基于PGIS的社区洪涝灾害概率风险评估——以福建省泰宁县城区为例

doi:10.11821/dlyj201401004

地理研究 ›› 2014, Vol. 33 ›› Issue (1): 31-42.doi: 10.11821/dlyj201401004

基于PGIS的社区洪涝灾害概率风险评估——以福建省泰宁县城区为例

李卫江, 温家洪, 吴燕娟

上海师范大学地理系, 上海200234

收稿日期:2012-11-12 修回日期:2013-03-17 出版日期:2014-01-10 发布日期:2014-01-10
通讯作者: 温家洪（1966- ），男，江西兴国人，教授、博导、博士，主要从事灾害风险建模、风险分析与管理、遥感与GIS应用研究。E-mail：jhwen@shnu.edu.cn
作者简介:李卫江（1976- ），男，河南灵宝人，副教授、博士，主要从事自然灾害风险评估、空间信息共享、GIS开发与应用研究。E-mail：lwj@shnu.edu.cn
基金资助:
国家自然科学基金重点项目（40730526）；上海市教委重点学科项目（J50402）

PGIS-based probabilistic community flood disaster risk assessment：A case of Taining County Town, Fujian Province

LI Weijiang, WEN Jiahong, WU Yanjuan

Department of Geography, Shanghai Normal University, Shanghai 200234, China

Received:2012-11-12 Revised:2013-03-17 Online:2014-01-10 Published:2014-01-10

摘要/Abstract

摘要： 以福建泰宁县城区为例，基于PGIS 和概率（情景）风险分析方法，开展社区尺度的洪涝灾害风险研究。利用1949-2011年13 次历史洪灾资料，计算了洪水的强度—超越概率，得出大于洪峰流量2929.18 m³/s 和洪峰水位281.50 m的年超越概率为1.6%。在此情景下，县城淹没面积达1.3 km²（占总面积31.0%），最大淹没深度超过3.5 m，最长淹没时间超过10小时，共有1846 幢建筑物（占全部建筑的42.2%）受影响。分别针对受灾区域房屋建筑、住宅室内财产和商户室内财产，建立灾损方程，评估损失价值，并绘制灾损地图。结果表明，洪涝灾害对社区造成的影响显著，有必要制定应急预案，建立早期预警等进行防灾降险。

关键词: 参与式地理信息系统, 社区, 洪涝灾害, 风险评估, 福建泰宁

Abstract: We carried out a case study of community-scale flood disaster risk assessment in Taining, Fujian, China, using a PGIS method and probabilistic (scenario) risk analysis model. The relationship between flood hazard intensity and exceedance probability in the study area was calculated using historical data of 13 flood events that occurred between 1949-2011. Our analysis shows that the annual probability of exceedance (AEP) of flood is 1.6% with a peak discharge of 2929.18 m³/s and a peak water level of 281.50 m on the scenario of 1.6% AEP, the inundation area is up to 1.3 km², covering approximately 31.0% of the total area of the county town, the deepest inundation depth is over 3.5 m, and the maximum inundation time is over 10 hours. There are 1846 (42.2% of the total) buildings affected by the floods. Three disaster loss formulae were established based on loss information derived from the damaged buildings, household properties and retail store properties, respectively, and then loss estimation were conducted, and loss distribution was mapped. The results show that, the impacts of flood disaster on the community are significant, and it is necessary to make emergency planning and establish an early warning system for flood disaster prevention and reduction.

Key words: PGIS, community, flood disaster, risk assessment, Taining County of Fujian Province

李卫江, 温家洪, 吴燕娟. 基于PGIS的社区洪涝灾害概率风险评估——以福建省泰宁县城区为例[J]. 地理研究, 2014, 33(1): 31-42.

LI Weijiang, WEN Jiahong, WU Yanjuan. PGIS-based probabilistic community flood disaster risk assessment：A case of Taining County Town, Fujian Province[J]. GEOGRAPHICAL RESEARCH, 2014, 33(1): 31-42.

