Abstract

Xilin Gol is located in the north-central part of Inner Mongolia, and its western plains are extremely scarce areas of water resources.The analysis of the precipitation in Xilin Gol is of great significance to the economic development of local animal husbandry. Time series analysis and prediction have important practical application value, and scientific and accurate prediction results can provide a key guiding role for social activities. Combined with the fast Fourier transform, the empirical modal decomposition method was used to analyze the monthly precipitation data of Xilin Gol from 1961 to 2016.The results show that the time series has a period of 6 and about 22 months.And through the calculation of the contribution rate of the IMF variance, it is found that 12 months is the main cycle of the monthly precipitation of Xilin Gol,The results show that EMD can more accurately reflect the periodic characteristics of precipitation. The research results have certain practical value for the scientific and rational use of precipitation.

Highlights

  • Xilin Gol is located in the northwestern part of Inner Mongolia

  • The economic structure is mainly based on agriculture and animal husbandry, and it is an important livestock product base of the country.And the western plain area is an area with extreme water resources

  • In 2013, Xue Chunfang[5] used ensemble empirical mode decomposition to carry out the multi-scale analysis of the autumn precipitation in the Weihe River Basin in the past 50 years

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Summary

Introduction

Xilin Gol is located in the northwestern part of Inner Mongolia. The economic structure is mainly based on agriculture and animal husbandry, and it is an important livestock product base of the country.And the western plain area is an area with extreme water resources. Studying the water resources of Xilin Gol has certain effects on its drought prevention and mitigation and sustainable development of animal husbandry. For time series scale analysis, related studies have been carried out. In 2010, Lu Jingwei[3] selected the Weihe River Basin as the research object to study the variation characteristics of hydrometeorological sequences by using the empirical modal decompositionm method and wavelet analysis method. In 2013, Xue Chunfang[5] used ensemble empirical mode decomposition to carry out the multi-scale analysis of the autumn precipitation in the Weihe River Basin in the past 50 years. In 2018, Du Yi[7] used wavelet analysis to analyze the components of EMD decomposition to obtain the periodic characteristics. In 2018, Fang Aihua[8] used EMD to analyze the temperature of Hui'an County on multiple time scales to obtain the characteristics of temperature cycle transformation

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