Measuring County Resilience After the 2008 Wenchuan Earthquake

Xiaolu Li , Nina Lam , Yi Qiang , Kenan Li , Lirong Yin , Shan Liu , Wenfeng Zheng

International Journal of Disaster Risk Science ›› 2016, Vol. 7 ›› Issue (4) : 393 -412.

PDF
International Journal of Disaster Risk Science ›› 2016, Vol. 7 ›› Issue (4) : 393 -412. DOI: 10.1007/s13753-016-0109-2
Article

Measuring County Resilience After the 2008 Wenchuan Earthquake

Author information +
History +
PDF

Abstract

The catastrophic earthquake that struck Sichuan Province, China, in 2008 caused serious damage to Wenchuan County and surrounding areas in southwestern China. In recent years, great attention has been paid to the resilience of the affected area. This study applied the resilience inference measurement (RIM) model to quantify and validate the community resilience of 105 counties in the impacted area. The RIM model uses cluster analysis to classify counties into four resilience levels according to the exposure, damage, and recovery conditions. The model then applies discriminant analysis to quantify the influence of socioeconomic characteristics on the county’s resilience. Analysis results show that counties located at the epicenter had the lowest resilience, but counties immediately adjacent to the epicenter had the highest resilience capacities. Counties that were farther away from the epicenter returned to normal resiliency quickly. Socioeconomic variables—including sex ratio, per capita GDP, percent of ethnic minority, and medical facilities—were identified as the most influential characteristics influencing resilience. This study provides useful information to improve county resilience to earthquakes and support decision making for sustainable development.

Keywords

China / Resilience / Resilience inference measurement (RIM) model / Vulnerability / Wenchuan earthquake

Cite this article

Download citation ▾
Xiaolu Li, Nina Lam, Yi Qiang, Kenan Li, Lirong Yin, Shan Liu, Wenfeng Zheng. Measuring County Resilience After the 2008 Wenchuan Earthquake. International Journal of Disaster Risk Science, 2016, 7(4): 393-412 DOI:10.1007/s13753-016-0109-2

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Adger WN, Brown K, Conway D. Progress in global environmental change. Global Environmental Change, 2010, 20(4): 547-549

[2]

Bevington, J.S., A.A. Hill, R.A. Davidson, S.E. Chang, A. Vicini, B.J. Adams, and R.T. Eguchi. 2011. Measuring, monitoring, and evaluating post-disaster recovery: A key element in understanding community resilience. In Proceedings of ASCE Structures Congress 2011, ed. D. Ames, T.L. Droessler, and M. Hoit, 2033–2043. Reston, VA: American Society of Civil Engineers.

[3]

Boruff BJ, Emrich C, Cutter SL. Erosion hazard vulnerability of US coastal counties. Journal of Coastal Research, 2005, 21(5): 932-942

[4]

Brooks N, Adger WN, Kelly PM. The determinants of vulnerability and adaptive capacity at the national level and the implications for adaptation. Global Environmental Change, 2005, 15(2): 151-163

[5]

Bruneau M, Chang SE, Eguchi RT, Lee GC, O’Rourke TD, Reinhorn AM, Shinozuka M, Tierney K, Wallace WA, von Winterfeldt D. A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake Spectra, 2003, 19(4): 733-752

[6]

Bruneau, M., and A.M. Reinhorn. Overview of the resilience concept. In Proceedings of the 8th U. S. National Conference on Earthquake Engineering, 18–22 April, 2006, San Francisco, California, USA.

[7]

Cao Z, Youd TL, Yuan X. Gravelly soils that liquefied during 2008 Wenchuan, China Earthquake, Ms = 8.0. Soil Dynamics and Earthquake Engineering, 2011, 31(8): 1132-1143

[8]

CEA (China Earthquake Administration). 2008. Seismic intensity map of the Ms 8.0 Wenchuan Earthquake. http://www.cea.gov.cn/manage/html/8a8587881632fa5c0116674a018300cf/content/08_09/01/1220238314350.html. Accessed 27 May 2015.

