洪涝灾害风险监测预警评估综述

doi:10.11820/dlkxjz.2012.03.012

Abstract

Abstract: Along with the global warming, flood disasters occur more frequently. Monitoring, early warning and assessment for disaster risk are an important way to reduce disaster losses. So it is one of the core issues in the current disaster research. On the basis of the analysis of the disaster risk, this paper described the concept, the content of warning and assessment, and ways of assessment and methods of flood disaster warning in China. This paper argued that in order to reduce flood hazard and the uncertainty of vulnerability analysis, we should explore the mechanism of flood disaster. In addition, monitoring technology was so important for risk assessment that we should improve sensor performance to increase accuracy; integrate multi-source remote sensing data; develop the "3S" integrated technology.

Key words: assessment, flood disaster, monitoring and warning, risk

LIAO Yongfeng, NIE Chengjing, YANG Linsheng, Li Hairong. An Overview of the Risk Assessment of Flood Disaster[J].PROGRESS IN GEOGRAPHY, 2012, 31(3): 361-367.

References

[1] 张继权, 李宁. 主要气象灾害风险评估与管理的数量化方法及其应用. 北京: 北京师范大学出版社, 2007.
[2] 王静爱, 史培军, 朱骊, 等. 中国沿海自然灾害及减灾对策. 北京师范大学学报: 自然科学版, 1995, 31(3): 104-109.
[3] 孙绍骋. 灾害评估研究内容与方法探讨. 地理科学进展, 2001, 20(2): 122-130.
[4] Gouldby B, Krzhizhanovskaya V, Simm J. Multiscale modelling in real-time flood forecasting systems: From sand grain to dike failure and inundation. Procedia Computer Science, 2010, 1(1): 809-809.
[5] 黄崇福. 自然灾害风险评估理论与实践. 北京: 科学出版社, 2004.
[6] 刘小艳, 孙娴. 气象灾害风险评估研究进展. 江西农业学报, 2009, 21(8): 123-125.
[7] Makrey A. Disaster Mitigation: A Community Based Approach. Oxford: Oxfam Professional, 1989.
[8] Smith K. Environmental Hazards: Assessing Risk and Reducing Disaster. New York: Routledge, 1996.
[9] IUGS. Quantitative Risk Assessment for Slopes and Landslides: The State of the Art.//Cruden D M, Fell R. Landslide Risk Assessment, Balkema, Rotterdam, The Netherlands, 1997: 3-12.
[10] Deyle R E, French S P, Olshansky R B. Hazard assessment: The factual basis for planning and mitigation//Burby R J. Cooperation with Nature: Confronting Natural Hazards with Land-Use Planning for Sustainable Communities. Washington D C: Joseph Henry Press, 1998: 116-119.
[11] Hurst N W. Risk Assessment: The Human Dimension. Cambridge: The Royal Society of Chemistry, 1998.
[12] 葛全胜, 邹铭, 郑景云, 等. 中国自然灾害风险综合评估初步研究. 北京: 科学出版社, 2008.
[13] 张继权, 李宁. 主要气象灾害风险评估与管理的数量化方法及其应用. 北京: 北京师范大学出版社, 2007.
[14] Waisurasingha C, Aniya M, Hirano A, et al. Application of remote sensing and GIS for improving rice production in flood-prone Areas: A case study in lower Chi-River Basin, Thailand. Jarq-Japan Agricultural Research Quarterly, 2008, 42(3): 193-201.
[15] 周成虎. 洪涝灾害遥感监测研究. 地理研究, 1993, 12 (2): 63-68.
[16] Pulvirenti L, Chini M, Pierdicca N, et al. Flood monitoring using multi-temporal COSMO-SkyMed data: Image segmentation and signature interpretation. Remote Sensing of Environment, 2011, 115(4): 990-1002.
[17] Kuang K S C, Quek S T, Maalej M. Remote flood monitoring system based on plastic optical fibres and wireless motes. Sensors and Actuators A: Physical, 2008, 147(2): 449-455.
[18] van Manen S E, and Brinkhuis M. Quantitative flood risk assessment for polders. Reliability Engineering & System Safety, 2005, 90(2/3): 229-237.
[19] Kasperson J X, Kasperson R E, Turner B L. Regions at Risk: Comparisons of Threatened Environments. Tokyo, New York, Paris: United Nations University Press, 1995.
[20] Anselmoa V, Galeatib G, Palmieri S, et al. Flood risk assessment using an integrated hydrological and hydraulic modeling approach: A case study. Journal of Hydrology, 1996, 175(1-4): 533-554.
