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Spatial analysis of precipitation intensity and concentration in Iran

机译:伊朗降水强度和浓度的空间分析

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摘要

Understanding rainfall variability in the arid, rugged landscapes of Iran requires studying the climatology and spatial patterns of daily precipitation. This paper applies geostatistical and other methods to daily precipitation data from 90 stations that are distributed across Iran to calculate daily rainfall concentration and intensity and map their spatial distribution. The results show that daily precipitation tends to be irregular and intense across much of Iran and that a disproportionately large share of the annual rainfall comes from a small number of high intensity to extreme rainfall events. Analysis of daily rainfall concentration confirms that extreme events are widely distributed across the country, with more than 20% of the land area exposed to the risk of extreme rainfall. The areas experiencing the most frequent extreme events are the hot, dry southern coast and the western slopes of the main north-south range, the Zagros Mountains. Even the wettest parts of the country along the Caspian Sea coast derive a significant amount of their rain from high intensity and extreme events. A cross-validation analysis supports the reliability and accuracy of the geostatistical modeling.
机译:要了解伊朗干旱,崎landscape不平的景观中的降雨变化性,就需要研究每日降水的气候和空间格局。本文将地质统计学和其他方法应用于分布在伊朗的90个气象站的日降水量数据,以计算日降水量浓度和强度并绘制其空间分布图。结果表明,伊朗大部分地区的日降水量趋于不规则且密集,并且年降水量中不成比例的大部分来自少量的高强度到极端降雨事件。对每日降雨集中度的分析证实,极端事件在全国范围内分布广泛,超过20%的土地面积面临极端降雨的风险。经历最频繁的极端事件的地区是炎热干燥的南部海岸和主要南北范围的扎格罗斯山脉的西坡。即使是里海沿岸最潮湿的地区,也由于高强度和极端事件而大量降雨。交叉验证分析支持地统计建模的可靠性和准确性。

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