PROBABILITY MODELING OF LOW FLOWS AT DIFFERENT SITES OF INDUS BASIN IN PAKISTAN USING L-MOMENTS AND TL-MOMENTS

None I. Ahmad
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Abstract

At-site Frequency Analysis (ASFA) of low flow was carried out for nine sites ofIndus basin in Pakistan. In the present study, 10-day annual low flow series were analyzed by robustestimation methods such as Method of L-moment (ML) and TL-moment (MTL) to identify best fitprobability distributions for each site. Best distribution for each site was identified using differentgoodness-of-fit Tests (GFT). No single probability distribution was declared as the best-fit distributionfor all sites included in the plan. The GFT results indicated GPA was the most appropriate distributionfor most of the sites followed by GLO and GEV distributions. On comparison, it was found that formost of the sites ML was best estimation method and for others MTL. For ASFA, the quantiles of bestfit distribution were also estimated. It was found that estimated low flows based on fitted distributionwere in close agreement with observed flows.
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利用l -矩和l -矩对巴基斯坦印度河流域不同地点低流量的概率模拟
对巴基斯坦findus盆地的9个站点进行了低流量现场频率分析(ASFA)。本研究利用l -矩法(ML)和tl -矩法(MTL)等鲁棒估计方法分析了10天的年低流量序列,以确定每个站点的最佳拟合概率分布。使用不同的拟合优度检验(GFT)确定每个站点的最佳分布。没有一个单一的概率分布被宣布为计划中所有地点的最佳拟合分布。GFT结果表明,GPA是大多数站点最合适的分布,其次是GLO和GEV分布。比较发现,对于大多数站点,ML是最好的估计方法,而对于其他站点,MTL是最好的估计方法。对于ASFA,还估计了最佳拟合分布的分位数。结果发现,根据拟合分布估计的低流量与观测流量非常吻合。
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