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The effect of climate change on Korean drought occurrences using a stochastic soil water balance model

机译:使用随机土壤水平衡模型的气候变化对韩国干旱发生的影响

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In this study, the effect of climate change on drought occurrence is modeled using a conceptual soil water model and results from the model are analyzed. Future climatic data are prepared by applying climate information drawn by four global climate models in accordance with greenhouse gas emission scenarios A2, A1B and B2 to the spatio-temporal changing factor method which is a relatively simple statistical downscaling method to downscale the climate information to 60 meteorological observation points in Korea. Using a conceptual soil water model that can simulate temporal evolution of the soil water probability density function, changes in the soil water probability density function relative to climate changes are analyzed. Based on these changes in the probability density function, we can see that drought will occur more frequently in Korea in future. Since drought is not an absolute quantitative concept but is a spatiotemporally relative concept and is not an average event in terms of probability, it will be more realistic to define it as an extreme event with a low probability to occur at a site during a period and from this viewpoint, the quantile comparison method (that is, comparing the non-exceedance probability of drought occurrence of now with that of the future based on the reference soil water) applied in this study is expected to be appropriately applicable to the evaluation of the effects of extreme hydrologic events.
机译:在这项研究中,使用概念性土壤水模型模拟了气候变化对干旱发生的影响,并分析了模型的结果。通过将根据温室气体排放情景A2,A1B和B2的四种全球气候模型得出的气候信息应用到时空变化因子方法(这是一种相对简单的统计缩减方法)将气候信息缩减到60来准备未来的气候数据。韩国的气象观测点。使用可以模拟土壤水分概率密度函数随时间变化的概念性土壤水分模型,分析了土壤水分概率密度函数相对于气候变化的变化。基于概率密度函数的这些变化,我们可以看到未来韩国的干旱将会更加频繁。由于干旱不是绝对的定量概念,而是时空上相对的概念,不是概率上的平均事件,将干旱定义为在一定时期内发生在某个地点的概率很小的极端事件将更为现实。从这个角度来看,本研究中采用的分位数比较方法(即根据参考土壤水比较现在和将来的干旱发生的超额概率)有望适当地应用于对干旱的评估。极端水文事件的影响。

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