Evaluating the Performance of Time-Series, Neural Network and Neuro-Fuzzy Models in Prediction of Meteorological Drought (Case study: Semnan Synoptic Station)

Document Type : Research Paper

Authors

1 MSc., Faculty of Civil Engineering, Semnan University, Semnan, Iran.

2 Assistant Professor, Faculty of Civil Engineering, Semnan University, Semnan, Iran.

3 Professor, Faculty of Civil Engineering, Semnan University, Semnan, Iran

Abstract

Introduction
Drought phenomenon is one of the natural and creeping disasters, which occurs in almost every climate and its properties vary spatially. A considerable number of scientific research has been done on drought in Iran and throughout the world. These studies have examined various aspects of drought. Through such research and knowledge effective and efficient solutions could be found to deal with good management of drought. Since Iran is located in an arid region of the world, nowhere in the country is immune from this phenomenon. This research has attempted to present appropriate models to predict drought for the city of Semnan, Iran.

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References

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Irrigation Sciences and Engineering
Volume 43, Issue 2
July 2020
Pages 1-18

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History

  • Receive Date: 25 April 2016
  • Revise Date: 02 October 2018
  • Accept Date: 09 October 2017
  • Publish Date: 21 June 2020

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