A Quantitative Flood-Related Building Damage Evaluation Method Using Airborne LiDAR Data and 2-D Hydraulic Model
The evaluation of building damage is of great significance for flood management. Chinese floodplains usually contain small- and medium-sized towns with many other scattered buildings. Detailed building information is usually scarce, making it difficult to evaluate flood damage. We developed an evalu...
Gespeichert in:
| Veröffentlicht in: | Water (Basel) 2019-05, Vol.11 (5), p.987 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 5 |
| container_start_page | 987 |
| container_title | Water (Basel) |
| container_volume | 11 |
| creator | Shen, Dingtao Qian, Tianlu Chen, Wenlong Chi, Yao Wang, Jiechen |
| description | The evaluation of building damage is of great significance for flood management. Chinese floodplains usually contain small- and medium-sized towns with many other scattered buildings. Detailed building information is usually scarce, making it difficult to evaluate flood damage. We developed an evaluation method for building damage by using airborne LiDAR data to obtain large-area, high-precision building information and digital elevation models (DEMs) for potentially affected areas. These data were then used to develop a two-dimensional (2-D) flood routing model. Next, flood loss rate curves were generated by fitting historical damage data to allow rapid evaluation of single-building losses. Finally, we conducted an empirical study based on the Gongshuangcha detention basin in China’s Dongting Lake region. The results showed that the use of airborne LiDAR data for flood-related building damage evaluation can improve the assessment accuracy and efficiency; this approach is especially suitable for rural areas where building information is scarce. |
| doi_str_mv | 10.3390/w11050987 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2550464269</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2550464269</sourcerecordid><originalsourceid>FETCH-LOGICAL-c292t-c9379a2b42ef78b7d6ff325f0e616d9f5bcbe67c6dc840f7e69e5c6ac22b4b463</originalsourceid><addsrcrecordid>eNpNkF9LwzAUxYMoOOYe_AYBn3yopmmaNo91f5ywIQ73XNLkZmZ0zUzTjX17OybifbkXzu-eAweh-5g8JYkgz8c4JikReXaFBpRkScQYi6__3bdo1LZb0g8TeZ6SAdoX-KOTTbBBBnsAPKud09EKahlA45fO1to2GzyRO7kBPD3IuutB1-AlhC-n8bo9y4X1lfMN4IWdFKueDhLLRmMaTfD8pL3saqvw0mmo79CNkXULo989ROvZ9HM8jxbvr2_jYhEpKmiIlEgyIWnFKJgsrzLNjUloagjwmGth0kpVwDPFtcoZMRlwAaniUtH-p2I8GaKHi-_eu-8O2lBuXeebPrKkaUoYZ5SLnnq8UMq7tvVgyr23O-lPZUzKc6flX6fJD93LaBQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2550464269</pqid></control><display><type>article</type><title>A Quantitative Flood-Related Building Damage Evaluation Method Using Airborne LiDAR Data and 2-D Hydraulic Model</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Shen, Dingtao ; Qian, Tianlu ; Chen, Wenlong ; Chi, Yao ; Wang, Jiechen</creator><creatorcontrib>Shen, Dingtao ; Qian, Tianlu ; Chen, Wenlong ; Chi, Yao ; Wang, Jiechen</creatorcontrib><description>The evaluation of building damage is of great significance for flood management. Chinese floodplains usually contain small- and medium-sized towns with many other scattered buildings. Detailed building information is usually scarce, making it difficult to evaluate flood damage. We developed an evaluation method for building damage by using airborne LiDAR data to obtain large-area, high-precision building information and digital elevation models (DEMs) for potentially affected areas. These data were then used to develop a two-dimensional (2-D) flood routing model. Next, flood loss rate curves were generated by fitting historical damage data to allow rapid evaluation of single-building losses. Finally, we conducted an empirical study based on the Gongshuangcha detention basin in China’s Dongting Lake region. The results showed that the use of airborne LiDAR data for flood-related building damage evaluation can improve the assessment accuracy and efficiency; this approach is especially suitable for rural areas where building information is scarce.