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Theoretical and Applied Climatology

, Volume 117, Issue 3–4, pp 589–606 | Cite as

Regional precipitation trend analysis at the Langat River Basin, Selangor, Malaysia

  • Narges PalizdanEmail author
  • Yashar Falamarzi
  • Yuk Feng Huang
  • Teang Shui Lee
  • Abdul Halim Ghazali
Original Paper

Abstract

Various hydrological and meteorological variables such as rainfall and temperature have been affected by global climate change. Any change in the pattern of precipitation can have a significant impact on the availability of water resources, agriculture, and the ecosystem. Therefore, knowledge on rainfall trend is an important aspect of water resources management. In this study, the regional annual and seasonal precipitation trends at the Langat River Basin, Malaysia, for the period of 1982–2011 were examined at the 95 % level of significance using the regional average Mann–Kendall (RAMK) test and the regional average Mann–Kendall coupled with bootstrap (RAMK–bootstrap) method. In order to identify the homogeneous regions respectively for the annual and seasonal scales, firstly, at-site mean total annual and separately at-site mean total seasonal precipitation were spatialized into 5 km × 5 km grids using the inverse distance weighting (IDW) algorithm. Next, the optimum number of homogeneous regions (clusters) is computed using the silhouette coefficient approach. Next, the homogeneous regions were formed using the K-mean clustering method. From the annual scale perspective, all three regions showed positive trends. However, the application of two methods at this scale showed a significant trend only in the region AC1. The region AC2 experienced a significant positive trend using only the RAMK test. On a seasonal scale, all regions showed insignificant trends, except the regions I1C1 and I1C2 in the Inter-Monsoon 1 (INT1) season which experienced significant upward trends. In addition, it was proven that the significance of trends has been affected by the existence of serial and spatial correlations.

Keywords

Homogeneous Region Significant Positive Trend Significant Upward Trend Silhouette Coefficient Langat River Basin 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors would like to sincerely thank the Ministry of Science, Technology and Innovation (MOSTI) for the financial support given to the research project entitled “Modeling Water Resources and Storm Water Management Strategies for Large Scale Dual-Function Rainwater Tanks Incorporating Climate Change and Urbanization Scenarios.” The authors would also like to express their appreciations to the Hydrology Division, Department of Irrigation and Drainage at Ampang, Selangor, and the Malaysian Meteorology Department at Petaling Jaya, both under the Ministry of Natural Resources and Environment (NRE), for the provision of the climatic data.

