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Position paper: Sensitivity analysis of spatially distributed environmental models- a pragmatic framework for the exploration of uncertainty sources
Koo, Hyeongmo1,9,10; Iwanaga, Takuya2; Croke, Barry Fw1,2,11; Jakeman, Anthony J.2; Yang, Jing3; Wang, Hsiao-Hsuan4; Sun, Xifu2,11; Lu, Guonian1,9,10; Li, Xin5,12; Yue, Tianxiang6; Yuan, Wenping7; Liu, Xintao8; Chen, Min1,9,10
2020-12-01
Source PublicationENVIRONMENTAL MODELLING & SOFTWARE
ISSN1364-8152
Volume134Pages:14
Corresponding AuthorChen, Min(chenmin0902@163.com)
AbstractSensitivity 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.
KeywordSensitivity analysis Spatially distributed environmental model Uncertainty SWAT Environmental modeling
DOI10.1016/j.envsoft.2020.104857
WOS KeywordGLOBAL SENSITIVITY ; ERROR PROPAGATION ; MATHEMATICAL-MODELS ; SIMULATION-MODEL ; ELEVATION DATA ; LINE SEGMENTS ; WATER ; RAINFALL ; SYSTEMS ; GIS
Indexed BySCI
Language英语
Funding ProjectKey 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]
Funding OrganizationKey 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
WOS Research AreaComputer Science ; Engineering ; Environmental Sciences & Ecology
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Environmental ; Environmental Sciences
WOS IDWOS:000591712700002
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:15[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/156388
Collection中国科学院地理科学与资源研究所
Corresponding AuthorChen, Min
Affiliation1.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ PR China, Nanjing, Peoples R China
2.Australian Natl Univ, Fenner Sch Environm & Soc, Inst Water Futures, Canberra, ACT, Australia
3.Natl Inst Water & Atmospher Res, Christchurch, New Zealand
4.Texas A&M Univ, Dept Ecol & Conservat Biol, Ecol Syst Lab, College Stn, TX USA
5.Chinese Acad Sci, Natl Tibetan Plateau Data Ctr, Key Lab Tibetan Environm Changes & Land Surface P, Inst Tibetan Plateau Res, Beijing, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
7.Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou, Guangdong, Peoples R China
8.Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Kowloon, Hong Kong, Peoples R China
9.State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China
10.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
11.Australian Natl Univ, Math Sci Inst, Canberra, ACT, Australia
12.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China
Recommended Citation
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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