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w11050987</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Buildings ; Damage assessment ; Detention basins ; Digital Elevation Models ; Evaluation ; Finite volume method ; Flood control ; Flood damage ; Flood management ; Flood plain management ; Flood routing ; Floodplains ; Floods ; Hydraulic models ; Hydrologic data ; Lasers ; Rivers ; Rural areas ; Simulation ; Two dimensional models</subject><ispartof>Water (Basel), 2019-05, Vol.11 (5), p.987</ispartof><rights>2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c292t-c9379a2b42ef78b7d6ff325f0e616d9f5bcbe67c6dc840f7e69e5c6ac22b4b463</citedby><cites>FETCH-LOGICAL-c292t-c9379a2b42ef78b7d6ff325f0e616d9f5bcbe67c6dc840f7e69e5c6ac22b4b463</cites><orcidid>0000-0002-9018-3597</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Shen, Dingtao</creatorcontrib><creatorcontrib>Qian, Tianlu</creatorcontrib><creatorcontrib>Chen, Wenlong</creatorcontrib><creatorcontrib>Chi, Yao</creatorcontrib><creatorcontrib>Wang, Jiechen</creatorcontrib><title>A Quantitative Flood-Related Building Damage Evaluation Method Using Airborne LiDAR Data and 2-D Hydraulic Model</title><title>Water (Basel)</title><description>The evaluation of building damage is of great significance for flood management. Chinese floodplains usually contain small- and medium-sized towns with many other scattered buildings. Detailed building information is usually scarce, making it difficult to evaluate flood damage. We developed an evaluation method for building damage by using airborne LiDAR data to obtain large-area, high-precision building information and digital elevation models (DEMs) for potentially affected areas. These data were then used to develop a two-dimensional (2-D) flood routing model. Next, flood loss rate curves were generated by fitting historical damage data to allow rapid evaluation of single-building losses. Finally, we conducted an empirical study based on the Gongshuangcha detention basin in China’s Dongting Lake region. The results showed that the use of airborne LiDAR data for flood-related building damage evaluation can improve the assessment accuracy and efficiency; this approach is especially suitable for rural areas where building information is scarce.</description><subject>Buildings</subject><subject>Damage assessment</subject><subject>Detention basins</subject><subject>Digital Elevation Models</subject><subject>Evaluation</subject><subject>Finite volume method</subject><subject>Flood control</subject><subject>Flood damage</subject><subject>Flood management</subject><subject>Flood plain management</subject><subject>Flood routing</subject><subject>Floodplains</subject><subject>Floods</subject><subject>Hydraulic models</subject><subject>Hydrologic data</subject><subject>Lasers</subject><subject>Rivers</subject><subject>Rural areas</subject><subject>Simulation</subject><subject>Two dimensional models</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNkF9LwzAUxYMoOOYe_AYBn3yopmmaNo91f5ywIQ73XNLkZmZ0zUzTjX17OybifbkXzu-eAweh-5g8JYkgz8c4JikReXaFBpRkScQYi6__3bdo1LZb0g8TeZ6SAdoX-KOTTbBBBnsAPKud09EKahlA45fO1to2GzyRO7kBPD3IuutB1-AlhC-n8bo9y4X1lfMN4IWdFKueDhLLRmMaTfD8pL3saqvw0mmo79CNkXULo989ROvZ9HM8jxbvr2_jYhEpKmiIlEgyIWnFKJgsrzLNjUloagjwmGth0kpVwDPFtcoZMRlwAaniUtH-p2I8GaKHi-_eu-8O2lBuXeebPrKkaUoYZ5SLnnq8UMq7tvVgyr23O-lPZUzKc6flX6fJD93LaBQ</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Shen, Dingtao</creator><creator>Qian, Tianlu</creator><creator>Chen, Wenlong</creator><creator>Chi, Yao</creator><creator>Wang, Jiechen</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-9018-3597</orcidid></search><sort><creationdate>20190501</creationdate><title>A Quantitative Flood-Related Building Damage Evaluation Method Using Airborne LiDAR Data and 2-D Hydraulic Model</title><author>Shen, Dingtao ; Qian, Tianlu ; Chen, Wenlong ; Chi, Yao ; Wang, Jiechen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c292t-c9379a2b42ef78b7d6ff325f0e616d9f5bcbe67c6dc840f7e69e5c6ac22b4b463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Buildings</topic><topic>Damage assessment</topic><topic>Detention basins</topic><topic>Digital Elevation Models</topic><topic>Evaluation</topic><topic>Finite volume method</topic><topic>Flood control</topic><topic>Flood damage</topic><topic>Flood management</topic><topic>Flood plain management</topic><topic>Flood routing</topic><topic>Floodplains</topic><topic>Floods</topic><topic>Hydraulic models</topic><topic>Hydrologic data</topic><topic>Lasers</topic><topic>Rivers</topic><topic>Rural areas</topic><topic>Simulation</topic><topic>Two dimensional models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shen, Dingtao</creatorcontrib><creatorcontrib>Qian, Tianlu</creatorcontrib><creatorcontrib>Chen, Wenlong</creatorcontrib><creatorcontrib>Chi, Yao</creatorcontrib><creatorcontrib>Wang, Jiechen</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Water (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shen, Dingtao</au><au>Qian, Tianlu</au><au>Chen, Wenlong</au><au>Chi, Yao</au><au>Wang, Jiechen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Quantitative Flood-Related Building Damage Evaluation Method Using Airborne LiDAR Data and 2-D Hydraulic Model</atitle><jtitle>Water (Basel)</jtitle><date>2019-05-01</date><risdate>2019</risdate><volume>11</volume><issue>5</issue><spage>987</spage><pages>987-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>The evaluation of building damage is of great significance for flood management. Chinese floodplains usually contain small- and medium-sized towns with many other scattered buildings. Detailed building information is usually scarce, making it difficult to evaluate flood damage. We developed an evaluation method for building damage by using airborne LiDAR data to obtain large-area, high-precision building information and digital elevation models (DEMs) for potentially affected areas. These data were then used to develop a two-dimensional (2-D) flood routing model. Next, flood loss rate curves were generated by fitting historical damage data to allow rapid evaluation of single-building losses. Finally, we conducted an empirical study based on the Gongshuangcha detention basin in China’s Dongting Lake region. The results showed that the use of airborne LiDAR data for flood-related building damage evaluation can improve the assessment accuracy and efficiency; this approach is especially suitable for rural areas where building information is scarce.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w11050987</doi><orcidid>https://orcid.org/0000-0002-9018-3597</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2073-4441 |
| ispartof | Water (Basel), 2019-05, Vol.11 (5), p.987 |
| issn | 2073-4441 2073-4441 |
| language | eng |
| recordid | cdi_proquest_journals_2550464269 |
| source | MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Buildings Damage assessment Detention basins Digital Elevation Models Evaluation Finite volume method Flood control Flood damage Flood management Flood plain management Flood routing Floodplains Floods Hydraulic models Hydrologic data Lasers Rivers Rural areas Simulation Two dimensional models |
| title | A Quantitative Flood-Related Building Damage Evaluation Method Using Airborne LiDAR Data and 2-D Hydraulic Model |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T11%3A03%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Quantitative%20Flood-Related%20Building%20Damage%20Evaluation%20Method%20Using%20Airborne%20LiDAR%20Data%20and%202-D%20Hydraulic%20Model&rft.jtitle=Water%20(Basel)&rft.au=Shen,%20Dingtao&rft.date=2019-05-01&rft.volume=11&rft.issue=5&rft.spage=987&rft.pages=987-&rft.issn=2073-4441&rft.eissn=2073-4441&rft_id=info:doi/10.3390/w11050987&rft_dat=%3Cproquest_cross%3E2550464269%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2550464269&rft_id=info:pmid/&rfr_iscdi=true |