基于Palmer旱度模式的四湖流域旱澇急轉(zhuǎn)特征分析
[Abstract]:Under the influence of global climate change, the change of underlying surface conditions and violent human activities, the rapid transition events of drought and flood in China show a widespread and frequent trend, which seriously threatens the water security and food security of our country, and has become a new trend of flood and drought disasters in our country. In this paper, based on the daily meteorological data of Jingzhou Station from 1956 to 2013 and the soil moisture data of 1960 ~ 1962 and 1981 / 2002 (a total of 25 years), the Palmer drought degree model which can identify the rapid rotation of drought and flood is established, and then three characteristic variables of early waterlogging and rapid transition events are separated from the Palmer index by using run distance theory, and then the joint probability distribution of two variables and the joint distribution of three variables are constructed by using Archimedean Copula function, and the corresponding conditional probability and combination recurrence period are calculated. In order to provide a certain basis for the prevention and control of alternate disasters of drought and waterlogging in the area. In this paper, the main conclusions are as follows: (1) the Palmer drought model based on PMDI sequence is used to identify the drought and waterlogging, and the Palmer drought model is modified on the basis of the original drought index. The modified Palmer drought model is more accurate and comprehensive in describing the phenomenon of drought and waterlogging, and the PMDI index has a clear physical significance, not only considering a variety of meteorological factors, but also taking into account the soil moisture factors. At the same time, considering the influence of water status in the early stage, it has the comparability of time and space. (2) the frequency of light drought to light waterlogging is the highest, accounting for half of all drought-to-waterlogging events, followed by medium drought to light waterlogging and light drought to waterlogging, accounting for 18.00% and 12.99%, respectively, and the lowest frequency of heavy drought to heavy waterlogging, which is only 0.59%; The frequency of light waterlogging to light drought is the highest, accounting for 48.34% of all waterlogging to drought events, followed by moderate waterlogging to light drought and light waterlogging to moderate drought, accounting for 18.58% and 12.43%, respectively. The frequency of heavy drought to heavy waterlogging is the lowest, which is only 0.68%. (3) as a random hydrological event, the characteristic variables of drought and waterlogging are dependent. The fitting accuracy of the joint distribution of two variables and the joint distribution of three variables constructed by GH Copula function is satisfactory. Based on GH Copula function, the two-dimensional conditional probability and multivariable combination recurrence period of three characteristic variables of drought and waterlogging are obtained, which can provide the basis for regional water conservancy project planning and risk assessment.
【學(xué)位授予單位】:武漢大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:P426.616;P458.121
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