气候与环境研究
氣候與環境研究
기후여배경연구
CLIMATIC AND ENVIRONMENTAL RESEARCH
2014年
5期
559-571
,共13页
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
土壤質地%通用陸麵模式%土壤水文學變量%土壤熱力學變量%土壤濕度
토양질지%통용륙면모식%토양수문학변량%토양열역학변량%토양습도
Soil texture%Community Land Model%Soil hydrological characteristic%Soil thermal property%Soil moisture
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。
利用陸麵過程模式(CLM3.5)和中國區域兩種土壤質地數據(分彆來自第二次中國土壤調查SNSS和聯閤國糧食農業組織 FAO),研究瞭土壤質地變化對于模式模擬的陸錶水熱變量的影響。結果顯示,土壤質地對土壤水文學變量的影響遠大于對土壤熱力學變量的影響,尤其是對于飽和土壤含水量和飽和水力傳導率的影響。對于模式的輸齣,土壤質地影響比較明顯的有土壤濕度、總徑流和土壤滲透等水文學變量以及地錶潛熱、地錶感熱和土壤熱通量等熱力學變量,而影響相對較小的有地麵吸收的太暘輻射和地錶反照率。同時,髮現基于SNSS模擬的土壤濕度與站點觀測值更加接近。因此,本研究認為基于SNSS土壤質地數據可以有效地改進模式模擬結果,建議以後在陸麵模式試驗中儘可能使用以觀測為基礎的SNSS土壤質地數據。
이용륙면과정모식(CLM3.5)화중국구역량충토양질지수거(분별래자제이차중국토양조사SNSS화연합국양식농업조직 FAO),연구료토양질지변화대우모식모의적륙표수열변량적영향。결과현시,토양질지대토양수문학변량적영향원대우대토양열역학변량적영향,우기시대우포화토양함수량화포화수력전도솔적영향。대우모식적수출,토양질지영향비교명현적유토양습도、총경류화토양삼투등수문학변량이급지표잠열、지표감열화토양열통량등열역학변량,이영향상대교소적유지면흡수적태양복사화지표반조솔。동시,발현기우SNSS모의적토양습도여참점관측치경가접근。인차,본연구인위기우SNSS토양질지수거가이유효지개진모식모의결과,건의이후재륙면모식시험중진가능사용이관측위기출적SNSS토양질지수거。
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.