Journal of Natural Environment

Estimation of effective rainfall in the method of inverse problem solving in wheat-cultured fields and its comparison with experimental methods

Document Type : Research Paper

Authors

Department of Irrigation Engineering, College of Agriculture, University of Tehran, Karaj, Iran.

10.22059/jne.2023.356951.2539

Abstract

In this study, effective rainfall in wheat - cultivated areas of kermanshah province has been estimated as an inverse solution method and the results are estimated using the experimental method of effective rainfall (USDA, FAO, percentage and experimental)and their relative error is estimated. According to the need for meteorological data and the performance of caltivated dry farming wheat crop, kermanshah province's meteorological data, which consisted of 10 meteorological stations and also increased production data and the area sown to wheat crop for caltivated dry farming wheat crop for 14 years. First, effective rainfall was calculated with the help of different methods of computation and also the actual evapotranspiration of caltivated dry farming wheat using functions in the study area was calculated and therefore, the amount of precipitation was estimated. Then, the effective rainfall estimation methods are experimentally compared. The results expressed that during the last 14 years, the amount of effective rainfall estimated according to the inverse solution method during the period of caltivated dry farming wheat crop growth ranges from 119.85 to 279.90 mm. The results showed that the average error of the experimental method in the estimation of effective rainfall was significantly higher than the reverse solution method and the percentage method with average error margin of 25.9 % and FAO method with mean relative error rate of 47.78% had the highest error compared to the reverse solution method. Due to the fact that the experimental methods of effective rainfall estimation have a significant amount of error compared to the inverse solution method, a suitable model of effective rainfall estimation was developed. The results showed that the model proposed in this research, with an average relative error of 1.07%, is able to more accurately estimate the amount of effective precipitation in Kermanshah province than other experimental methods.

Keywords

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Journal of Natural Environment
Volume 76, Issue 4
March 2024
Pages 689-699