DOI: 10.5194/hess-18-3279-2014
Scopus记录号: 2-s2.0-84920685941
论文题名: Evaluating topographic wetness indices across central New York agricultural landscapes
作者: Buchanan B ; P ; , Fleming M ; , Schneider R ; L ; , Richards B ; K ; , Archibald J ; , Qiu Z ; , Walter M ; T
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期: 8 起始页码: 3279
结束页码: 3299
语种: 英语
Scopus关键词: Agriculture
; Agricultural fields
; Agricultural landscapes
; Agricultural setting
; Digital elevation model
; Mixed effects models
; Relative soil moistures
; Spearman correlation
; Topographic wetness index
; Soil moisture
; agricultural land
; algorithm
; digital elevation model
; humid environment
; resolution
; soil moisture
; topography
; New York [United States]
; United States
英文摘要: Accurately predicting soil moisture patterns in the landscape is a persistent challenge. In humid regions, topographic wetness indices (TWIs) are widely used to approximate relative soil moisture patterns. However, there are many ways to calculate TWIs and very few field studies have evaluated the different approaches - especially in the US. We calculated TWIs using over 400 unique formulations that considered different digital elevation model (DEM) resolutions (cell size), vertical precision of DEM, flow direction and slope algorithms, smoothing via low-pass filtering, and the inclusion of relevant soil properties. We correlated each TWI with observed patterns of soil moisture at five agricultural fields in central NY, USA, with each field visited five to eight times between August and November 2012. Using a mixed effects modeling approach, we were able to identify optimal TWI formulations applicable to moderate relief agricultural settings that may provide guidance for practitioners and future studies. Overall, TWIs were moderately well correlated with observed soil moisture patterns; in the best case the relationship between TWI and soil moisture had an average R2 and Spearman correlation value of 0.61 and 0.78, respectively. In all cases, fine-scale (3 m) lidar-derived DEMs worked better than USGS 10 m DEMs and, in general, including soil properties improved correlations. © 2014 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78154
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, United States; Department of Natural Resources, Cornell University, Ithaca, NY, United States; Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, NJ, United States
Recommended Citation:
Buchanan B,P,, Fleming M,et al. Evaluating topographic wetness indices across central New York agricultural landscapes[J]. Hydrology and Earth System Sciences,2014-01-01,18(8)