干旱区生态环境知识资源中心(Arid): Study of the spatiotemporal variability in agricultural drought vulnerability based on a dynamic classification projection pursuit model

Arid

DOI	10.1007/s12517-019-4949-0
	Study of the spatiotemporal variability in agricultural drought vulnerability based on a dynamic classification projection pursuit model
	Pei, Wei 1; Fu, Qiang 2,3,4; Li, Tianxiao 2; Wang, Peng 1; Hou, Renjie 2
通讯作者	Fu, Qiang
来源期刊	ARABIAN JOURNAL OF GEOSCIENCES
ISSN	1866-7511
EISSN	1866-7538
出版年	2019
卷号	12 期号:24
英文摘要	Studies of the temporal and spatial variabilities in agricultural drought vulnerability can help researchers better understand the potential risks of regional agricultural drought. In this paper, projection points with approximate numerical values are grouped into one class, and the degree of dispersion is measured by the information entropy rather than the standard deviation. Then, the projection pursuit model is improved. Finally, the model is applied to assess the spatiotemporal variability in agricultural drought vulnerability for 10 counties in Qiqihar, a typical semi-arid region in China. The model analysis shows that the improved model avoids the cutoff radius, which is one of the difficulties of traditional models. Moreover, information entropy is superior to the standard deviation in measuring data. The vulnerability results show that regional drought vulnerability exhibits an increasing trend over time, the vulnerability in the northern part of the region is relatively high, and the vulnerability in the central and southern parts of the region is relatively low. The improved model can enrich the theory of projection pursuit, and the temporal and spatial variability of vulnerability results can provide a reference for resisting agricultural droughts in semi-arid areas.
英文关键词	Drought vulnerability Spatiotemporal variability Projection pursuit China Qiqihar
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000501849400002
WOS关键词	RISK-ASSESSMENT ; WATER ; ALGORITHM ; ENTROPY
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
EI主题词	2019-12-01
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/311252
作者单位	1.Northeast Agr Univ, Coll Arts & Sci, Harbin 150030, Heilongjiang, Peoples R China; 2.Northeast Agr Univ, Sch Water Conservancy & Civil Engn, Harbin 150030, Heilongjiang, Peoples R China; 3.Northeast Agr Univ, Key Lab Effect Utilizat Agr Water Resources, Minist Agr, Harbin 150030, Heilongjiang, Peoples R China; 4.Northeast Agr Univ, Heilongjiang Prov Key Lab Water Resources & Water, Harbin 150030, Heilongjiang, Peoples R China
推荐引用方式 GB/T 7714	Pei, Wei,Fu, Qiang,Li, Tianxiao,et al. Study of the spatiotemporal variability in agricultural drought vulnerability based on a dynamic classification projection pursuit model[J],2019,12(24).
APA	Pei, Wei,Fu, Qiang,Li, Tianxiao,Wang, Peng,&Hou, Renjie.(2019).Study of the spatiotemporal variability in agricultural drought vulnerability based on a dynamic classification projection pursuit model.ARABIAN JOURNAL OF GEOSCIENCES,12(24).
MLA	Pei, Wei,et al."Study of the spatiotemporal variability in agricultural drought vulnerability based on a dynamic classification projection pursuit model".ARABIAN JOURNAL OF GEOSCIENCES 12.24(2019).