American Journal of Engineering and Applied Sciences Original Research Paper Mapping of Temperature Trend Slope in Iran′s Zayanderud River Basin: A Comparison of Interpolation Methods 1 2 3 2 4 5 6 Ali Zahraei, Saeid Eslamian, Ali Saeidi Rizi, Neda Azam , Morteza Soltani, Mohammad Mousavi, Sona 7 Pazdar and Kaveh Ostad-Ali-Askari 1Department of Irrigation and Drainage Engineering, College of Abureyhan, University of Tehran, Tehran, Iran 2Department of Water Engineering, Isfahan University of Technology, Isfahan, Iran 3Department of Civil Engineering, Shahid Bahonar University of Kerman, Kerman, Iran 4Department of Architectural Engineering, Shahinshahr Branch, Islamic Azad University, Shahinshahr, Iran 5Department of Civil Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran 6Civil Engineering Department, Aghigh University, Shahinshahr, Isfahan, Iran 7Department of Civil Engineering, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran Article history Abstract: The spatial distribution of daily, nightly and mean temperature Received: 19-05-2018 trend in Iran′s Zayanderud river basin was carried out in this study by Revised: 05-02-2019 applying three approaches of interpolation including Inverse Distance Accepted: 24-06-2019 Weighting (IDW), Multiple Linear Regression (MLR) and integration of these two methods (IDW+MLR). In this paper, t-test and statistical Corresponding Author: measures including Mean Absolute Error (MAE), Root Mean Square Error Kaveh Ostad-Ali-Askari (RMSE), systematic Root Mean Square Error (RMSE s) and unsystematic Department of Civil Root Mean Square Error (RMSE u) were used to evaluate the performance Engineering, Isfahan of approaches. This study reveals that temperature trends are inversely (Khorasgan) Branch, Islamic correlated with the altitude. All three interpolation methods overestimate in Azad University, Isfahan, Iran the prediction of daily and mean temperature trend and underestimate in Emails:
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