Damage in the 2008 China Earthquake
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Spatiotemporal Changes and the Driving Forces of Sloping Farmland Areas in the Sichuan Region
sustainability Article Spatiotemporal Changes and the Driving Forces of Sloping Farmland Areas in the Sichuan Region Meijia Xiao 1 , Qingwen Zhang 1,*, Liqin Qu 2, Hafiz Athar Hussain 1 , Yuequn Dong 1 and Li Zheng 1 1 Agricultural Clean Watershed Research Group, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-Environment, Ministry of Agriculture, Beijing 100081, China; [email protected] (M.X.); [email protected] (H.A.H.); [email protected] (Y.D.); [email protected] (L.Z.) 2 State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100048, China; [email protected] * Correspondence: [email protected]; Tel.: +86-10-82106031 Received: 12 December 2018; Accepted: 31 January 2019; Published: 11 February 2019 Abstract: Sloping farmland is an essential type of the farmland resource in China. In the Sichuan province, livelihood security and social development are particularly sensitive to changes in the sloping farmland, due to the region’s large portion of hilly territory and its over-dense population. In this study, we focused on spatiotemporal change of the sloping farmland and its driving forces in the Sichuan province. Sloping farmland areas were extracted from geographic data from digital elevation model (DEM) and land use maps, and the driving forces of the spatiotemporal change were analyzed using a principal component analysis (PCA). The results indicated that, from 2000 to 2015, sloping farmland decreased by 3263 km2 in the Sichuan province. The area of gently sloping farmland (<10◦) decreased dramatically by 1467 km2, especially in the capital city, Chengdu, and its surrounding areas. -
Prevalence of and Risk Factors for Depression Among Older Persons 6 Months After the Lushan Earthquake in China: a Cross-Sectional Survey
ORIGINAL RESEARCH published: 25 September 2020 doi: 10.3389/fpsyt.2020.00853 Prevalence of and Risk Factors for Depression Among Older Persons 6 Months After the Lushan Earthquake in China: A Cross-Sectional Survey Lan Li 1,2,3,7, Jan D. Reinhardt 3,4,5, Andrew Pennycott 6, Ying Li 7,8 and Qian Chen 7,8* 1 West China School of Nursing/West China Hospital, Sichuan University, Chengdu, China, 2 School of Nursing, Southwest Medical University, Luzhou, China, 3 The Hong Kong Polytechnic University Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu, China, 4 Swiss Paraplegic Research, Nottwil, Switzerland, 5 Department of Health Sciences and Health Policy, University of Lucerne, Lucerne, Switzerland, 6 Sensory-Motor Systems Lab, Department of Health Science and Technology ETH Zürich, Zürich, Switzerland, 7 The Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China, 8 National Clinical Research Center of Geriatrics, West China Hospital, Sichuan University, Chengdu, China Edited by: Background: Older persons are particularly vulnerable to the impact of earthquakes and Francesca Assogna, Santa Lucia Foundation (IRCCS), Italy are more likely to suffer from depression. Reviewed by: Objectives: We aimed to estimate the prevalence of depression, to compare the Valentina Ciullo, prevalence between disaster-affected and non-disaster affected areas, and to explore Santa Lucia Foundation (IRCCS), Italy Clelia Pellicano, additional risk factors for depression 6 months after the Lushan earthquake. Santa Lucia Foundation (IRCCS), Italy Design: Delfina Janiri, A cross-sectional study was conducted. Sapienza University of Rome, Italy Setting: A magnitude 7.0 earthquake occurred in Lushan County, Ya’an Prefecture, *Correspondence: Sichuan Province, on April 20, 2013. -
The 2008 Wenchuan Earthquake: Risk Management Lessons and Implications Ic Acknowledgements
