Insights into sensitivity analysis of Earth and environmental systems models: On the impact of parameter perturbation scale

被引:35
作者
Haghnegahdar, Amin [1 ]
Razavi, Saman [1 ,2 ]
机构
[1] Univ Saskatchewan, Sch Environm & Sustainabil, Global Inst Water Secur, Saskatoon, SK, Canada
[2] Univ Saskatchewan, Dept Civil Environm & Geol Engn, Saskatoon, SK, Canada
关键词
Sensitivity analysis; Perturbation scale; VARS; Environmental modelling; MESH; SWAT; HydroGeoSphere; LATIN HYPERCUBE DESIGNS; GLOBAL SENSITIVITY; HYDROLOGICAL MODEL; GREAT-LAKES; FRAMEWORK; CALIBRATION; ROBUST; QUANTIFICATION; SIMULATIONS; ENSEMBLE;
D O I
10.1016/j.envsoft.2017.03.031
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper investigates the commonly overlooked "sensitivity" of sensitivity analysis (SA) to what we refer to as parameter "perturbation scale", which can be defined as a prescribed size of the sensitivityrelated neighbourhood around any point in the parameter space (analogous to step size Dx for numerical estimation of derivatives). We discuss that perturbation scale is inherent to any (local and global) SA approach, and explain how derivative-based SA approaches (e.g., method of Morris) focus on small-scale perturbations, while variance-based approaches (e.g., method of Sobol) focus on large-scale perturbations. We employ a novel variogram-based approach, called Variogram Analysis of Response Surfaces (VARS), which bridges derivative-and variance-based approaches. Our analyses with different real-world environmental models demonstrate significant implications of subjectivity in the perturbation-scale choice and the need for strategies to address these implications. It is further shown how VARS can uniquely characterize the perturbation-scale dependency and generate sensitivity measures that encompass all sensitivity-related information across the full spectrum of perturbation scales. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:115 / 131
页数:17
相关论文
共 43 条
  • [1] Abdul A. S., 1985, THESIS
  • [2] Are all runoff processes the same? Numerical experiments comparing a Darcy-Richards solver to an overland flow-based approach for subsurface storm runoff simulation
    Ameli, A. A.
    Craig, J. R.
    McDonnell, J. J.
    [J]. WATER RESOURCES RESEARCH, 2015, 51 (12) : 10008 - 10028
  • [3] [Anonymous], 2015, HYDROGEOSPHERE 3 DIM
  • [4] [Anonymous], 2008, GLOBAL SENSITIVITY A
  • [5] Optimal Sliced Latin Hypercube Designs
    Ba, Shan
    Myers, William R.
    Brenneman, William A.
    [J]. TECHNOMETRICS, 2015, 57 (04) : 479 - 487
  • [6] Sensitivity analysis of a land surface scheme using multicriteria methods
    Bastidas, LA
    Gupta, HV
    Sorooshian, S
    Shuttleworth, WJ
    Yang, ZL
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1999, 104 (D16) : 19481 - 19490
  • [7] An effective screening design for sensitivity analysis of large models
    Campolongo, Francesca
    Cariboni, Jessica
    Saltelli, Andrea
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2007, 22 (10) : 1509 - 1518
  • [8] Cressie N., 1993, STAT SPATIAL DATA, P900
  • [9] Regionalisation of land surface hydrological model parameters in subarctic and arctic environments
    Dornes, Pablo F.
    Tolson, Bryan A.
    Davison, Bruce
    Pietroniro, Alain
    Pomeroy, John W.
    Marsh, Philip
    [J]. PHYSICS AND CHEMISTRY OF THE EARTH, 2008, 33 (17-18) : 1081 - 1089
  • [10] Modelling blue and green water resources availability in Iran
    Faramarzi, Monireh
    Abbaspour, Karim C.
    Schulin, Rainer
    Yang, Hong
    [J]. HYDROLOGICAL PROCESSES, 2009, 23 (03) : 486 - 501