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首页> 外文期刊>Ambiente e gua - An Interdisciplinary Journal of Applied Science >Avalia??o da perda de água em transito e do escoamento superficial em uma bacia semiárida brasileira
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Avalia??o da perda de água em transito e do escoamento superficial em uma bacia semiárida brasileira

机译:巴西半干旱盆地过境水分损失评价

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The objective of this work was to propose and evaluate a model to estimate transit water losses and surface runoff in a Brazilian semi-arid basin, fundamental components in the hydrological studies of the region, such as in the verification of hydrological connectivity. The study area was the Orós Reservoir Basin, located in the state of Ceará. The modeling of transit water loss and surface runoff were developed based on the work of Araújo and Ribeiro (1996) and Peter et al. (2014). In the proposed model, the parameter of loss in transit (k) was estimated at 0.027 km-1 for a section of the river basin, and when simulated for other stretches it provided good flow results at the end of the stretch, obtaining an NSE of 82%. The value of the runoff coefficient was estimated at 3% and when evaluating a spatial variation of this coefficient in the basin, the values varied from 2% to 12%, and the use of specialized runoff coefficient (RC) values promoted a higher NSE in the discharge simulation in the basin. It is concluded that the proposed model to estimate transit water losses and surface runoff demonstrated a high efficiency in the simulation of hydrological processes. The basin of Orós reservoir presented a high variability of the coefficient of surface runoff, justifying the need for a greater spatiality of this coefficient in heterogeneous environments.
机译:这项工作的目的是提出并评估估算巴西半干旱盆地的过境水损失和表面径流的模型,该区域的水文研究中的基本组分,例如在验证水文连接中。该研究领域是奥罗斯水库盆地,位于Ceará的状态。基于Araújo和Ribeiro(1996)和Peter等人的工作,开发了过境水损和表面径流的建模。 (2014)。在所提出的模型中,河流盆段的一部分估计过境(k)损失参数,并且当模拟其他延伸时,它在拉伸末端提供了良好的流量结果,获得了NSE 82%。径流系数的值估计为3%,并且在评估盆中该系数的空间变化时,值从2%变化到12%,并且使用专业径流系数(RC)值促进了更高的NSE盆地的放电仿真。得出结论认为,拟议的模型来估计运输水损失和表面径流在水文过程的模拟中表现出高效率。奥罗斯水库的盆地呈现了表面径流系数的高可变性,证明了在异构环境中对该系数的更高空间性的需要。

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