The 2008 Wenchuan Earthquake: Risk Management Lessons and Implications Ic ACKNOWLEDGEMENTS Authors Emily Paterson Domenico del Re Zifa Wang Editor Shelly Ericksen Graphic Designer Yaping Xie Contributors Joseph Sun, Pacific Gas and Electric Company Navin Peiris Robert Muir-Wood Image Sources Earthquake Engineering Field Investigation Team (EEFIT) Institute of Engineering Mechanics (IEM) Massachusetts Institute of Technology (MIT) National Aeronautics and Space Administration (NASA) National Space Organization (NSO) References Burchfiel, B.C., Chen, Z., Liu, Y. Royden, L.H., “Tectonics of the Longmen Shan and Adjacent Regoins, Central China,” International Geological Review, 37(8), edited by W.G. Ernst, B.J. Skinner, L.A. Taylor (1995). BusinessWeek,”China Quake Batters Energy Industry,” http://www.businessweek.com/globalbiz/content/may2008/ gb20080519_901796.htm, accessed September 2008. Densmore A.L., Ellis, M.A., Li, Y., Zhou, R., Hancock, G.S., and Richardson, N., “Active Tectonics of the Beichuan and Pengguan Faults at the Eastern Margin of the Tibetan Plateau,” Tectonics, 26, TC4005, doi:10.1029/2006TC001987 (2007). Embassy of the People’s Republic of China in the United States of America, “Quake Lakes Under Control, Situation Grim,” http://www.china-embassy.org/eng/gyzg/t458627.htm, accessed September 2008. Energy Bulletin, “China’s Renewable Energy Plans: Shaken, Not Stirred,” http://www.energybulletin.net/node/45778, accessed September 2008. Global Terrorism Analysis, “Energy Implications of the 2008 Sichuan Earthquake,” http://www.jamestown.org/terrorism/news/ article.php?articleid=2374284, accessed September 2008. World Energy Outlook: http://www.worldenergyoutlook.org/, accessed September 2008. World Health Organization, “China, Sichuan Earthquake.” http://www.wpro.who.int/sites/eha/disasters/emergency_reports/ chn_earthquake_latest.htm, accessed September 2008. -
Prevalence and Risk Factors of Post-Traumatic Stress Disorder Among Elderly Survivors Six Months After the 2008 Wenchuan Earthqu
Li et al. BMC Psychiatry (2020) 20:78 https://doi.org/10.1186/s12888-020-2474-z RESEARCH ARTICLE Open Access Prevalence and risk factors of post- traumatic stress disorder among elderly survivors six months after the 2008 Wenchuan earthquake in China Lan Li1,2,3, Jan D. Reinhardt3,4,5, Craig Van Dyke1,6, Heng Wang7, Maoqiong Liu8, Aiko Yamamoto9, Qian Chen10* and Xiuying Hu11* Abstract Background: Several studies indicate that older age is a risk factor for probable post-traumatic stress disorder (PTSD). However, evidence on the prevalence and risk factors for elderly disaster survivors is limited. Methods: Multi-stage stratified sampling was applied in this cross-sectional study. The Revised Version of the Impact of Event Scale (IES-R) was used to evaluate symptoms of PTSD. Chi-squared test was used for univariable analysis of prevalence of probable PTSD by possible determinants. Multivariable logistic regression analysis was utilized to further explore risk factors for PTSD. Results: 427 elderly survivors age 60 or older participated. The prevalence of probable PTSD was 40.5, 36.3, and 21.5% according to a cut off score of the IES-R of 33, 35, and 2 points on average across items, respectively. In multivariable logistic regression, elderly survivors with a higher number of diagnosed chronic illnesses were more likely to be screened positive for PTSD and those with a greater number of family members living in the same home were less likely to be classified as having probable PTSD for all cut off scores. Elderly survivors with improved economic status and those with primary school or lower education were more often estimated to have probable PTSD with a cut off score of 35 and 2 points on average. -
Congressional-Executive Commission on China
CONGRESSIONAL-EXECUTIVE COMMISSION ON CHINA ANNUAL REPORT 2008 ONE HUNDRED TENTH CONGRESS SECOND SESSION OCTOBER 31, 2008 Printed for the use of the Congressional-Executive Commission on China ( Available via the World Wide Web: http://www.cecc.gov VerDate Aug 31 2005 23:54 Nov 06, 2008 Jkt 000000 PO 00000 Frm 00001 Fmt 6011 Sfmt 5011 U:\DOCS\45233.TXT DEIDRE 2008 ANNUAL REPORT VerDate Aug 31 2005 23:54 Nov 06, 2008 Jkt 000000 PO 00000 Frm 00002 Fmt 6019 Sfmt 6019 U:\DOCS\45233.TXT DEIDRE CONGRESSIONAL-EXECUTIVE COMMISSION ON CHINA ANNUAL REPORT 2008 ONE HUNDRED TENTH CONGRESS SECOND SESSION OCTOBER 31, 2008 Printed for the use of the Congressional-Executive Commission on China ( Available via the World Wide Web: http://www.cecc.gov U.S. GOVERNMENT PRINTING OFFICE ★ 44–748 PDF WASHINGTON : 2008 For sale by the Superintendent of Documents, U.S. Government Printing Office Internet: bookstore.gpo.gov