Chinese Journal of Agrometeorology ›› 2018, Vol. 39 ›› Issue (01): 9-17.doi: 10.3969/j.issn.1000-6362.2018.01.002

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Research on Local Environmental Temperature Change and Forecast in the Three Gorges Reservoir Area Based on Time Series Analysis

MA Li, YU Rui-lin, LI Jie, XIA Li-zhong, LI Yun-cong   

  1. 1.Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; 2.Shandong Agricultural University, Tai’an, Shandong 271018, China; 3.Soil and Water Science Department, Tropical Research and Education Center, University of Florida, Homestead, FL 33031, USA
  • Received:2017-04-30 Online:2018-01-20 Published:2018-01-19

Abstract: To confirm the effects of water storage of the Three Gorges Project on local climate change, using the method of time series analysis and Autoregressive Integrated Moving Average Model (ARIMA), local temperatures in a typical area of the upper basin of the Three Gorges Reservoir area (TGA) located in Zigui County were continuously observed and analyzed during 2001-2015. The results showed that the time series of air and soil temperature can be determined as the seasonal non-stationary time series, the peak value of monthly mean air temperature occurred in July (29.0℃) and trough value occurred in January (6.0℃). The air temperature declined to17.8℃ in 2003 and then stable up to 18.3℃ in 2007, the medium term continued to decline to 17.1℃ in 2011, and the latter stable up to 17.8℃ in 2013; the soil temperature stable increased to 21.1℃ in 2005, declined to 19.3℃ in 2008, and the latter stable up to 20.0℃ in 2013. The local environment temperature in the upper basin of the TGA had a certain degree of inter-annual fluctuation, but no significantly monotonic trends were found. These results indicate that the water storage of the Three Gorges Project had no significant influence on the local environmental temperature in the study area during the 15 years. Forecast models of air and soil temperature were obtained using ARIMA model, the forecast value and the observed value are in good agreement with the observed value in 2015. The results also indicated that the model can be optimized and applied for long-term monitoring data in this region.

Key words: Time series, Local climate, Three Gorges Reservoir area (TGA), Temperature, Autoregressive Integrated Moving Average (ARIMA) model