格鲁吉亚Kakheti地区降雨-径流侵蚀力(R)因子的时空变化

M. Tsitsagi , A. Berdzenishvili , M. Gugeshashvili
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引用次数: 14

摘要

土壤侵蚀是一个非常复杂的过程。降雨侵蚀力是影响土壤侵蚀的主要因素之一。降水的侵蚀力由降雨侵蚀力因子(r因子)决定。降雨侵蚀力(r因子)本身是土壤侵蚀模型中一个非常重要的因子。r因子是降雨动能与降雨强度的乘积。降雨强度变化是气候变化的主要指标之一。它是造成水土流失的主要因素之一,对农业的影响很大。降雨侵蚀力的资料很少有良好的时空覆盖。准确估计降雨侵蚀力需要连续的降雨数据。由于世界上许多地区仍然没有详细的降雨强度数据,因此进行了许多研究,以根据现有的降雨数据估计r因子。科学文献中引用了几种替代方法。本研究旨在评估降雨侵蚀力的时空分布,并计算三个研究期(1936-1962年)的年平均降雨侵蚀力;1963 - 1989;1990年至2016年)在格鲁吉亚东部的Kakheti。由于Kakheti是农业区,降雨的频率和强度对农业来说是非常重要的因素。本研究利用现代研究方法对Kakheti的5个气象站(Telavi、Gurjaani、Sagarejo、Dedoplistskaro和Lagodekhi)的降雨侵蚀力潜力进行了评估。根据文献资料和气象站记录,确定了卡赫蒂地区各气象站的降雨侵蚀力潜力。然后通过所选方法确定相同的因素(每种方法单独),并比较结果,这使我们能够确定特定方法对研究区域的有效性。从研究过程中使用的三种方法来看,方法由Loureiro &;最后用Cautinho法评价了三个研究期的降雨侵蚀力。
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Spatial and temporal variations of rainfall-runoff erosivity (R) factor in Kakheti, Georgia

Soil erosion is a very complicated process. Rainfall erosivity is one of the main factors affecting on soil erosion. The erosive power of precipitation is accounted for by the rainfall erosivity factor (R-factor). Rainfall erosivity (R-factor) itself is a very important factor in soil erosion modeling. R-factor is a product of rainfall kinetic energy and rainfall intensity. Rainfall intensity change is one of the main indicators of climate change. It has a great influence on agriculture as one of the main factors causing soil erosion. Information of rainfall erosivity is rarely available with good spatial and temporal coverage. Accurate estimation of rainfall erosivity requires continuous rainfall data. Because many parts of the world still do not have detailed rainfall intensity data available, many studies have been performed to estimate R-factor based on available rainfall data. There are several alternative methods cited in science literature. This study aims to evaluate the temporal as well as the spatial distribution of rainfall erosivity and to calculate average annual rainfall erosivity for three study periods (1936–1962; 1963–1989; 1990–2016) in Kakheti, east Georgia. As far as Kakheti is the agrarian region, frequency and intensity of the rain are very important factors in agriculture point of view. Our study provides the assessment of rainfall erosivity potential with use of modern research methods for five weather stations (Telavi, Gurjaani, Sagarejo, Dedoplistskaro and Lagodekhi) in Kakheti. Rainfall erosivity potential was determined for every weather stations in Kakheti region from literature and records from meteorological stations. Then the same factor was determined by the selected methods (for each method separately), and the outcomes was compared, which allows us to determine the validity of a particular method for the study area. From the three methods used in the study process, method by Loureiro & Cautinho was finally used for the assessment rainfall erosivity during three study periods.

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