Trend Analysis of Flood Peaks in Lower Reaches of Satluj River, Himachal Pradesh, India

Kumar, Sandeep; Santosh,

doi:10.18052/www.scipress.com/ILNS.46.60

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Trend Analysis of Flood Peaks in Lower Reaches of Satluj River, Himachal Pradesh, India

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Abstract:

Climate change arising from anthropogenic driven emissions of greenhouse gases has emerged as one of the most important environmental issues in the last two decades. One of the most significant potential consequences of climate change may be alteration in regional hydrological cycle and river flow regimes. Increased temperature is expected to increase the peak flows in snow-fed rivers of Himalayas. The changing pattern of regional temperature on flood peaks deserves urgent and systematic attention over a basin which provides an insight view of historical trends. Lower reaches of Satluj River is selected for the present study. Testing the significance of observed trends in flood peaks has received a great attention recently, especially in connection with climate change. The data series available was 48 years (1967-2010). The records were subjected to trend analysis by using both non-parametric (Mann-Kendall test) and parametric (linear regression analysis) procedures. For better understanding of the observed trends, flood peaks were computed into standardised flood peak indices (SFPI). These standardised data series were plotted against time and the linear trends observed were represented graphically. The analysis of flood peaks at different observation stations in lower reaches of Satluj River showed a large variability in the trends and magnitudes. The trend analysis results of flood peaks and gauge heights indicate that the flood peaks at all sites i.e. Rampur, Suni and Kasol show increasing but statistically insignificant trends. The trends in gauge height at all sites are also showing increasing trend but Kasol is statistically significant at 95% confidence level. The fast melting of glaciers, incessant monsoon rainfall and the synchronisation of the discharge peaks are the main causes of river floods. The past flood peaks will help us to observe the frequency of occurrence of floods in certain region and to determine whether the flood peaks in the past have been same with that of the present or whether there is any deviation in the trend in relation to climate change. Such studies will help in designing mitigation and adaptation strategies towards extreme hydrological events.

Info:

Periodical:

International Letters of Natural Sciences (Volume 46)

Pages:

60-75

DOI:

https://doi.org/10.18052/www.scipress.com/ILNS.46.60

Citation:

S. Kumar and Santosh, "Trend Analysis of Flood Peaks in Lower Reaches of Satluj River, Himachal Pradesh, India", International Letters of Natural Sciences, Vol. 46, pp. 60-75, 2015

Online since:

September 2015

Authors:

Sandeep Kumar, Santosh

Keywords:

Flood Peaks, Mann-Kendall Test, Regression, Satluj River Basin, Trend Analysis

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Open Access

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Creative Commons Attribution 4.0 International License

References:

S.K. Bartarya, N.S. Virdi, M.P. Sah (1996) Landslide hazards: Some case studies from the Satluj Valley, Himachal Pradesh: Himalayan Geology, 17: 193-207.

M. Bayazit, B. Önöz (2007) To pre-whiten or not to pre-whiten in trend analysis? Hydrological Sciences Journal, 52 (4): 611-624.

M.R. Bhutiyani, V.S. Kale, N.J. Pawar (2008) Changing streamflow patterns in the rivers of northwestern Himalaya: Implications of global warming in the 20th century, Current Science, 95 (5): 618-626.

D.H. Burn (1994) Hydrologic effects of climatic change in West-Central Canada, Journal of Hydrology, 160: 53-70.

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

D.H. Burn, J.M. Cunderlik, A. Pietroniro (2004) Hydrological trends and variability in the Liard river basin, Hydrological Science Journal, 49: 53-67.

A. Coudrain, B. Francou, Z.W. Kundzewick (2005) Glacier shrinkage in the Andes and consequences for water resources, Hydrological Sciences Journal, 50: 925-932.

D.R. Cox, A. Stuart (1955) Some quick sign tests for trend in location and dispersion, Biometrika, 42: 80-95.

J.M. Cunderlik, S.P. Simonovic (2005) Hydrological extremes in a southwestern Ontario river basin under future climate conditions, Hydrological Sciences Journal, 50: 631-654.

E.J. Dietz, T.J. Killeen (1981) A nonparametric multivariate test for monotone trend with pharmaceutical applications, Journal of the American Statistical Association, 76: 169-174.

E.M. Douglas, R.M. Vogel, C.N. Knoll (2000) Trends in flood and low flows in the United States: impact of spatial correlation, Journal of Hydrology, 240: 90-105.

R.O. Gilbert (1987) Statistical methods for environmental pollution monitoring, Van Nostrand Reinhold, New York.

V. Gupta, M.P. Sah, N.S. Virdi, S.K. Bartarya (1994) Landslide hazard zonation in the Upper Satluj Valley, District. Kinnaur, Himachal Pradesh, Journal of Himalayan Geology, 4(1): 81-93.

