水文模型的水平衡计算能力

Hop Quang Tran, Z. Fehér
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引用次数: 1

摘要

目前,为了解决与水循环有关的问题,世界上建立和发展了许多不同的水文模型。每个模型都有其特定的数学基础来描述自然界中的物理过程。因此,每个模型都有其不同的特点:建立模型、输入数据要求、模型校准和验证、输出结果。水平衡在农业水资源的有效管理和利用中仍然发挥着重要作用。根据水文参数的计算结果,可由用户自行计算或由各模型的分离模块计算研究流域的水量平衡。每种水文模型都有其优点和缺点。然而,要完全准确地模拟自然界中的水文过程和水平衡是不可能的。然而,模拟结果可以让我们看到水文成分的变化趋势和水平衡。模型开发人员正在逐步弥补不足,提高效率和精度,使模型能够以最高的精度模拟现实。本文综述了目前世界上广泛使用的15种水文模型。在本研究的框架内,只简要介绍了一些模型;其余的则从更多的方面和具体的例子中进行了更详细的考虑,以便读者可以自己决定哪种模型适合他们的研究领域和模拟需求,特别是在确定气候变化对农业部门的复杂和不可预测的影响时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Water balance calculation capability of hydrological models
Currently, in the world, there are many different hydrological models built and developed to solve problems related to the hydrological cycle. Each model has its specific mathematical foundations to describe physical processes in nature. Therefore, each model has its various characteristics: setting up the model, input data requirements, model calibration and verification, and output results. Water balance is still playing an important role in the effective management and use of water resources for agriculture. Based on the results of the hydrological parameter’s calculation, the water balance of the study basin can be calculated by the user or by the separated module of each model. Each hydrological models have its advantages and disadvantages. However, it is impossible to simulate hydrological processes and water balance completely accurately in nature. Still, simulation results can give us a view of the changing trend of hydrological components and the water balance. Model developers are gradually completing the shortcomings and improving the efficiency and accuracy so that the model can simulate reality with the highest accuracy. This paper sets out to review the fifteen hydrological models currently widely used in the world. Within the frame of the present study, some models are only briefly introduced; the rest are considered in more detail, from more aspects, from specific examples so that readers can decide for themselves which model is suitable for their study area and simulation needs, especially in the identity of the complex and unpredictable impacts of climate change on the agricultural sector.
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