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Improvement and application research of the SRM in alpine regions

机译:高山地区SRM的改进与应用研究

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The simulation of snowmelt runoff in alpine mountainous areas is of great significance not only for the risk assessment of snowmelt flood in spring and summer, but also for the development and management of water resources in the basin. An improved snowmelt runoff model (SRM) is constructed based on the analysis of change characteristics of climate, runoff, and snow and ice cover in the middle and upper reaches of the Taxkorgan River in Xinjiang Province, China. Because of the large evaporation in the study basin, the evaporation loss is added to the model. The SRM and the improved SRM are calibrated and verified by using data such as temperature, precipitation, water vapor pressure, and snow-covered area (SCA) ratio in the study basin from 2002 to 2012. The results show that, compared with the SRM, the average Nash-Sutcliffe coefficient (NSE) of annual runoff simulation increases from 0.80 to 0.86 in the calibration and increases from 0.74 to 0.83 in the validation through the improved model, and the average runoff error reduces from - 12.8 to 1.32% in the calibration and reduces from - 20.0 to - 11.51% in the validation. After adding the measured flow rate for real-time correction, the average NSE of annual runoff simulation increases from 0.91 to 0.93 and the average annual runoff error reduces from - 7.76 to - 3.91% in the calibration. The average NSE increases from 0.85 to 0.89 and the average runoff error reduces from - 12.35 to - 2.76% in the validation. It indicates that the SRM structure with increased evaporation loss is more in line with the actual situation. The short-term simulation effect of the model is greatly improved by adding the measured flow rate for real-time correction. At the same time, the improved SRM and the hypothetical climate change scenario are used to analyze the impact analysis of the snowmelt runoff simulation in the partial wet year. The results show that in the case of rising temperature, the ice and snow ablation period is prolonged, and the annual runoff also changes significantly in time distribution. It is of guiding significance for the influence of climate change on the runoff of recharged rivers with ice-snow meltwater in the other alpine regions.
机译:在高山山区雪花径流的模拟不仅具有重要意义,不仅具有春季和夏季雪花洪水的风险评估,而且对盆地水资源的开发和管理进行了重要意义。基于对新疆的税前河流中的气候,径流和冰川和冰盖的变化特征的分析,构建了一种改进的雪花径流模型(SRM)。由于研究盆地蒸发较大,蒸发损失被添加到模型中。通过从2002年至2012年的研究盆地中使用诸如温度,降水,水蒸气压力和冰雪覆盖的区域(SCA)比例的数据进行校准和验证SRM和改进的SRM。结果表明,与SRM相比,年径流模拟的平均NASH-SUTCLIFFE系数(NSE)在校准中从0.80增加到0.86,通过改进的模型在验证中从0.74增加到0.83,并且平均径流误差从 - 12.8到1.32%校准并减少验证中的20.0至-11.51%。在添加测量的实时校正的流速后,年径流模拟的平均NSE从0.91增加到0.93,平均年径流误差从校准中的7.76到3.91%降低。平均NSE从0.85增加到0.89,平均径流误差从验证中的12.35到2.76%降低。它表明,具有增加的蒸发损失的SRM结构更加符合实际情况。通过添加测量的流速来大大提高模型的短期模拟效果,以进行实时校正。同时,改善的SRM和假设的气候变化情景用于分析部分潮汐年度雪花径流模拟的影响分析。结果表明,在上升温度的情况下,冰雪消融时期延长,年径流也随时间分布而变化。在其他高山地区的冰雪熔融河流中充电河流径流对气候变化对气候变化的影响是指导意义。

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