气候变化领域集成服务门户(CCPortal): A novel strategy to assimilate category variables in land-use models based on Dirichlet distribution

CCPortal

DOI	10.1016/j.envsoft.2022.105324
	A novel strategy to assimilate category variables in land-use models based on Dirichlet distribution
	Hu, Xiaoli; Liu, Feng; Qi, Yuan; Zhang, Jinlong; Li, Xin
通讯作者	Li, X (通讯作者)
发表日期	2022
ISSN	1364-8152
EISSN	1873-6726
卷号	149
英文摘要	Data assimilation is an effective approach to reduce the propagation and cumulative errors of land use models. However, as the discrete categorical outputs of land use models, land use data assimilation requires a novel approach distinguished from the traditional assimilation for continuous variables. Here, Bayesian inference for categorical distribution is introduced into a land use cellular automata model to update multiple discrete state variables. The accuracies with data assimilation outperform those of simulation-only. By 2009, kappa coefficient and figure of merit in the entire area increase by 0.34% and 1.78%, respectively, and in fine-scale areas where drastic and representative land use changes occurred, increase by 23.88% and 38.39%, respectively. The assimilation performance is associated with the landscape patch size and the length of the assimilation cycle. This study innovatively introduces the conjugate prior features of Dirichlet distribution into land use assimilation, providing insights and references for discrete variable data assimilation.
关键词	CELLULAR-AUTOMATA URBAN-GROWTH COVER CHANGE INTEGRATION SYSTEM UNCERTAINTIES CALIBRATION DYNAMICS MAPS
英文关键词	Land use; Data assimilation; Cellular automata; Categorical variable; Dirichlet distribution
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:000783636300002
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/260570
推荐引用方式 GB/T 7714	Hu, Xiaoli,Liu, Feng,Qi, Yuan,et al. A novel strategy to assimilate category variables in land-use models based on Dirichlet distribution[J]. 中国科学院青藏高原研究所,2022,149.
APA	Hu, Xiaoli,Liu, Feng,Qi, Yuan,Zhang, Jinlong,&Li, Xin.(2022).A novel strategy to assimilate category variables in land-use models based on Dirichlet distribution.ENVIRONMENTAL MODELLING & SOFTWARE,149.
MLA	Hu, Xiaoli,et al."A novel strategy to assimilate category variables in land-use models based on Dirichlet distribution".ENVIRONMENTAL MODELLING & SOFTWARE 149(2022).