气候变化领域集成服务门户(CCPortal): Position paper: Sensitivity analysis of spatially distributed environmental models- a pragmatic framework for the exploration of uncertainty sources

CCPortal

DOI	10.1016/j.envsoft.2020.104857
	Position paper: Sensitivity analysis of spatially distributed environmental models- a pragmatic framework for the exploration of uncertainty sources
	Koo, Hyeongmo; Iwanaga, Takuya; Croke, Barry Fw; Jakeman, Anthony J.; Yang, Jing; Wang, Hsiao-Hsuan; Sun, Xifu; Lu, Guonian; Li, Xin; Yue, Tianxiang; Yuan, Wenping; Liu, Xintao; Chen, Min
通讯作者	Chen, M (通讯作者)
发表日期	2020
ISSN	1364-8152
EISSN	1873-6726
卷号	134
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.
关键词	GLOBAL SENSITIVITY ERROR PROPAGATION MATHEMATICAL-MODELS SIMULATION-MODEL ELEVATION DATA LINE SEGMENTS WATER RAINFALL SYSTEMS GIS
英文关键词	Sensitivity analysis; Spatially distributed environmental model; Uncertainty; SWAT; Environmental modeling
语种	英语
WOS研究方向	Computer Science ; Engineering ; Environmental Sciences & Ecology ; Water Resources
WOS类目	Computer Science, Interdisciplinary Applications ; Engineering, Environmental ; Environmental Sciences ; Water Resources
WOS记录号	WOS:000591712700002
来源期刊	ENVIRONMENTAL MODELLING & SOFTWARE
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/260091
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]. 中国科学院青藏高原研究所,2020,134.
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.
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).