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3rd International Youth Forum on Soil and Water Conservation
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عنوان فارسی |
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چکیده فارسی مقاله |
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کلیدواژههای فارسی مقاله |
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عنوان انگلیسی |
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چکیده انگلیسی مقاله |
Rainfall distribution has become highly disordered due to climate change and human activities. the estimation of rainfall distribution has an important in understanding the hydrological cycle and water resources management. The aim of this study on the large-scale spatial rainfall distribution in the north and south of Iran using the information entropy theory. The examinations were performed on monthly, seasonal, and annual timescales based on meteorological stations for the period of 1980 –2019. The Mann–Kendall test was used to evaluate the long-term trend in marginal entropy as well as relative entropy for stations. rainfall variability can satisfactorily be obtained in terms of marginal entropy as a comprehensive measure of the regional uncertainty of these hydrological events. The Shannon entropy produced spatial patterns which led to a better understanding of rainfall and characteristics throughout the northern and southern region of Iran. The total relative entropy indicated that rainfall carried the same information content at annual and rainy season time scales. It was also observed that the spring and winter seasons have a more variable pattern than summer and autumn. In addition, it is observed that Bushehr and Ahvaz stations have less variability in summer. |
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کلیدواژههای انگلیسی مقاله |
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نویسندگان مقاله |
choobeh|abghari|erfanian |
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نشانی اینترنتی |
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فایل مقاله |
فایلی برای مقاله ذخیره نشده است |
کد مقاله (doi) |
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زبان مقاله منتشر شده |
en |
موضوعات مقاله منتشر شده |
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نوع مقاله منتشر شده |
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