Evolutionary and Holistic Assessment of Green-Grey Infrastructure for CSO Reduction
Recent research suggests future alterations in rainfall patterns due to climate variability, affecting public safety and health in urban areas. Urban growth, one of the main drivers of change in the current century, will also affect these conditions. Traditional drainage approaches using grey infras...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-09-01
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| Series: | Water |
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| Online Access: | http://www.mdpi.com/2073-4441/8/9/402 |
| _version_ | 1811263007083200512 |
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| author | Alida Alves Arlex Sanchez Zoran Vojinovic Solomon Seyoum Mukand Babel Damir Brdjanovic |
| author_facet | Alida Alves Arlex Sanchez Zoran Vojinovic Solomon Seyoum Mukand Babel Damir Brdjanovic |
| author_sort | Alida Alves |
| collection | DOAJ |
| description | Recent research suggests future alterations in rainfall patterns due to climate variability, affecting public safety and health in urban areas. Urban growth, one of the main drivers of change in the current century, will also affect these conditions. Traditional drainage approaches using grey infrastructure offer low adaptation to an uncertain future. New methodologies of stormwater management focus on decentralized approaches in a long-term planning framework, including the use of Green Infrastructure (GI). This work presents a novel methodology to select, evaluate, and place different green-grey practices (or measures) for retrofitting urban drainage systems. The methodology uses a hydrodynamic model and multi-objective optimization to design solutions at a watershed level. The method proposed in this study was applied in a highly urbanized watershed to evaluate the effect of these measures on Combined Sewer Overflows (CSO) quantity. This approach produced promising results and may become a useful tool for planning and decision making of drainage systems. |
| first_indexed | 2024-04-12T19:37:08Z |
| format | Article |
| id | doaj.art-0a53a4845bce40cd85f1842985f523c1 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-04-12T19:37:08Z |
| publishDate | 2016-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-0a53a4845bce40cd85f1842985f523c12022-12-22T03:19:10ZengMDPI AGWater2073-44412016-09-018940210.3390/w8090402w8090402Evolutionary and Holistic Assessment of Green-Grey Infrastructure for CSO ReductionAlida Alves0Arlex Sanchez1Zoran Vojinovic2Solomon Seyoum3Mukand Babel4Damir Brdjanovic5Environmental Engineering and Water Technology Department, UNESCO-IHE, Westvest 7, 2611 AX Delft, The NetherlandsEnvironmental Engineering and Water Technology Department, UNESCO-IHE, Westvest 7, 2611 AX Delft, The NetherlandsEnvironmental Engineering and Water Technology Department, UNESCO-IHE, Westvest 7, 2611 AX Delft, The NetherlandsHydroinformatics and Knowledge Management Department, UNESCO-IHE, Westvest 7, 2611 AX Delft, The NetherlandsSchool of Engineering and Technology, AIT Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani 12120, ThailandEnvironmental Engineering and Water Technology Department, UNESCO-IHE, Westvest 7, 2611 AX Delft, The NetherlandsRecent research suggests future alterations in rainfall patterns due to climate variability, affecting public safety and health in urban areas. Urban growth, one of the main drivers of change in the current century, will also affect these conditions. Traditional drainage approaches using grey infrastructure offer low adaptation to an uncertain future. New methodologies of stormwater management focus on decentralized approaches in a long-term planning framework, including the use of Green Infrastructure (GI). This work presents a novel methodology to select, evaluate, and place different green-grey practices (or measures) for retrofitting urban drainage systems. The methodology uses a hydrodynamic model and multi-objective optimization to design solutions at a watershed level. The method proposed in this study was applied in a highly urbanized watershed to evaluate the effect of these measures on Combined Sewer Overflows (CSO) quantity. This approach produced promising results and may become a useful tool for planning and decision making of drainage systems.http://www.mdpi.com/2073-4441/8/9/402urban drainagegreen-grey infrastructurehydrodynamic modelsmulti-objective optimization |
| spellingShingle | Alida Alves Arlex Sanchez Zoran Vojinovic Solomon Seyoum Mukand Babel Damir Brdjanovic Evolutionary and Holistic Assessment of Green-Grey Infrastructure for CSO Reduction Water urban drainage green-grey infrastructure hydrodynamic models multi-objective optimization |
| title | Evolutionary and Holistic Assessment of Green-Grey Infrastructure for CSO Reduction |
| title_full | Evolutionary and Holistic Assessment of Green-Grey Infrastructure for CSO Reduction |
| title_fullStr | Evolutionary and Holistic Assessment of Green-Grey Infrastructure for CSO Reduction |
| title_full_unstemmed | Evolutionary and Holistic Assessment of Green-Grey Infrastructure for CSO Reduction |
| title_short | Evolutionary and Holistic Assessment of Green-Grey Infrastructure for CSO Reduction |
| title_sort | evolutionary and holistic assessment of green grey infrastructure for cso reduction |
| topic | urban drainage green-grey infrastructure hydrodynamic models multi-objective optimization |
| url | http://www.mdpi.com/2073-4441/8/9/402 |
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