孟加拉国帕德玛河低流量评价

Md. Abu Sayed, A. Akter
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引用次数: 0

摘要

低流量或环境流量(EF)评估对于确保河流和生态系统保持健康至关重要。自然和人为的干预都可能改变一条河流。因此,本研究通过应用水文工程中心河流分析系统(HEC-RAS)对孟加拉国帕德玛河(Padma River)著名的Hilsa养殖中心的流量和水位进行模拟,得出了该中心的EF需求。对2000-2019年的20年历史数据进行频率分析,采用Log-Pearson Type III (LP-III)分布方法,对近10年(2012-2019年)进行一维非定常流场模拟。随后,HEC-RAS模拟水位值与Baruria Transit、Mawa、Tarpasha、Sureswar 4个站点的野外观测值具有较好的相关性,决定系数R2=0.86、0.83、0.92和0.74,模拟最低水位分别为1.57 m、0.37 m、0.30 m和0.27 m。Baruria Transit和Mawa的模拟流量与野外观测值具有较好的相关性,R2=0.70和0.61,模拟的最小流量分别为3849.51 m3/s和3789.14 m3/s。根据频率分析,Baruria Transit站在5、10、20、50和100 a的最小流量分别为4017 m3/s、3685 m3/s、3449 m3/s、3229 m3/s、3113 m3/s, Mawa站在3304 m3/s、2781 m3/s、2438 m3/s、2141 m3/s、1992 m3/s。这项研究忽略了对正在进行的水质问题调查的报道。因此,本研究有望为研究河流中健康的Hilsha鱼类栖息地和饮用地表水提供所需的EF量。上述方法也适用于世界上其他类似的河流。
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The Low Flow Assessment of Padma River in Bangladesh
Low flow or Environmental Flow (EF) assessment is vital to ensure the river and ecosystem remain healthy. Both natural and human interventions might alter a river. Therefore, this study presents EF requirements of the famous Hilsa breeding center in the Padma River, Bangladesh, by applying the Hydrologic Engineering Centers River Analysis System (HEC-RAS) for discharge and water surface levels simulations at different stations. The frequency analysis of 20 years of historical data, spanning 2000-2019, used the Log-Pearson Type III (LP-III) distribution method, while the one-dimensional unsteady flow simulation was performed for the last 10 years (i.e., 2012-2019). Subsequently, the HEC-RAS simulated water level values reasonably correlated with the field observations at four stations, namely Baruria Transit, Mawa, Tarpasha, Sureswar, with Coefficient of determination R2=0.86, 0.83, 0.92, and 0.74, alongside simulated minimum water surface levels of 1.57 m, 0.37 m, 0.30 m, and 0.27 m, respectively. Also, the Baruria Transit and Mawa had simulated flows that reasonably correlated with the field observations at R2=0.70 and 0.61, with a simulated minimum flow of 3849.51 m3/s and 3789.14 m3/s, respectively. The minimum flow according to the frequency analysis was 4017 m3/s, 3685 m3/s, 3449 m3/s, 3229 m3/s, and 3113 m3/s at Baruria Transit and 3304 m3/s, 2781 m3/s, 2438 m3/s, 2141 m3/s, 1992 m3/s at Mawa station in 5, 10, 20, 50 and 100 years return periods, respectively. This study overlooked to report the ongoing investigations into the water quality issues. Thus, this study is expected to guide the required EF quantity towards a healthy Hilsha fish habitat and surface water source for drinking purposes in this studied river. The stated method is also applicable to other similar rivers around the world.
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