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Modeling suspended sediment sources and transport in the Ishikari River basin, Japan, using SPARROW

机译:使用SPARROW对日本石狩河流域的悬浮沉积物来源和运输进行建模

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It is important to understand the mechanisms that control the fate and transport of suspended sediment (SS) in rivers, because high suspended sediment loads have significant impacts on riverine hydroecology. In this study, the SPARROW (SPAtially Referenced Regression on Watershed Attributes) watershed model was applied to estimate the sources and transport of SS in surface waters of the Ishikari River basin (14 330 km(2)), the largest watershed in Hokkaido, Japan. The final developed SPARROW model has four source variables (developing lands, forest lands, agricultural lands, and stream channels), three landscape delivery variables (slope, soil permeability, and precipitation), two in-stream loss coefficients, including small streams (streams with drainage area < 200 km(2)) and large streams, and reservoir attenuation. The model was calibrated using measurements of SS from 31 monitoring sites of mixed spatial data on topography, soils and stream hydrography. Calibration results explain approximately 96% (R-2) of the spatial variability in the natural logarithm mean annual SS flux (kg yr(-1)) and display relatively small prediction errors at the 31 monitoring stations. Results show that developing land is associated with the largest sediment yield at around 1006 kg km(-2) yr(-1), followed by agricultural land (234 kg km(-2) yr(-1)). Estimation of incremental yields shows that 35% comes from agricultural lands, 23% from forested lands, 23% from developing lands, and 19% from stream channels. The results of this study improve our understanding of sediment production and transportation in the Ishikari River basin in general, which will benefit both the scientific and management communities in safeguarding water resources.
机译:重要的是要了解控制河流中悬浮泥沙(SS)的命运和运输的机制,因为高悬浮泥沙负荷会对河流水生态产生重大影响。在这项研究中,应用了SPARROW(流域属性的空间参考回归)流域模型来估算日本北海道最大流域石狩河流域(14330 km(2))地表水中SS的来源和迁移。 。最终开发的SPARROW模型具有四个源变量(开发用地,林地,农业用地和河流通道),三个景观传递变量(坡度,土壤渗透性和降水量),两个流损失系数,包括小流(流排水面积<200 km(2)),大溪流和储层衰减。使用来自31个监测站点的SS的测量值对模型进行了校准,该监测站点包括地形,土壤和河流水文方面的混合空间数据。校准结果解释了自然对数年均SS通量(kg yr(-1))的自然对数中约96%(R-2)的空间变异性,并且在31个监测站显示相对较小的预测误差。结果表明,发展中土地与最大沉积物产量相关,大约为1006 kg km(-2)yr(-1),其次是农业土地(234 kg km(-2)yr(-1))。估计单产增量表明,农业用地占35%,林地占23%,发展中国家占23%,河道占19%。这项研究的结果总体上增进了我们对石狩河流域沉积物生产和运输的理解,这将有益于科学界和管理界在保护水资源方面的利益。

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