Modelling urban sewer flooding and quantitative microbial risk assessment: A critical review
Abstract Modelling urban inundation and its associated health implications is numerous in its many applications. Flood modelling research contains a broad wealth of material, and microbial risk assessment has gained more popularity over the last decade. However, there is still a relative lack of und...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-12-01
|
| Series: | Journal of Flood Risk Management |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/jfr3.12844 |
| _version_ | 1811231073006256128 |
|---|---|
| author | William Addison‐Atkinson Albert S. Chen Fayyaz A. Memon Tsang‐Jung Chang |
| author_facet | William Addison‐Atkinson Albert S. Chen Fayyaz A. Memon Tsang‐Jung Chang |
| author_sort | William Addison‐Atkinson |
| collection | DOAJ |
| description | Abstract Modelling urban inundation and its associated health implications is numerous in its many applications. Flood modelling research contains a broad wealth of material, and microbial risk assessment has gained more popularity over the last decade. However, there is still a relative lack of understanding of how the microbial risk can be quantified from urban sewer flooding. This article intends to review the literature encompassing contemporary urban flood modelling approaches. Hydrodynamic and microbial models that can be applied for quantitative microbial risk assessment will be discussed. Consequently, urban sewer flooding will be the focus. This review found that the literature contains a variety of different hazards posed by urban flooding. Yet, far fewer examples encompass microbial risk from sewer system exceedance. To date, there is no evidence of a perfect model or technique, to carry out a quantitative microbial risk assessment from hydrodynamic simulations. The literature details many different methods. We intend to detail the advantages and limitations of each method. Along similar lines, hydraulic data constitutes a large part of the uncertainty which is inherent to this research field. Many studies in the literature detail data paucity and uncertainty in input data. As such, any advancement in this discipline will very likely aid future research. |
| first_indexed | 2024-04-12T10:40:05Z |
| format | Article |
| id | doaj.art-32ae2387c7924216adea30e15515993c |
| institution | Directory Open Access Journal |
| issn | 1753-318X |
| language | English |
| last_indexed | 2024-04-12T10:40:05Z |
| publishDate | 2022-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Flood Risk Management |
| spelling | doaj.art-32ae2387c7924216adea30e15515993c2022-12-22T03:36:37ZengWileyJournal of Flood Risk Management1753-318X2022-12-01154n/an/a10.1111/jfr3.12844Modelling urban sewer flooding and quantitative microbial risk assessment: A critical reviewWilliam Addison‐Atkinson0Albert S. Chen1Fayyaz A. Memon2Tsang‐Jung Chang3Centre for Water Systems, Harrison Building University of Exeter Exeter UKCentre for Water Systems, Harrison Building University of Exeter Exeter UKCentre for Water Systems, Harrison Building University of Exeter Exeter UKDepartment of Bioenvironmental Systems Engineering National Taiwan University Taipei TaiwanAbstract Modelling urban inundation and its associated health implications is numerous in its many applications. Flood modelling research contains a broad wealth of material, and microbial risk assessment has gained more popularity over the last decade. However, there is still a relative lack of understanding of how the microbial risk can be quantified from urban sewer flooding. This article intends to review the literature encompassing contemporary urban flood modelling approaches. Hydrodynamic and microbial models that can be applied for quantitative microbial risk assessment will be discussed. Consequently, urban sewer flooding will be the focus. This review found that the literature contains a variety of different hazards posed by urban flooding. Yet, far fewer examples encompass microbial risk from sewer system exceedance. To date, there is no evidence of a perfect model or technique, to carry out a quantitative microbial risk assessment from hydrodynamic simulations. The literature details many different methods. We intend to detail the advantages and limitations of each method. Along similar lines, hydraulic data constitutes a large part of the uncertainty which is inherent to this research field. Many studies in the literature detail data paucity and uncertainty in input data. As such, any advancement in this discipline will very likely aid future research.https://doi.org/10.1111/jfr3.12844flood mitigationstorm sewerageurban drainagewater quality |
| spellingShingle | William Addison‐Atkinson Albert S. Chen Fayyaz A. Memon Tsang‐Jung Chang Modelling urban sewer flooding and quantitative microbial risk assessment: A critical review Journal of Flood Risk Management flood mitigation storm sewerage urban drainage water quality |
| title | Modelling urban sewer flooding and quantitative microbial risk assessment: A critical review |
| title_full | Modelling urban sewer flooding and quantitative microbial risk assessment: A critical review |
| title_fullStr | Modelling urban sewer flooding and quantitative microbial risk assessment: A critical review |
| title_full_unstemmed | Modelling urban sewer flooding and quantitative microbial risk assessment: A critical review |
| title_short | Modelling urban sewer flooding and quantitative microbial risk assessment: A critical review |
| title_sort | modelling urban sewer flooding and quantitative microbial risk assessment a critical review |
| topic | flood mitigation storm sewerage urban drainage water quality |
| url | https://doi.org/10.1111/jfr3.12844 |
| work_keys_str_mv | AT williamaddisonatkinson modellingurbansewerfloodingandquantitativemicrobialriskassessmentacriticalreview AT albertschen modellingurbansewerfloodingandquantitativemicrobialriskassessmentacriticalreview AT fayyazamemon modellingurbansewerfloodingandquantitativemicrobialriskassessmentacriticalreview AT tsangjungchang modellingurbansewerfloodingandquantitativemicrobialriskassessmentacriticalreview |