长江三角洲自然灾害数据库建设与风险评估研究
[Abstract]:At present, the increasingly serious disaster problem has attracted the attention of the government and the academia. The risk assessment of natural disasters is an important prevention and mitigation measures, which is the main prevention and prevention of disaster. It is the basis and basis for the comprehensive disaster reduction and emergency management countermeasures. It is a hot spot in the field of disaster research and the global warming. In the context of the rising sea level, in view of the increasing frequency and intensity of natural disasters and the increasing loss of disaster, the Yangtze Delta region (Jiangsu, Zhejiang, Shanghai, two provinces and one city) is selected as the research area. Based on the related theories of natural disaster research, the latest achievements of domestic and foreign research are digested and absorbed. The disaster classification system, collecting related disaster data, constructing the standard and database of natural disaster metadata, and applying the method of scenario analysis and GIS technology, carried out the study on the risk assessment of natural disasters in the Yangtze River Delta region, which provided a scientific basis for the government departments to construct regional risk management system and promote the development of disaster prevention and reduction work. The main results are as follows:
(1) on the basis of earth system science, the nature and classification of natural disasters are determined according to the layer structure. In this classification system, the four major types of meteorology, hydrology, geology and biology correspond to the atmosphere, water, lithosphere and biosphere in the structure of the earth's surface system respectively. It is beneficial to identify and analyze the environment of disaster caused by the factors causing the disaster. This classification system is an important reference for the construction of the natural disaster metadata standard and the Yangtze River Delta natural disaster database. It not only draws on the current international classification methods of natural disasters, but also takes into account the classification habits of domestic disaster research and related departments for a long period, and has good compatibility. And extensibility.
(2) when collecting natural disaster historical data through newspapers and periodicals, we should focus on three issues: text semantic understanding and natural disaster data extraction; time and space location description and matching of natural disaster events: the accuracy and reliability evaluation of natural disaster data or text information. When data preprocessing and collection work is completed, Scientific data coding is needed to set the unique sequence number for each record as a sign. The natural disaster type code can be coded by the classification code + identification code, and the natural disaster event coding can take the specific date of the natural disaster events + the format of the day number.
(3) through the analysis of the definition, characteristics, classification and function of metadata and metadata standards, the design idea of the metadata standard for natural disasters is proposed, and the construction of the metadata standard for natural disasters is completed, which can provide service for the natural disaster data management and database development, and also provide support for the natural disaster data co hener. The metadata standard is compiled, and the content, structure and format of natural disaster metadata are defined. The specific standard covers six entities, 33 elements, and 36 sub elements. For each metadata element, there are nine attributes to restrict and explain.
(4) based on the comparison and analysis of the major natural disasters database at home and abroad, and on the basis of the advanced international experience and the existing problems in China, this paper puts forward the construction ideas of the natural disaster database of the Yangtze River Delta, including the construction principles, the overall design and the software and hardware environment in three aspects. The structure and the relation of each data table are introduced in detail, and the management and maintenance of the natural disaster database of the Yangtze River Delta are discussed, including user management, data management, database performance maintenance, database backup and recovery, etc.
(5) to study the spatio-temporal evolution of natural disasters in the Yangtze River Delta region for the last 60 years, analyze the spatial and temporal pattern and characteristics, discuss the interannual and interannual changes of the frequency of natural disasters, and analyze the spatial distribution of the frequency of natural disasters from the two level administrative units of the Province (municipality) and county (municipal district). The results show that the high incidence area of natural disasters is shown. The occurrence of natural disasters in the central and southern parts of the Yangtze River Delta region is more serious than that in the northern part of the Yangtze River Delta. On this basis, a linear autoregressive model is established to analyze and predict the future trend of natural disasters in the Yangtze River Delta. According to the calculated results, the number of natural disasters in the Yangtze River Delta region is rising in 2020, the peak of the occurrence of natural disasters is rising in.2010 years in 2013, but it has risen steadily since 2013. It is expected that by 2016, the number of natural disasters will return to 2010 level. To 2020, a new historical peak will appear.
(6) under the typhoon disaster scenario with a period of 10 years of recurrence, the damage rates of the counties (municipal districts) are low, the areas with low vulnerability and medium vulnerability are equal, and most counties (municipalities) belong to low risk or lower risk. In the typhoon disaster scenario with the recurrence period of 50 years, the low vulnerability and low vulnerability counties (municipal districts) are only fragmentary. Most areas are vulnerable to medium or high vulnerability, low risk and low risk areas have been substantially reduced, and many moderate or high risk counties (municipalities) have appeared in Jiangsu and Zhejiang. Most counties (municipalities) in the Yangtze River Delta region have high vulnerability in the 100 year recurrence period of typhoon disaster. Or high vulnerability, the central region is almost all high risk or high risk area, there are a large number of medium risk areas in the north, and relatively low risk in the south.
(7) under the flood disaster situation of 10 years, Lianyungang, Yancheng, Yangzhou, Shanghai, Shaoxing, Lishui, Taizhou and other regions showed high or high vulnerability, Changzhou, Suzhou and other regions showed overall low vulnerability, high risk in the central region of the Yangtze River Delta, North and south of Zhejiang, low risk. Under the 50 year flood disaster scenario, the region of lower vulnerability is only Suichang, and in Liyang, the area of the original low risk area has been reduced by about half, the high-risk area is expanding to the north and south, and the risk of South of Jiangsu and Northern Zhejiang is increased. In the flood disaster situation of 100 years in the recurrence period, the Yangtze River Delta region has a relatively extreme vulnerability. Distribution, most areas of the whole region are high vulnerability, the area of high risk areas in the middle of the region continues to expand, and the areas with lower overall risk are only a few areas in the southwest of Zhejiang Province, represented by the Lishui region.
