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A predictive model for salt intrusion in estuaries applied to the Yangtze estuary

机译:长江口盐浸入河口预测模型

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Understanding the way salinity distribution in an estuary reacts to external drivers (e.g., tide, fresh water discharge, dredging, etc.) is important for both water quality and water resources management in estuaries. The salinity distribution depends strongly on the geometry of an estuary, but also on the fresh water discharge that counteracts the salt intrusion. In estuaries it is notoriously hard to estimate this discharge and subsequently to predict the parameters that determine the mixing behaviour depending on it. Recently a method has been developed to predict the fresh water discharge on the basis of water level observations. In addition, predictive equations for tidal mixing have been updated and revised. In this paper, these two predictive methods are combined and subsequently applied to the Yangtze estuary under a wide variation of fresh water discharge. The predicted salt distribution appears to be in good agreement with observations. To provide insight into the optimum use of water resources (e.g., to determine the amount of fresh water discharge required to maintain a specific salt intrusion length), we further study the salt intrusion pattern under different tide and fresh water discharge conditions. (C) 2015 Elsevier B.V. All rights reserved.
机译:了解河口盐分分布对外部驱动力(例如潮汐,淡水排放,疏ging等)的反应方式对于河口的水质和水资源管理都至关重要。盐度分布在很大程度上取决于河口的几何形状,但也取决于抵消盐分侵入的淡水排放。在河口,众所周知,很难估算出该排放量,然后很难预测根据其确定混合性能的参数。近来,已经开发了一种基于水位观察来预测淡水排放的方法。此外,潮汐混合的预测方程已更新和修订。本文将这两种预测方法结合起来,随后在淡水排放量变化很大的情况下应用于长江口。预测的盐分分布似乎与观测值非常吻合。为了提供对水资源最佳利用的见解(例如,确定维持特定盐分侵入长度所需的淡水排放量),我们进一步研究了在不同潮汐和淡水排放条件下的盐分侵入模式。 (C)2015 Elsevier B.V.保留所有权利。

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