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中文摘要：
基于多灾种复合动态风险评估理论,依据滨海新区2020年人口规划、土地利用规划以及社会经济发展计划,根据地面沉降和海平面上升预测结果设计了最不利、适中和最理想化三种情景;在此基础上,自行开发了基于GIS的洪水淹没区计算模块,模拟计算不同重现期暴雨内涝的淹没范围、淹没深度及淹没损失。结果表明：2020年,发生1 000 a一遇、200 a一遇和50 a一遇暴雨时,在最不利的情景一下：天津市滨海新区分别将有32.73%,29.34%和26.01%的土地不同程度受淹,受淹人口分别为338万、305万和264万,淹没损失分别达220.89亿元、181.39亿元和139.12亿元。
英文摘要：
Natural disaster is the hotspot question in international society and academy. Coastal cities are impor- tant areas and strategic focus of people convergence, national economy and society development. However, natural disasters occur easily and frequently in these areas. Tianjin Binhai New Area （TBNA） lies in the center of the Bohai Rim Region. Following the Shenzhen Special Economic Zone and Pudong New Area, TBNA be- comes a new polarization of economic development which drives regional growth. Affected by physical-geo- graphical conditions and human activities, however, TBNA is one of the areas where the loss from natural di- sasters is huge and fatal in the coastal areas in China. In view of the main causing factor, the numerical model of land subsidence was established. With three groundwater extraction scenarios, the computer program was compiled to predict the land subsidence in the process of dynamic changes of groundwater level. Based on the complex dynamic multi-hazard risk assessment theory, in accordance with population planning, land use plan- ning and socio-economic development plan of TBNA, and according to prediction of land subsidence and sea level rise, three scenarios were designed, that was the most unfavorable, moderate, and the most ideal scenari- os. Pearson-III distribution method was used to calculate intensity of the different frequency＇s maximum rain- storms in 24 hours by rainstorm data of the past 40 years at 14 hydrological stations in TBNA and its nearby re- gions. Inverse distance weight and Disjunctive Kriging method were respectively employed to interpolate the different frequency＇ s maximum rainstorms in 24 hours. The calculation model of flood submerged area was therefore established by GIS. The submerged area and depth were calculated by the module of ＂non-source flood＂. On the basis of the loss rate of different submerged depth, the submerged loss was gained. The results showed that, by 2020, under Scenario 1, the submerged area is 32.73%, 29.34% and 26.01%; inunda
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