首页> 外文期刊>Environment and Ecology >Identifying Best Probability Distribution for Events of Maximum Rainfall-A Case Study of Karnal, Haryana
【24h】

Identifying Best Probability Distribution for Events of Maximum Rainfall-A Case Study of Karnal, Haryana

机译:确定最大降雨事件的最佳概率分布 - 以哈里亚纳纳的喀喇族为例

获取原文
获取原文并翻译 | 示例
       

摘要

The present study has been undertaken to fit best probability distribution of rainfall of Karnal District representing eastern climatic zone of Haryana state. For the purpose, daily rainfall data of 47 years was analyzed and processed to identify themaximum rainfall received on daily, monthly, seasonal and annual basis. The analysis showed that the maximum daily rainfall among the years ranged between 38 mm (1980) to 229 mm (2009) indicating a very large variation during the period of study. The standard deviation and coefficient of variation were also computed. Different goodness of fit tests were carried out to select the best fit probability distribution on the basis of highest rank with minimum value of test statistic. The probability distribution was identified using maximum overall score based on sum of individual point score obtained from different selected good-ness of fit tests. Generalized extreme value distribution was found to be best fit probability distribution for most of the periods. The results clearly established that the analytical procedure devised and tested in this study may be suitability appliedfor the identification of the best fit probability distribution of weather parameters.
机译:本研究已经采取了代表哈里亚纳邦东部气候区的Karnal区降雨的最佳概率分布。为此目的,分析了47年的每日降雨数据,并加工以确定每日,每月,季节性和年度收到的明显降雨。该分析表明,多年的最大日降雨量在38毫米(1980)至229毫米(2009)之间,表明在研究期间具有非常大的变化。还计算了标准偏差和变异系数。进行了不同的拟合测试,以基于最低值的测试统计值选择最佳拟合概率分布。基于从不同选定的拟合测试的不同选择的优点获得的单独点分数之和,使用最大总分数识别概率分布。发现广义极值分布是大部分时间的最佳概率分布。结果明确确定,在本研究中设计和测试的分析程序可能适用于识别天气参数最佳拟合概率分布的适用性。

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