In China, estuarine and coastal cities are mostly regional economic development centers. The disasters by combined effect of upper reach flood, storm surge and typhoon waves are primary obstacles to the economic devel...In China, estuarine and coastal cities are mostly regional economic development centers. The disasters by combined effect of upper reach flood, storm surge and typhoon waves are primary obstacles to the economic development of such cities. Thus the risk analysis and system analysis of flood-storm surge-wave disaster, economic loss and flood-storm surge control measures play a very important role in the sustainable development of coastal cities. There are three types of coastal cities for consideration. The first type of city is like Tianjin. The most significant damage is from the upper reach flood. The effect of storm surge is negligible, because in the estuary of the Haihe River, tidal locks are built. The Grey Markov Model (GMM) is used to forecast the flood peak level GMM combines the Grey system and the Markov theory into a high-precision model The predicted flood peak levels are close to the measured data. A synthetic model is established for economic assessment, risk analysis and flood-control benefit estimation As a new contribution, a stochastic simulation technique is used to compute risk probability. At the same time, consideration is given to the effect of correlation between variables on risk probability. The second type of city is like Shanghai, where sometimes the combined effect of river flood peak and set storm surge is the most severe disaster. The water level of a 1000 yr. return period of the Huangpu river is used as the design criterion. The simulated combined water level of flood peak, storm surge and maximum astronomical tidal level of a 400 yr. return period is close to the conventional design water level of a return period of 1000 years. The third type of city is Like Qingdao, where the combined effect of the maximum astronomical tide, storm surge and waves bring about the most significant damage. With the stochastic simulation technique, different combinations of storm surge and waves at the 1% and 2% joint probability level are simulated for disaster prevention.展开更多
The accurate prediction of the typhoon （hurricane） induced extreme sea environments is very important for the coastal structure design in areas influenced by typhoon （hurricane）. In 2005 Hurricane Katrina brought ...The accurate prediction of the typhoon （hurricane） induced extreme sea environments is very important for the coastal structure design in areas influenced by typhoon （hurricane）. In 2005 Hurricane Katrina brought a severe catastrophe in New Orleans by combined effects of hurricane induced extreme sea environments and upper flood of the Mississippi River. Like the New Orleans City, Shanghai is located at the estuarine area of the Changjiang River and the combined effect of typhoon induced extreme sea en- vironments, flood peak runoff from the Changjiang River coupled with the spring tide is the dominate factor for disaster prevention design criteria. The Poisson-nested logistic trivariate compound extreme value distribution （PNLTCEYD） is a new type of joint probability model which is proposed by compounding a discrete distribution （typhoon occurring frequency） into a continuous multivariate joint distribution （ typhoon induced extreme events）. The new model gives more reasonable predicted results for New Orleans and Shanghai disaster prevention design criteria.展开更多
文摘In China, estuarine and coastal cities are mostly regional economic development centers. The disasters by combined effect of upper reach flood, storm surge and typhoon waves are primary obstacles to the economic development of such cities. Thus the risk analysis and system analysis of flood-storm surge-wave disaster, economic loss and flood-storm surge control measures play a very important role in the sustainable development of coastal cities. There are three types of coastal cities for consideration. The first type of city is like Tianjin. The most significant damage is from the upper reach flood. The effect of storm surge is negligible, because in the estuary of the Haihe River, tidal locks are built. The Grey Markov Model (GMM) is used to forecast the flood peak level GMM combines the Grey system and the Markov theory into a high-precision model The predicted flood peak levels are close to the measured data. A synthetic model is established for economic assessment, risk analysis and flood-control benefit estimation As a new contribution, a stochastic simulation technique is used to compute risk probability. At the same time, consideration is given to the effect of correlation between variables on risk probability. The second type of city is like Shanghai, where sometimes the combined effect of river flood peak and set storm surge is the most severe disaster. The water level of a 1000 yr. return period of the Huangpu river is used as the design criterion. The simulated combined water level of flood peak, storm surge and maximum astronomical tidal level of a 400 yr. return period is close to the conventional design water level of a return period of 1000 years. The third type of city is Like Qingdao, where the combined effect of the maximum astronomical tide, storm surge and waves bring about the most significant damage. With the stochastic simulation technique, different combinations of storm surge and waves at the 1% and 2% joint probability level are simulated for disaster prevention.
基金supported by the National Natural Science Foundation of China under contract No.50379051.
文摘The accurate prediction of the typhoon （hurricane） induced extreme sea environments is very important for the coastal structure design in areas influenced by typhoon （hurricane）. In 2005 Hurricane Katrina brought a severe catastrophe in New Orleans by combined effects of hurricane induced extreme sea environments and upper flood of the Mississippi River. Like the New Orleans City, Shanghai is located at the estuarine area of the Changjiang River and the combined effect of typhoon induced extreme sea en- vironments, flood peak runoff from the Changjiang River coupled with the spring tide is the dominate factor for disaster prevention design criteria. The Poisson-nested logistic trivariate compound extreme value distribution （PNLTCEYD） is a new type of joint probability model which is proposed by compounding a discrete distribution （typhoon occurring frequency） into a continuous multivariate joint distribution （ typhoon induced extreme events）. The new model gives more reasonable predicted results for New Orleans and Shanghai disaster prevention design criteria.
