Title: Trends in sensitivity analysis practice in the last decade
Citation: SCIENCE OF THE TOTAL ENVIRONMENT vol. 568 p. 666-670
Publication Year: 2016
JRC N°: JRC101127
ISSN: 0048-9697
URI: http://www.sciencedirect.com/science/article/pii/S0048969716303448
DOI: 10.1016/j.scitotenv.2016.02.133
Type: Articles in periodicals and books
Abstract: The majority of published sensitivity analyses (SAs) are either local or one factor-at-a-time (OAT) analyses, relying on unjustified assumptions of model linearity and additivity. Global approaches to sensitivity analyses (GSA) which would obviate these shortcomings, are applied by a minority of researchers. By reviewing the academic literature on SA, we here present a bibliometric analysis of the trends of different SA practices in last decade. The review has been conducted both on some top ranking journals (Nature and Science) and through an extended analysis in the Elsevier’s Scopus database of scientific publications. After correcting for the global growth in publications, the amount of papers performing a generic SA has notably increased over the last decade. Even if OAT is still the most largely used technique in SA, there is a clear increase in the use of GSA with preference respectively for regression and variance-based techniques. Even after adjusting for the growth of publications in the sole modeling field, to which SA and GSA normally apply, the trend is confirmed. Data about regions of origin and discipline are also briefly discussed. The results above are confirmed when zooming on the sole articles published in chemical modelling, a field historically proficient in the use of SA methods.
JRC Directorate:Energy, Transport and Climate

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