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首页> 外文期刊>Hydrology and Earth System Sciences >Regional water balance modelling using flow-duration curves with observational uncertainties
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Regional water balance modelling using flow-duration curves with observational uncertainties

机译:使用具有观测不确定性的持续时间曲线进行区域水平衡建模

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Robust and reliable water-resource mapping in ungauged basins requires estimation of the uncertainties in the hydrologic model, the regionalisation method, and the observational data. In this study we investigated the use of regionalised flow-duration curves (FDCs) for constraining model predictive uncertainty, while accounting for all these uncertainty sources. A water balance model was applied to 36 basins in Central America using regionally and globally available precipitation, climate and discharge data that were screened for inconsistencies. A rating-curve analysis for 35 Honduran discharge stations was used to estimate discharge uncertainty for the region, and the consistency of the model forcing and evaluation data was analysed using two different screening methods. FDCs with uncertainty bounds were calculated for each basin, accounting for both discharge uncertainty and, in many cases, uncertainty stemming from the use of short time series, potentially not representative for the modelling period. These uncertain FDCs were then used to regionalise a FDC for each basin, treating it as ungauged in a cross-evaluation, and this regionalised FDC was used to constrain the uncertainty in the model predictions for the basin. There was a clear relationship between the performance of the local model calibration and the degree of data set consistency - with many basins with inconsistent data lacking behavioural simulations (i.e. simulations within predefined limits around the observed FDC) and the basins with the highest data set consistency also having the highest simulation reliability. For the basins where the regionalisation of the FDCs worked best, the uncertainty bounds for the regionalised simulations were only slightly wider than those for a local model calibration. The predicted uncertainty was greater for basins where the result of the FDC regionalisation was more uncertain, but the regionalised simulations still had a high reliability compared to the locally calibrated simulations and often encompassed them. The regionalised FDCs were found to be useful on their own as a basic signature constraint; however, additional regionalised signatures could further constrain the uncertainty in the predictions and may increase the robustness to severe data inconsistencies, which are difficult to detect for ungauged basins.
机译:无灌流盆地的稳健而可靠的水资源测绘需要估算水文模型,分区方法和观测数据中的不确定性。在这项研究中,我们调查了使用区域化流动持续时间曲线(FDC)来约束模型的预测不确定性,同时考虑了所有这些不确定性源的情况。使用区域和全球可获得的降水,气候和流量数据,对水量平衡模型应用到中美洲的36个流域,并进行了筛查。使用35个洪都拉斯排放站的等级曲线分析来估计该地区的排放不确定性,并使用两种不同的筛选方法分析了模型强迫和评估数据的一致性。为每个流域计算了具有不确定范围的FDC,这既考虑了流量的不确定性,又考虑了许多情况下由于使用短时间序列而产生的不确定性,这可能无法代表建模时期。然后将这些不确定的FDC用于对每个盆地的FDC进行区域化,并在交叉评估中将其视为未赋值,并且使用这种区域化的FDC来约束流域模型预测中的不确定性。局部模型校准的性能与数据集一致性程度之间存在明显的关系-许多盆地数据不一致,缺少行为模拟(即在观测到的FDC周围的预定范围内进行模拟),而盆地数据集一致性最高还具有最高的仿真可靠性。对于FDC区域化效果最好的盆地,区域化模拟的不确定性范围仅比局部模型校准的不确定性范围稍大。对于FDC区域化结果更加不确定的盆地,预测的不确定性更大,但是与本地校准的模拟相比,区域化的模拟仍具有较高的可靠性,并且经常将其包含在内。人们发现,将区域化的FDC作为基本签名约束本身是有用的。但是,额外的区域性签名可能会进一步限制预测的不确定性,并可能增加对严重数据不一致的鲁棒性,而对于数据量不足的盆地很难检测到。

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