2021
DOI: 10.3390/w13202814
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Two Comprehensive and Practical Methods for Simulating Pan Evaporation under Different Climatic Conditions in Iran

Abstract: Evaporation from surface water plays a crucial role in water accounting of basins, water resource management, and irrigation systems management. As such, the simulation of evaporation with high accuracy is very important. In this study, two methods for simulating pan evaporation under different climatic conditions in Iran were developed. In the first method, six experimental relationships (linear, quadratic, and cubic, with two input combinations) were determined for Iran’s six climate types, inspired by a mul… Show more

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Cited by 11 publications
(8 citation statements)
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“…Several studies have been conducted in the field of estimating evaporation and evapotranspiration, and all of them have confirmed the efficiency of the MLP model [22,30,[33][34][35][36][57][58][59][60], and their results are in line with the present study. In regions with the same climate as Shiraz station, fewer studies have been conducted on evaporation estimation by the MLP model.…”
Section: Discussionsupporting
confidence: 90%
See 3 more Smart Citations
“…Several studies have been conducted in the field of estimating evaporation and evapotranspiration, and all of them have confirmed the efficiency of the MLP model [22,30,[33][34][35][36][57][58][59][60], and their results are in line with the present study. In regions with the same climate as Shiraz station, fewer studies have been conducted on evaporation estimation by the MLP model.…”
Section: Discussionsupporting
confidence: 90%
“…This is while the RMSE value obtained from the estimation of evaporation in the current research is equal to 1.629-1.742 mm/day. The reason for this difference can be seen in the training algorithms of the MLP; Where Dehghanipour et al [22] achieved their results by the LM algorithm, and the current research by BR. Additionally, Ashrafzadeh et al [3] used MLP-LM in a study in the very humid climate of northern Iran and achieved an accuracy of RMSE = 1.088-1.197 mm/day and WI = 0.903-0.942.…”
Section: Discussionmentioning
confidence: 90%
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“…The ANN is a nonlinear model designed to deal with large datasets with multiple variables as input [18][19][20]. Multi-layer perceptron (MLP) is the widely used ANN architectural design that has been used abundantly in hydrological modeling to predict and forecast the dataset [21][22][23][24][25][26]. The current investigation used MLP architecture to predict the TDS values of the groundwater sources.…”
Section: Artificial Neural Network (Ann) Model Design and Characteris...mentioning
confidence: 99%