Phone: toll free (866) 512–1800; DC area (202) 512–1800 Fax: (202) 512–2104 Mail: Stop IDCC, Washington, DC 20402–0001 VerDate Aug 31 2005 23:54 Nov 06, 2008 Jkt 000000 PO 00000 Frm 00003 Fmt 5011 Sfmt 5011 U:\DOCS\45233.TXT DEIDRE CONGRESSIONAL-EXECUTIVE COMMISSION ON CHINA LEGISLATIVE BRANCH COMMISSIONERS House Senate SANDER LEVIN, Michigan, Chairman BYRON DORGAN, North Dakota, Co-Chairman MARCY KAPTUR, Ohio MAX BAUCUS, Montana TOM UDALL, New Mexico CARL LEVIN, Michigan MICHAEL M. HONDA, California DIANNE FEINSTEIN, California TIMOTHY J. WALZ, Minnesota SHERROD BROWN, Ohio CHRISTOPHER H. SMITH, New Jersey CHUCK HAGEL, Nebraska EDWARD R. ROYCE, California SAM BROWNBACK, Kansas DONALD A. -
Post-Wenchuan Earthquake Rural Reconstruction and Recovery in Sichuan China
POST-WENCHUAN EARTHQUAKE RURAL RECONSTRUCTION AND RECOVERY IN SICHUAN CHINA: MEMORY, CIVIC PARTICIPATION AND GOVERNMENT INTERVENTION by Haorui Wu B.Eng., Sichuan University, 2006 M.Eng., Sichuan University, 2009 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in THE FACULTY OF GRADUATE AND POSTDOCTORAL STUDIES (Interdisciplinary Studies) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) September 2014 ©Haorui Wu, 2014 Abstract On May 12, 2008, an earthquake of a magnitude of 7.9 struck Wenchuan County, Sichuan Province, China, which affected 45.5 million people, causing over 15 million people to be evacuated from their homes and leaving more than five million homeless. From an interdisciplinary lens, interrogating the many interrelated elements of recovery, this dissertation examines the post-Wenchuan earthquake reconstruction and recovery. It explores questions about sense of home, civic participation and reconstruction primarily based on the phenomenon of the survivors of the Wenchuan Earthquake losing their sense of home after their post-disaster relocation and reconstruction. The following three aspects of the reconstruction are examined: 1) the influence of local residents’ previous memories of their original hometown on their relocation and the reconstruction of their social worlds and lives, 2) the civic participation that took place throughout the post-disaster reconstruction, 3) the government interventions overseeing and facilitating the entire post-disaster reconstruction. Based on fieldwork, archival and document research, memory workshops and walk-along interviews, a qualitative study was conducted with the aim of examining the earthquake survivors’ general memories of daily life and specific memories of utilizing space in their original hometown. -
Visa Application & Shipping Faqs
VISA APPLICATION & SHIPPING FAQS All answers must be ALL CAPS. For any field that does not apply to you, put N/A. CHINA VISA APPLICATION FORM: 1.6 Use the nationality of the country of passport that you will be applying for your visa with (in case yo u have dualcitizenship). Also, if you are an American citizen, please list USA or write out the United States of America. 1.9 – Put N/A or your driver’s license # (either is okay) 1.15 – Mark that you are a “Student” 1.17 – Write “University of Florida, 352‐392‐5323, 1765 Stadium Road, Gainesville, FL 32611” 1.24 – Write your US Emergency Contact (Usually your mom or dad) 2.1 – Mark “Short‐term study for less than 180 days 2.2 – Mark “Multiple entries valid for 1 year from the date of issue” 2.6 Write Boxue 2nd Building, Southwestern University of Finance and Economics, No. 55 Guanghuacun Street, Qingyang District, Chengdu 610074, Sichuan, China 2.7 Write “Inviter” (since you are paying housing and some other fees to us) and then any other that apply 2.8 For UF in Chengdu Language & Culture: Ms. HU Qianlin Tel: 028-87355437 Address: College of Intenational Education, Southwestern University of Finance and Economics, No. 55 Guanghuacun Street, Qingyang District, Chengdu 610074, Sichuan, China. Relationship: Program manager at SWUFE school For UF in Chengdu Computer Science: Name: Li Yi Phone Number: +86-28-87353263 Address: College of Intenational Education, Southwestern University of Finance and Economics, No. 55 Guanghuacun Street, Qingyang District, Chengdu 610074, Sichuan, China. -
El Análisis De Redes Inter- Organizacionales En El Ámbito Humanitario De Los Desastres Naturales
