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  • 标题:Preliminary results for the global sensitivity analysis of SALTIRSOIL model outputs
  • 本地全文:下载
  • 作者:Fernando Visconti ; Fernando Visconti ; José Miguel de Paz
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2010
  • 卷号:2
  • 期号:6
  • 页码:7763-7764
  • DOI:10.1016/j.sbspro.2010.05.217
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractSALTIRSOIL is a model for the prediction of soil salinity, sodicity and alkalinity in irrigated well-drained lands. These three characteristics are respectively assessed through the electrical conductivity and the sodium adsorption ratio of the soil saturation extract (ECse and SARse), and the pH of the soil saturated paste (pHsp). A global sensitivity analysis (GSA) was carried out to ascertain what input variables are more influential on these three outputs. The standardised regression coefficients of the linear regression analyses were used to calculate sensitivity measures. The irrigation water quality represented by ECiw and SARiw is the most influential factor on salinity and sodicity calculation, i.e. ECse and SARse respectively, while the carbon dioxide partial pressure so is on alkalinity (pHsp). Next there are the variables featuring the soil water balance: rainfall, average annual basal crop coefficient and reference evapotranspiration.
  • 关键词:SALTIRSOIL model;global sensitivity analysis;soil;salinity;sodicity;alkalinity
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