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首页> 外文期刊>Environmental earth sciences >Hydrologic processes simulation using the conceptual model Zygos: the example of Xynias drained Lake catchment (central Greece)
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Hydrologic processes simulation using the conceptual model Zygos: the example of Xynias drained Lake catchment (central Greece)

机译:使用概念模型Zygos进行水文过程模拟:以Xynias排水的湖泊集水区为例(希腊中部)

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In the catchment of Xynias drained Lake, hydrologic processes simulation took place using a lumped approach with the conceptual model Zygos. The model implements a conceptual soil moisture accounting scheme extended with a groundwater tank and the input data were the monthly time series of rainfall and the potential evapotranspiration. The automatic optimization procedure of the model was implemented using the evolutionary annealing-simplex algorithm for maximum 11,000 iterations, inserting an 18-month observed runoff time series. It showed that hydrologic balance factors had non-physical significance for the study area. The model's manual calibration for a Nash coefficient of 0.85 revealed that actual evapotranspiration constitutes 62.5 % (389.7 mm), runoff 22.7 % (141.8 mm) and infiltration 14.8 % (92.2 mm) of precipitation, showing optimal adaptation of simulated to observed runoff. The model estimated the initial reserve of soil moisture related to the presence of organic matter which increases water retention, a residue of the former lake. It confirmed zero runoff values during the summer months and connected the occurrence of springs and the outflows to other catchments (59.8 mm) with the karstification degree of the study area. The error on the annual rainfall is 4.9 % and is considered acceptable.
机译:在Xynias排水湖流域,采用概念模型Zygos的集总方法进行了水文过程模拟。该模型实施了一个概念性的土壤水分核算方案,并扩展了一个地下水箱,输入数据为每月的降雨序列和潜在的蒸散量。该模型的自动优化程序是使用进化退火-简单算法进行的,最大迭代次数为11,000次,插入了一个18个月的观测径流时间序列。结果表明,水文平衡因子对研究区域没有物理意义。该模型对Nash系数为0.85的手动校准显示,实际蒸散量占降水量的62.5%(389.7毫米),降水量22.7%(141.8毫米)和入渗量14.8%(92.2毫米),显示了模拟对观测径流的最佳适应性。该模型估计了与有机物的存在有关的土壤水分的初始储备,有机物的存在增加了水的保留,而前者是湖泊的残留物。它确定了夏季的零径流值,并将春季的发生和流出到其他流域(59.8毫米)与研究区的岩溶程度联系起来。年降雨量的误差为4.9%,被认为是可以接受的。

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