Sensitivity analysis of environmental models: A systematic review with practical workflow

作者：Francesca Pianosi, Keith Beven, Jim Freer, Jim W. Hall, J Rougier, David B. Stephenson, Thorsten Wagener · 发表于：Environmental Modelling & Software · 年份：2016 · DOI：10.1016/j.envsoft.2016.02.008 · 被引用次数：1723 · 研究领域：Probabilistic and Robust Engineering Design、Groundwater flow and contamination studies、Soil and Unsaturated Flow

Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model can be attributed to variations of its input factors. SA is increasingly being used in environmental modelling for a variety of purposes, including uncertainty assessment, model calibration and diagnostic evaluation, dominant control analysis and robust decision-making. In this paper we review the SA literature with the goal of providing: (i) a comprehensive view of SA approaches also in relation to other methodologies for model identification and application; (ii) a systematic classification of the most commonly used SA methods; (iii) practical guidelines for the application of SA. The paper aims at delivering an introduction to SA for non-specialist readers, as well as practical advice with best practice examples from the literature; and at stimulating the discussion within the community of SA developers and users regarding the setting of good practices and on defining priorities for future research.