中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
areviewofunderlyingsurfaceparameterizationmethodsinhydrologicmodels

文献类型:期刊论文

作者Zhao Lingling2; Liu Changming3; Sobkowiak Leszek4; Wu Xiaoxiao5; Liu Jiafu1
刊名journalofgeographicalsciences
出版日期2019
卷号29期号:6页码:1039
ISSN号1009-637X
英文摘要Numerous topography, land-cover, land-use, and soil-type parameterization methods are required to simulate the hydrologic cycle. In this paper, using the principles of hydrologic cycle simulation, 20 methods commonly applied to runoff-yield simulation are analyzed. Additionally, parameterization methods used in 17 runoff-yield simulation methods and 15 confluence methods are discussed, including the degree of parameterization. Next, the parameterization methods are classified into four categories: not clearly expressed; calibrated; deterministic; and physical–conceptual. Furthermore, we clarify responses and contributions of different parameterization methods to hydrologic cycle simulation results. Finally, major weaknesses of simplified descriptions of complex rational and physical mechanisms in the parameterization methods of the underlying surfaces in hydrologic models are outlined, and two directions of future development are estimated, looking toward simple practicality and complex mechanization.
语种英语
源URL[http://ir.igsnrr.ac.cn/handle/311030/98589]  
专题中国科学院地理科学与资源研究所
作者单位1.Maoming Branch Hydrological Bureau of Guangdong Province
2.中国科学院广州地球化学研究所
3.中国科学院地理科学与资源研究所
4.Adam Mickiewicz University, Institute of Physical Geography and Environmental Planning
5.安徽大学
推荐引用方式
GB/T 7714
Zhao Lingling,Liu Changming,Sobkowiak Leszek,et al. areviewofunderlyingsurfaceparameterizationmethodsinhydrologicmodels[J]. journalofgeographicalsciences,2019,29(6):1039.
APA Zhao Lingling,Liu Changming,Sobkowiak Leszek,Wu Xiaoxiao,&Liu Jiafu.(2019).areviewofunderlyingsurfaceparameterizationmethodsinhydrologicmodels.journalofgeographicalsciences,29(6),1039.
MLA Zhao Lingling,et al."areviewofunderlyingsurfaceparameterizationmethodsinhydrologicmodels".journalofgeographicalsciences 29.6(2019):1039.

入库方式: OAI收割

来源:地理科学与资源研究所

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