...
首页> 外文期刊>Annals of Agrarian Science >Spatial and temporal variations of rainfall-runoff erosivity (R) factor in Kakheti, Georgia
【24h】

Spatial and temporal variations of rainfall-runoff erosivity (R) factor in Kakheti, Georgia

机译:佐治亚州Kakheti降雨径流侵蚀力(R)因子的时空变化

获取原文
           

摘要

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.
机译:水土流失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。降雨的侵蚀力由降雨侵蚀力因子(R因子)解释。降雨侵蚀力(R因子)本身是土壤侵蚀模型中非常重要的因素。 R因子是降雨动能和降雨强度的乘积。降雨强度变化是气候变化的主要指标之一。作为造成土壤侵蚀的主要因素之一,它对农业具有重大影响。具有良好的时空覆盖范围的降雨侵蚀力信息很少。准确估计降雨侵蚀力需要连续的降雨数据。由于世界上许多地方仍没有可用的详细降雨强度数据,因此已进行了许多研究,以根据可用的降雨数据估算R因子。科学文献中引用了几种替代方法。这项研究的目的是评估佐治亚州东部卡赫提三个研究时期(1936–1962; 1963–1989; 1990–2016)的降雨侵蚀力的时间和空间分布,并计算年平均降雨侵蚀力。就卡赫季州而言,降雨的频率和强度是农业角度上非常重要的因素。我们的研究使用现代研究方法,对卡赫赫提五个气象站(Telavi,Gurjaani,Sagarejo,Dedoplistskaro和Lagodekhi)进行了降雨侵蚀力潜力评估。根据文献和气象台站的记录,确定了卡赫季州每个气象站的降雨侵蚀力潜力。然后,通过选择的方法(对于每种方法分别)确定相同的因素,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。在研究过程中使用的三种方法中,最后使用Loureiro&Cautinho的方法评估了三个研究期间的降雨侵蚀力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号