التباين في مؤشرات التغير المناخي في
عناصر مناخ العراق وظواهره الغبارية
أطروحة تقدمت بها
فاطمة حمدي سلوم
إلى مجلس كلية التربية (ابن رشد)/ جامعة بغداد وهي جزء من
متطلبات نيل درجة دكتوراه فلسفة في الجغرافية
إشراف
الأستاذ الدكتور
يوسف محمد علي حاتم الهذال
الأستاذ الدكتور
سامي عزيز عباس العتبي
1436هـ - 2015م
Contrast in Indications of Climate
Changes of Elements of Iraqi Climate
and its Dust Phenomena
By
Fatimah Hamdi Salloom
A thesis
submitted to the Council of the College of Education
- Ibn Rushd- for Human Sciences - University of Baghdad in
Partial Fulfillment for the Requirements of the Degree of Ph.D
in Philosophy Geography
Supervised by
Prof .Dr. Yousif Mohammed Ali
Prof .Dr. Sami Aziz Abbas
1436A.H - 2015 A.D
Abstract
That the study of contrast of climate change indicators in elements of Iraq's climate and dust phenomena came to show and explain the impact of the global changes that have occurred and reflected on the change elements and climatic phenomena in Iraq that have been relying on the general trend coefficient and the coefficient of annual change and change (100%) of these elements and climatic phenomena which has been reached that the degrees of normal temperature and maximum and minimum (m) take the trend leans toward the rise in the all weather stations in the study area, the rainfall (mm) It has been shown that it takes a trend tends to drop in all weather stations in the study area, whether this was taken to the rate trend Annual or monthly rate of these elements that are larger than the other, represented by the elements and phenomena of climate made clear where (solar brightness, wind speed, evaporation, relative humidity, dust storms, rising dust, shake) dust they have seen changes but not the same elements ( normal temperature and the maximum and minimum and rain) as well as the case applies to the climatic cycles of these elements and climatic phenomena As for the quantitative analysis of the model of climatic phenomena represented by the relationship (dust storms, rising dust, airborne dust), they may differ these elements and climatic phenomena of the weather station to another because of the spatial and temporal variability of each station and according to geographical factors, fixed and mobile, local factors that control climate climate that surrounds the station.
Was reached these results by using multiple linear regression model was subjected to the results obtained by the test (T. Test) and (F .Test) to test the moral faculty were relying on the overall correlation coefficient (R) and the coefficient of multiple determination (R2) to see how the influence of the independent variables (unexplained) on the dependent variable (Y) and to make sure the correct model test was to rely on quantitative analysis and charts to illustrate more variables impact on the dependent variable.
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