Estimation of possible locations for green roofs and bioswales and analysis of the effect of their implementation on stormwater runoff control
IntroductionThe objectives of this study are twofold. The first is to identify potential green infrastructure construction sites by building rooftops and sidewalks. The second is to analyze internal flooding for a wide range of drainage areas and to quantitatively evaluate the effectiveness of storm...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-03-01
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| Series: | Frontiers in Climate |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fclim.2024.1287386/full |
| _version_ | 1827318393766674432 |
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| author | Tomohiro Kinoshita Taira Ozaki |
| author_facet | Tomohiro Kinoshita Taira Ozaki |
| author_sort | Tomohiro Kinoshita |
| collection | DOAJ |
| description | IntroductionThe objectives of this study are twofold. The first is to identify potential green infrastructure construction sites by building rooftops and sidewalks. The second is to analyze internal flooding for a wide range of drainage areas and to quantitatively evaluate the effectiveness of stormwater runoff control.MethodsThe target area has approximately 600 ha with a runoff coefficient of 0.71. Using Arc GIS Desktop 10.8.1, this study has identified green roofs and bioswales that would be highly beneficial in capturing large amounts of rainfall. In addition, Info Works ICM was used for the inundation analysis, which can simultaneously calculate the flow in sewer pipelines and above-ground inundation flow. Runoff coefficients were calculated for each land use using the urban land use subdivision mesh data with 100 m unit. This study targeted a 10-year probability rainfall (total rainfall: 86.3 mm, maximum hourly rainfall: 52.3 mm/h, duration: 3 h) with a middle concentrated rainfall waveform obtained from past experiments in the d4PDF database of ensemble climate prediction contributing to global warming.ResultsThe amount of land availability for green roofs and bioswales was about 1 and 0.1% of the drainage area, respectively. The runoff coefficients for green roofs only, bioswales only, with and without introduction of both green roofs and bioswales were 70.34, 70.87, 70.28, and 70.93%, respectively. The difference in runoff coefficients was about 0.65 percentage points even when both were constructed. As a result of inundation analysis, the reduction was 2.5% for the maximum waterlogged area, 1.5% for the flooded area, and 0.7% for the average depth of waterlogging divided by the maximum waterlogged area. The construction of green roofs and bioswales in the same area or downstream of the area shows little mitigation effect when flooding occurs in an area near the downstream end of the sewer network.DiscussionAlthough this study has mainly discussed the stormwater runoff control aspect, the most important feature of green infrastructure is its multifunctionality. In terms of utilizing and promoting green infrastructure, it is important to visualize its multifaceted effects and share them with many stakeholders. |
| first_indexed | 2024-04-24T23:57:09Z |
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| id | doaj.art-5d7818b8b08e4c9e9d3102413e6b222d |
| institution | Directory Open Access Journal |
| issn | 2624-9553 |
| language | English |
| last_indexed | 2024-04-24T23:57:09Z |
| publishDate | 2024-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Climate |
| spelling | doaj.art-5d7818b8b08e4c9e9d3102413e6b222d2024-03-14T11:00:25ZengFrontiers Media S.A.Frontiers in Climate2624-95532024-03-01610.3389/fclim.2024.12873861287386Estimation of possible locations for green roofs and bioswales and analysis of the effect of their implementation on stormwater runoff controlTomohiro Kinoshita0Taira Ozaki1Organization for Research and Development of Innovation Science and Technology, Kansai University, Suita, JapanDepartment of Civil, Environmental and Applied Systems Engineering, Faculty of Environmental and Urban Engineering, Kansai University, Suita, JapanIntroductionThe objectives of this study are twofold. The first is to identify potential green infrastructure construction sites by building rooftops and sidewalks. The second is to analyze internal flooding for a wide range of drainage areas and to quantitatively evaluate the effectiveness of stormwater runoff control.MethodsThe target area has approximately 600 ha with a runoff coefficient of 0.71. Using Arc GIS Desktop 10.8.1, this study has identified green roofs and bioswales that would be highly beneficial in capturing large amounts of rainfall. In addition, Info Works ICM was used for the inundation analysis, which can simultaneously calculate the flow in sewer pipelines and above-ground inundation flow. Runoff coefficients were calculated for each land use using the urban land use subdivision mesh data with 100 m unit. This study targeted a 10-year probability rainfall (total rainfall: 86.3 mm, maximum hourly rainfall: 52.3 mm/h, duration: 3 h) with a middle concentrated rainfall waveform obtained from past experiments in the d4PDF database of ensemble climate prediction contributing to global warming.ResultsThe amount of land availability for green roofs and bioswales was about 1 and 0.1% of the drainage area, respectively. The runoff coefficients for green roofs only, bioswales only, with and without introduction of both green roofs and bioswales were 70.34, 70.87, 70.28, and 70.93%, respectively. The difference in runoff coefficients was about 0.65 percentage points even when both were constructed. As a result of inundation analysis, the reduction was 2.5% for the maximum waterlogged area, 1.5% for the flooded area, and 0.7% for the average depth of waterlogging divided by the maximum waterlogged area. The construction of green roofs and bioswales in the same area or downstream of the area shows little mitigation effect when flooding occurs in an area near the downstream end of the sewer network.DiscussionAlthough this study has mainly discussed the stormwater runoff control aspect, the most important feature of green infrastructure is its multifunctionality. In terms of utilizing and promoting green infrastructure, it is important to visualize its multifaceted effects and share them with many stakeholders.https://www.frontiersin.org/articles/10.3389/fclim.2024.1287386/fullclimate changegreen roofsbioswalespluvial floodurban runoff analysis |
| spellingShingle | Tomohiro Kinoshita Taira Ozaki Estimation of possible locations for green roofs and bioswales and analysis of the effect of their implementation on stormwater runoff control Frontiers in Climate climate change green roofs bioswales pluvial flood urban runoff analysis |
| title | Estimation of possible locations for green roofs and bioswales and analysis of the effect of their implementation on stormwater runoff control |
| title_full | Estimation of possible locations for green roofs and bioswales and analysis of the effect of their implementation on stormwater runoff control |
| title_fullStr | Estimation of possible locations for green roofs and bioswales and analysis of the effect of their implementation on stormwater runoff control |
| title_full_unstemmed | Estimation of possible locations for green roofs and bioswales and analysis of the effect of their implementation on stormwater runoff control |
| title_short | Estimation of possible locations for green roofs and bioswales and analysis of the effect of their implementation on stormwater runoff control |
| title_sort | estimation of possible locations for green roofs and bioswales and analysis of the effect of their implementation on stormwater runoff control |
| topic | climate change green roofs bioswales pluvial flood urban runoff analysis |
| url | https://www.frontiersin.org/articles/10.3389/fclim.2024.1287386/full |
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