Non-Stationary Modeling of Annual Flood Peak Heights of Mahanadi River Basin with the q-Generalized Extreme Value Distribution

S. Nagesh, Laxmi. B. Dharmannavar
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Abstract

In recent years, due to climate change, catastrophic events are increased largely in India. Hence researchers are forced to consider non-stationary flood frequency analysis as an improved method. In this paper, non-stationarity of annual daily maximum flood heights were studied at 12 sites of Mahanadi River Basin (MRB) by analyzing the flood frequency of a stationary model and 4 non-stationary models using time dependent q-GEV model by considering trend as a linear function of its location and scale parameters. The q-GEV distribution is utilized in this study because of its flexibility and accuracy than GEV distribution in modeling extreme flood heights. The results found that there is strong evidence of a linear trend existence for both the location and scale parameters at the Kesinga site; for the location parameter at Pathardi and Simga sites; for the scale parameter at Dharmajagarh, Kotni and Seorinarayan, and no linear trend exists for both location and scale parameters at Alipingal, Bomnidhi, Manendragarh, Mohana, Rajim and Sundargarh, there may be exists other form of trend at these sites. The findings also indicate that nonstationarity is present in the MRB due to climate change, which help to water practitioner for taking precautions against adverse effect of extreme floods.
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利用 q 广义极值分布对马哈纳迪河流域年洪峰高度进行非静态建模
近年来,由于气候变化,印度的灾难性事件大量增加。因此,研究人员不得不考虑将非稳态洪水频率分析作为一种改进方法。本文使用与时间相关的 q-GEV 模型,将趋势视为其位置和尺度参数的线性函数,通过分析一个静态模型和 4 个非静态模型的洪水频率,研究了马哈纳迪河流域(MRB)12 个地点的年日最大洪水高度的非静态性。由于 q-GEV 分布比 GEV 分布在极端洪水高度建模方面更具灵活性和准确性,因此本研究采用了 q-GEV 分布。结果发现,Kesinga 站点的位置参数和尺度参数均存在线性趋势;Pathardi 和 Simga 站点的位置参数存在线性趋势;Dharmajagarh、Kotni 和 Seorinarayan 站点的尺度参数存在线性趋势;而 Alipingal、Bomnidhi、Manendragarh、Mohana、Rajim 和 Sundargarh 站点的位置参数和尺度参数均不存在线性趋势,这些站点可能存在其他形式的趋势。研究结果还表明,由于气候变化,MRB 中存在非平稳性,这有助于水利工作者采取预防措施,防止极端洪水的不利影响。
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