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中国海典型区域风暴潮灾害经济损失预警研究
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摘要
伴随人类开发利用海洋,不断向深度和广度进军,海洋对人类的贡献将越来越大。与此同时,海洋灾害所造成的经济损失,也必将逐步升级。中国是世界上自然灾害严重的少数国家之一,不但灾害类型多,而且频度高、强度大,造成的社会经济损失也极其严重。同时我国又是典型的海洋大国,风暴潮灾害是我国沿海的主要海洋灾害。近年来,我国海洋经济增长迅速,2009年全国海洋生产总值31964亿元,同比增长8.6%,占沿海地区国内生产总值的15.5%,占全国GDP的9.53%。伴随经济的迅猛发展,风暴潮灾害对社会经济的影响日趋严重。20世纪90年代以来,由于沿海经济迅速发展,人口急剧增加,遭灾损失急速上升,每年竟高达百亿元以上。根据中国海洋灾害公报,2009年我国累计发生132次风暴潮、海浪和赤潮过程,其中33次造成灾害,其中风暴潮灾害造成直接经济损失84.97亿元。
     风暴潮灾害的频繁发生,给沿海地区的社会、经济发展带来了巨大压力。因此,加强风暴潮防灾减灾,尤其是开展风暴潮灾害的灾情监测、致灾规律、灾害影响预警研究,对国家的可持续发展和社会主义和谐社会的建设都具有重要的意义。
     目前受一些主客观条件的限制对于风暴潮灾害的研究基本上都是针对自然因素,而针对经济社会因素的则较少。论文在风暴潮灾害相关知识梳理基础上,界定了风暴潮灾害经济预警的定义,通过对风暴潮灾情灾害影响因素分析,建立风暴潮灾害预警指标体系。基于综合统计评估方法和经济预警理论对风暴潮灾害等级进行了划分和经济损失预警模型的建立。同时选取中国海典型地区进行风暴潮灾害经济损失预警的实证分析。论文主要包括六个部分,结构如下:
     第一部分为中国海典型区域风暴潮灾害经济预警相关概念的界定,主要包括三个部分:风暴潮灾害相关概念界定,经济预警相关概念界定,风暴潮灾害经济预警。
     第二部分是风暴潮灾害经济预警理论基础,主要包括四个理论:灾害管理学、灾害经济学、系统论、经济预警模型理论。
     第三部分是风暴潮灾害预警指标体系研究,通过一定的建立原则和选取方法,建立了一个包含21个三级指标和87个四级指标的指标体系。这些指标能较全面、科学、系统反映风暴潮灾害的情况,指标体系的建立为整个研究打下了坚实的基础。
     第四部分在风暴潮灾害经济预警指标体系中,选取了12个比较重要的指标,在此基础上基于熵值法和主成分分析法对风暴潮灾害损失等级进行了划分,通过灰色关联分析法、计量经济学方法、人工神经网络技术方法建立了风暴潮灾害经济综合预警模型。
     第五部分是在综合预警模型的基础上对堤坝损毁、房屋受损、农田损失、受灾人口、直接经济损失、养殖受损六个具体灾情的损失进行了预警。
     第六部分是总结与展望,对本文进行了总结并对下一步的工作进行了思考。
Contribution from Marine to human will become greater and greater. Accompanied by mankind’s continuously exploiting marine. Meanwhile, economic losses caused by Marine disasters will upgrade gradually . China is one of the few countries in the world which suffers many kinds of serious natural disasters with high frequency and intensity. While China is the typically marine great power ,storm surge disaster is the main Marine disaster in China's coastal. In recent years, China's Marine economy is growing rapidly. Marine GDP reached 31964 billion yuan in 2009 with an increase of 8.6% which accounted for 15.5% of GDP in coastal areas and also the 9.53% of GDP. Along with the rapid development of economy, storm surge disaster on the social and economic influence becomes more and more serious. Since the 1990s, annual calamity loss has reached as high as 10 billion yuan with a rapidly growing because of rapid economic development and population increasing dramatically. According to China's Marine disaster communique, storm surge, waves and redtide process accumulatively happened 132 times in China in 2009, in which direct economic loss caused by storm surge disaster was 84.97 billion yuan.
