【作者】 袁飞； 赵晶晶； 尹智力；

【Author】 Yuan Fei;Zhao Jingjing;Yin Zhili;State Key Laboratory of Hydrology,Water Resources and Hydraulic Engineering,Hohai University;Institute of Atmospheric physics,Chinese Academy of Sciences;

【机构】 河海大学水文水资源及水利工程科学国家重点实验室； 中国科学院大气物理研究所LASG；

【摘要】 本研究采用陆面水文模式Noah LSM(Noah land surface model),构建气候变化对径流影响评价模型的基本框架。该模型基于全国50km×50km网格系统,结合遥感反演的下垫面植被覆盖数据以及全球土壤质地数据,确定覆盖全国范围50km×50km网格的植被参数和土壤参数;基于全国735个气象站点包含自建站至2006年日气象资料在全国50km×50km网格上进行插值。为验证该模式在我国不同气候区的适用性,本研究选取西辽河上游老哈河流域、珠江支流北江流域以及淮河流域上游区域作为典型流域,进行月流量过程数值模拟。结果表明月流量过程模拟精度较高,Noah LSM模拟的月流量过程与实测月流量过程基本吻合。本研究初步表明所建大尺度气候变化对径流影响评价模型是合理和可行的。更多还原

【Abstract】 In this study,a modeling system for assessing climate change effects on runoff was established using Noah land surface model(Noah LSM).This modeling system has a 50 km×50 km gridding system for entire China.All the vegetation and soil parameters on 50 km×50 km resolution were derived from remotely-sensed land-cover data and global soil texture data set.In terms of the atmospheric forcing data,meteorological data at 735 routine meteorological stations in China were spatially-interpolated to 50 km×50 km grid cells in China.To evaluate the feasibility of this modeling system in various climate zone,monthly streamflow simulations were performed in the Laohahe watershed within the West Liaohe River basin,the North River basin within the Pearl River basin and the upstream Huaihe River basin.Results indicate that Noah-LSM modeling system could reproduce accurate monthly streamflow processes in the study areas.It also shows that this large-scale modeling system is rational for assessing climate change effects on runoff in China.更多还原