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Application of the Regional Flood Frequency Analysis to the Upper and Lower Basins of the Indus River, Pakistan

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  • Zamir Hussain

Abstract

The paper presents results of an application of the L-moments based regional flood frequency analysis to annual maximum peak (AMP) flows observed at seven stations (Tarbela, Kalabagh, Chashma, Taunsa, Guddu, Sukkur and Kotri) located on the main stream of the Indus River, Pakistan. The results of Run-test and lag-1 correlation coefficient showed that the data series at given sites is random and has no serious serial correlations respectively. Furthermore, the results of Grubbs and Beck test illustrated that there are no irregularities (abrupt variations) except low outlier(s) in the data series at various sites. To avoid their undue influence, these low outliers have been discarded and the sample information has been re-summarized using the idea of left censored type A ′ partial probability weighted moments. L-moments based regional heterogeneity measure (H) showed that the region, defined by seven stations, is heterogeneous; therefore, it has been sub-divided into two homogeneous regions (Region 1 and Region 2 consist of four (Tarbela, Kalabagh, Chashma and Taunsa) and three sites (Guddu, Sukkur and Kotri, respectively) using Ward’s clustering method based on the site characteristics only. The results of various goodness-of-fit measures (L-moment ratio diagram, average weighted distance and Z DIST measures) showed that Region 1 has four candidates: generalized normal (GNO), generalized logistic (GLO), generalized extreme-value (GEV) and Pearson type III (PE3), while Region 2 has only one candidate; GLO, as regional distribution. Based on the results of different accuracy measures (regional average absolute relative bias, relative bias and relative root mean square error) of the estimated regional growth curves and quantiles, obtained from simulation experiments, PE3 is the robust distribution for Region 1, while for Region 2, GLO distribution can be used for the estimation of flood quantiles. Moreover, the results of the simulations study have been extended to obtain standard errors of the estimated quantiles at each site of the sub-divided homogeneous regions. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • Zamir Hussain, 2011. "Application of the Regional Flood Frequency Analysis to the Upper and Lower Basins of the Indus River, Pakistan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(11), pages 2797-2822, September.
    • Handle: RePEc:spr:waterr:v:25:y:2011:i:11:p:2797-2822
    DOI: 10.1007/s11269-011-9839-5
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    References listed on IDEAS

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    1. Elsayed Elamir & Allan Seheult, 2001. "Control charts based on linear combinations of order statistics," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(3-4), pages 457-468.
    2. Habib Abida & Manel Ellouze, 2006. "Hydrological Delineation of Homogeneous Regions in Tunisia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(6), pages 961-977, December.
    3. Betül Saf, 2009. "Regional Flood Frequency Analysis Using L-Moments for the West Mediterranean Region of Turkey," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(3), pages 531-551, February.
    4. Zamir Hussain & G. Pasha, 2009. "Regional Flood Frequency Analysis of the Seven Sites of Punjab, Pakistan, Using L-Moments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(10), pages 1917-1933, August.
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    1. Ameer Hyder & Nasir Iqbal, 2016. "Socio-Economic Losses of Flood and Household’s Coping Strategies: Evidence from Flood Prone District of Pakistan," PIDE-Working Papers 2016:142, Pakistan Institute of Development Economics.
    2. J. Ayuso-Muñoz & A. García-Marín & P. Ayuso-Ruiz & J. Estévez & R. Pizarro-Tapia & E. Taguas, 2015. "A More Efficient Rainfall Intensity-Duration-Frequency Relationship by Using an “at-site” Regional Frequency Analysis: Application at Mediterranean Climate Locations," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3243-3263, July.
    3. Yuyin Liang & Shuguang Liu & Yiping Guo & Hong Hua, 2017. "L-Moment-Based Regional Frequency Analysis of Annual Extreme Precipitation and its Uncertainty Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 3899-3919, September.
    4. Zamir Hussain, 2017. "Estimation of flood quantiles at gauged and ungauged sites of the four major rivers of Punjab, Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 107-123, March.
    5. José Sena & Leandro Beser de Deus & Marcos Freitas & Lazaro Costa, 2012. "Extreme Events of Droughts and Floods in Amazonia: 2005 and 2009," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1665-1676, April.

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