(8) under the scenario of 10 years of rainstorm, all counties (municipal districts) belong to middle and low vulnerability and low risk. Under the scenario of 50 years of heavy rain disaster, the vulnerability of the Yangtze River Delta region is up as a whole, the vast majority of the regions are middle and high fragility, and the lower vulnerability is only scattered in the middle and northeast of Zhejiang. The area of equal risk has more area expansion, low risk and lower risk areas are mainly distributed in northern Jiangsu and southern Zhejiang. Under the 100 year rainstorm disaster scenario, the vulnerability of the Yangtze River Delta region continues to rise, with a large number of high vulnerability areas, only a small number of moderately fragile areas, and the original high risk area north. Faster development, while southern Zhejiang has relatively stable low risk and low risk areas.
(9) under the storm surge disaster of 10 years, the coastal areas of the Yangtze River Delta are generally low and low, and the risk level is not high generally. Under the storm tide disaster of 50 years, the coastal areas of the Yangtze River Delta are in medium vulnerability, and the region with high vulnerability increases obviously. Under the storm tide disaster of 100 years, most of the counties (municipal districts) in the coastal areas of the Yangtze River Delta are prone to high risk, at the middle and high risk level, the high risk areas and the higher risk areas continue to expand, with only a small amount of regional risk in the northern and northern coastal areas. It is lower.
(10) under the ten early disaster situation of 10 years, there is no high vulnerability area in the whole Yangtze River Delta region. A small number of low vulnerability regions mainly occur in Northern Jiangsu, central Zhejiang and Zhoushan. The high risk areas are mainly concentrated in the central region of the Yangtze River Delta, and the lowest risk area is located in the southern part of Zhejiang. The recurrence period is 50 years. Under the situation of drought disaster, a certain number of high fragile counties (municipal districts) have appeared in the middle and northern parts of the Yangtze River Delta. The lower vulnerability region is only two of Dongyang and Jinhua in Zhejiang, and the area of high risk area in the middle of the Yangtze River Delta is enlarged. In the drought disaster situation of 100 years, most counties (municipal districts) are droughts. With high vulnerability, there are no areas with relatively low vulnerability and low risk areas. In addition to the relatively low overall risk level in the western and southern parts of Zhejiang, the rest of the region are at a middle and high risk level.
【学位授予单位】:华东师范大学
【学位级别】:博士
【学位授予年份】:2013
【分类号】:X43
【参考文献】
相关期刊论文 前10条
1 徐霞,王静爱,王文宇;自然灾害案例数据库的建立与应用——以中国1998年洪水灾害案例数据库为例[J];北京师范大学学报(自然科学版);2000年02期
2 王静爱,史培军,,朱骊,陈晋,张远明,王平;中国自然灾害数据库的建立与应用[J];北京师范大学学报(自然科学版);1995年01期
3 滕五晓;;城市灾害应急预案基本要素探讨[J];城市发展研究;2006年01期
4 彭颖霞;何贞铭;占辽芳;廖野翔;李若瑶;;基于GIS的省级地质灾害数据库设计与实现[J];测绘与空间地理信息;2011年03期
5 许武成,马劲松,杨霞;洪水等级的三种划分方法[J];东北水利水电;2003年12期
6 樊隽轩;迟昭利;陈峰;陈清;;元数据标准及其在古生物数据库中的应用[J];地层学杂志;2009年04期
7 石勇;许世远;石纯;孙阿丽;王军;;洪水灾害脆弱性研究进展[J];地理科学进展;2009年01期
8 李军,周成虎;地球空间数据元数据标准初探[J];地理科学进展;1998年04期
9 李谢辉;王磊;谭灵芝;郑奕5;;渭河下游河流沿线区域洪水灾害风险评价[J];地理科学;2009年05期
10 唐川,朱静;基于GIS的山洪灾害风险区划[J];地理学报;2005年01期
相关会议论文 前1条
1 李刚;许倩英;刘惠瑾;;城市抗震防灾规划元数据标准研究——基础设施元数据模型[A];城市规划和科学发展——2009中国城市规划年会论文集[C];2009年
相关博士学位论文 前9条
1 殷杰;中国沿海台风风暴潮灾害风险评估研究[D];华东师范大学;2011年
2 叶明武;沿海台风风暴潮灾害复合情景模拟与应急避难研究-以上海为例[D];华东师范大学;2011年
3 刘东琴;地理实体数据库构建研究[D];山东科技大学;2010年
4 孟宪学;中国农业科技数据库系统建设研究[D];中国农业科学院;2002年
5 白景昌;基于遥感与地理信息系统的洪灾风险区划研究[D];中国科学院研究生院(遥感应用研究所);2004年
6 罗元华;泥石流堆积数值模拟及泥石流灾害风险评估方法研究[D];中国地质大学;1998年
7 尹占娥;城市自然灾害风险评估与实证研究[D];华东师范大学;2009年
8 权瑞松;典型沿海城市暴雨内涝灾害风险评估研究[D];华东师范大学;2012年
9 谭丽荣;中国沿海地区风暴潮灾害综合脆弱性评估[D];华东师范大学;2012年
相关硕士学位论文 前4条
1 孙阿丽;基于情景模拟的城市暴雨内涝风险评估[D];华东师范大学;2011年
2 张博;基于ArcGIS的府谷县地质灾害数据库建立及易发区评价研究[D];长安大学;2009年
3 常捷;地震元数据标准及管理构建研究[D];南京理工大学;2010年
4 谢翠娜;上海沿海地区台风风暴潮灾害情景模拟及风险评估[D];华东师范大学;2010年
本文编号:2121867
本文链接:https://www.wllwen.com/kejilunwen/anquangongcheng/2121867.html