土壤质地对中国区域陆面过程模拟的影响

吴龙刚; 王爱慧; 盛炎平

doi:10.3878/j.issn.1006-9585.2013.13055

土壤质地对中国区域陆面过程模拟的影响

doi: 10.3878/j.issn.1006-9585.2013.13055

1.
北京信息科技大学理学院, 北京 100192;中国科学院大气物理研究所竺可桢-南森国际研究中心, 北京 100029
2.
中国科学院大气物理研究所竺可桢-南森国际研究中心, 北京 100029
3.
北京信息科技大学理学院, 北京 100192

基金项目: 国家重点基础研究发展计划项目2010CB428403，国家自然科学基金项目41275110，北京市自然科学基金1122015，教育教学－人才培养模式创新试验－应用型人才培养模式试点改革pxm2013_014224_000076

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出版历程
- 收稿日期: 2013-03-29
- 修回日期: 2013-06-25

Impact of Soil Texture on the Simulation of Land Surface Processes in China

1.
School of Sciences, Beijing Information Science and Technology University, Beijing 100192;Nansen-Zhu International Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
2.
Nansen-Zhu International Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
3.
School of Sciences, Beijing Information Science and Technology University, Beijing 100192

摘要

摘要: 利用陆面过程模式（CLM3.5）和中国区域两种土壤质地数据（分别来自第二次中国土壤调查SNSS和联合国粮食农业组织FAO），研究了土壤质地变化对于模式模拟的陆表水热变量的影响。结果显示，土壤质地对土壤水文学变量的影响远大于对土壤热力学变量的影响，尤其是对于饱和土壤含水量和饱和水力传导率的影响。对于模式的输出，土壤质地影响比较明显的有土壤湿度、总径流和土壤渗透等水文学变量以及地表潜热、地表感热和土壤热通量等热力学变量，而影响相对较小的有地面吸收的太阳辐射和地表反照率。同时，发现基于SNSS模拟的土壤湿度与站点观测值更加接近。因此，本研究认为基于SNSS土壤质地数据可以有效地改进模式模拟结果，建议以后在陆面模式试验中尽可能使用以观测为基础的SNSS土壤质地数据。
- 土壤质地 /
- 通用陆面模式 /
- 土壤水文学变量 /
- 土壤热力学变量 /
- 土壤湿度
Abstract: On the basis of Community Land Model version 3.5 (CLM3.5) and two soil texture datasets such as the Second National Soil Survey of China (SNSS) and the Food and Agriculture Organization of the United Nations (FAO), this study investigates the impacts of soil texture on the simulation of land surface processes in China. By analyzing soil hydrological and thermal properties derived from soil texture, it is determined that soil texture plays a more important role on the soil hydrological characteristics, such as saturated soil moisture and saturated hydraulic conductivity, than that on its thermal properties. Model outputs show that soil texture has a significant impact on soil moisture, runoff, infiltration, surface latent heat, sensible heat, and heat flux, while little impact on absorbed solar radiation and albedo. Moreover, it is shown that soil moisture values are closer to the observations when simulated by CLM3.5 with SNSS than those simulated with FAO. Therefore, to improve the performance of the land surface model, particularly for soil hydrology, this study suggests the use of observation-based soil texture datasets, such as those of SNSS, in the future.
- Soil texture /
- Community Land Model /
- Soil hydrological characteristic /
- Soil thermal property /
- Soil moisture

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