     The frequent occurrence from storm surge disaster has brought great pressure to social and economic development in coastal areas. Therefore, it has important significance for the sustainable development and the construction of the socialist harmonious society that we should strengthen the storm surge disaster prevention and mitigation in storm surge disaster, especially the disaster monitoring, disaster influences of hazard -formative rules and the state's early warning research.
     At present because of the limit of some subjective and objective conditions ,researches on storm surge disaster are largely about natural factors, while the economic and social factors of lower.This paper based on the knowledge of storm surge disaster defines the definition of storm surge disaster economic early-warning and establishes the storm surge disaster warning index system through analyze the influential factors of storm surge disaster disasters. It classified the level of the storm surge disaster and establishes the early-warning model of economic loss based on comprehensive evaluation method and the economic theory of storm surge disaster. Meanwhile it makes a empirical analysis on economic loss of storm surge disaster in China sea typical areas. This thesis mainly includes six parts, structure is as follows:
     The first part is the definition of related concept of storm surge disaster economic early-warning in China sea typical regions.It mainly includes three parts: storm surge disaster related definitions, economic warning related definitions, storm surge disaster economic warning.
     The second part is the storm surge disaster economic warning theoretical basis, mainly including four theories: disaster management, disaster economics, system theory and economic early-warning model theory.
     The third part is the storm surge disaster warning index system. We establish a index system contains 48 secondary indexes and 87 3- level indexes through certain principles and methods for selecting. These indexes can more comprehensive, scientific, systematic reflect on the storm surge disaster, establishment of index system lay a solid foundation to the whole study .
     In the fourth part ,we choose 12 important indexes from storm surge disaster economic early-warning index system.Based on these we classified the storm surge disaster loss level by using method of entropy and principal component analysis.We establish the storm surge disaster economic loss comprehensive early warning model through the gray correlation analysis method, econometric methods, the technique of artificial neural network method.
     The fifth part is make the early-warning to the dam damaged, roof damage, loss of farmland, the affected population, direct economic losses, breeding damaged six specific disaster losses based on the comprehensive warning model.
     The sixth part is the summarize and outlook.It makes a summarize to the article and a thinking to the next job.
引文
[1] LisaR. Kleinosky, Brent Yarnal and Ann Fisher et al. Vulnerability of Hampton Roads, Virginia to Storm-Surge Flooding and Sea-level Rise. Natural Hazards,2006.
    [2] Willian J P(向立云等译).自然灾害风险评价与减灾政策.北京:地震出版社,1993,28~166.
    [3]马宗晋.我国自然灾害的经济特征与社会发展[J].科技导报,1994(07)
    [4]于庆东.自然灾害绝对灾情分级模型及应用[J].系统工程理论方法应用, 1995(03)
    [5]任鲁川.灾害损失定量评估的模糊综合评判方法[J].灾害学,1996(04)
    [6]任鲁川.灾害损失等级划分的模糊灾度判别法[J].自然灾害学报,1996(03)
    [7]张梁,张业成.地质灾害经济评估[J].中国地质矿产经济,1996(09)
    [8]杨仕升.自然灾害等级划分及灾情比较模型探讨[J].自然灾害学报,1997,6(1):8-13.
    [9]魏一鸣,万庆等.基于神经网络的自然灾害灾情评估模型研究[J].自然灾害学报,1997,6(2): 1-6.
    [10]许启望,谭树东.风暴潮灾害经济损失评估方法研究[J].海洋通报,1998,17(l):1-12.