参考文献

[1] 史培军, 郭卫平, 李保俊, 等. 减灾与可持续发展—从第二次世界减灾大会看中国减灾战略的调整. 自然灾害学报, 2005, 14(3): 1-7.[Shi Peijun, Guo Weiping, Li Baojun et al. Disaster reduction and sustainable development: Adjustment of disaster reduction strategies of China based on " The 2nd World Conference on Disaster Reduction. 2005". Journal of Natural Disasters, 2005, 14(3): 1-7.]
[2] Shaw R. Community-based disaster risk reduction. London: Emerald Group Publishing Limited, 2012. 1-7.
[3] Van Aalst M K, Cannon T, Burton I. Community level adaptation to climate change: The potential role of participatory community risk assessment. Global Environmental Change, 2008, 18(1): 165-179.
[4] Sheppard E, Couclelis H, Graham S et al. Geographies of the information society. International Journal of Geographical Information Science, 1999, 13(8): 797-823.
[5] Haynes K, Barclay J, Pidgeon N. Volcanic hazard communication using maps: An evaluation of their effectiveness. Bulletin of Volcanology, 2007, 70(2): 23-138.
[6] Tran P, Shaw R, Chantry G et al. GIS and local knowledge in disaster management. Disasters. 2009, 33(1): 152-169.
[7] White, Kingston R, Barker A. Participatory geographic information systems and public engagement within flood risk management. Journal of Flood Risk Management, 2010, 3(4): 336-347.
[8] Maskrey A. Disaster mitigation: A Community Based Approach. Oxford: Oxfam, 1989, 1-100.
[9] Morgan M G, Henrion M. Uncertainty: A Guide to dealing with uncertainty in quantitative risk and policy analysis. London: Cambridge University Press, 1990: 1-10.
[10] Smith K. Environmental Hazards-Assessing Risk and Reducing Disaster. London:Routledge, 1996: 6-7.
[11] Crichton D. The Risk Triangle. In: Ingleton J (ed.). Natural Disaster Management. London: Tudor Rose, 1999. 102-103.
[12] 黄大鹏, 郑伟, 张人禾, 等. 安徽淮河流域洪涝灾害防灾减灾能力评估. 地理研究, 2011, 30(3): 523-530.[Huang Dapeng, Zheng Wei, Zhang Renha et al. Assessment of capacity of flood disaster prevention and reduction of Huaihe River Basin in Anhui Province. Geographical Research, 2011, 30(3): 523-530.]
[13] Coburn A, Spence R. Earthquake Protection. New York: John Wiley & Sons, 2002. 313-315.
[14] ASCE. Hydrology Handbook (Second Edition). New York: ASCE Publications, 1996. 553-554.
[15] Apel H, Thieken A H, Merz B et al. A probabilistic modeling system for assessing flood risks. Natural Disasters, 2006, 38(1-2): 79-100.
[16] Alcantara-Ayala I. Flowing mountains in mexico-incorporating local knowledge and initiatives to confront disaster and promote prevention. Mountain Research and Development, 2004, 24(1): 10-13.
[17] 赵士鹏. 闽江上游地区山洪灾害风险评估. 地理研究, 1997, 16(1): 98-103.[Zhao Shiping. Hazard assessment for mountain torrents on the upper reach area of Minjiang River. Geographical Research, 1997, 16(1): 98-103.]
[18] 欧阳英. 泰宁县志. 北京: 群众出版社, 1993: 1-100.[Ou Yangying. Taining County Annals. Bei Jing: The Mass Press, 1993: 1-100.]
[19] 丁瑜, 刘祖展, 孙海平, 等. 三明市志. 北京:方志出版社, 2002: 350-500.[Ding Yu, Liu Zuzhan, Sun Haiping et al. Sanming City Annals. Bei Jing: Publishing House of Local Records, 2002: 350-500.]
[20] 尹占娥. 城市自然灾害风险评估与实证研究. 上海: 华东师范大学博士论文, 2009.[Yin Zhan'e. Research of urban natural disaster risk assessment and case Study (Ph.D thesis). Shang Hai: East China Normal University, 2009.]
[21] Colin G. The evaluation of vulnerability to flooding. Disaster Prevention and Management, 2004, 13(4): 323-329.
[22] Peters Guarin G, van Westen C J, Montoya A L. Community based flood risk assessment using GIS for the town of San Sebastian, Guatemala. Journal of Human Security and Development, 2005, (1): 29-49.
[23] 朱静. 城市山洪灾害风险评价: 以云南省文山县城为例. 地理研究, 2010, 29(4): 655-665.[Zhu Jing. Urban flash-flood risk assessment: A case study in Wenshan City, Yunnan. Geographical Research, 2010, 29(4): 655-665.]

基于PGIS的社区洪涝灾害概率风险评估——以福建省泰宁县城区为例

PGIS-based probabilistic community flood disaster risk assessment：A case of Taining County Town, Fujian Province

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