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Position paper: Sensitivity analysis of spatially distributed environmental models- a pragmatic framework for the exploration of uncertainty sources

文献类型：期刊论文

作者Koo, Hyeongmo2,10,11; Iwanaga, Takuya3; Croke, Barry Fw1,2,3; Jakeman, Anthony J.3; Yang, Jing4; Wang, Hsiao-Hsuan5; Sun, Xifu1,3; Lu, Guonian2,10,11; Li, Xin6,12; Yue, Tianxiang7
刊名ENVIRONMENTAL MODELLING & SOFTWARE
出版日期2020-12-01
卷号134页码:14
ISSN号1364-8152
关键词Sensitivity analysis Spatially distributed environmental model Uncertainty SWAT Environmental modeling
DOI10.1016/j.envsoft.2020.104857
通讯作者Chen, Min(chenmin0902@163.com)
英文摘要Sensitivity analysis (SA) has been used to evaluate the behavior and quality of environmental models by estimating the contributions of potential uncertainty sources to quantities of interest (QoI) in the model output. Although there is an increasing literature on applying SA in environmental modeling, a pragmatic and specific framework for spatially distributed environmental models (SD-EMs) is lacking and remains a challenge. This article reviews the SA literature for the purposes of providing a step-by-step pragmatic framework to guide SA, with an emphasis on addressing potential uncertainty sources related to spatial datasets and the consequent impact on model predictive uncertainty in SD-EMs. The framework includes: identifying potential uncertainty sources; selecting appropriate SA methods and QoI in prediction according to SA purposes and SD-EM properties; propagating perturbations of the selected potential uncertainty sources by considering the spatial structure; and verifying the SA measures based on post-processing. The proposed framework was applied to a SWAT (Soil and Water Assessment Tool) application to demonstrate the sensitivities of the selected QoI to spatial inputs, including both raster and vector datasets for example, DEM and meteorological information and SWAT (sub) model parameters. The framework should benefit SA users not only in environmental modeling areas but in other modeling domains such as those embraced by geographical information system communities.
WOS关键词GLOBAL SENSITIVITY ; ERROR PROPAGATION ; MATHEMATICAL-MODELS ; SIMULATION-MODEL ; ELEVATION DATA ; LINE SEGMENTS ; WATER ; RAINFALL ; SYSTEMS ; GIS
资助项目Key Project of NSF of China[41930648] ; NSF for Excellent Young Scholars of China[41622108] ; National Key Research and Development Program of China[2017YFB0503500] ; Australian Government Research Training Program (AGRTP) Scholarship ; ANU Hilda-John Endowment Fund ; Priority Academic Program Development of Jiangsu Higher Education Institutions[164320H116]
WOS研究方向Computer Science ; Engineering ; Environmental Sciences & Ecology
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:000591712700002
资助机构Key Project of NSF of China ; NSF for Excellent Young Scholars of China ; National Key Research and Development Program of China ; Australian Government Research Training Program (AGRTP) Scholarship ; ANU Hilda-John Endowment Fund ; Priority Academic Program Development of Jiangsu Higher Education Institutions
源URL[http://ir.igsnrr.ac.cn/handle/311030/156387]  
专题中国科学院地理科学与资源研究所
通讯作者Chen, Min
作者单位1.Australian Natl Univ, Math Sci Inst, Canberra, ACT, Australia
2.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ PR China, Nanjing, Peoples R China
3.Australian Natl Univ, Fenner Sch Environm & Soc, Inst Water Futures, Canberra, ACT, Australia
4.Natl Inst Water & Atmospher Res, Christchurch, New Zealand
5.Texas A&M Univ, Dept Ecol & Conservat Biol, Ecol Syst Lab, College Stn, TX USA
6.Chinese Acad Sci, Natl Tibetan Plateau Data Ctr, Key Lab Tibetan Environm Changes & Land Surface P, Inst Tibetan Plateau Res, Beijing, Peoples R China
7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
8.Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou, Guangdong, Peoples R China
9.Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Kowloon, Hong Kong, Peoples R China
10.State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China
推荐引用方式
GB/T 7714		 Koo, Hyeongmo,Iwanaga, Takuya,Croke, Barry Fw,et al. Position paper: Sensitivity analysis of spatially distributed environmental models- a pragmatic framework for the exploration of uncertainty sources[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2020,134:14.
APA Koo, Hyeongmo.,Iwanaga, Takuya.,Croke, Barry Fw.,Jakeman, Anthony J..,Yang, Jing.,...&Chen, Min.(2020).Position paper: Sensitivity analysis of spatially distributed environmental models- a pragmatic framework for the exploration of uncertainty sources.ENVIRONMENTAL MODELLING & SOFTWARE,134,14.
MLA Koo, Hyeongmo,et al."Position paper: Sensitivity analysis of spatially distributed environmental models- a pragmatic framework for the exploration of uncertainty sources".ENVIRONMENTAL MODELLING & SOFTWARE 134(2020):14.

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