10Aug 2017

TREND ANALYSIS OF ANNUAL AVERAGE TEMPERATURE IN JINAN.

  • School of Mathematics and Statistics, Shandong University of Technology, China.
Crossref Cited-by Linking logo
  • Abstract
  • Keywords
  • References
  • Cite This Article as
  • Corresponding Author

The methods of trend analysis for hydrometeorological series include parametric statistical analysis and non-parametric test.In this paper, two methods are used to analyze the trend of annual average temperature data of Jinan in 65 years.It is found that the parametric statistical analysis (Cumulative Departure and Linear Regression), Spearman's rho test and Cox-Staut test can only make simple judgments on the trend of annual average temperature, while Mann-Kendall test can draw the detailed results.As a whole, the annual average temperature in Jinan is on the rise.

  1. Fengying Wei. Modern climate statistical diagnosis and Prediction Technology.Meteorological Press,1999.
  2. Mengbo Song,Jinxin Huang.Preliminary analysis of hydrological time series trend analysis.Journal of Changjiang Engineering Vocational College,2007,24(4):35-36.
  3. Xing Wang,Tingjin Zhe.Nonparametric statistics. tsinghua university press,2014.
  4. Yinghua Zhang,Xianfang Song. Methods and comparison of trend analysis and variation diagnosis for hydrometeorological series. Arid area geography,2015,38(4):655.
  5. KULKARNI A,VON STORCH H. Monte-Carlo experiments on the effect of serial correlation on the Mann-Kendall test of trend[J]. Meteorologische Zeitschrift,1995,4 (2):82-85.
  6. YUE S,PILON P,PHINNEY B,et al. The influence of autocorrelation on the ability to detect trend in hydrological series[J].Hydrological Processes,2002,16 (9):1807-1829.
  7. YUE S,WANG C. The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series [J]. Water Resources Management,2004,18 (3):201-218.

[Jian Wang and Jinfeng Yin. (2017); TREND ANALYSIS OF ANNUAL AVERAGE TEMPERATURE IN JINAN. Int. J. of Adv. Res. 5 (Aug). 11-16] (ISSN 2320-5407). www.journalijar.com

Jian Wang
School of Mathematics and Statistics, Shandong University of Technology, China

DOI:

Article DOI: 10.21474/IJAR01/5030      
DOI URL: http://dx.doi.org/10.21474/IJAR01/5030

Download Full Paper

Download PDF No. of Downloads: 37 | No. of Views: 82