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- Publisher Website: 10.3390/w9080619
- Scopus: eid_2-s2.0-85027555548
- WOS: WOS:000408729200063
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Article: Measuring recovery to build up metrics of flood resilience based on pollutant discharge data: A case study in East China
Title | Measuring recovery to build up metrics of flood resilience based on pollutant discharge data: A case study in East China |
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Authors | |
Keywords | Disaster resilience East China Pollutant discharge data Recovery capability Resilience measurement |
Issue Date | 2017 |
Citation | Water (Switzerland), 2017, v. 9, n. 8, article no. 619 How to Cite? |
Abstract | Building "disaster-resilient" rather than "disaster-resistant" cities/communities requires the development of response capabilities to natural disasters and subsequent recovery. This study devises a new method to measure resilience via recovery capability to validate indicators from social, economic, infrastructural, and environmental domains. The pollutant discharge data (wastewater and waste-gas discharge/emission data) of local power plants, sewage treatment plants and main factories were used to monitor recovery process of both people's living and local industrial production as the waste water/gas is released irregularly during the short disaster-hit period. A time series analysis of such data was employed to detect the disturbance on these infrastructures from disasters and to assess community recovery capability. A recent record-breaking flash flood in Changzhou, a city in eastern-central China, was selected as a case study. We used ordinal logistic regression to identify leading proxies of flood resilience. A combination of six variables related to socioeconomic factors, infrastructure development and the environment, stood out and explained 61.4% of the variance in measured recovery capability. These findings substantiate the possibility of using recovery measurement based on pollutant discharge to validate resilience metrics, and contribute more solid evidences for policy-makers and urban planners to make corresponding measures for resilience enhancement. |
Persistent Identifier | http://hdl.handle.net/10722/329457 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Song, Jinglu | - |
dc.contributor.author | Huang, Bo | - |
dc.contributor.author | Li, Rongrong | - |
dc.date.accessioned | 2023-08-09T03:32:55Z | - |
dc.date.available | 2023-08-09T03:32:55Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Water (Switzerland), 2017, v. 9, n. 8, article no. 619 | - |
dc.identifier.uri | http://hdl.handle.net/10722/329457 | - |
dc.description.abstract | Building "disaster-resilient" rather than "disaster-resistant" cities/communities requires the development of response capabilities to natural disasters and subsequent recovery. This study devises a new method to measure resilience via recovery capability to validate indicators from social, economic, infrastructural, and environmental domains. The pollutant discharge data (wastewater and waste-gas discharge/emission data) of local power plants, sewage treatment plants and main factories were used to monitor recovery process of both people's living and local industrial production as the waste water/gas is released irregularly during the short disaster-hit period. A time series analysis of such data was employed to detect the disturbance on these infrastructures from disasters and to assess community recovery capability. A recent record-breaking flash flood in Changzhou, a city in eastern-central China, was selected as a case study. We used ordinal logistic regression to identify leading proxies of flood resilience. A combination of six variables related to socioeconomic factors, infrastructure development and the environment, stood out and explained 61.4% of the variance in measured recovery capability. These findings substantiate the possibility of using recovery measurement based on pollutant discharge to validate resilience metrics, and contribute more solid evidences for policy-makers and urban planners to make corresponding measures for resilience enhancement. | - |
dc.language | eng | - |
dc.relation.ispartof | Water (Switzerland) | - |
dc.subject | Disaster resilience | - |
dc.subject | East China | - |
dc.subject | Pollutant discharge data | - |
dc.subject | Recovery capability | - |
dc.subject | Resilience measurement | - |
dc.title | Measuring recovery to build up metrics of flood resilience based on pollutant discharge data: A case study in East China | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.3390/w9080619 | - |
dc.identifier.scopus | eid_2-s2.0-85027555548 | - |
dc.identifier.volume | 9 | - |
dc.identifier.issue | 8 | - |
dc.identifier.spage | article no. 619 | - |
dc.identifier.epage | article no. 619 | - |
dc.identifier.eissn | 2073-4441 | - |
dc.identifier.isi | WOS:000408729200063 | - |