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Physically based distributed hydrological modelling of the Upper Jordan catchment and investigation of effective model equations

机译:乔丹河上游流域的基于物理的分布式水文建模和有效模型方程的研究

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摘要

Sufficient freshwater availability in the water scarce environment of theUpper Jordan Catchment (UJC) is a central prerequisite for peacefulagricultural and industrial development. Hydrological modelling is requiredto understand terrestrial water balance and to provide scientifically soundestimates on water availability.

This article aims at two related objectives: First the water balance of theUJC, a hydrogeologically complex catchment located at the borders of Israel,Syria and the Lebanon, is investigated. It is for the first time that aphysically based model is set up for this region that accounts both for theentire terrestrial water balance and in particular for thegroundwater-surface water interaction. It is shown that the model is able todescribe observed river discharges satisfactorily.

Secondly, it is investigated if observed and simulated runoff components canbe explained by simple lumped approaches based on 1) linear filter theoryand 2) neural networks and what the number of degrees of freedom for therunoff components is. It is exemplary shown for the Ayun subcatchment of theUJC that the simulated river discharge, the direct runoff component and the interflowrunoff component as modelled by the physically based distributedhydrological model WaSiM can be described by simple effective equations with only3 to 5 degrees of freedom. Application of simple lumped approaches toobserved river discharge values showed much weaker performance.

机译:在约旦河上游流域(UJC)缺水的环境中,充足的淡水供应是和平农业和工业发展的主要前提。需要水文模型来了解陆地水平衡并提供科学的水可利用性估算。

本文旨在实现两个相关目标:首先,UJC的水平衡是位于以色列,叙利亚和黎巴嫩边界的水文地质复杂集水区。 ,被调查。首次为该区域建立了基于植物的模型,该模型既考虑了整个陆地的水平衡,又特别考虑了地下水与地表水的相互作用。其次,研究了基于1)线性滤波理论和2)神经网络的简单集总方法是否可以解释观测和模拟的径流组成部分,研究了该模型的有效性。径流分量的自由度是。 UJC的Ayun子汇水区示例性地显示,由基于物理的分布式水文模型WaSiM建模的模拟河流流量,直接径流分量和径流间径流分量可以通过简单的有效方程式描述,其中仅3至5个自由度。将简单的集总方法应用于可观测的河流流量值显示出较弱的性能。

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