首页 | 官方网站   微博 | 高级检索  
     

APHRODITE降水数据驱动的融雪径流模拟
引用本文:李兰海,尚 明,张敏生,AHMAD Sajjad,黄 粤.APHRODITE降水数据驱动的融雪径流模拟[J].水科学进展,2014,25(1):53-59.
作者姓名:李兰海  尚 明  张敏生  AHMAD Sajjad  黄 粤
作者单位:1.中国科学院新疆生态与地理研究所荒漠与绿洲生态国家重点实验室, 新疆乌鲁木齐 830011;
基金项目:国家重点基础研究发展计划(973计划)资助项目(2010CB951002);中国科学院"西部之光"博士资助项目(XBBS201010)
摘    要:针对流域内气象观测站点稀少和融雪径流过程的特点,利用APHRODITE降水数据进行插值,应用日有效活动温度改进度日数;依据季节性冻土受有效活动积温影响的特点,建立有效活动积温与径流系数的关系,提高模型中融雪速率和径流系数的计算精度。结合气象、水文资料和MODIS遥感积雪产品,应用改进的融雪径流模型(SRM)对开都河流域2000年与2006年融雪期的径流进行了率定和验证模拟。改进模型在率定期和验证期的模拟结果远远优于用日平均温度作为度日数的结果。结果表明,用APHRODITE降水数据及改进的度日数和径流系数作为SRM模型参数输入,能够较好模拟开都河流域融雪径流过程,大大提高模型模拟精度。

关 键 词:融雪径流模型    MODIS数据    降水量    融雪径流    有效活动温度
收稿时间:2013-01-28

Snowmelt runoff simulation driven by APHRODITE precipitation dataset
LI Lanhai,SHANG Ming,ZHANG Minsheng,AHMAD Sajjad,HUANG Yue.Snowmelt runoff simulation driven by APHRODITE precipitation dataset[J].Advances in Water Science,2014,25(1):53-59.
Authors:LI Lanhai  SHANG Ming  ZHANG Minsheng  AHMAD Sajjad  HUANG Yue
Affiliation:1.State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;2.University of Chinese Academy of Sciences, Beijing 100049, China;3.Geography and Planning School, Gannan Normal University, Ganzhou 341000, China;4.Department of Civil and Environmental Engineering, University of Nevada, Las Vegas, NV 89154-4015, USA
Abstract:A snowmelt runoff model (SRM) was modified and applied to simulate the snowmelt runoff process in the Kaidu River basin in the Xinjiang Autonomous Region of China. The modified model was driven by the precipitation product of the Asian Precipitation-Highly Resolved Observational Data Integration Towards Evaluation (APHRODITE) of the Water Resources project. The daily effective active temperature was used in the model as the degree-days to replace the daily mean temperature for estimating the snowmelt rate. In order to reflect the effect of seasonal frozen soil on runoff, the accumulated active temperature was proposed to represent the state of seasonal frozen soil, and the runoff coefficient was modified using the accumulated active temperature. Using the meteorological and hydrological data observed from the Kaidu River basin, along with snow products from the Moderate Resolution Imaging Spectroradiometer (MODIS), the modified SRM was employed to simulate the runoff in the Kaidu River basin during snowmelt seasons. SRM was calibrated and validated using 2000 and 2006 data, respectively. Based on the coefficient of determination and the difference between simulated and observed runoff, calibrated and validated results simulated by the modified SRM using the daily effective active temperature as the degree-days were much better than that using the daily average temperature as the degree-days. The result shows that the interpolated APHRODITE precipitation data, the modified degree-days and runoff coefficient, expressed with the effective accumulated temperature as the SRM model inputs, can reflect the snowmelt runoff process in the Kaidu River Basin and greatly improve the snowmelt runoff simulation accuracy.
Keywords:snowmelt runoff model  Moderate Resolution Imaging Spectroradiometer products  precipitation  snowmelt runoff  effective active temperature  
本文献已被 CNKI 等数据库收录!
点击此处可从《水科学进展》浏览原始摘要信息
点击此处可从《水科学进展》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号