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能量平衡融雪模型在天山西向阳坡的应用(英文)
引用本文:熊良时,林楚娟,徐俊荣.能量平衡融雪模型在天山西向阳坡的应用(英文)[J].农业科学与技术,2012(4):872-876.
作者姓名:熊良时  林楚娟  徐俊荣
作者单位:深圳市深港产学研环保工程技术股份有限公司;重庆市环境保护工程设计研究院有限公司;中国科学院新疆生态与地理研究所
基金项目:Supported by the Knowledge Innovation project of Chinese Academy of Sciences(CAS)(KZCX2-YW-334);Initiative Project of State Key Basic Research and Development Program of China(973Program,2009CB426309)~~
摘    要:目的]验证能量平衡融雪模型在天山西向阳坡融雪速率预测中的适用性。方法]实验在天山积雪雪崩研究站进行。在天山西向阳坡设置了3个融雪水收集样点,测定每小时的融雪径流量。应用能量平衡融雪模型计算感热和潜热量,并对融雪速率进行预测。最后对预测结果的精确度进行了详细探讨。结果]结果表明,感热通量和潜热通量分别占能量输入的13.4%和能量输出的15.1%。较低的Dv值和较高的R2值(分别为0.86、0.92和0.91)表明模型预测的融雪水当量与实测值一致。结论]本研究证明能量平衡融雪模型是一个有效的融雪预测工具。

关 键 词:融雪  能量平衡  感热  潜热

Application of Energy Balance Snowmelt Model on Sunny Slope in Western Tianshan Mountains
Liangshi XIONG,Chujuan LIN,Junrong XU.Application of Energy Balance Snowmelt Model on Sunny Slope in Western Tianshan Mountains[J].Agricultural Science & Technology,2012(4):872-876.
Authors:Liangshi XIONG  Chujuan LIN  Junrong XU
Institution:1.Shenzhen-Hongkong Institution of Industry,Education & Research Environmental Engineering Technique Co.,Ltd.,Shenzhen 518055,China;2.Chongqing Environmental Engineering Design and Research Co.,Ltd.,Shenzhen 518055,China;3.Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumuqi 830011,China
Abstract:Objective] The study aimed to apply energy balance snowmelt model for estimating the snowmelt runoff generated by seasonal snow in Tianshan Mountains.Method] Three snow water collecting sites were set on a sunny slope in western Tianshan Mountains to measure the snowmelt rates at hourly interval.The positive sensible heat and negative latent heat fluxes were calculated by the energy balance snowmelt model;the snowmelt rate was also estimated by the model.Finally,the accuracy for the model was investigated in detail.Result] The results indicated that sensible heat fluxes and latent heat fluxes accounted for 13.4% of total energy input and 15.1% of energy output,respectively.A good agreement between observed and estimated SWE was proved by low volume difference and the high Nash-Sutcliff coefficients(R 2) which were 0.86,0.92 and 0.91,respectively.Conclusion] The energy balance snowmelt model has been proved to be a powerful tool for snowmelt estimation.
Keywords:Snowmelt  Energy balance  Sensible heat  Latent heat
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