Skip to main content

Study on the Change Trend of Precipitation and Temperature in Kunming City Based on Mann-Kendall Analysis

  • Conference paper
  • First Online:
Future Computer, Communication, Control and Automation

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 119))

Abstract

Based on the monthly meteorological data collected from Kunming weather stations in recent 26 years, the change characteristics of annual and inter-annual precipitation and temperature are analysized by linearity trend estimation; the change characteristics of precipitation and temperature are given a phased analysis by analyzing annual temperature anomaly.Mann-Kendall technique is applied to detect the change trend of precipitation and temperature. The result demonstrates that: the precipitation shows an increasing but not obvious trend; the mean temperature shows a clear increase trend. The inter-annual precipitation and mean temperature is high in the middle and low at the two ends, which shows an obvious seasonal distribution. The result of Mann-Kendall trend test shows: the change trends of precipitation of different seasons are not in accordance with the trend of the whole year, and there is a obvious increase in spring winter and the whole year and obvious decrease in fall; the change trends of mean temperature in different season are in accordance with that of the whole year, and all these periods have obvious increase trends.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Wei, F.: Modern Diagnosis and Forecasting Methods to Climatic Statistics, pp. 69–72. China Meteorological Press, Beijing (1999)

    Google Scholar 

  2. IPCC. Climate change 2001:The Science Basis,Contribution of working Group I to the Third Assessment Report of the Intergovernment Panel on Climate Change. Cambridge University Press, Cambridge (2001)

    Google Scholar 

  3. Xu, H., Guo, J.: An analysis of the climate change in Xi’an over 65 years. Shaanxi Meteorology (1), 19–22 (1998)

    Google Scholar 

  4. Xia, C., Zhou, L.: An analysis of the temperature change in Shenyang over 50 years. Liaoning Meteorology (3), 15–16 (2002)

    Google Scholar 

  5. Chen, L., Li, S., Wang, Y.: A research into the temperature change in Heilongjiang province. Heilongjiang Meteorology (3), 29–31 (2001)

    Google Scholar 

  6. Hu, G., Li, Y., Li, D.: The change of the highest and lowest temperature in Shandong during recent 100 years. Meteorology 30(11), 43–46 (2004)

    Google Scholar 

  7. Yu, P.S., Yang, T.C., Wu, C.K.: Impact of climate change on water resources in southern Taiwan. Journal of Hydrology 260, 161–175 (2002)

    Article  Google Scholar 

  8. Xu, Z.X., Takeuchi, K., Ishidaim, H.: Long-term trends of annual temperature and precipitation time series in Japan. Journal of Hydroscience and Hydraulic Engineering 20(2), 11–26 (2002)

    Google Scholar 

  9. Goto, H., Hasegawa, Y., Tanaka, M.: Efficient Scheduling Focusing on the Duality of MPL Representatives. In: Proc. IEEE Symp. Computational Intelligence in Scheduling (SCIS 2007), pp. 57–64. IEEE Press (December 2007); doi:10.1109/SCIS.2007.357670

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhang Yanming .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yanming, Z., Jun, W., Xinhua, W. (2012). Study on the Change Trend of Precipitation and Temperature in Kunming City Based on Mann-Kendall Analysis. In: Zhang, T. (eds) Future Computer, Communication, Control and Automation. Advances in Intelligent and Soft Computing, vol 119. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25538-0_71

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25538-0_71

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25537-3

  • Online ISBN: 978-3-642-25538-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics