阿塞拜疆兰卡兰地区周期性降水分布原因及降水长期预报

IF 0.8 Q4 WATER RESOURCES
A. S. Mammadov, R. Rajabov, N. Hasanova
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引用次数: 2

摘要

不规则的降雨分布正受到相当大的关注。一个地区的降雨量可达500-600毫米,有时可达1000毫米。例如,1985年,阿塞拜疆的扎格塔拉的降雨量为716毫米,而1988年、2004年和2008年的降雨量分别为1151毫米、1306毫米和661毫米。在兰卡兰,1982年测得2061毫米,1999年测得470毫米。一般来说,降雨分布在阿塞拜疆共和国不同。在这项研究中,这种变化的物理方面得到了澄清。据此,分析了大气的运动速度与地球自转的关系,发现降水分布在时间结构上的差异与大气运动方向的变化有关。一般来说,大气运动的原因不能确定为地球的自转运动,主要是因为两种环境表现出不同的活动。虽然大气中发生的过程受压力梯度的影响经常发生变化,但地球的自转运动更为平稳。并对兰卡兰地区的降雨预报方法进行了评价。考虑到其简单性,我们使用了Shuster方法。观测数据分为平稳元素和随机元素。期刊的选择是通过将长期气象资料分解为调和函数来确定的。通过接受变异,增加了休闲系数项。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Causes of periodical rainfall distribution and long-term forecast of precipitation for Lankaran, Azerbaijan
Irregular rainfall distribution is receiving considerable attention. The amount of rainfall for one region can account for 500-600 mm, sometimes 1000 mm. For example, in the year 1985, Zagtala in Azerbaijan received 716 mm of rainfall, while in 1988, 2004 and 2008 − 1 151, 1 306 and 661 mm, respectively, were measured. In Lankaran 2 061 mm were measured in 1982 and 470 mm in 1999. Generally, rainfall distribution differs across the Republic of Azerbaijan. In this study, the physical side of such variations was clarified. In relation to that, the movement speed of the atmosphere in regard of the rotation of the Earth was analyzed, showing that the difference in rainfall distribution, according to the time structure, is connected to the direction change of the atmospheric movement. Generally, the reasons for atmospheric movements cannot be identified as the rotation movement of the earth, mainly because both environments show different activities. While the processes happening in the atmosphere often change, influenced by the pressure gradient, the rotation movement of the earth is more stationary. We also evaluated the rainfall forecast method for the region Lankaran. Taking into account its simplicity, the Shuster method was used. Observation data was divided into stationary and casual elements. Selection of periodicals was determined by separation of long term meteorological data into harmonic functions. By accepting the variation, the coefficient casual item was added.
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