伊拉克选定站点雨季干旱指数的计算和气候类型的确定

Jawdet Hidayat Mohammed
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引用次数: 0

摘要

本研究旨在应用de Martine方程计算干旱指数,并利用巴格达“伊拉克气象组织和地震学”记录的1970年至2010年期间(降雨量和温度)的数据,确定伊拉克三个选定台站(摩苏尔、巴格达和纳西里耶)雨季的气候类型。结果表明,气候在月份(12月和1月)是湿润的,在月份(2月、3月、4月和11月)是在(湿润和半干旱)之间变化的,而在月份(5月和10月),由于三个研究站雨季的(降雨量和温度)值的变化,气候在(半干旱和干旱)之间是可变的。本研究通过计算相关系数,揭示了干旱指数值与降雨量和气温的关系,结果表明,干旱指数与降雨量之间存在强线性相关性,载于《基尔库克大学学报/科学研究》(KUJSS)第15卷第2期,2020年6月,pp.(63-78)ISSN:1992-0849(印刷版),2616-6801(在线)网站:www.uokirkukuk.edu.iq/KUJSS电子邮件:kujss@uokirkuk.edu.iq,kujss.journal@gmail.com65三个研究站的值在(0.96)-(0.98。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calculation the Drought Index and Determination the Type of Climate for the Rainy Months in the Selected Stations in Iraq
This Study aims to calculate the drought index by application the de Martine equation and determine the type of climate for rainy months in the three selected stations in Iraq (Mosul, Baghdad and Nasiriya) by use data of (Rainfall and Temperature) for the period ranged (1970 to 2010), which was recorded from the "Iraqi Meteorological Organization and seismology" in Baghdad. The results appears that the climate is humid in the months (December and January), the climate is variable between (wet and semiarid) in the months (February, March, April and November), while the climate is variable between (semiarid and arid) in the months (May and October) as a result of variation the values of (Rainfall and Temperature) for rainy months in the three studying stations. In this research the relationship between values of drought index and the rainfall amount and temperatures has been showing by calculation the correlation coefficient and also obtained simple linear regression by applying program of Microsoft excel (2010), the results indicated the existence of strong linear correlation between the drought index and rainfall in Kirkuk University Journal /Scientific Studies (KUJSS) Volume 15, Issue 2, June 2020 , pp. (63-78) ISSN: 1992-0849 (Print), 2616-6801 (Online) Web Site: www.uokirkuk.edu.iq/kujss E-mail: kujss@uokirkuk.edu.iq, kujss.journal@gmail.com 65 the three studying stations values between (0.96) – (0.98), while the results showed the occurring of strong inverse correlation between the drought index and temperatures in the three studying stations values between (-0.93) – (-0.98) in the three stations.
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