Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR026930 |
Noninvasive 2D and 3D Mapping of Root Zone Soil Moisture Through the Detection of Coarse Roots With Ground-Penetrating Radar | |
Liu, X.1,2,3; Chen, J.2; Butnor, J. R.4; Qin, G.1; Cui, X.2; Fan, B.1; Lin, H.3; Guo, L.1,3 | |
2020-04-22 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2020 |
卷号 | 56期号:5 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | Root zone soil moisture (RZSM) is important in sustaining terrestrial ecosystems and water cycling. However, noninvasive mapping of RZSM remains challenging in the field, especially its spatial variability at local scales. We propose a novel method of applying ground-penetrating radar (GPR) for noninvasive determination of RZSM. First, this method identified coarse root reflections in GPR images to obtain the reflected wave velocity and soil water storage at various locations. Then, the horizontal distributions of soil water storage to different depths were reconstructed using the inverse distance weighted interpolation. The difference in soil water storage between two depths was converted into 2D RZSM distribution for a specific depth interval. Finally, 2D RZSM distributions from a range of depths were combined to produce a 3D visualization of RZSM. The proposed method was validated in two field plots (30 m by 30 m) in shrublands. The comparisons with 2D RZSM distributions from soil cores sampled at 0.2-m depth intervals suggested a reasonable correspondence in both spatial patterns and absolute values, with the average root-mean-square error less than 0.017 m(3)center dot m(-3) and correlation coefficients ranging from 0.502 to 0.798 in both plots. Furthermore, 3D visualizations of RZSM were generated based on GPR estimates to demonstrate the spatial variability of soil moisture at the study scale. The proposed method enhances noninvasive characterization of soil moisture down to the root zone, which contributes to a better understanding of the local-scale variability of soil moisture in the subsoil as well as the ecohydrological processes in the soil-plant-atmosphere continuum. |
英文关键词 | ecohydrology in situ near-surface geophysics soil mapping soil-plant-water relationships subsoil |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000537736400024 |
WOS关键词 | WATER-CONTENT ; HYDRAULIC PARAMETERS ; SPATIAL VARIATION ; TREE ROOTS ; SURFACE ; DYNAMICS ; BIOMASS ; FOREST ; INTERPOLATION ; ECOSYSTEM |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/249196 |
专题 | 资源环境科学 |
作者单位 | 1.Sichuan Univ, Coll Water Resource & Hydropower, State Key Lab Hydraul & Mt River Engn, Chengdu, Peoples R China; 2.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China; 3.Penn State Univ, Dept Ecosyst Sci & Management, University Pk, PA 16802 USA; 4.Univ Vermont, USDA ARS, Southern Res Stn, Aiken Ctr, 81 Carrigan Dr, Burlington, VT USA |
推荐引用方式 GB/T 7714 | Liu, X.,Chen, J.,Butnor, J. R.,et al. Noninvasive 2D and 3D Mapping of Root Zone Soil Moisture Through the Detection of Coarse Roots With Ground-Penetrating Radar[J]. WATER RESOURCES RESEARCH,2020,56(5). |
APA | Liu, X..,Chen, J..,Butnor, J. R..,Qin, G..,Cui, X..,...&Guo, L..(2020).Noninvasive 2D and 3D Mapping of Root Zone Soil Moisture Through the Detection of Coarse Roots With Ground-Penetrating Radar.WATER RESOURCES RESEARCH,56(5). |
MLA | Liu, X.,et al."Noninvasive 2D and 3D Mapping of Root Zone Soil Moisture Through the Detection of Coarse Roots With Ground-Penetrating Radar".WATER RESOURCES RESEARCH 56.5(2020). |
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