[9]

Chang SE. Urban disaster recovery: A measurement framework and its application to the 1995 Kobe earthquake. Disasters, 2010, 34(2): 303-327

[10]

Chang SE, Shinozuka M. Measuring improvements in the disaster resilience of communities. Earthquake Spectra, 2004, 20(3): 739-755

[11]

Chen G, Ji F, Zhou R, Xu J, Zhou B, Li X, Ye Y. Primary research of activity segmentation of Longmenshan fault zone since late-quaternary. Seismology and Geology, 2007, 29(3): 657-673 (in Chinese)

[12]

Cho S, Gordon P, Moore JEI, Richardson HW, Shinozuka M, Chang S. Integrating transportation network and regional economic models to estimate the costs of a large urban earthquake. Journal of Regional Science, 2001, 41(1): 39-65

[13]

Cutter SL, Ash KD, Emrich CT. The geographies of community disaster resilience. Global Environmental Change, 2014, 29: 65-77

[14]

Cutter SL, Barnes L, Berry M, Burton C, Evans E, Tate E, Webb J. A place-based model for understanding community resilience to natural disasters. Global Environmental Change, 2008, 18(4): 598-606

[15]

Cutter SL, Boruff BJ, Shirley WL. Social vulnerability to environmental hazards. Social Science Quarterly, 2003, 84(2): 242-261

[16]

Cutter SL, Burton CG, Emrich CT. Disaster resilience indicators for benchmarking baseline conditions. Journal of Homeland Security and Emergency Management, 2010, 7(1): 1271-1283

[17]

Dai FC, Xu C, Yao X, Xu L, Tu XB, Gong QM. Spatial distribution of landslides triggered by the 2008 Ms 8.0 Wenchuan earthquake, China. Journal of Asian Earth Sciences, 2011, 40(4): 883-895

[18]

Eiby GA. The Modified Mercalli scale of earthquake intensity and its use in new Zealand. New Zealand Journal of Geology and Geophysics, 1966, 9(1–2): 122-129

[19]

Fekete A. Validation of a social vulnerability index in context to river-floods in Germany. Natural Hazards and Earth System Sciences, 2009, 9(2): 393-403

[20]

Finch C, Emrich CT, Cutter SL. Disaster disparities and differential recovery in New Orleans. Population and Environment, 2010, 31(4): 179-202

[21]

Folk, C., S. Carpenter, T. Elmqvist, L. Gunderson, C.S. Holling, B. Walker, J. Bengtsson, K. Berkes, J. Colding, K. Danell, and M. Falkenmark. 2002. Resilience and development: Building adaptive capacity in a world of transformations. ICSU series on science for sustainable development: Resilience and sustainable development. Stockholm: International Council for Science.

[22]

Fu B, Shi P, Guo H, Okuyama S, Ninomiya Y, Wright S. Surface deformation related to the 2008 Wenchuan earthquake, and mountain building of the Longmen Shan, Eastern Tibetan Plateau. Journal of Asian Earth Sciences, 2011, 40(4): 805-824

[23]

Gansu Provincial Bureau of Statistics Gansu statistical yearbook, 2003, Beijing: China Statistics Press

[24]

Gansu Provincial Bureau of Statistics Gansu statistical yearbook, 2009, Beijing: China Statistics Press

[25]

Gansu Provincial Bureau of Statistics Gansu statistical yearbook, 2012, Beijing: China Statistics Press

[26]

Gorum T, Fan X, van Westen CJ, Huang RQ, Xu Q, Tang C, Wang G. Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008 Wenchuan earthquake. Geomorphology, 2011, 133(3–4): 152-167

[27]

Guha-Sapir, D., R. Below, Ph. Hoyois. 2015. EM-DAT: The Centre for Research on the Epidemiology of Disasters/Office of U.S. Foreign Disaster Assistance (CRED/OFDA) International Disaster Database. Université Catholique de Louvain, Brussels, Belgium. http://www.emdat.be. Accessed 27 May 2015.