    [11]陈亚宁灾害损失评估的灰色聚类分析陈亚宁西北大学学报(自然科学版) 1999/06
    [12]徐海量,陈亚宁.洪水灾害等级划分的模糊聚类分析[J]干旱区地理,2000(04)
    [13]潘华盛,张桂华.黑龙江省洪水灾害等级评估模型——模糊综合评价法[J].黑龙江气象,2000(02)
    [14]李亚楠,张燕.我国海洋灾害经济损失评估模型研究[J].海洋环境科学2000(03)
    [15]冯平,崔广涛.暴雨洪水共同作用下的多变量防洪计算问题[J].水利学报2000(02)
    [16]万良君,曾再平.城市洪涝灾害的损失评估研究与防灾减损对策[J].气象水文海洋仪器,2003(04)
    [17]叶雯,刘美南.感知器算法在台风风暴潮灾情等级评估中的应用[J].中山大学学报(自然科学版), 2004, 43(2): 117-120.
    [18]吴红华.灾害损失评估的灰色模糊综合方法[J].自然灾害学报,2005(02)
    [19]吴红华,李正农.灾害损失评估的区间数模糊综合评判方法[J].自然灾害学报,2006(06)
    [20]纪燕新,熊艺媛,麻荣永.风暴潮灾害损失评估的模糊综合方法[J],广西水利水电,2007(02)
    [21]张亦飞,程传国.一种灾害等级的区间数评估模型[J].防灾减灾工程学报2007(04)
    [22]吴红华,李正农.灾害损失评估的三参数区间数模糊综合评判法[J].自然灾害学报,2008(05)
    [23]包为民,万新宇.基于主成分分析的河流洪水系统聚类法[J].河海大学学报(自然科学版) ,2008(01)
    [24]常相全,韩静轩.基于因子分析的地震灾害评价指标体系研究[J].统计与决策,2009(07)
    [25]谷莘,常相全.基于神经网络的地震灾害经济损失评价模型[J].统计与决策, 2009(10)
    [26]李培顺.青岛地区的台风暴潮灾度预报研究[J].海洋预报,1998(3):72-79.
    [27]陈敏,丁明云.风暴潮灾害监测预警技术发展方向研究建议[J].水利水文自动化,2009(6):32-34.
    [28]冯强,王昂生.灰色拓扑预测理论在暴雨洪涝灾害预测中的应用[J].自然灾害学报,1996(04)
    [29]魏一鸣,范英.基于神经网络的洪水灾害预测方法[J].中国管理科学, 2000(03)
    [30]涂国强,杨立中.地质灾害预测数学模型研究[J].四川师范大学学报(自然科学版),2006,25(2):296-300.
    [31]王福国,张振文.基于多元回归分析的瓦斯灾害预测[J].辽宁工程技术大学学报,2007(11).
    [32]张淑玲,崔洪庆.灰色关联理论在矿井瓦斯涌出灾害预测中的应用[J].煤炭技术,2008(03)
    [33]刘会田,姚精明.模糊综合评判法在矿井多种灾害预测中的应用[J].刘会田能源技术与管理,2008(06)
    [34]闫彦,刘志辉.新疆北疆地区融雪洪水灾害预警模型的建立与验证[J].干旱区地理,2009,32(4):551-557.
    [35] Charlotte Benson,Edward J.Clay.2004.”Understanding the Economic and Financial Impacts of Natural Disasters”,Disaster risk management series NO.4.World Bank, Washington, D.C.
    [36] Jack Hirshleifer. Disaster and Recovery: The Black Beath in Western Europe,1966
    [37] Kunreuther, Howard & E.S.Fiore. The Alaska Earthquake: A Case Study in the Economics of Disaster.1966
    [38] Jelesnianski C P, Jye chen and Wilson A. Shaffer. SLOSH: Sea, Lake and Overland Surges From Hurricanes, In: NOAA Technical Report NWS48,United States Department of Commerce, NOAA, NWS, Silver Springs,1992.
    [39] Schumm,S.A.Erroneous perceptions of fluvial hazards.Geomorphology.1994,10:129~138
    [40]刘会田,姚精明.模糊综合评判法在矿井多种灾害预测中的应用[J]能源技术与管理,2008(6).
    [41]宫清华,黄光庆等.地质灾害预报预警的研究现状及发展趋势[J].世界地质,2001,24(6):637-639.
