Uncertainty in the environmental modelling process - A framework and guidance

被引:817
作者
Refsgaard, Jens Christian [1 ]
van der Sluijs, Jeroen P.
Hojberg, Anker Lajer
Vanrolleghem, Peter A.
机构
[1] Geol Survey Denmark & Greenland, GEUS, Copenhagen, Denmark
[2] Univ Utrecht, Copernicus Inst Sustainable Dev & Innovat, Dept Sci Technol & Soc, Utrecht, Netherlands
[3] Univ Ghent, BIOMATH, Ghent, Belgium
[4] Univ Laval, Water Qual Modelling Model EAU, Laval, PQ, Canada
关键词
integrated water resources management; water framework directive; catchment modelling; uncertainty;
D O I
10.1016/j.envsoft.2007.02.004
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A terminology and typology of uncertainty is presented together with a framework for the modelling process, its interaction with the broader water management process and the role of uncertainty at different stages in the modelling processes. Brief reviews have been made of 14 different (partly complementary) methods commonly used in uncertainty assessment and characterisation: data uncertainty engine (DUE), error propagation equations, expert elicitation, extended peer review, inverse modelling (parameter estimation), inverse modelling (predictive uncertainty), Monte Carlo analysis, multiple model simulation, NUSAP, quality assurance, scenario analysis, sensitivity analysis, stakeholder involvement and uncertainty matrix. The applicability of these methods has been mapped according to purpose of application, stage of the modelling process and source and type of uncertainty addressed. It is concluded that uncertainty assessment is not just something to be added after the completion of the modelling work. Instead uncertainty should be seen as a red thread throughout the modelling study starting from the very beginning, where the identification and characterisation of all uncertainty sources should be performed jointly by the modeller, the water manager and the stakeholders. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1543 / 1556
页数:14
相关论文
共 52 条
[11]  
*DEC ENG INC, 2000, CRUST BALL US MAN
[12]   Ground water model calibration using pilot points and regularization [J].
Doherty, J .
GROUND WATER, 2003, 41 (02) :170-177
[13]   OPTIMAL USE OF THE SCE-UA GLOBAL OPTIMIZATION METHOD FOR CALIBRATING WATERSHED MODELS [J].
DUAN, QY ;
SOROOSHIAN, S ;
GUPTA, VK .
JOURNAL OF HYDROLOGY, 1994, 158 (3-4) :265-284
[14]  
*EC, 2003, 200060EC
[15]  
European Union, 2000, DET CONTR AR SEAL PR
[16]  
Funtowicz S.O., 1990, UNCERTAINTY QUALITY, DOI DOI 10.1007/978-94-009-0621-1_3
[17]   Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems [J].
Helton, JC ;
Davis, FJ .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2003, 81 (01) :23-69
[18]  
HENRIKSEN HJ, UNPUB PUBLIC PARTICI
[19]  
Hojberg AL, 2005, WATER SCI TECHNOL, V52, P177
[20]   ACQUISITION OF EXPERT JUDGMENT - EXAMPLES FROM RISK ASSESSMENT [J].
HORA, SC .
JOURNAL OF ENERGY ENGINEERING-ASCE, 1992, 118 (02) :136-148