A new dynamic wetness index (DWI) predicts soil moisture persistence and correlates with key indicators of surface soil geochemistry
一种新的动态湿润指数( DWI )预测了土壤水分持久性,并与表层土壤地球化学关键指标相关
作者: Ming LiErika J. FosterPhong V.V. LeQina YanAndrew StumpfTingyu HouA.N. (Thanos) PapanicolaouKenneth M. WachaChristopher G. WilsonJingkuan WangPraveen KumarTimothy Filley
作者单位: 1College of Land and Environment, Shenyang Agricultural University, Shenyang, Liaoning, China
2Department of Earth & Atmospheric and Planetary Sciences, Purdue University, West Lafayette, IN 47907, USA
3Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
4Faculty of Hydrology Meteorology and Oceanography, VNU University of Science, Vietnam National University, Hanoi, Viet Nam
5Illinois State Geological Survey, Prairie Research Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
6Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA
7National Laboratory for Agriculture and the Environment, USDA-ARS, Ames, IA 50011, USA
刊名: Geoderma, 2020, Vol.368
来源数据库: Elsevier Journal
DOI: 10.1016/j.geoderma.2020.114239
关键词: Soil moistureMicrotopographic variabilityLiDARSoil geochemistry
英文摘要: Abstract(#br)Commonly, the topographic influence on soil hydrology is calculated as a Topographic Wetness Index (TWI), which often correlates with surface soil properties, such as carbon and nitrogen, across broad spatial scales. However, traditional TWI methods can be ineffective at capturing finer scale variations when depression filling approaches are used and they do not incorporate localized soil texture controls on infiltration. We developed a new Dynamic Wetness Index (DWI) that attempts to account for the persistence of soil moisture over time at the microtopographic scale (~1 m 2 ) by including inputs of measured soil texture, and information from the Dhara modeling framework that incorporates canopy process and surface-subsurface hydrologic models. DWI and TWI values were...
全文获取路径: Elsevier  (合作)
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影响因子:2.345 (2012)

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关键词翻译
关键词翻译
  • geochemistry 地球化学
  • DWI Descriptor Word Index
  • wetness 湿度
  • moisture 湿气
  • indicators 指示器
  • variability 变异性
  • dynamic 动力学的
  • persistence 余辉时间
  • index 指标
  • surface