1
M.Sc. Student, Dept. of Water Resources, Shahid Chamran University.
2
Assistant Professor, Dept. of Water Resources, Shahid Chamran University.
3
Associate Professor, Dept. of Agriculture, Isfahan University Technology
4
Associate Professor, College of math and Computer Dept. of Sats.
Abstract
Evaporation is one of the important factors in water loss from dam reservoirs. Therefore, the accurate prediction highly helps the reservoir planning and optimum water usage. In this study, using the recorded pan data the evaporation trend is determinded by seasonal Mann-Kendal Test, then the reservoir evaporation is predicted by the time series analysis. After determining the stationary situation of data , the models SARIMA(0,0,1)×(2,0,2)12 , SARIMA(1,0,0)×(1,1,1)12 and SARIMA(1,0,0)×(2,1,2)12 are fund to be suitable for stations Behbahan, Dez and Pay-pol respectively. The results show that due to the data limitation and the predominat assumptions in Time Series method, these models are reliable for the short term prediction.
Bahmani, R., Radmanesh, F., Islamian, S. & Parham, G. (2013). Reservoir Evaporation Trend Analysis and Its Prediction using Time Series. Irrigation Sciences and Engineering, 36(3), 67–80.
MLA
Bahmani, R., Radmanesh, F., Islamian, S., & Parham, G. "Reservoir Evaporation Trend Analysis and Its Prediction using Time Series", Irrigation Sciences and Engineering, 36, 3, 2013, 67–80.
HARVARD
Bahmani, R., Radmanesh, F., Islamian, S., & Parham, G. (2013). 'Reservoir Evaporation Trend Analysis and Its Prediction using Time Series', Irrigation Sciences and Engineering, 36(3), pp. 67–80.
CHICAGO
Bahmani, R., Radmanesh, F., Islamian, S. & Parham, G., "Reservoir Evaporation Trend Analysis and Its Prediction using Time Series." Irrigation Sciences and Engineering, 36 3 (2013): 67–80,
VANCOUVER
Bahmani R., Radmanesh F., Islamian S., Parham G. Reservoir Evaporation Trend Analysis and Its Prediction using Time Series. JISE. 2013;36(3):67–80 (In Persian).
