EVALUATION OF THE CLIMATE CHANGE EFFECTS TO THE PRECIPITATION PATTERNS IN THE SELECTED BOSNIA AND HERZEGOVINA CITIES

Abstract

Climate change effects are most often presented with ongoing and expected temperature increase and sea level rise, but also stressed is the shift in rainfall patterns, often difficult to distinguish because there is much natural variability in precipitation. Statistical process control presents application of statistical methods and procedures for monitoring and control of the selected process. It aims to evaluate two potential sources of a process variation: natural (common) and assignable (special) causes. Statistical process control was recently used to evaluate climate change/variation, using previous referential period as a benchmark for addressing the present variations (e. g. in temperature or precipitation) as being triggered by natural or special causes. This means that either variation statistically should have been expected or the natural processes "capability" changed and variations are higher than one could expect. This paper analytically compares specific precipitation pattern changes in the three cities of Bosnia and Herzegovina with different annual participation. The comparison is based on the assessment of statistical behaviour of the precipitation data during the periods of 1961-1990 and after 1990. Such comparison allows preliminary conclusions on the studied geographical distribution of specific climate change/variation impacts. The presented results show that climate variations effect the precipitation patterns change, but do not confirm that they are as high as they could not be statistically expected, based on previous precipitation data.

Keywords

Dates

  • Submission Date2013-12-11
  • Revision Date2014-03-28
  • Acceptance Date2014-04-08
  • Online Date2014-09-06

DOI Reference

10.2298/TSCI1403787V

References

  1. ***, What's the Difference between Weather and Climate?, NASA - National Aeronautics and Space Administration, 2005, www.nasa.gov/mission_pages/noaan/climate/climate_weather.html
  2. ***, Committee on America's Climate Choices, Board on Atmospheric Sciences and Climate, America's Climate Choices, The National Academies Press, Washington, D. C., USA
  3. ***, Climate Change 2007: Synthesis Report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change
  4. Laušević, R., et al., Climate Change and Biodiversity in South-East Europe - Impacts and Action, REC, Szentendre, Hungary; ECNC, Tilburg, The Netherlands, 2008
  5. Laušević, R., et al., Climate Change and Biodiversity in South-East Europe: a Concise Summary of the Scientific and Policy Context, Issues and Recommended Actions, REC, Szentendre, Hungary; ECNC, Tilburg, The Netherlands, 2008
  6. Spasova, D., et al., Study for Climate Change Impact Assessment on Agriculture and Adaptations Strategy Development in B&H, Report of Government of Republika Srpska, Ministry of Physical Planning, Civil Engineering and Ecology, Regional Environmental Center, Banja Luka, 2007
  7. Kenabatho P. K., et al., The Value of Large-Scale Climate Variables in Climate Change Assessment: The case of Botswana's Rainfall, Physics and Chemistry of the Earth, 50-52 (2012), 6, pp. 64-71
  8. Thompson, J. R., Koronacki, J., Statistical Process Control: The Deming Paradigm and Beyond, Chapman & Hall/CRC, USA, 2002
  9. Qu, L., et al., A CUSUM Scheme for Event Monitoring, Int. J. Production Economics, 145 (2013), 1, pp. 268-280
  10. Woodall, W. H., Controversies and Contradictions in Statistical Process Control, Journal of Quality Technology, 32 (2000), 4, pp 341-350
  11. Vučijak, B., et al., Applicability of Assessment of Climate Change by Statistical Process Control Methods, Proceedings, 7th Conference on Sustainable Development of Energy, Water and Environment Systems SDEWES, July 1-7 2012, Ohrid, FyROM, pp. 0408-1 to 0408-14
  12. Vučijak, B., et al., Assessment of Climate Change Effects to Precipitation Patterns Using Statistical Process Control Methods, Annals of DAAAM for 2012 & Proceedings, 23rd International DAAAM Symposium, Zadar, Croatia, Vol. 23, 1, pp. 277-280
  13. Vučijak B., et al., Potential of Statistical Process Control Methods Use in Natural Processes, Proceedings, 5th International Conference on Sustainable Energy and Environmental Protection SEEP, Part II, 2012, Dublin, Ireland, pp. 211-216
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