A study on the characteristics and model of drought in Xinjiang based on multi-source data

doi:10.6046/zrzyyg.2021074

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Abstract

An improved and comprehensive drought monitoring model was developed in this study. Given multi-genetic types such as the interaction of atmospheric precipitation, vegetation growth, and elevation, multiple data sources were selected for the model, including EOS-MODIS data, TRMM precipitation data, and the region SRTM-DEM(digital elevation model) data from 2001 to 2019 in Xinjiang. The parameters including precipitation concentration index (PCI), temperature and vegetation drought index (TVDI), and DEM were calculated, and the principal component analysis (PCA) method was employed to establish the model. Then, the model was used to analyze the spatio-temporal characteristics of drought in the study area. The analytical results show that the annual occurrence frequency of drought in the study area from 2001 to 2019 was high in the middle part and low in the surrounding areas. In addition, drought struck 47.7% of the study area, and the occurrence frequency of drought reached 60% in 32.3% of the drought regions. Meanwhile, drought was concentrated in the Tarim and Turpan basins. The changing trends of drought in the study area differed greatly. For the linear regression slope of drought from March and September, the absolute values of the positive slope were far greater than those of the negative slope. Based on this, it can be predicted that the drought in the study area mainly included spring and summer droughts in 2020.

Keywords drought monitoring multi-source data principal component analysis spatio-temporal evolution trend analysis

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TP79

Issue Date: 14 March 2022

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	Dahui QIN
	Ling YANG
	Lunchao CHEN
	Yunfei DUAN
	Hongliang JIA
	Zhenpei LI
	Jianqin MA

Cite this article:

Dahui QIN,Ling YANG,Lunchao CHEN, et al. A study on the characteristics and model of drought in Xinjiang based on multi-source data[J]. Remote Sensing for Natural Resources, 2022, 34(1): 151-157.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2021074 OR https://www.gtzyyg.com/EN/Y2022/V34/I1/151

Fig.1 Distribution of meteorological stations in the study area

Fig.2 Flow chart for the model constructing

干旱等级	SPEI	SDMI
无旱	$≥ - 0.5$	$≥ 0.4$
轻度干旱	$(- 1.0, - 0.5)$	$(0.3,0.4)$
中度干旱	$(- 1.5, - 1.0]$	$(0.2,0.3]$
重度干旱	$[- 2.0, - 1.5]$	$[0.1,0.2]$
极度干旱	$< - 2.0$	$< 0.1$

Tab.1 Classification of drought levels

Tab.2 The coefficient of correlation between SDMI and SPEI

Fig.3 Drought frequency distribution in the study area

Fig.4 Drought frequency of meteorological station

Fig.5 Drought frequency of inter-monthly

Fig.6 Seasonal drought distribution of the study area

Fig.7 Statistical characteristics of linear regression slope from January to December

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