S. Shahabi; M.J. Khanjani
Abstract
In this paper a method to perform Estimation of Flood Risk (EFR) is presented when the assumption of stationary is not important (or not valid). A wavelet transform model is developed to EFR. A full series is applied to EFR using energy function of wavelet. The data were decomposed into some details ...
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In this paper a method to perform Estimation of Flood Risk (EFR) is presented when the assumption of stationary is not important (or not valid). A wavelet transform model is developed to EFR. A full series is applied to EFR using energy function of wavelet. The data were decomposed into some details and an approximation through different wavelet functions and decomposition levels. The approximation series was employed to EFR. This was performed using daily maximum discharge data from of the Polroud River in the north of Iran. In this way, the data from 1956 to 2007 were evaluated by wavelet analysis. The study shows that wavelet full series model results (density function) are too small compared with the results of combined method and they are both lesser than traditional methods (AM and PD). In other hand, the results of energy function method are closed to the combined method when they are compared with the full series data results. These wavelet models were assessed with the AM and PD methods. The concrete result of this paper is that, the watershed hydrologic conditions and nature of the data are very important parameters to improve FFA and to select the best method of analysis.
Saeid Boroomand Nasab; Mohammad javad khangani
Abstract
Deficit irrigation is an optimization strategy for water use efficiency in irrigation. This research was conducted to evaluation effect of deficit irrigation (DI) and partial root zone drying (PRD) on yield, yield components and water use efficiency of corn. Research was conducted on Shahid Bahonar University ...
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Deficit irrigation is an optimization strategy for water use efficiency in irrigation. This research was conducted to evaluation effect of deficit irrigation (DI) and partial root zone drying (PRD) on yield, yield components and water use efficiency of corn. Research was conducted on Shahid Bahonar University of Kerman in the spring of 2010 using a completely randomized block design with one control, 18 deficit irrigation treatment and three blocks. Deficit irrigation treatments were included: mild water stress (irrigation with درصد75 ETP), high water stress (irrigation with %50 ETP), fixed every other furrow irrigation and three partial root zone drying (Change the wet furrows in every irrigation, Change the wet furrows in every other irrigation and change the wet furrows in every second irrigations). Every treatment was applied at three growth stages of corn (all periods of growth, vegetative growth stage and reproductive growth stage). The highest biological yield obtained 32431 and the lowest was 17654 kg per hectare. The highest grain yield was 12115 kg per hectare and the lowest was 7163. Water use efficiency (km grain yield per cubic meter of water) for the control treatment was equal to 1.16 and for partial root zone drying with change the wet furrows in every irrigation (14 days) in all periods of growth treatment was equal to 2.13. Results showed that partial root zone drying with one interval irrigation (14-day) was the best choice to apply deficit irrigation on corn.
B. Bakhtiari; A. Khalili; A. Liaghat; M.J. Khangani
Abstract
Abstract
In recent years, automatic weather stations have been widely used for recording meteorological data in different time scales. Therefore the accurate estimation of ETo by combination equations can be evaluated using these set of short time scales data. Daily ETo can also be calculated by summation ...
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Abstract
In recent years, automatic weather stations have been widely used for recording meteorological data in different time scales. Therefore the accurate estimation of ETo by combination equations can be evaluated using these set of short time scales data. Daily ETo can also be calculated by summation of hourly ETo values. The purpose of this study is to compare the ETo values estimated by hourly and daily data. Totally, 7270 hourly meteorological data obtained from the automated weather reference station where placed in Shahid Bahonar university of Kerman, Iran during April to December 2005 and January to March 2006. The Penman-Monteith equations proposed by the Food and Agriculture Organization (FAO-56) and American Society of Civil Engineers (ASCE) were used for hourly and daily (24 hours) ETo estimation. The paired t- student test was used for comparison of estimated ETo values by two methods (daily and hourly summation) in each month. The results of this study showed significant differences between ETo values estimated by daily and hourly summation data in both equations at 5 percent level. The hourly summation method overestimated ETo values from 5.8 to 44.6 percent in different months using FAO-56 Penman-Monteith equation and from 7.4 to 47.6 percent using ASCE Penman-Monteith equation. The regression coefficients of correlation equations between the daily and hourly summation method in both combination models were strongly significant.
Keywords: Reference evapotranspiration, Hourly time scale, FAO-56 Penman-Monteith, ASCE Penman-Monteith