干旱区生态环境知识资源中心(Arid): Drought monitoring in arid and semi-arid region based on multi-satellite datasets in northwest, China

Arid

DOI	10.1007/s11356-021-14122-y
	Drought monitoring in arid and semi-arid region based on multi-satellite datasets in northwest, China
	Wei, Wei; Zhang, Haoyan; Zhou, Junju; Zhou, Liang; Xie, Binbin; Li, Chuanhua
通讯作者	Zhang, HY (corresponding author), Northwest Normal Univ, Coll Geog & Environm Sci, 967 Anning East Rd, Lanzhou 730070, Gansu, Peoples R China.
来源期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN	0944-1344
EISSN	1614-7499
出版年	2021
英文摘要	Drought is a complex natural disaster affected by multiple climate factors and underlying surface. In recent years, drought monitoring indices of remote sensing have been widely applied to monitor drought in a certain region or global. However, some remote sensing drought monitoring indices do not consider the drought-causing factors enough to reflect the comprehensive drought situation of a region fully. In this paper, a new remote sensing drought monitoring index, called Remote Sensing Drought Evaluation Index (RSDEI), was constructed by combining Vegetation Condition Index (VCI), Temperature Condition Index (TCI), Precipitation Condition Index (PCI), and Soil Moisture Condition Index (SMCI) using the spatial principal component analysis (SPCA) method. The reasonableness of RSDEI was test and verified using Net Primary Productivity (NPP), Standardized Precipitation Evapotranspiration Index (SPEI), and unit area crop yield. The RSDEI was also applied to the drought condition monitoring of the northwest arid and semi-arid region from 2001 to 2019.The result demonstrated that the results showed that the RSDEI had a high correlation coefficient with SPEI-12 (R=0.85, p<0.01). It is concluded that the correlation coefficient between RSDEI and NPP is 0.74 at 95% confidence level, which indicates that RSDEI and NPP have a strong correlation. Then, the correlation between RSDEI and crop yield per unit area is 0.89. The results of RSDEI showed that the drought in northwest China started in May and lasted in September from 2001 to 2019. The lowest value of RSDEI appeared in May, which inflected the significant difference of drought level in different month in northwest China. The result of CV (coefficient of variation) showed that the drought variation in the study area had a stable low fluctuation condition as a whole, in the northwest and northeast of study area, which indicated that the changes of drought were different in the past 19 years. The Hurst exponent analysis showed that the area with the positive evolution of Hurst index (0.5
英文关键词	Drought monitoring Remote sensing datasets SPCA Remote Sensing Drought Evaluation Index Northwest China
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000650195600001
WOS关键词	AGRICULTURAL DROUGHT ; METEOROLOGICAL DROUGHT ; TIBETAN PLATEAU ; UNITED-STATES ; PRECIPITATION ; INDEX ; PATTERNS ; TRMM ; TEMPERATURE ; UPLIFT
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	中国科学院地理科学与资源研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/352166
作者单位	[Wei, Wei; Zhang, Haoyan; Zhou, Junju; Li, Chuanhua] Northwest Normal Univ, Coll Geog & Environm Sci, 967 Anning East Rd, Lanzhou 730070, Gansu, Peoples R China; [Zhou, Liang] Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, Peoples R China; [Zhou, Liang] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; [Xie, Binbin] Lanzhou City Univ, Sch Urban Econ & Tourism Culture, Lanzhou 730070, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Wei, Wei,Zhang, Haoyan,Zhou, Junju,et al. Drought monitoring in arid and semi-arid region based on multi-satellite datasets in northwest, China[J]. 中国科学院地理科学与资源研究所,2021.
APA	Wei, Wei,Zhang, Haoyan,Zhou, Junju,Zhou, Liang,Xie, Binbin,&Li, Chuanhua.(2021).Drought monitoring in arid and semi-arid region based on multi-satellite datasets in northwest, China.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH.
MLA	Wei, Wei,et al."Drought monitoring in arid and semi-arid region based on multi-satellite datasets in northwest, China".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021).