[21] Davidson R A, Lamber K B. Comparing the hurricane disaster risk of U. S. coastal counties. Natural Hazards Review, 2001, 2(3): 132-142.
[22] 周寅康. 自然灾害风险评估初步研究. 自然灾害学报, 1995, 4(1): 6-11.
[23] Martinelli L, Zanuttigh B, and Corbau C. Assessment of coastal flooding hazard along the Emilia Romagna littoral, IT. Coastal Engineering, 2010,57(11-12): 1042-1058.
[24] 蒋卫国, 李京, 陈云浩, 等. 区域洪水灾害风险评估体系 (I): 原理与方法. 自然灾害学报, 2008, 17(6): 53-59.
[25] Robins C R, Buck B J, Williams A J, et al. Comparison of flood hazard assessments on desert piedmonts and playas: A case study in Ivanpah Valley, Nevada. Geomorphology, 2009, 103(4): 520-532.
[26] Mazzorana B, Comit, F, Volcan C, et al. Determining flood hazard patterns through a combined stochastic-deterministic approach. Natural Hazards, 2011, 59(1): 301-316.
[27] 李海萍, 彭望录, 赵济. 黄淮海平原历史早涝灾害的时间序列分析. 北京师范大学学报: 自然科学版, 1995, 31 (4): 549-559.
[28] 陈家其. 从太湖流域1991 年6-7 月特大洪涝论水旱规律研究的应用性. 地理学报, 1992, 47(1): 1-5.
[29] Xia J Q, Falconer R A, Lin B L, et al. Numerical assessment of flood hazard risk to people and vehicles in flash floods. Environmental Modelling & Software, 2011, 26 (8): 987-998.
[30] 王建华. 基于模糊综合评判法的洪水灾害风险评估. 水利科技与经济, 2009, 15(4): 338-340.
[31] 罗培. 基于GIS 和模糊评估法的重庆洪涝灾害风险区划. 西华师范大学学报: 自然科学版, 2007, 28(2): 165-171.
[32] 胡亦知. 基于历史资料分析的台风水灾智能预警系统研究. 水文, 2009, 29(4): 47-51.
[33] Jain S K, Singh R D, Jain M K, et al. Delineation of flood-prone areas using remote sensing techniques. Water Resources Management, 2005, 19(4): 333-347.
[34] 张继权, 李宁. 主要气象灾害风险评估与管理的数量化方法及其应用. 北京: 北京师范大学出版社, 2007.
[35] Sharma C S, Behera M D, Mishra A, et al. Assessing flood induced land-cover changes using remote sensing and fuzzy approach in Eastern Gujarat (India). Water Resources Management, 2011, 25(13): 3219-3246.
[36] Marti-Cardona B, Lopez-Martinez C, Dolz-Ripolles J, et al. ASAR polarimetric, multi-incidence angle and multitemporal characterization of Do?ana wetlands for flood extent monitoring. Remote Sensing of Environment, 2010, 114(11): 2802-2815.
[37] Proud S R, Fensholt R, Rasmussen L V, et al. Rapid response flood detection using the MSG geostationary satellite. International Journal of Applied Earth Observation and Geoinformation, 2011, 13(4): 536-544.
[38] 徐关, 黄诗峰, 李纪人. RS与GIS 技术支持下的2003 年淮河流域洪涝灾害快速监测与评估. 水利水电技术, 2004, 35(5): 83-86.
[39] Dyke G, Gill S, Davies R, et al. Dream project: Applications of earth observations to disaster risk management. Acta Astronautica, 2011, 68(1-2): 301-315.
[40] Zhou Y X, Liu G J, Fu E J, et al. An object-relational prototype of GIS-based disaster database. Procedia Earth and Planetary Science, 2009, 1(1): 1060-1066.
[41] 戴昌达. 应用航天遥感技术监测评估洪涝灾情. 中国航天, 1996, (2): 8-12.
[42] 潘世兵, 李纪人. 遥感技术在水利领域的应用. 中国水利, 2008(21): 63-66.
[43] Guo H D. Space borne and airborne SAR for target detection and flood monitoring. Photogrammetric Engineering & Remote Sensing, 2000, 66(5): 611-617.
[44] 魏成阶, 王世新. 1998 年全国洪涝灾害遥感监测评估的主要成果: 基于网络的洪涝灾情遥感速报系统的应用. 自然灾害学报, 2000, 9(2): 16-25.
[45] 张晓虎. 卫星监测台风信息处理系统. 应用气象学报, 2003, 14(4): 505-509.
[46] 曾明剑, 于波, 周曾奎, 等. 台风业务应用和预警系统简介. 气象科学, 2007, 27(4): 451-456.
[47] 江春发, 王仁谦. 用GIS技术建立台风跟踪预警系统. 华侨大学学报: 自然科学版, 2003, 24(1): 60-63.
[48] Kuang K S C, Quek S T, Maalej M. Remote flood monitoring system based on plastic optical fibres and wireless motes. Sensors and Actuators A: Physical, 2008, 147(2): 449-455.
[49] Klemp, J B, Skamarock W C, Dudhia J. Conservative split-explicit time integration methods for the compressible nonhydrostatic equations. Monthly Weather Review, 2007, 135(8): 2897-2913.
[50] 章国材, 娇梅燕, 李延香, 等. 现代气象预报技术和方法. 北京: 气象出版社, 2007.

