Forecasting water discharges of the river Marmarik (Armenia) according to the kinematic wave equation

E. Gaidukova, V. Margaryan, I. Vinokurov, Amalia Misakyan, M. Kuleshova
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Abstract

The article provides an overview of methods for short-term forecasting of water flow in mountain rivers based on physical-statistical and regression equations, conceptual approaches. Requirements for forecast models for the Armenian rivers are noted, which correspond to the kinematic wave model, but so far there are no forecast results for the Armenian rivers using this model. The purpose of the study was to test a mathematical model of a kinematic wave for a short-term forecast of water discharges on the mountainous Armenian river Marmarik. The model of a kinematic wave can be obtained after simplifying the model of channel runoff in a general form, i.e., after excluding from consideration deformations, local constant and variable backwaters from narrowing of channels, confluence of rivers, surge phenomena, and also after excluding the influence of the lower boundary condition, which is responsible for the characteristic of the diffusion spreading of the flood wave. A kinematic wave model was tested on the Marmarik River, which is an important water body in Armenia. We used series of observations of urgent water discharges during the spring flood from April 1 to June 30 for 2015—2018 at the top of the river Marmarik — Hankavan settlement, lower alignment — Aghavnadzor settlement and at the alignment on the main tributary of the river Gomraget — Meghradzor village. It was found that in the dynamic parametrization of the model, the anthropogenic impact should be introduced as an additional parameter. The obtained values of water discharges when making verification forecasts in the aggregate characterize the kinematic wave model as an effective approach according to the criteria for assessing the quality of forecast methods of the Hydrometeorological Center and Nash—Sutcliffe. The kinematic wave model is easy to use with a small amount of initial information without meteorological data, which will facilitate its implementation for practical applications.
根据运动波动方程预测亚美尼亚马尔马利克河的水量
本文综述了基于物理统计、回归方程和概念方法的山地河流短期流量预报方法。指出了对亚美尼亚河流预报模型的要求,这些模型与运动波模型相对应,但到目前为止还没有使用该模型对亚美尼亚河流进行预报的结果。这项研究的目的是测试一种运动波的数学模型,以便对亚美尼亚山区的马尔马里克河的水量进行短期预报。将河道径流模型进行一般形式的简化,即不考虑变形、河道变窄、河流汇流、激流现象引起的局部常变回水,也不考虑造成洪水波扩散扩散特性的下边界条件的影响,就可以得到运动波的模型。在亚美尼亚重要水体马尔马利克河上建立了运动波模型。我们使用了2015-2018年4月1日至6月30日春洪期间在Marmarik河顶部- Hankavan定居点、下游- Aghavnadzor定居点和Gomraget河主要支流- Meghradzor村的一系列紧急排水观测数据。研究发现,在模型的动态参数化中,应引入人为影响作为附加参数。根据水文气象中心和Nash-Sutcliffe预报方法质量评价标准,在总体上验证预报时获得的径流量值表明运动波模型是一种有效的预报方法。运动波模型在没有气象资料的情况下,初始信息较少,使用方便,有利于实际应用的实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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