Analysis of Precipitation Climate and Evapotranspiration in Kerman of Iran

الموضوعات :

Shahram Karimi-Googhari ¹

1 - Assistant Professor, Department of Water Engineering, Faculty of Agriculture, Shahid- Bahonar University of Kerman, Kerman, Iran

تاريخ الإرسال : 14 الجمعة , ربيع الأول, 1437 تاريخ التأكيد : 14 الجمعة , ربيع الأول, 1437 تاريخ الإصدار : 03 الخميس , شوال, 1432

الکلمات المفتاحية: evapotranspiration, Kerman province, rainfall, anomaly index,

ملخص المقالة :

Rainfall and evapotranspiration are the two most popular climatic factors which have crucial function on agricultural production. Rainfall can be directly measured easily in an area but evapotranspiration is estimated from weather data. In this study reference evapotranspiration ETo was estimated using Penman–Monteith equation. Monthly rainfall and evapotarnspiration were plotted and compared in order to determine moisture deficit periods for two main several stations in Kerman Province which located in south east of I.R. of Iran. Temporal variation of annual rainfall was analysed using rainfall anomaly index. It was found that the moisture deficit in both stations is obvious for whole year and irrigation requirement is high for agricultural production. ETo showed relatively low variation with time while year-to-year rainfall variability was very high. Rainfall Anomaly Index (RAI) values was plotted and from these plots information on rainfall pattern over the past 33 years, such as drought years was obtained. [Shahram Karimi-Googhari. Analysis of Precipitation Climate and Evapotranspiration in Kerman of Iran. International Journal of Agricultural Science, Research and Technology, 2011; 1(3):105-108].

المصادر:

1. Allen, R.G., Pereira, L.S., Raes, D., Smith, M. (1998). Crop evapotranspiration: Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper, vol. 56, Rome, Italy, p. 301.

2. Dennett, M. D., Elston, J., Rodgers, J. A. (1985). A reappraisal of rainfall trends in the Sahel. Journal of Climatology 5, 353–361.

3. Dinpashoha, Y., Fakheri-Farda, A., Moghaddamb, M., Jahanbakhshc, S and Mirniad, M. (2004). Selection of variables for the purpose of regionalization of Iran’s precipitation climate using multivariate methods. Journal of Hydrology, 297: 109–123.

4. Esteban-Parra, M.J., Rodrigo, F.S and Castro-Diez, Y. (1998). Spatial and temporal patterns of precipitation in Spain for the period 1880–1992. Int. J. Climatol. 18: 1557–1574.

5. Guttman, N. B. (1993). The use of L-Moments in the determination of regional precipitation climates. J. Climatol. 6: 2309–2325.

6. Holawe, F and Dutter, R. (1999). Geostatistical study of precipitation series in Austria: time and space. J. Hydrol. 219: 70–82.

7. Mallants, D and Feyen, J. (1990). Defining homogeneous precipitation regions by means of principal component analysis. J. Appl. Meteorol. 29: 892–901.

8. Ogallo, L. (1983). Rainfall trends in the arid and semiarid regions (Kenya) (special issue). The Kenyan Geographer, 5: 655–664.

9. Oladipo, E. O. (1985). A comparative performance analysis of three meteorological drought indices. Journal of Climatology 5: 655–664.

10. Roy, N.S and Kaur, S. (2000). Climatology of monsoon rains of Myanmar (Burma). Int. J. Climatol. 20: 913–928.

11. Todorov, A.V. (1985). Sahel: the changing rainfall regime and the ‘‘Normals’’ used for its assessment. Journal of Climate and Applied Meteorology 24 (2): 97–107.

12. Van Rooy, M. P. (1965). A rainfall anomaly index independent of time and space. NOTOS. Weather Bureau of South Africa, 14: 43–48.