[28]

Guo Y. Urban resilience in post-disaster reconstruction: Towards a resilient development in Sichuan, China. International Journal of Disaster Risk Science, 2012, 3(1): 45-55

[29]

Guo D, Hamada M. Qualitative and quantitative analysis on landslide influential factors during Wenchuan earthquake: A case study in Wenchuan County. Engineering Geology, 2013, 152(1): 202-209

[30]

Hartigan JA, Wong MA. A K-means clustering algorithm. Journal of the Royal Statistical Society. Series C (Applied Statistics), 1979, 28(1): 100-108.

[31]

Holling CS. Schulze PC. Engineering resilience versus ecological resilience. Engineering within ecological constraints, 1996, Washington, DC: National Academy Press 31-44.

[32]

Klecka, W.R. 1980. Discriminant analysis. Quantitative applications in the social sciences series. Thousand Oaks, CA: Sage Publications.

[33]

Lam NSN, Arenas H, Brito PL, Liu KB. Assessment of vulnerability and adaptive capacity to coastal hazards in the Caribbean Region. Journal of Coastal Research, 2014, 70(sp1): 473-478

[34]

Lam NSN, Arenas H, Pace K, LeSage J, Campanella R. Predictors of business return in New Orleans after Hurricane Katrina. PLoS ONE, 2012, 7(10): e47935

[35]

Lam NSN, Pace K, Campanella R, Lesage J, Arenas H. Business return in New Orleans: Decision making amid post-Katrina uncertainty. PLoS ONE, 2009, 4(8): e6765

[36]

Lam NSN, Qiang Y, Arenas H, Brito P, Liu KB. Mapping and assessing coastal resilience in the Caribbean Region. Cartography and Geographic Information Science, 2015, 42(4): 315-322

[37]

Lam NSN, Reams M, Li K, Li C, Mata LP. Measuring community resilience to coastal hazards along the Northern Gulf of Mexico. Natural Hazards Review, 2015, 17(1): 04015013

[38]

Li K. Temporal changes of coastal community resilience in the Gulf of Mexico Region, 2011, Baton Rouge, Louisiana: Louisiana State University

[39]

Li C. Community resilience to coastal hazards: An analysis of two geographical scales in Louisiana, 2013, Baton Rouge, Louisiana: Louisiana State University

[40]

Li W, Airriess CA, Chen AC-C, Leong KJ, Keith V. Katrina and migration: Evacuation and return by African Americans and Vietnamese Americans in an Eastern New Orleans suburb. The Professional Geographer, 2010, 62(1): 103-118

[41]

Li K, Lam NSN, Qiang Y, Zou L, Cai H. A cyberinfrastructure for community resilience assessment and visualization. Cartographic and Geographic Information Science, 2005, 42(sup1): 34-39

[42]

Li X, Wang L, Liu S. Geographical analysis of seismic hazard resilience in Southwest China. International Journal of Disaster Risk Science, 2016, 7(3): 257-276

[43]

Li H, Wang H, Xu Z, Si J, Pei J, Li T, Huang Y, Song S, Kuo L, Sun Z, Chevalier M-L, Liu D. Characteristics of the fault-related rocks, fault zones and the principal slip zone in the Wenchuan Earthquake Fault Scientific Drilling Project Hole-1 (WFSD-1). Tectonophysics, 2013, 584(22 January): 23-42

[44]

Nalbant SS, McCloskey J. Stress evolution before and after the 2008 Wenchuan, China earthquake. Earth and Planetary Science Letters, 2011, 307(1): 222-232

[45]

National Bureau of Statistics of the People’s Republic of China Tabulation of the 2000 population census of the People’s Republic of China, 2001, Beijing: China Statistics Press

[46]

Nelson E, Mendoza G, Regetz J, Polasky S, Tallis H, Cameron D, Chan KMA, Daily GC, Goldstein J, Kareiva PM, Lonsdorf E, Naidoo R, Ricketts TH, Shaw M. Modelling multiple ecosystem services, biodiversity conservation, commodity production, and tradeoffs at landscape scales. Frontiers in Ecology and the Environment, 2009, 7(1): 4-11

[47]

NOAA (U.S. National Oceanographic and Atmospheric Administration). National Climate Data Center database. 2015. https://www.ncdc.noaa.gov/data-access. Accessed 27 May 2015.