An Overview of the Risk Assessment of Flood Disaster

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0

[1]	GUO Qian, LIAO Heping, WANG Ziyi, LIU Yuanli, LI Tao. Measurement of rural poverty alleviation sustainability and return-to-poverty risk identification in Qinling-Bashan Mountains:A case study of Chengkou County, Chongqing Municipality [J]. PROGRESS IN GEOGRAPHY, 2021, 40(2): 232-244.
[2]	XUE Qian, XIE Miaomiao, GUO Qiang, WANG Yanan, WU Rongrong, LIU Qi. Research progress on urban heat wave vulnerability assessment: A geographical perspective [J]. PROGRESS IN GEOGRAPHY, 2020, 39(4): 685-694.
[3]	XIONG Chenran, WANG Limao, QU Qiushi, XIANG Ning, WANG Bo. Progress and prospect of geopolitical risk research [J]. PROGRESS IN GEOGRAPHY, 2020, 39(4): 695-706.
[4]	NING Siyu, HUANG Jing, WANG Zhiqiang, WANG Huimin. Indirect economic losses of flood disaster based on an input-output model: A case study of Hubei Province [J]. PROGRESS IN GEOGRAPHY, 2020, 39(3): 420-432.
[5]	LIU Di, CHEN Hai, GENG Tianwei, ZHANG Hang, SHI Qinqin. Spatiotemporal changes of regional ecological risks in Shaanxi Province based on geomorphologic regionalization [J]. PROGRESS IN GEOGRAPHY, 2020, 39(2): 243-254.
[6]	XIE Yongshun, WANG Chengjin, HAN Zenglin, LIU Shuzhou. Structural resilience evolution of multiple urban networks in the Harbin-Dalian urban belt [J]. PROGRESS IN GEOGRAPHY, 2020, 39(10): 1619-1631.
[7]	Hui WANG, Changchun SONG. Regional ecological risk assessment of wetlands in the Sanjiang Plain [J]. PROGRESS IN GEOGRAPHY, 2019, 38(6): 872-882.
[8]	Jiayi FANG, Peijun SHI. A review of coastal flood risk research under global climate change [J]. PROGRESS IN GEOGRAPHY, 2019, 38(5): 625-636.
[9]	Hui ZHANG, Cheng LI, Jiong CHENG, Zhifeng WU, Yanyan WU. A review of urban flood risk assessment based on the framework of hazard-exposure-vulnerability [J]. PROGRESS IN GEOGRAPHY, 2019, 38(2): 175-190.
[10]	Ning ZHANG, Dawei WANG. Drug-related crime risk assessment and predictive policing based on risk terrain modeling [J]. PROGRESS IN GEOGRAPHY, 2018, 37(8): 1131-1139.
[11]	Qian LI, Haiyang YU, Ting LI, Shuang LONG, Wei SHAO, Ying WANG, Yingjun XU. Hazard assessment of typhoons affecting the Beijing-Tianjin-Hebei region based on Gumbel distribution [J]. PROGRESS IN GEOGRAPHY, 2018, 37(7): 933-945.
[12]	Lingbo XIAO. Spatiotemporal distribution of high flood risk areas in China, 1736-1911 [J]. PROGRESS IN GEOGRAPHY, 2018, 37(4): 495-503.
[13]	Wenwu ZHAO, Yue LIU, Qiang FENG, Yaping WANG, Siqi YANG. Ecosystem services for coupled human and environment systems [J]. PROGRESS IN GEOGRAPHY, 2018, 37(1): 139-151.
[14]	Shaohong WU, Jiangbo GAO, Haoyu DENG, Lulu LIU, Tao PAN. Climate change risk and methodology for its quantitative assessment [J]. PROGRESS IN GEOGRAPHY, 2018, 37(1): 28-35.
[15]	Ke CAO, Zhifeng ZHANG, Hongwei MA, Zhengxian YANG, Anning SUO. Capacity for resource exploitation based on marine functional zones: A case study in the Tianjin-Hebei coastal area [J]. PROGRESS IN GEOGRAPHY, 2017, 36(3): 320-326.