国际标准期刊号: 2157-7617

地球科学与气候变化杂志

开放获取

我们集团组织了 3000 多个全球系列会议 每年在美国、欧洲和美国举办的活动亚洲得到 1000 多个科学协会的支持 并出版了 700+ 开放获取期刊包含超过50000名知名人士、知名科学家担任编委会成员。

开放获取期刊获得更多读者和引用
700 种期刊 15,000,000 名读者 每份期刊 获得 25,000 多名读者

索引于
  • CAS 来源索引 (CASSI)
  • 哥白尼索引
  • 谷歌学术
  • 夏尔巴·罗密欧
  • 在线访问环境研究 (OARE)
  • 打开 J 门
  • Genamics 期刊搜索
  • 期刊目录
  • 乌尔里希的期刊目录
  • 访问全球在线农业研究 (AGORA)
  • 国际农业与生物科学中心 (CABI)
  • 参考搜索
  • 哈姆达大学
  • 亚利桑那州EBSCO
  • OCLC-世界猫
  • 普罗奎斯特传票
  • SWB 在线目录
  • 普布隆斯
  • 欧洲酒吧
  • ICMJE
分享此页面

抽象的

Precipitation and Temperature Trend Analysis in Mekelle city, Northern Ethiopia, the Case of Illala Meteorological Station

Awetahegn Niguse Beyene*

Climate change has a significant impact on the environment as well as the social, economic. Tigray is one of the sensitive regions to climate variation particularly to precipitation and rainfall changes. In this study, we analysis trends in precipitation and temperature at annual, seasonal and monthly time scales for the periods of 1995-2014 for the Illala station which is located in Mekelle Agricultural research center, Tigray region. Instat+ software were used for analyzing the statistics as well as the excel spreadsheet and we were use the Non-parametric tests (such as Mann- Kendall and Sen’s Slope), linear regression, cumulative deviation curve techniques were used to determine climatic trends. The mean minimum temperature ranges between 10.2°C and 12.6°C, while, the mean maximum temperature varies between 22.3°C and 26.7°C From the analysis the monthly coefficient of variation (CV%) for both maximum and minimum temperature ranging from (6.9% in Oct) to (18.7% in Dec) for the average monthly rainfall ranging from 4.9% to 26% of coefficient of variation. from the analysis we were found that the monthly trend of precipitation which were May, June and July have an decreasing trend. While the both maximum and minimum temperature were found on the months of June, September and December the climate trend results showed that there is no negative or positive statistically significant trend in the study area, despite of slight precipitation decrease in the area. The period of 1995-2014. Which are not statistically significant annually and seasonally temperature data showed slight increase annually even though results are not statistically significant during the period of 1995-2014.