Research Article Open Access

Mapping of Temperature Trend Slope in Iran′s Zayanderud River Basin: A Comparison of Interpolation Methods

Ali Zahraei1, Saeid Eslamian2, Ali Saeidi Rizi3, Neda Azam2, Morteza Soltani4, Mohammad Mousavi4, Sona Pazdar5 and Kaveh Ostad-Ali-Askari4
  • 1 University of Tehran, Iran
  • 2 Isfahan University of Technology, Iran
  • 3 Shahid Bahonar University of Kerman, Iran
  • 4 Islamic Azad University, Iran
  • 5 Aghigh University, Iran

Abstract

The spatial distribution of daily, nightly and mean temperature trend in Iran′s Zayanderud river basin was carried out in this study by applying three approaches of interpolation including Inverse Distance Weighting (IDW), Multiple Linear Regression (MLR) and integration of these two methods (IDW+MLR). In this paper, t-test and statistical measures including Mean Absolute Error (MAE), Root Mean Square Error (RMSE), systematic Root Mean Square Error (RMSEs) and unsystematic Root Mean Square Error (RMSEu) were used to evaluate the performance of approaches. This study reveals that temperature trends are inversely correlated with the altitude. All three interpolation methods overestimate in the prediction of daily and mean temperature trend and underestimate in estimating nightly temperature trend. Among three methods, IDW is the most accurate and precise in predicting daily and mean temperature trends. IDW is the most accurate and IDW+MLR is the most precise method to estimate nightly temperature trend. The MLR method for estimating nightly, mean temperature trend and the IDW method for estimating daily temperature trend have the lowest systematic error.

American Journal of Engineering and Applied Sciences
Volume 12 No. 2, 2019, 247-258

DOI: https://doi.org/10.3844/ajeassp.2019.247.258

Submitted On: 19 May 2018 Published On: 26 June 2019

How to Cite: Zahraei, A., Eslamian, S., Rizi, A. S., Azam, N., Soltani, M., Mousavi, M., Pazdar, S. & Ostad-Ali-Askari, K. (2019). Mapping of Temperature Trend Slope in Iran′s Zayanderud River Basin: A Comparison of Interpolation Methods. American Journal of Engineering and Applied Sciences, 12(2), 247-258. https://doi.org/10.3844/ajeassp.2019.247.258

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Keywords

  • Interpolation
  • Spatial Distribution
  • Temperature Trend
  • Ayanderud River Basin
  • Iran