Multiple jaw fractures and hiatus linguae in a dog
| Autor: | Davood Nikkami, Mohammad Hossein Mahdian, Ebrahim Pazira, Elaheh Moussavi Kiassari |
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| Jazyk: | turečtina |
| Rok vydání: | 2014 |
| Předmět: | |
| Zdroj: | Volume: 37, Issue: 1 117-120 Turkish Journal of Veterinary and Animal Sciences |
| ISSN: | 1300-0128 1303-6181 |
| Popis: | Th e rainfall erosivity index is one of the most important factors infl uencing soil erosion. For this reason, investigating the accuracy of rainfall erosivity indices is very important in diff erent climatic regions. Th e objective of this research was to investigate diff erent rainfall erosivity factors and determine the most appropriate ones for use in the central and northeastern parts of Iran. For this reason, necessary data were collected from 92, 6 and 10 soil erosion research plots in Khorasan Razavi, Semnan and Isfahan provinces, respectively. Th e rainfall intensities were recorded, as was the sediment yield associated with storm events, and 63 diff erent erosivity indices based on rainfall intensity were computed for these soil erosion research stations. Th e results demonstrated that the rainfall intensity-based indices had the most signifi cant correlations, with results of 0.740 (P < 0.01), 0.651 (P < 0.01) and 0.976 (P < 0.01) for sediment yield in Khorasan Razavi, Semnan, and Isfahan, respectively. Th ese selected rainfall intensity-based indices were also computed for synoptic stations. Rainfall erosivity indices, based on the amount of rainfall, were also computed for all soil erosion research plots and synoptic and climatic stations. Th e results showed that mean annual rainfall displayed a signifi cant correlation with selected rainfall intensity-based indices (r = 0.83 and 0.99, P < 0.01) in the synoptic stations of Semnan and Khorasan Razavi, and the modifi ed Fournier index showed a signifi cant correlation with selected rainfall intensity-based indices (r = 0.90, P < 0.01) in Isfahan. Selected regression models were used to estimate the rainfall intensity-based indices at stations without intensity data in the studied provinces. |
| Databáze: | OpenAIRE |
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