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首页> 外文期刊>WSEAS Transactions on Environment and Development >Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevation
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Evaluation of space-time dynamics in extreme precipitation frequency using geostatistical cosimulation with elevation

机译:地统计学与高程的协同模拟评估极端降水频率下的时空动力学

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摘要

This study evaluates local dynamics in extreme precipitation frequency from 1940 to 1999 in the South of Portugal. The analysis is based on a climate index defined by the annual count of days with precipitation above the 30 mm threshold (R30mm). The space-time scenarios of this index, and their uncertainty evaluation, were produced through direct sequential cosimulation (coDSS) with elevation. The methodology incorporates space-time models that follow the premises that elevation and precipitation extremes may interact differently both in time and space. The results indicate that the relationship between elevation and the R30mm index has decreased through time over the study region, especially in the southeast area. Furthermore, the spatial patterns of the extreme precipitation index have become more homogenous during the last decades of the twentieth century. The more frequent heavy rainfall events occur in the mountainous areas of the South, which are desertification prone areas at risk of water erosion and floods. As expected, the space-time scenarios have greater spatial variability at regions less densely sampled. However, the uncertainty in mountainous regions is noticeably small given that elevation was used as secondary exhaustive information. The coDSS proved to be a valuable tool to deepen the knowledge on the local dynamics of the extreme precipitation frequency.
机译:这项研究评估了葡萄牙南部从1940年到1999年极端降水频率的局部动力学。该分析基于气候指数,该指数由降水量高于30毫米阈值(R30mm)的年天数定义。该指数的时空情境及其不确定性评估是通过与海拔高度直接进行直接协同模拟(coDSS)得出的。该方法结合了时空模型,这些模型遵循以下假设:海拔高度和降水极端值可能在时间和空间上相互作用不同。结果表明,在整个研究区域,特别是在东南地区,海拔高度与R30mm指数之间的关系随着时间的推移而减小。此外,在二十世纪的最后几十年中,极端降水指数的空间格局变得更加同质。南部山区是更频繁发生的强降雨事件,这是易于发生水土流失和洪水的沙漠化地区。不出所料,时空场景在采样密度较低的区域具有较大的空间变异性。但是,考虑到海拔被用作次要的详尽信息,山区的不确定性很小。事实证明,coDSS是加深关于极端降水频率局部动力学知识的宝贵工具。

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