A model to characterize soil moisture and organic matter profiles in the permafrost active layer in support of radar remote sensing in Alaskan Arctic tundra

被引:11
|
作者
Bakian-Dogaheh, Kazem [1 ]
Chen, Richard H. [2 ]
Yi, Yonghong [2 ,3 ]
Kimball, John S. [4 ]
Moghaddam, Mahta [1 ]
Tabatabaeenejad, Alireza [1 ]
机构
[1] Univ Southern Calif, Dept Elect & Comp Engn, Los Angeles, CA 90007 USA
[2] CALTECH, NASA, Jet Prop Lab, Pasadena, CA 91125 USA
[3] Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA USA
[4] Univ Montana, WA Franke Coll Forestry & Conservat, Numer Terradynam Simulat Grp, Missoulua, MT USA
来源
ENVIRONMENTAL RESEARCH LETTERS | 2022年 / 17卷 / 02期
基金
美国国家航空航天局;
关键词
permafrost; radar remote sensing; active layer; dielectric profile; organic matter profile; soil moisture profile; vertical profile; THERMAL-PROPERTIES; CARBON STOCKS; CLIMATE; HETEROGENEITY; VEGETATION; NETWORK; ROOTS; THAW;
D O I
10.1088/1748-9326/ac4e37
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Organic matter (OM) content and a shallow water table are two key variables that govern the physical properties of the subsurface within the active layer of arctic soils underlain by permafrost, where the majority of biogeochemical activities take place. A detailed understanding of the soil moisture and OM profile behavior over short vertical distances through the active layer is needed to adequately model the subsurface physical processes. To observe and characterize the profiles of soil properties in the active layer, we conducted detailed soil sampling at five sites along Dalton Highway on Alaska's North Slope. These data were used to derive a generalized logistics function to characterize the total OM and water saturation fraction behavior through the profile. Furthermore, a new pedotransfer function was developed to estimate the soil bulk density and porosity-information that is largely missing from existing soil datasets-within each layer, solely from the soil texture (organic and mineral properties). Given the currently sparse soil database of the Alaskan Arctic, these profile models can be highly beneficial for radar remote sensing models to study active layer dynamics.
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页数:14
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