A quantitative method for storm surge vulnerability assessment – a case study of Weihai city
In traditional vulnerability assessments, a synthetic index method is usually used to select all types of social and economic indexes so that more aspects can be covered; however, the requisite social and economic data are not always available or are not highly relevant to the studied geographical s...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2017-05-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17538947.2016.1229052 |
| _version_ | 1797678641507729408 |
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| author | Jin Liu Jian-Hua Gong Jian-Ming Liang Yi Li Lin-Chong Kang Li-Li Song Sui-Xiang Shi |
| author_facet | Jin Liu Jian-Hua Gong Jian-Ming Liang Yi Li Lin-Chong Kang Li-Li Song Sui-Xiang Shi |
| author_sort | Jin Liu |
| collection | DOAJ |
| description | In traditional vulnerability assessments, a synthetic index method is usually used to select all types of social and economic indexes so that more aspects can be covered; however, the requisite social and economic data are not always available or are not highly relevant to the studied geographical space, which makes it difficult to conduct quantitative calculations. In this paper, a spatial value density assessment method was developed to improve the hazard of place model. First, a three-dimensional (3D) model of a coastal city was obtained using oblique airborne photogrammetry and image-based 3D reconstruction and then, architecture footprints were employed to extract the geometric information of each individual building. Additionally, a vulnerability assessment system was established to quantitatively account for the aggregate economic value of a selected set of urban surface features. Using geographic information system (GIS) techniques, the aggregate value of these urban features within each geographic unit can be accurately calculated to quantify the exposure and vulnerability of coastal cities to storm surge. A vulnerability assessment was conducted using Weihai city as an example. The study shows that vulnerability assessment accuracy was greatly improved by downscaling the assessment granularity from county-level administrative districts to a 1-km grid. |
| first_indexed | 2024-03-11T23:02:53Z |
| format | Article |
| id | doaj.art-b06b964f16e94edfbadfd7f3aaf7efb9 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-11T23:02:53Z |
| publishDate | 2017-05-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-b06b964f16e94edfbadfd7f3aaf7efb92023-09-21T14:38:05ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552017-05-0110553955910.1080/17538947.2016.12290521229052A quantitative method for storm surge vulnerability assessment – a case study of Weihai cityJin Liu0Jian-Hua Gong1Jian-Ming Liang2Yi Li3Lin-Chong Kang4Li-Li Song5Sui-Xiang Shi6Institute of Remote Sensing and Digital Earth, Chinese Academy of SciencesInstitute of Remote Sensing and Digital Earth, Chinese Academy of SciencesInstitute of Remote Sensing and Digital Earth, Chinese Academy of SciencesInstitute of Remote Sensing and Digital Earth, Chinese Academy of SciencesNational Marine Data and Information ServiceNational Marine Data and Information ServiceNational Marine Data and Information ServiceIn traditional vulnerability assessments, a synthetic index method is usually used to select all types of social and economic indexes so that more aspects can be covered; however, the requisite social and economic data are not always available or are not highly relevant to the studied geographical space, which makes it difficult to conduct quantitative calculations. In this paper, a spatial value density assessment method was developed to improve the hazard of place model. First, a three-dimensional (3D) model of a coastal city was obtained using oblique airborne photogrammetry and image-based 3D reconstruction and then, architecture footprints were employed to extract the geometric information of each individual building. Additionally, a vulnerability assessment system was established to quantitatively account for the aggregate economic value of a selected set of urban surface features. Using geographic information system (GIS) techniques, the aggregate value of these urban features within each geographic unit can be accurately calculated to quantify the exposure and vulnerability of coastal cities to storm surge. A vulnerability assessment was conducted using Weihai city as an example. The study shows that vulnerability assessment accuracy was greatly improved by downscaling the assessment granularity from county-level administrative districts to a 1-km grid.http://dx.doi.org/10.1080/17538947.2016.1229052storm surgevulnerability assessmentoblique photogrammetry3d-gisweihai city |
| spellingShingle | Jin Liu Jian-Hua Gong Jian-Ming Liang Yi Li Lin-Chong Kang Li-Li Song Sui-Xiang Shi A quantitative method for storm surge vulnerability assessment – a case study of Weihai city International Journal of Digital Earth storm surge vulnerability assessment oblique photogrammetry 3d-gis weihai city |
| title | A quantitative method for storm surge vulnerability assessment – a case study of Weihai city |
| title_full | A quantitative method for storm surge vulnerability assessment – a case study of Weihai city |
| title_fullStr | A quantitative method for storm surge vulnerability assessment – a case study of Weihai city |
| title_full_unstemmed | A quantitative method for storm surge vulnerability assessment – a case study of Weihai city |
| title_short | A quantitative method for storm surge vulnerability assessment – a case study of Weihai city |
| title_sort | quantitative method for storm surge vulnerability assessment a case study of weihai city |
| topic | storm surge vulnerability assessment oblique photogrammetry 3d-gis weihai city |
| url | http://dx.doi.org/10.1080/17538947.2016.1229052 |
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