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首页> 外文期刊>Hydrological sciences journal >Coupling snow accumulation and melt rate modules of monthly water balance models with the Jazim monthly water balance model
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Coupling snow accumulation and melt rate modules of monthly water balance models with the Jazim monthly water balance model

机译:月水平衡模型的积雪和融化速率模块与贾兹姆月水平衡模型的耦合

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Several models for simulation of water balance processes in semi-arid mountainous basins were developed by coupling different modules of existing water balance models (WBM). Snow accumulation and snowmelt rate relationships extracted from the McCabe-Markstrom, Guo, Rao-Al Wagdany and WASMOD-M WBMs, originally developed for basins with humid climate, were coupled with the Jazim WBM, primarily developed for arid basins. Karaj Basin, central Iran, with snowy autumn-winter and dry summer periods, was selected to assess model performance. The model parameters were optimized using a genetic algorithm (GA). All coupled models performed better than the non-modified (original) WBMs in the study basin. The coupled Jazim-McCabe-Markstrom model provided the best performance in simulating low and high monthly flows. It estimated the snowmelt runoff values more accurately than other proposed coupled models because the linear relationships used in the snow module of the McCabe-Markstrom model are more compatible with snow variations in the Karaj Basin.
机译:通过耦合现有水平衡模型(WBM)的不同模块,开发了几种模拟半干旱山区盆地水平衡过程的模型。从最初为潮湿气候盆地开发的McCabe-Markstrom,Guo,Rao-Al Wagdany和WASMOD-M WBM提取的积雪和融雪速率关系与主要为干旱盆地开发的Jazim WBM结合使用。选择伊朗中部的Karaj盆地,以秋冬多雪和夏季干燥的天气来评估模型性能。使用遗传算法(GA)优化模型参数。在研究盆地中,所有耦合模型的性能均优于未修改的(原始)WBM。耦合的Jazim-McCabe-Markstrom模型在模拟低流量和高流量时提供了最佳性能。它估计的融雪径流值比其他建议的耦合模型更准确,因为在McCabe-Markstrom模型的积雪模块中使用的线性关系与Karaj盆地的积雪变化更兼容。

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