Community Mapping Supports Comprehensive Urban Flood Modeling for Flood Risk Management in a Data-Scarce Environment
In this paper we demonstrate a framework for urban flood modeling with community mapped data, particularly suited for flood risk management in data-scarce environments. The framework comprises three principal stages: data acquisition with survey design and quality assurance, model development and mo...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-07-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/article/10.3389/feart.2020.00304/full |
| _version_ | 1818118164824719360 |
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| author | Louise Petersson Marie-Claire ten Veldhuis Govert Verhoeven Zoran Kapelan Innocent Maholi Hessel C. Winsemius Hessel C. Winsemius |
| author_facet | Louise Petersson Marie-Claire ten Veldhuis Govert Verhoeven Zoran Kapelan Innocent Maholi Hessel C. Winsemius Hessel C. Winsemius |
| author_sort | Louise Petersson |
| collection | DOAJ |
| description | In this paper we demonstrate a framework for urban flood modeling with community mapped data, particularly suited for flood risk management in data-scarce environments. The framework comprises three principal stages: data acquisition with survey design and quality assurance, model development and model implementation for flood prediction. We demonstrate that data acquisition based on community mapping can be affordable, comprehensible, quality assured and open source, making it applicable in resource-strained contexts. The framework was demonstrated and validated on a case study in Dar es Salaam, Tanzania. The results obtained show that the community mapped data supports flood modeling on a level of detail that is currently inaccessible in many data-scarce environments. The results obtained also show that the community mapping approach is appropriate for datasets that do not require extensive training, such as flood extent surveys where it is possible to cross-validate the quality of reports given a suitable number and density of data points. More technically advanced features such as dimensions of urban drainage system elements still require trained mappers to create data of sufficient quality. This type of mapping can, however, now be performed in new contexts thanks to the development of smartphones. Future research is suggested to explore how community mapping can become an institutionalized practice to fill in important gaps in data-scarce environments. |
| first_indexed | 2024-12-11T04:49:57Z |
| format | Article |
| id | doaj.art-55a6cc6a6bc247e3ab26342caf4c61e0 |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-12-11T04:49:57Z |
| publishDate | 2020-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-55a6cc6a6bc247e3ab26342caf4c61e02022-12-22T01:20:25ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632020-07-01810.3389/feart.2020.00304540869Community Mapping Supports Comprehensive Urban Flood Modeling for Flood Risk Management in a Data-Scarce EnvironmentLouise Petersson0Marie-Claire ten Veldhuis1Govert Verhoeven2Zoran Kapelan3Innocent Maholi4Hessel C. Winsemius5Hessel C. Winsemius6Department of Water Management, Delft University of Technology, Delft, NetherlandsDepartment of Water Management, Delft University of Technology, Delft, NetherlandsInland Water Systems Unit, Deltares Research Institute, Delft, NetherlandsDepartment of Water Management, Delft University of Technology, Delft, NetherlandsHumanitarian OpenStreetMap Team, Dar es Salaam, TanzaniaDepartment of Water Management, Delft University of Technology, Delft, NetherlandsInland Water Systems Unit, Deltares Research Institute, Delft, NetherlandsIn this paper we demonstrate a framework for urban flood modeling with community mapped data, particularly suited for flood risk management in data-scarce environments. The framework comprises three principal stages: data acquisition with survey design and quality assurance, model development and model implementation for flood prediction. We demonstrate that data acquisition based on community mapping can be affordable, comprehensible, quality assured and open source, making it applicable in resource-strained contexts. The framework was demonstrated and validated on a case study in Dar es Salaam, Tanzania. The results obtained show that the community mapped data supports flood modeling on a level of detail that is currently inaccessible in many data-scarce environments. The results obtained also show that the community mapping approach is appropriate for datasets that do not require extensive training, such as flood extent surveys where it is possible to cross-validate the quality of reports given a suitable number and density of data points. More technically advanced features such as dimensions of urban drainage system elements still require trained mappers to create data of sufficient quality. This type of mapping can, however, now be performed in new contexts thanks to the development of smartphones. Future research is suggested to explore how community mapping can become an institutionalized practice to fill in important gaps in data-scarce environments.https://www.frontiersin.org/article/10.3389/feart.2020.00304/fullcommunity mappingvolunteered geographic informationflood resiliencecitizen observationsurban flood riskdrain blockage |
| spellingShingle | Louise Petersson Marie-Claire ten Veldhuis Govert Verhoeven Zoran Kapelan Innocent Maholi Hessel C. Winsemius Hessel C. Winsemius Community Mapping Supports Comprehensive Urban Flood Modeling for Flood Risk Management in a Data-Scarce Environment Frontiers in Earth Science community mapping volunteered geographic information flood resilience citizen observations urban flood risk drain blockage |
| title | Community Mapping Supports Comprehensive Urban Flood Modeling for Flood Risk Management in a Data-Scarce Environment |
| title_full | Community Mapping Supports Comprehensive Urban Flood Modeling for Flood Risk Management in a Data-Scarce Environment |
| title_fullStr | Community Mapping Supports Comprehensive Urban Flood Modeling for Flood Risk Management in a Data-Scarce Environment |
| title_full_unstemmed | Community Mapping Supports Comprehensive Urban Flood Modeling for Flood Risk Management in a Data-Scarce Environment |
| title_short | Community Mapping Supports Comprehensive Urban Flood Modeling for Flood Risk Management in a Data-Scarce Environment |
| title_sort | community mapping supports comprehensive urban flood modeling for flood risk management in a data scarce environment |
| topic | community mapping volunteered geographic information flood resilience citizen observations urban flood risk drain blockage |
| url | https://www.frontiersin.org/article/10.3389/feart.2020.00304/full |
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