Drought monitoring in arid and semi-arid region based on multi-satellite datasets in northwest, China

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 4; Zhang, Haoyan 4; Zhou, Junju 4; Zhou, Liang 2,3; Xie, Binbin 1; Li, Chuanhua 4
刊名	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
	2021-05-14
页码	19
关键词	Drought monitoring Remote sensing datasets SPCA Remote Sensing Drought Evaluation Index Northwest China
ISSN号	0944-1344
DOI	10.1007/s11356-021-14122-y
通讯作者	Zhang, Haoyan(zhanghy0945@outlook.com)
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
资助项目	National Natural Science Foundation of China[41861040] ; National Natural Science Foundation of China[41761047] ; Natural Science Foundation of Gansu Province[1506RJZA129]
WOS关键词	AGRICULTURAL DROUGHT ; METEOROLOGICAL DROUGHT ; TIBETAN PLATEAU ; UNITED-STATES ; PRECIPITATION ; INDEX ; PATTERNS ; TRMM ; TEMPERATURE ; UPLIFT
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000650195600001
资助机构	National Natural Science Foundation of China ; Natural Science Foundation of Gansu Province
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/162925]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Haoyan
作者单位	1.Lanzhou City Univ, Sch Urban Econ & Tourism Culture, Lanzhou 730070, Gansu, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, Peoples R China 4.Northwest Normal Univ, Coll Geog & Environm Sci, 967 Anning East Rd, 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]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2021:19.
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,19.
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):19.