, seldom considered as bioindicators of water quality, have the potential to improve monitoring methods of watersheds.

关键词： Microbial ecotoxicology Water quality Extreme storm event Coastal Mediterranean rivers sewer overflow Environmental DNA Metabarcoding

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