TREND ANALYSIS OF RAINFALL FREQUENCY OF MAKASSAR

Wahidah Sanusi(1*),

(1) Universitas Negeri Makassar
(*) Corresponding Author




DOI: https://doi.org/10.26858/ijfs.v3i1.4376

Abstract


Penelitian ini bertujuan untuk mengetahui keberadaan trend dalam data runtun waktu frekuensi curah hujan kota Makassar. Dalam penelitian ini indikator yang digunakan adalah frekuensi bulan basah/kering setiap tahun. Data yang digunakan berasal dari empat stasiun hujan di kota Makassar untuk perode 1985 sampai 2014. Keempat stasiun hujan tersebut adalah masing-masing stasiun Paotere, stasiun Biring Romang, stasiun BBMKG region IV dan stasiun Ujung Pandang. Uji Mann-Kendall digunakan untuk mendeteksi keberadaan trend dalam data. Jika data saling berkorelasi, maka digunakan prosedur prewhitening sebelum menggunakan uji Mann-Kendall. Hasil penelitian menunjukkan bahwa trend meningkat telah terjadi di stasiun BBMKG, sementara trend menurun dideteksi telah terjadi di stasiun Ujung Pandang. Hasil penelitian ini diharapkan dapat menjadi informasi yang berguna bagi pengelolaan sumber air

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References


Burn, D.H. & Elnur, M.A.H. 2002. Detection of hydrologic trends and variability. Journal of Hydrology 255: 107-122.

Deni, S. M., Jamaluddin, S., Zin, W. Z. W. & Jemain, A. A. 2010. Spatial trends of dry spells over Peninsular Malaysia during monsoon seasons. Theor. App.l Climatol. 99: 357-371.

Douglas, E.M., Vogel, R.M. & Kroll, C.N. 2000. Trends in floods and low flows in the United States: impact of spatial correlation. J. Hydrol. 240: 90–105.

Hong, W., Leen-Kiat, S., Samal, A. & Xun-Hong, C. 2008. Trend analysis of streamflow drought events in Nebraska. Water. Resour. Manage. 22: 45-164.

Jamaluddin, S., Deni, S.M., Wan Zin, W.Z. & Jemain, A.A., 2010. Spatial patterns and trends of daily rainfall regime in Peninsular Malaysia during the southwest and northeast monsoon seasons: 1975-2004. Meteorological Atmospheric Physics 110: 1-18.

Juan D., Jian F., Wei X. & Peijun S. 2012. Analysis of dry/wet conditions using the standardized precipitation index and its potential usefulness for drought/flood monitoring in Hunan Province, China. Stoch. Environ. Res. Risk. Assess., doi: 10.1007/s00477-012-0589-6.

Karpouzos, D.K., Kavalieratou, S. & Babajimopoulos, C. 2010. Trend analysis of precipitation data in Pieria region (Greece). European Water 30: 31-40.

Kendall. M.G. 1975. Rank Correlation Methods. 4th Ed. London: Charles Griffin.

Kulkarni, A. & Von Storch, H. 1995. Monte Carlo experiments on the effect of serial correlation on the Mann–Kendall test of trend, Meteorologische Zeitschrift 4(2): 82–85.

Sanusi, W. 2017. Profil karakteristik curah hujan kota Makassar. Prosiding Seminar Nasional Lembaga Penelitian UNM. 356-358. http://ojs.unm.ac.id/index.php/semnaslemlit/index

Shahid, S. 2010. Rainfall variability and the trends of wet and dry

periods in Bangladesh. Int. J. Climatol. 38: 2299-2313.

Von Storch, H. & Navarra, A. 1995. Analysis of Climate Variability: Application of Statistical Techniques. Springer-Verlag: New York.

Yue, S., Pilon, P. & Phinney, B. 2003. Canadian streamflow trend detection: impacts of serial and cross-correlation. Hydrological Sciences 48(1): 51-63.

Yue, S., Pilon, P., Phinney, B. & Cavadias, G. 2002. The influence of autocorrelation on the ability to detect trend in hydrological series. Hydrol Process 16: 1807-1829.

Yusof, F., Hui-Mean, F., Jamaluddin, S., Yusof, Z. & Ching-Yee, K. 2013. Rainfall characterization by application of standardized precipitation index (SPI) in Peninsular Malaysia. Theoretical and Applied Climatology. doi: 10.1007/s00704-013-091849.

Yusof, F., Hui-Mean, F., Suhaila, S. & Ching-Yee, K. 2012. Trend analysis for drought event in Peninsular Malaysia. Jurnal Teknologi 57: 211-218.

Zhang, X., Harvey, K.D., Hogg, W.D. & Yuzyk, T.R. 2001. Trends in Canadian streamflow, Water Resour. Res. 37(4): 987–998.

Zhang, X., Vincent, L.A., Hogg, W.D. & Nitsoo, A. 2000. Temperature and precipitation trends in Canada during the 20th century. Atmosphere Ocean 38(3): 395–429.


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