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A simple geomorphic-based analytical model for predicting the spatial distribution of soil thickness in headwater hillslopes and catchments
Liu, Jintao1,2,3; Chen, Xi1,3; Lin, Henry2; Liu, Hu2,4,5; Song, Huiqing1,3
2013-11-01
Source PublicationWATER RESOURCES RESEARCH
Volume49Issue:11Pages:7733-7746
AbstractSoil thickness acts as an important control for headwater hydrologic processes. Yet, its spatial distribution remains one of the least understood in catchment hydrology. Analytic methods are desirable to provide a simple way for predicting soil thickness distribution over a hillslope or a catchment. In this paper, a simple geomorphic-based analytical model is derived from the dynamic equations of soil thickness evolution in areas with no tectonic uplift or lowering since the recent geological past. The model employs terrain attributes (slope gradient, curvature, and upstream contributing area) as inputs on grid-based DEMs for predicting soil thickness evolution over time. The analytic model is validated first on nine abstract hillslopes through comparing 10 kyr simulation results between our proposed model and the numerical solution. The model is then applied to predict soil thickness evolution over 13 kyr in the 7.9 ha Shale Hills catchment (one of the Critical Zone Observatories in the U.S. located in central Pennsylvania). Field observed and model predicted values of soil thickness are in good agreement (with a root mean squared error of 0.39 m, R-2=0.74, and absolute errors < 0.10 m in 70% of 106 sample points). Moreover, our model verifies that terrain shape and position are the first-order control on soil thickness evolution in the headwater catchment. Therefore, the derived geomorphic-based analytical model can be helpful in understanding soil thickness change over geological time and is useful as a simple tool for deriving spatially distributed soil thickness needed for hydrologic modeling.
SubtypeArticle
KeywordSoil Thickness Analytical Model Terrain Attributes Hillslope
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Physical Sciences
WOS Subject ExtendedEnvironmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
WOS KeywordEVOLUTION MODEL ; DEPTH ; TERRAIN ; FLOW ; TOPOGRAPHY ; VEGETATION ; TRANSPORT ; BE-10 ; CREEP
Indexed BySCI
Language英语
WOS SubjectEnvironmental Sciences ; Limnology ; Water Resources
WOS IDWOS:000328683800041
PublisherAMER GEOPHYSICAL UNION
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68508
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiu, Jintao
Affiliation1.Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China
2.Penn State Univ, Dept Ecosyst Sci & Management, University Pk, PA 16802 USA
3.Hohai Univ, Dept Coll Hydrol & Water Resources, Nanjing, Jiangsu, Peoples R China
4.Chinese Acad Sci, Chinese Ecosyst Res Network, Linze Inland River Basin Res Stn, Lanzhou, Peoples R China
5.Chinese Acad Sci, Key Lab Ecohydrol & River Basin Sci, Lanzhou, Peoples R China
Recommended Citation
GB/T 7714
Liu, Jintao,Chen, Xi,Lin, Henry,et al. A simple geomorphic-based analytical model for predicting the spatial distribution of soil thickness in headwater hillslopes and catchments[J]. WATER RESOURCES RESEARCH,2013,49(11):7733-7746.
APA Liu, Jintao,Chen, Xi,Lin, Henry,Liu, Hu,&Song, Huiqing.(2013).A simple geomorphic-based analytical model for predicting the spatial distribution of soil thickness in headwater hillslopes and catchments.WATER RESOURCES RESEARCH,49(11),7733-7746.
MLA Liu, Jintao,et al."A simple geomorphic-based analytical model for predicting the spatial distribution of soil thickness in headwater hillslopes and catchments".WATER RESOURCES RESEARCH 49.11(2013):7733-7746.
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