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Calibration of hydrological models for medium-term streamflow prediction in a changing climate

机译:气候变化中中期流量预测的水文模型校准

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Prediction of medium-term (1-10 years) streamflow has become more challenging under climate change conditions. This paper presents results from a modelling study carried out to evaluate the performance of conceptual rainfall-runoff models in predicting medium-term streamflow using parameter values from model calibration against different periods of observed historical data. Four rainfall-runoff models are calibrated using the past 1 year, 2 years, 5 years, 10 years, 20 years and the entire historical daily climate and streamflow data for 20 catchments in southeastern Australia. The calibrated models are then used to predict the next 1 year, 2 years, 5 years and 10 years of streamflow. Calibrating hydrological models against the more recent data may give better medium-term streamflow predictions because the more recent data are likely to be of better quality, and they represent the current hydroclimate state and current land use and development. The results indicate that at least 10 years of data are needed for the model calibration to properly capture the range of hydroclimate variability. However, the modelling experiments here show little difference in the streamflow prediction results using parameter values from model calibrations against the past 10 or 20 years of data or the entire historical record.
机译:在气候变化条件下,中期(1-10年)流量的预测变得更具挑战性。本文介绍了一项建模研究的结果,该研究旨在评估模型性降雨径流模型在预测中期河流流量方面的性能,这些模型使用模型标定的参数值针对不同时期的历史观测数据进行预测。使用过去1年,2年,5年,10年,20年以及澳大利亚东南部20个流域的全部历史每日气候和流量数据对四个降雨径流模型进行了校准。然后,使用校准后的模型来预测接下来的1年,2年,5年和10年的流量。根据较新的数据校准水文模型可能会提供更好的中期流量预测,因为较新的数据可能具有更好的质量,并且它们表示当前的水文气候状态以及当前的土地使用和开发。结果表明,至少需要10年的数据才能进行模型校准,以正确捕获水文气候变异性的范围。但是,此处的建模实验显示,使用来自模型校准的参数值针对过去10或20年的数据或整个历史记录的流量预测结果几乎没有差异。

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