J.P. Hamilton, G.S. Whitelaw, A. Fenech (2001) Mean annual temperature and annual precipitation trends at Canadian biosphere reserves, Environmental Monitoring and Assessment 67: 239-275.

D.R. Helsel, R.M. Hirsch (1992) Statistical Methods in Water Resources, Elsevier, New York.

R.M. Hirsch, J.R. Slack (1984) Non-parametric trend test for seasonal data with serial dependence, Water Resources Research, 20(6): 727-732.

R.M. Hirsch, J.R. Slack, R.A. Smith (1982) Techniques of trend analysis for monthly water quality data, Water Resources Research, 18: 107-121.

M.G. Kendall (1975) Rank Correlation Methods, Griffin, London.

Z.W. Kundzewicz, U. Ulbrich, T. r cher, D. Graczyk, A. Kr ger, G. Leckebusch, L. Menzel, I. Pi ns war, M. Radziejewski, M. Swzed (2005) Summer floods in Central Europe: climate change track? Natural Hazards, 36: 165-189.

Z. Li, F. Zheng, W. Liu, D.C. Flanagan (2010) Spatial distribution and temporal trends of extreme temperature and precipitation events on the Loess Plateau of China during 1961-2007, Quaternary International, 226: 92-100.

A. Loukas, L. Vasiliades, N.R. Dalezios (2004) Climate change implications on flood response of a mountainous watershed, Water, Air and Soil Pollution, 4: 331-347.

H.B. Mann (1945) Nonparametric tests against trend, Econometrica 13: 245-259.

P.C.D. Milly, R.T. Wetherald, K.A. Dunne, T.L. Delworth (2002) Increasing risk of great floods in a changing climate, Nature, 415: 514-517.

M.M.Q. Mirza (2002) Global warning and changes in the probability of floods in Bangladesh and implication, Global Environmental Change, 12(2): 127-138.

E.V. Novotny, H.G. Stefan (2007) Stream flow in Minnesota: Indicator of climate change, Journal of Hydrology, 334: 319- 333.

T. Partal, E. Kahya (2006) Trend analysis in Turkish precipitation data, Hydrological Processes, 20: 2011-(2026).

J.D. Salas (1992) Analysis and modeling of hydrologic time series, In: Handbook of Hydrology, Maidment DR (ed). McGraw-Hill: New York, 19. 1-19. 72.

Y. Shang, Z. Yang, L. Li, D. Liu, Q. Liao, Y. Wang (2003) A super-large landslide in Tibet in 2000: background, occurrence, disaster and origin, Geomorphology, 54: 225-243.

H. Tabari, S. Marofi (2010) Changes of pan evaporation in the West of Iran, Water Resources Management, doi: 10. 1007/s11269-010-9689-6.

H. Tabari, S. Marofi, M. Ahmadi (2010a) Long-term variations of water quality parameters in the Maroon River, Iran, Environmental Monitoring and Assessment, doi: 10. 1007/s10661-0101633-y.

H. Tabari, S. Marofi, P. Hosseinzadeh Talaee, K. Mohammadi (2010b) Trend analysis of reference evapotranspiration in the western half of Iran, Agricultural and Forest Meteorology, doi: 10. 1016/j. agrformet. 2010. 09. 009.

D. Viviroli, D.R. Archer, D. Buytaert, H.J. Fowler, G.W. Greenwood, A.F. Hamlet, Y. Huang, G. Koboltschnig, M.I. Litaor, J.I. L´opez-Moreno, S. Lorentz, B. Sch¨adler, K. Schwaiger, M. Vuille, R. Woods (2010).

H. Von Storch (1995) Misuses of Statistical Analysis in Climate Research, In: Von Storch H and Navarra A (eds. ), Analysis of Climate Variability: Applications of Statistical Techniques. Springer-Verlag, Berlin, pp.11-26.

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

Y.S. Yu, S. Zou, D. Whittemore (1993) Non-parametric trend analysis of water quality data of rivers in Kansas, Journal of Hydrology, 150: 61-80.

S. Yue, P. Pilon (2004) A comparison of the power of the t test, Mann-Kendall and bootstrap tests for trend detection, Hydrological Sciences Journal-des Sciences Hydrologiques, 49(1): 2137.

S. Yue, C. Wang (2004) The Mann-Kendall Test Modified by Effective Sample Size to Detect Trend in Serially Correlated Hydrological Series, Water Resources Management, 18: 201-218.

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

W. Zhang, Y. Yan, J. Zheng, L. Li, X. Dong, H. Cai (2009) Temporal and spatial variability of annual extreme water level in the Pearl River Delta region, China, Global and Planetary Change, 69: 35-47.

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