[48]

Norris FH, Stevens SP, Pfefferbaum B, Wyche KF, Pfefferbaum RL. Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness. American Journal of Community Psychology, 2008, 41(1–2): 127-150

[49]

NRC (National Research Council) Disaster resilience: A national imperative, 2012, Washington, DC: The National Academies Press

[50]

Peduzzi P, Dao H, Herold C, Mouton F. Assessing global exposure and vulnerability towards natural hazards: The disaster risk index. Natural Hazards and Earth Systems Science, 2009, 9(4): 1149-1159

[51]

Perreault WD Jr Behrman DN, Armstrong GM. Alternative approaches for interpretation of multiple discriminant analysis in marketing research. Journal of Business Research, 1979, 7(2): 151-173

[52]

Ran Y, Chen W, Xu X, Chen L, Wang H, Yang C-C, Dong S. Paleoseismic events and recurrence interval along the Beichuan-Yingxiu fault of Longmenshan fault zone, Yingxiu, Sichuan, China. Tectonophysics, 2013, 584: 81-90

[53]

Reams MA, Lam NSN, Baker A. Measuring capacity for resilience among coastal counties of the U.S. Northern Gulf of Mexico Region. American Journal of Climate Change, 2012, 1(4): 194-204

[54]

Shaanxi Provincial Bureau of Statistics Shaanxi statistical yearbook, 2003, Beijing: China Statistics Press

[55]

Shaanxi Provincial Bureau of Statistics Shaanxi statistical yearbook, 2009, Beijing: China Statistics Press

[56]

Shaanxi Provincial Bureau of Statistics Shaanxi statistical yearbook, 2012, Beijing: China Statistics Press

[57]

Shan B, Xiong X, Wang R, Zheng Y, Yang S. Coulomb stress evolution along Xianshuihe–Xiaojiang fault system since 1713 and its interaction with Wenchuan earthquake, May 12, 2008. Earth and Planetary Science Letters, 2013, 377–378: 199-210

[58]

Shan W. Comparing ethnic minorities and Han Chinese in China: Life satisfaction, economic well being and political attitudes. East Asian Policy, 2010, 2(2): 13-22.

[59]

Sichuan Provincial Bureau of Statistics Sichuan statistical yearbook, 2003, Beijing: China Statistics Press

[60]

Sichuan Provincial Bureau of Statistics Sichuan statistical yearbook, 2009, Beijing: China Statistics Press

[61]

Sichuan Provincial Bureau of Statistics Sichuan statistical yearbook, 2012, Beijing: China Statistics Press

[62]

State Council of the People’s Republic of China. 2010. Report on the work of the government. Beijing, China. http://www.gov.cn/english/official/2010-03/15/content_1556124.htm. Accessed 27 May 2015.

[63]

Tang C, Zhu J, Qi X, Ding J. Landslides induced by the Wenchuan earthquake and the subsequent strong rainfall event: A case study in the Beichuan area of China. Engineering Geology, 2011, 122(1): 22-33

[64]

Tang C, Zhu J, Chang M, Ding J, Qi X. An empirical–statistical model for predicting debris-flow runout zones in the Wenchuan earthquake area. Quaternary International, 2012, 250: 63-73

[65]

Tate E. Social vulnerability indices: A comparative assessment using uncertainty and sensitivity analysis. Natural Hazards, 2012, 63(2): 325-347

[66]

USGS (United States Geological Survey). 2008. Magnitude 7.9—Eastern Sichuan, China. U.S. Geological Survey Earthquake Hazards Program. http://earthquake.usgs.gov/earthquakes/eqinthenews/2008/us2008ryan/. Accessed 27 May 2015.

[67]

Xu C, Xu X, Dai F, Saraf AK. Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China. Computers & Geosciences, 2012, 46: 317-329

[68]

Zheng G, Xu S, Liang S, Shi P, Zhao J. Gas emission from the Qingzhu River after the 2008 Wenchuan earthquake, Southwest China. Chemical Geology, 2013, 339: 187-193

AI Summary AI Mindmap
PDF

151

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/