Factorial kriging analysis leverages soil physical properties and exhaustive data to predict distinguished zones of hydraulic properties
作者: James BevingtonElia ScudieroPietro TeatiniGeorge VellidisFrancesco Morari
作者单位: 1College of Engineering, University of Georgia, Athens, GA 30605, United States
2Dipartimento di Agronomia Ambientale e Produzioni Vegetali, Agripolis, Universitá Di Padova, Viale dell'Università 16, 35020 Legnaro, Pd, Italy
3Dipartimento di Ingegneria Civile, Edile e Ambientale, Universitá Di Padova, Via Marzolo, 9, 35131 Padova, Italy
4Department of Crop and Soil Sciences, University of Georgia, Tifton, GA 31793, United States
刊名: Computers and Electronics in Agriculture, 2019, Vol.156 , pp.426-438
来源数据库: Elsevier Journal
DOI: 10.1016/j.compag.2018.11.034
关键词: Factorial kriging analysisUnsaturated hydraulic conductivityVan Genuchten modelMualem modelStratified samplingManagement zone
原始语种摘要: Abstract(#br)Measurement of unsaturated hydraulic properties of soil is a time-consuming endeavor which limits the scale of studies. A stratified sampling scheme could enable more efficient use of samples but some information about the strata is needed a priori . The aim of this study is to define zones of soil hydraulic properties using remotely sensed and soil physical inputs. Samples were collected from 50 locations at 4 depth intervals in a 20.8 ha field located along the margin of the Venice Lagoon, Italy, and characterized by paleo-channel structures and highly heterogeneous soils. Water retention curves (WRC) and unsaturated hydraulic conductivity curves (UHC) were determined via inversion of measurements taken in the lab using the Wind method. Factorial kriging analysis (FKA) was...
全文获取路径: Elsevier  (合作)
影响因子:1.766 (2012)

  • 模型 预见
  • hydraulic 水力的
  • properties 道具
  • analysis 分析
  • exhaustive 穷举
  • physical 物理的
  • conductivity 传导率
  • sampling 取样
  • predict 预见
  • model 预见
  • distinguished 著名的