    [42]雷治平.陕西农业干旱灾害评估及影响因子分析研究:[硕士学位论文].吉林:吉林大学,2009
    [43]金明一.台风灾害评估模型研究及应用:[硕士学位论文].陕西:西北农林科技大学,2005.
    [44]余卫东,张弘.我国农业气象灾害评估研究现状和发展方向[J].气象与环境科学,2009,32(3):73-77.
    [45]黄崇福.自然灾害风险评价理论与实践[M].北京:科学出版社, 2005.
    [46]刘伟东,扈海波,程丛兰,等.灰色关联度方法在大风和暴雨灾害损失评估中的应用[J].气象科技, 2007, 35(4): 563-566.
    [47]姜爱军,郑敏等.江苏省重要气象灾害综合评估方法的研究[J].气象科学,1998,18(2): 196-202.
    [48]李桂忱,胡朝霞.暴雨洪涝灾害灾情级别及其空间分布[J].中国减灾,1997,7(2):47-50.
    [49]冯志泽,胡政.地震灾害损失评估及灾害等级划分[J].灾害学,1994,9(1):13-16.
    [50]赵阿兴,马宗晋.自然灾害损失评估指标体系的研究.自然灾害学报,1993(3).
    [51]杨桂山.中国沿海风暴潮灾害的历史变化及未来趋向[J].自然灾害学报,2002,9(3):23-30.
    [52]郭迎春.河北省沿海风暴糊的发生规律研究闭.自然灾害学报,1997.6(4):82-89.
    [53]张俊香,卓莉等.广东省台风暴潮灾害社会经济系统脆弱性分析——模糊数学方法[J].自然灾害学报,2010,19(1):116-121.
    [54]侯淑梅,孙忠欣.温带气旋诱发的渤海风暴潮天气分析[J].气象科学,2009,29(3):220-224.
    [55]郑慧,赵昕.海洋灾害经济损失的模糊测定——以风暴潮为例[J].中国渔业经济,2009,27(4).
    [56]陈舜华,吕纯镰.福建省合风灾害评估试验[J].中国减灾,1994,4(3).
    [57]曾令锋.广西沿海台风灾害风险评估初探[J].灾害学,1996,11(1).
    [58]娄伟平,陈海燕.基于主成分神经网络的台风灾害经济损失评估[J].地理研究,2009,28(5).
    [59]张晓慧,盛春雁.青岛沿海风暴潮分析[J].海洋预报,2006,23.
    [60]林滋新,赵林平等.青岛近海台风暴潮灾害分析[J].海岸工程,1998(12):13-16.
    [61]林滋新,周庆满,李培顺.青岛近海风暴潮灾害及其预报研究[J].海岸工程,1996(9):15-24.
    [62]谢永刚.灾害经济学研究.北京:经济科学出版社,2006.5:5-11.
    [63]任鲁川.关于灾害实质的若干哲学思考[J].东方论坛,1995,(4).
    [64]恩格斯.反杜林论[J].人民出版社1999年版,152-164.
    [65]于光远.灾害经济学提出的根据和它的特点[J].灾害经济学,湖南人民出版社.1998.:2-4.
    [66]李培顺.青岛地区的台风暴潮与潮灾[J].海洋报预,1994(11):47-51.
    [67]李永善.灾害系统与灾害学探讨.灾害学.1986,1:7~11
    [68]杜一.灾害与灾害经济学.北京:中国城市经济社会出版社,1988
    [69]曾维华,程声通.环境灾害学引论.北京:中国环境科学出版社,2000
    [70]史键辉,王名文.风暴潮和风暴灾害分级问题的探讨[J].海洋预报,2000,17(2):12-15.
    [71]国家海洋局.中国海洋灾害与减灾[J].中国减灾,2000,10(4):13-17.
    [72]国家海洋局.中国海洋灾害公报[EB/OL].
    [73]孙峥,庄丽.风暴潮灾情等级识别的模糊聚类分析方法研究[J].自然灾害学报,2007,16(4):49-54.
    [74]殷克东,王辉.东南沿海风暴潮灾害损失评估模型研究[J].统计与决策,2010(19).

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