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首页> 外文期刊>Hydrology and Earth System Sciences >A daily salt balance model for stream salinity generation processes following partial clearing from forest to pasture
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A daily salt balance model for stream salinity generation processes following partial clearing from forest to pasture

机译:从森林到牧场的部分清除后,溪流盐分生成过程的每日盐分平衡模型

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We developed a coupled salt and water balance model to represent the stream salinity generation process following land use changes. The conceptual model consists,of three main components with five stores: (i) Dry, Wet and Subsurface Stores, (ii) a saturated Groundwater Store and (iii) a transient Stream zone Store. The Dry and Wet Stores represent the salt and water movement in the unsaturated zone and also the near-stream dynamic saturated areas, responsible for the generation of salt flux associated with surface runoff and interflow. The unsaturated Subsurface Store represents the salt bulge and the salt fluxes. The Groundwater Store comes into play when the groundwater level is at or above the stream invert and quantifies the salt fluxes to the Stream zone Store. In the stream zone module, we consider a "free mixing" between the salt brought about by surface runoff, interflow and groundwater flow. Salt accumulation on the surface due to evaporation and its flushing by initial winter flow is also incorporated in the Stream zone Store. ne salt balance model was calibrated sequentially following successful application of the water balance model. Initial salt stores were estimated from measured salt profile data. We incorporated two lumped parameters to represent the complex chemical processes like diffusion-dilution-dispersion and salt fluxes due to preferential flow. The model has performed very well in simulating stream salinity generation processes observed at Ernies and Lemon experimental catchments in south west of Western Australia. The simulated and observed stream salinity and salt loads compare very well throughout the study period with NSE of 0.7 and 0.4 for Ernies and Lemon catchment respectively. The model slightly over predicted annual stream salt load by 6.2% and 6.8%.
机译:我们开发了盐和水平衡耦合模型,以表示土地利用变化后溪流盐分的产生过程。该概念模型由三个主要部分组成,其中包括五个存储区:(i)干,湿和地下存储区,(ii)饱和地下水存储区和(iii)过渡流区存储区。干湿库表示盐和水在非饱和区以及近流动态饱和区中的运动,它们负责与表面径流和内流有关的盐通量的产生。不饱和地下储层代表盐胀和盐通量。当地下水位等于或高于溪流时,地下水库开始发挥作用,并量化流向溪流区库的盐通量。在流区模块中,我们考虑了由地表径流,内流和地下水流带来的盐之间的“自由混合”。由于蒸发和最初的冬季流量冲刷造成的盐分在地表的积聚,也被纳入了“河带存储区”。在成功应用水平衡模型后,依次校准盐平衡模型。根据测得的盐剖面数据估算初始盐存储量。我们结合了两个集总参数来表示复杂的化学过程,例如由于优先流动而引起的扩散-稀释-分散和盐通量。该模型在模拟西澳大利亚州西南部的Ernies和Lemon实验流域观察到的流盐度生成过程中表现非常出色。在整个研究期间,模拟和观察到的溪流盐度和盐分负荷比较好,厄尼河和柠檬流域的NSE分别为0.7和0.4。该模型略高于预计的年度溪流含盐量6.2%和6.8%。

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