El análisis de redes inter- organizacionales en el ámbito Sergi Gil Virgili Gil Sergi humanitario de los desastres naturales El caso de las organizaciones internacionales no-gubernamentales en China, 2012-2013 Sergi Gil Virgili 2013 - Tese apresentada à Universidade de Évora para obtenção do Grau de Doutor em Dinâmicas da Saúde e da Proteção Social: uma abordagem das Ciências Sociais ORIENTADORES: Laurinda Abreu Patrice Bourdelais (EHESS) ÉVORA, NOVEMBRO DE 2017 gubernamentales en China, 2012 China, en gubernamentales - no organizacionales en el ámbito humanitario de los desastres naturales desastres los de humanitario ámbito el en organizacionales - Contactos: Universidade de Évora Instituto de Investigação e Formação Avançada - IIFA Palácio do Vimioso | Largo Marquês de Marialva, Apart. 94 internacionales organizaciones las de El caso 7002-554 Évora | Portugal Tel: (+351) 266 706 581 inter redes de análisis El Fax: (+351) 266 744 677 INSTITUTO DE INVESTIGAÇÃO E FORMAÇÃO AVANÇADA email: [email protected] El análisis de redes inter- organizacionales en el ámbito Sergi Gil Virgili Gil Sergi humanitario de los desastres naturales El caso de las organizaciones internacionales no-gubernamentales en China, 2012-2013 Sergi Gil Virgili 2013 - Tese apresentada à Universidade de Évora para obtenção do Grau de Doutor em Dinâmicas da Saúde e da Proteção Social: uma abordagem das Ciências Sociais ORIENTADORES: Laurinda Abreu Patrice Bourdelais (EHESS) ÉVORA, NOVEMBRO DE 2017 gubernamentales en China, 2012 China, en gubernamentales - no organizacionales en el ámbito humanitario de los desastres naturales desastres los de humanitario ámbito el en organizacionales - Contactos: Universidade de Évora Instituto de Investigação e Formação Avançada - IIFA Palácio do Vimioso | Largo Marquês de Marialva, Apart. -
2008 Sichuan Earthquake and Role of the Chinese Defence Forces in Disaster Kamlesh K
Focus 2008 Sichuan Earthquake and Role of the Chinese Defence Forces in Disaster Kamlesh K. Agnihotri* Relief The People’s Republic of China has been afflicted by natural calamities right from its inception in 1949, including severe river flooding, excess snowfall, cyclones, tsunamis and earthquakes. The consequential human suffering is further aggravated by the heavy population density. The mammoth 2008 earthquake in Sichuan province and the resultant loss of life and property exposed the ill-preparedness of the Chinese government machinery like never before. Nevertheless, the Chinese State Council rose admirably to the occasion. The Peoples’ Liberation Army (PLA) composed of military, armed police, militia and reserve troops was the single largest contributor to the emergency rescue, response and subsequent mitigation efforts. In the process, it encountered many obstacles, faced severe shortcomings, learnt valuable lessons and initiated measures to incorporate these lessons for better disaster preparedness in future. The PLA internalised disaster relief as one of its major tasks under the “military operations other than war” role. The situation in India—large population density and frequent occurrence of natural disasters—is similar to that of China. Thus, there are valuable lessons to be learnt from the Chinese experience of having suffered this earthquake and the methodology adopted, particularly by their armed forces, in disaster response, mitigation and capacity building for better management of mega disasters in future. Introduction On May 12, 2008, at about 1430 hours, a major earthquake measuring 8.0 on the Richter scale jolted Wenchuan County of south-west China’s Sichuan Province. The epicentre of the quake was located at 31° N Latitude and 103°40° E Longitude, about 80 km north-west of the provincial capital, Chengdu. -
Table of Codes for Each Court of Each Level
