Statistical analysis of soil moisture content changes in Central Europe using GLDAS database over three past decades

J. Zawadzki, Mateusz Kedzior
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引用次数: 25

Abstract

This paper examine soil moisture trends changes in inhomogeneous area of Central European countries — Poland, the Czech Republic and neighbouring territories. The area suffered from the lack of large-scale soil parameters research. Most of them are limited to ground measurements performed for a small part of land. Although there were extensive water conditions studies performed for the whole Europe, such as drought analysis, they were focused on Western European countries, neglecting situation in Central Europe (taking exception to Austria). The NOAH model of Global Land Data Assimilation System database has been used as a data source. It delivers one degree spatial resolution data and variables which describe soil moisture values for four depth levels (0–10 cm, 10–40 cm, 40–100 cm and 100–200 cm). Data covering years 1979–2011 has been averaged in order to analyse summer and winter terms separately. Descriptive statistics and regression analysis have been prepared on the software Statistica, Research reveals that area is losing water content. Due to promising results of water content trend analysis, the authors plan to run a large-scale analysis using other variables from the GLDAS database, especially concerning soil temperature and evapotranspiration.
利用GLDAS数据库近30年中欧土壤水分变化的统计分析
本文研究了中欧国家波兰、捷克共和国及其邻近地区非均质地区土壤水分的趋势变化。该地区缺乏大规模的土壤参数研究。其中大多数仅限于对一小部分土地进行地面测量。虽然对整个欧洲进行了广泛的水情研究,例如干旱分析,但这些研究的重点是西欧国家,而忽略了中欧的情况(奥地利除外)。本文采用全球土地数据同化系统数据库NOAH模型作为数据源。它提供了一个度的空间分辨率数据和变量,描述了四个深度水平(0-10厘米,10-40厘米,40-100厘米和100-200厘米)的土壤湿度值。为了分别分析夏季和冬季,对1979-2011年的数据进行了平均。在Statistica软件上进行了描述性统计和回归分析,研究表明该地区的含水量正在减少。由于含水量趋势分析的结果令人满意,作者计划利用GLDAS数据库中的其他变量,特别是土壤温度和蒸散发进行大规模分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Central European Journal of Geosciences
Central European Journal of Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
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