The probability-based granular field of vegetated soils | |
Zhang, Jun4,5; Li, Yong5; Liu, Daochuan3; Jiang, Ning4,5; Yang, Taiqiang2; Guo, Xiaojun5; Yao, Yingjie1 | |
刊名 | EARTH SURFACE PROCESSES AND LANDFORMS |
2022-07-28 | |
页码 | 17 |
关键词 | grain size distribution granular field root-soil interaction spatial variability UAV survey |
ISSN号 | 0197-9337 |
DOI | 10.1002/esp.5446 |
英文摘要 | Soils in vegetation-covered areas are of high variability in space and time, and the variability is crucial for hydro-geophysical processes at small and large scales. Conventionally, the spatial heterogeneity at large scale is visualized as a regional division map of soil properties by extrapolating sample measurements. No formalized method is available for assigning parameters for soils at the resolution of a small grid cell. This study formulates a method of establishing parameter space for vegetated soil by a single index (mu) derived from the unified grain size distribution (GSD). The index mu varies in space as a random variable and defines soil as a granular field. The mu-division represents the concentration of fine grains in response to root-soil interactions. Coupling mu-division with moisture distribution suggests that the gradient of mu plays a potential role in rooted soil hydraulics. It is further found that mu satisfies the Weibull distribution, which makes it possible to establish the mu-field for a soil space at large scale using the random dataset of mu. A case study is conducted in two vegetated slopes based on high-resolution digital elevation models (DEM) derived from unmanned aerial vehicle survey to create the field and illustrate its implications in morphology and hydrology. It is expected that the mu-field may derive parameter fields of various soil properties as functions of the GSD parameters and thus equip DEM with a complete dataset of soil. The paradigm proposed in the study fills the gap of establishing high-resolution data space for soil at large scale for dynamics of surface processes. |
资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23090202] ; National Natural Science Foundation of China[41790432] ; National Natural Science Foundation of China[41977257] ; Key Science and Technology Projects of Transportation Industry[2021-MS4-104] ; Sichuan Provincial Transportation Science and Technology Project[2021-A-08] |
WOS关键词 | PARTICLE-SIZE DISTRIBUTION ; GRAIN-SIZE ; HYDRAULIC CONDUCTIVITY ; PEDOTRANSFER FUNCTIONS ; SPATIAL HETEROGENEITY ; PREDICT ; MODELS ; RESPONSES ; EQUATION ; POINT |
WOS研究方向 | Physical Geography ; Geology |
语种 | 英语 |
出版者 | WILEY |
WOS记录号 | WOS:000832553300001 |
资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Key Science and Technology Projects of Transportation Industry ; Sichuan Provincial Transportation Science and Technology Project |
内容类型 | 期刊论文 |
源URL | [http://ir.imde.ac.cn/handle/131551/56767] |
专题 | 成都山地灾害与环境研究所_山地灾害与地表过程重点实验室 |
通讯作者 | Li, Yong |
作者单位 | 1.Univ Hong Kong, Fac Sci, Dept Phys, Hong Kong, Peoples R China 2.Kunming Univ Sci & Technol, Fac Land Resources Engn, Kunming, Yunnan, Peoples R China 3.Sichuan Highway Planning Survey Design & Res Inst, Chengdu, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 5.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Jun,Li, Yong,Liu, Daochuan,et al. The probability-based granular field of vegetated soils[J]. EARTH SURFACE PROCESSES AND LANDFORMS,2022:17. |
APA | Zhang, Jun.,Li, Yong.,Liu, Daochuan.,Jiang, Ning.,Yang, Taiqiang.,...&Yao, Yingjie.(2022).The probability-based granular field of vegetated soils.EARTH SURFACE PROCESSES AND LANDFORMS,17. |
MLA | Zhang, Jun,et al."The probability-based granular field of vegetated soils".EARTH SURFACE PROCESSES AND LANDFORMS (2022):17. |
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