地形形态对乌克兰喀尔巴阡山脉气温分布的影响

A. Mkrtchian, I. Kovalchuk
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引用次数: 0

摘要

乌克兰喀尔巴阡山脉和其他山区一样,容易受到现代气候变化的影响,主要表现在气候加速变暖。在不同的尺度上,地形对温度分布的影响主要有几种机制。众所周知的和普遍观测到的随高程冷却仍然经常被用作地形与温度状态关系的过度简化模型,然而,还有其他重要的地形效应与地形特征的位置有关,这些地形特征分别与入射太阳辐射角和气团的大尺度运动有关。在乌克兰喀尔巴阡山脉,这些影响主要表现在西南大斜坡上更温和、更少大陆性的条件下,由于更大的太阳辐射摄入,该斜坡也更温暖。温度分布的另一个重要因素是近地逆温的形成,这种逆温经常出现在狭窄的山谷和山间槽中。利用热红外波段的空间影像可以有效地实现地表温度的制图;在我们的案例中,Landsat 8图像可以获得一年中三个不同季节Bystrytsia河流域温度分布的详细地图。利用栅格包和R软件环境的适当功能,分析了温度与一组形态测量参数之间的关系。在这三种情况下,海拔与温度之间都显示出较强的负相关关系。坡度和温度之间的直接关系尚未得到证实,而图像日期和时间的潜在太阳辐射值似乎对温度有中等影响,其影响因季节而异。关键词:山地气候;喀尔巴阡山;地形形态;温度梯度;空间分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TERRAIN MORPHOLOGY AS FACTOR OF LOCAL TEMPERATURES DISTRIBUTION IN UKRAINIAN CARPATHIANS
Ukrainian Carpathians like other mountainous areas are susceptible to the modern climate changes manifested mainly in accelerated warming. There are several main mechanisms of the orographic effects on temperature distribution, operating on different scales. The well-known and universally observed cooling with elevation is still often used as an over-simplified model of terrain relation to temperature regime, yet there are other significant orographic effects connected with the position of terrain features respective to incoming solar radiation angle and the large-scale movements of air masses. In Ukrainian Carpathians these effects are manifested mainly in more mild and less continental conditions on south-western macroslope that is also warmer due to larger solar radiation intake. Another important factor of temperature distribution is the formation of near-ground temperature inversions that often emerge in narrow valleys and inter-mountain troughs. The mapping of land surface temperatures can be effectively achieved by applying spatial imagery with thermal infrared bands; in our case, Landsat 8 images allowed to obtain detailed maps of temperature distribution in Bystrytsia river basin for three different seasons of the year. An analysis has been performed of relationships between temperatures and a set of morphometric parameters, by means of raster package and appropriate functions of R software environment. Rather strong negative relationship between elevation and temperature has been revealed in all the three cases. Direct relationship between slope and temperature was not confirmed, while potential incoming solar radiation values for the date and time of the imagery appeared to have a moderate effect on temperature, its effect varying from season to season. Key words: mountain climate; Carpathians; terrain morphology; temperature gradient; spatial analysis.
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