References

  1. Adamowski K, Bougadis J (2003) Detection of trends in annual extreme rainfall. Hydrol Process 17(18):3547–3560. doi: 10.1002/hyp.1353 CrossRefGoogle Scholar
  2. Ahani H, Kherad M, Kousari MR, Rezaeian-Zadeh M, Karampour MA, Ejraee F, Kamali S (2012) An investigation of trends in precipitation volume for the last three decades in different regions of Fars province, Iran. Theor Appl Climatol 109:361–382. doi: 10.1007/s00704-011-0572-z CrossRefGoogle Scholar
  3. Basistha A, Arya D, Goel N (2009) Analysis of historical changes in rainfall in the Indian Himalayas. Int J Climatol 572:555–572CrossRefGoogle Scholar
  4. Birsan MV, Molnar P, Burlando P, Pfaundler M (2005) Streamflow trends in Switzerland. J Hydrol 314:312–329. doi: 10.1016/j.jhydrol.2005.06.008 CrossRefGoogle Scholar
  5. Bonaccorso B, Cancelliere A, Rossi G (2005) Detecting trends of extreme rainfall series in Sicily. Adv Geosci 2:7–11. doi: 10.5194/adgeo-2-7-2005 CrossRefGoogle Scholar
  6. Caloiero T, Coscarelli R, Ferrari E, Mancini M (2011) Trend detection of annual and seasonal rainfall in Calabria (Southern Italy). Int J Climato l 31:44–56. doi: 10.1002/joc.2055 CrossRefGoogle Scholar
  7. Cannarozzo M, Noto LV, Viola F (2006) Spatial distribution of rainfall trends in Sicily (1921–2000). Phys Chem Earth, Parts A/B/C 31:1201–1211. doi: 10.1016/j.pce.2006.03.022 CrossRefGoogle Scholar
  8. Cheung W, Senay G, Singh A (2008) Trends and spatial distribution of annual and seasonal rainfall in Ethiopia. Int J Atmos Environ. doi: 10.1002/joc Google Scholar
  9. Cunderlik J, Burn D (2004) Linkages between regional trends in monthly maximum flows and selected climatic variables. J Hydrol Eng 9(4):246–256CrossRefGoogle Scholar
  10. Department of Irrigation and Drainage Malaysia (2012) Hydrological data: rainfall records for west Malaysia 1970–2012 [data file]. Location: Water Resources Management and Hydrology Division. Department of Irrigation and Drainage, Kuala LumpurGoogle Scholar
  11. Douglas EM, Vogel RM, Kroll CN (2000) Trends in floods and low flows in the United States: impact of spatial correlation. J Hydrol 240:90–105CrossRefGoogle Scholar
  12. Hamed KH (2008) Trend detection in hydrologic data: the Mann–Kendall trend test under the scaling hypothesis. J Hydrol 349:350–363CrossRefGoogle Scholar
  13. Hamed K, Rao AR (1998) A modified Mann-Kendall trend test for autocorrelated data. J Hydrol 204:182–196. doi: 10.1016/S0022-1694(97)00125-X CrossRefGoogle Scholar
  14. Helsel DR, Hirsch RM (1992) Statistical methods in water resources. Elsevier, New York, p 548Google Scholar
  15. Hirsch RM, Slack JR, Smith RA (1982) Techniques of trend analysis for monthly water quality data. Water Resour Res 18:107–121. doi: 10.1029/WR018i001p00107 CrossRefGoogle Scholar
  16. Karpouzos D, Kavalieratou S, Babajimopoulos C (2010) Trend analysis of precipitation data in Pieria Region (Greece). Eur Water 30:31–40Google Scholar
  17. Lu GY, Wong DW (2008) An adaptive inverse-distance weighting spatial interpolation technique. Comput Geosci 34(9):1044–1055. doi: 10.1016/j.cageo.2007.07.010 CrossRefGoogle Scholar
  18. Malaysia Meteorological Department (2012) Rainfall records for Selangor State Malaysia 1970–2012 [data file]. Location: Record unit. Malaysia Meteorological Department, Kuala LumpurGoogle Scholar
  19. Novotny EV, Stefan HG (2007) Stream flow in Minnesota: indicator of climate change. J Hydrol 334:319–333. doi: 10.1016/j.jhydrol.2006.10.011 CrossRefGoogle Scholar
  20. Oguntunde PG, Abiodun BJ, Lischeid G (2011) Rainfall trends in Nigeria, 1901–2000. J Hydrol 411:207–218. doi: 10.1016/j.jhydrol.2011.09.037 CrossRefGoogle Scholar
  21. Partal T, Kahya E (2006) Trend analysis in Turkish precipitation data. Hydrol Process 20:2011–2026. doi: 10.1002/hyp.5993 CrossRefGoogle Scholar
  22. Sadri S, Madsen H, Mikkelsen PS, Burn DH (2009) Analysis of extreme rainfall trends in Denmark. In: Proceedings of the 33rd IAHR congress: water engineering for a sustainable environment, Vancouver, Canada, 9–14 August. International Association of Hydraulic Engineering and Research (IAHR), Madrid, pp 1731–1738Google Scholar
  23. Serrano A, Mateos VL, Garcia JA (1999) Trend analysis of monthly precipitation over the Iberian peninsula for the period 1921–1995. Phys Chem Earth, Part B: Hydrol, Ocean Atmos 24:85–90. doi: 10.1016/S1464-1909(98)00016-1 CrossRefGoogle Scholar
  24. Yue S, Hashino M (2003) Long term trends of annual and monthly precipitation in Japan 1. J Am Water Resour Assoc 39(3):587–596. doi: 10.1111/j.1752-1688.2003.tb03677.x CrossRefGoogle Scholar
  25. Yue S, Wang CY (2002) Regional streamflow trend detection with consideration of both temporal and spatial correlation. Int J Climatol 22:933–946. doi: 10.1002/joc.781 CrossRefGoogle Scholar
  26. Zoubi M, Rawi M (2008) An efficient approach for computing silhouette coefficients. J Comput Sci 4(3):252–255. doi: 10.3844/jcssp.2008.252.255 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Wien 2013

Authors and Affiliations

  • Narges Palizdan
    • 1
    Email author
  • Yashar Falamarzi
    • 1
  • Yuk Feng Huang
    • 2
  • Teang Shui Lee
    • 1
  • Abdul Halim Ghazali
    • 1
  1. 1.Faculty of EngineeringUniversiti Putra MalaysiaUPM SerdangMalaysia
  2. 2.Faculty of Engineering and ScienceUniversiti Tunku Abdul RahmanKuala LumpurMalaysia

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