Table of Codes for Each Court of Each Level Corresponding Type Chinese Court Region Court Name Administrative Name Code Code Area Supreme People’s Court 最高人民法院 最高法 Higher People's Court of 北京市高级人民 Beijing 京 110000 1 Beijing Municipality 法院 Municipality No. 1 Intermediate People's 北京市第一中级 京 01 2 Court of Beijing Municipality 人民法院 Shijingshan Shijingshan District People’s 北京市石景山区 京 0107 110107 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Haidian District of Haidian District People’s 北京市海淀区人 京 0108 110108 Beijing 1 Court of Beijing Municipality 民法院 Municipality Mentougou Mentougou District People’s 北京市门头沟区 京 0109 110109 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Changping Changping District People’s 北京市昌平区人 京 0114 110114 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Yanqing County People’s 延庆县人民法院 京 0229 110229 Yanqing County 1 Court No. 2 Intermediate People's 北京市第二中级 京 02 2 Court of Beijing Municipality 人民法院 Dongcheng Dongcheng District People’s 北京市东城区人 京 0101 110101 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Xicheng District Xicheng District People’s 北京市西城区人 京 0102 110102 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Fengtai District of Fengtai District People’s 北京市丰台区人 京 0106 110106 Beijing 1 Court of Beijing Municipality 民法院 Municipality 1 Fangshan District Fangshan District People’s 北京市房山区人 京 0111 110111 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Daxing District of Daxing District People’s 北京市大兴区人 京 0115 -
Spatial Association and Effect Evaluation of CO2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis
sustainability Article Spatial Association and Effect Evaluation of CO2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis Jinzhao Song 1, Qing Feng 1, Xiaoping Wang 1,*, Hanliang Fu 1 , Wei Jiang 2 and Baiyu Chen 3 1 School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China; [email protected] (J.S.); [email protected] (Q.F.); [email protected] (H.F.) 2 Department of Ecosystem Science and Management, Pennsylvania State University, Forest Resources Building, University Park, PA 16802, USA; [email protected] 3 College of Engineering, University of California Berkeley, Berkeley, CA 94720, USA; [email protected] * Correspondence: [email protected] Received: 29 October 2018; Accepted: 17 December 2018; Published: 20 December 2018 Abstract: Urban agglomeration, an established urban spatial pattern, contributes to the spatial association and dependence of city-level CO2 emission distribution while boosting regional economic growth. Exploring this spatial association and dependence is conducive to the implementation of effective and coordinated policies for regional level CO2 reduction. This study calculated CO2 emissions from 2005–2016 in the Chengdu-Chongqing urban agglomeration with the IPAT model, and empirically explored the spatial structure pattern and association effect of CO2 across the area leveraged by the social network analysis. The findings revealed the following: (1) The spatial structure of CO2 emission in -
An Analysis of Urban Green Landscape Pattern in Chengdu City
Proceedings of 14th Youth Conference on Communication An Analysis of Urban Green Landscape Pattern in Chengdu City Based on CBERS/CCD 1 2 3 3 DAN Bo , DAN Shang-ming , XU Hui-xi , XUE Wan-rong 1. Sichuan Provincial Meteorological Observatory, Chengdu 610072, P.R.China 2. Sichuan Province Agrimeteorological Center, Chengdu 610072, P.R.China 3. Institute of Engineering Surveying, Sichuan College of Architectural Technology, Deyang 618000, P.R.China [email protected] Abstract: Based on GIS and CBERS/CCD which was obtained on June 16, 2006, patches of urban green in the main urban areas of Chengdu are extracted using many quantitative indicators and by method of decision tree classification, according to principles and methods of landscape ecology. Patches of urban green are divided into four grades, and they are respectively small-scale patch, medium-scale patch, large-scale patch and special large-scale patch. The area pro- portion of small-scale patch is 3.8%, and that of medium-scale patch is 11.1%, that of large-scale patch is 22.3% and that of special large-scale patch is 62.8%.The results of fragmentation, contagion, diversity index, dominance and evenness are obtained. They are 0.854, 0.600, 0.657, 0.730 and 0.690 respectively. The research results think that scal- ability characteristics and divisional differences of green patches are obvious. A little number of green whose area is bigger mainly is composed of scenic spots, gardens and universities. There are many problems, for example, connec- tivity of urban green is low, structure of landscape is single, and spatial distribution is unbalanced.