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Remote Sensing for Land & Resources    2021, Vol. 33 Issue (1) : 158-166     DOI: 10.6046/gtzyyg.2020166
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A study of drought and flood evolution in Guangxi based on TRMM data and SPI drought index
YAN Hongbo1,2(), WEI Wanqiu1, LU Xianjian1,2(), HUANG Yuhui1
1. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004,China
2. Guangxi Laboratory of Spatial Information and Mapping, Guilin 541004, China
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Abstract  

Drought is a kind of natural disaster with great influence, heavy disaster and long recovery period. As Guangxi is a large agricultural region, it is of great significance to analyze and forecast the drought situation in Guangxi for disaster prevention and mitigation. In this study, the authors analyzed the rainfall in Guangxi from 1998 to 2019, and introduced the standardized precipitation index (SPI) SPI drought index to verify the applicability of tropical rainfall measurement mission (TRMM) data in Guangxi. In addition, the evolution of drought in Guangxi in the past 22 years was studied, and the trend of drought change in Guangxi was predicted. The results are as follows: ① TRMM 3B43 rainfall data have a high correlation with the measured data of ground stations, which proves that TRMM3b43 rainfall data are suitable for drought monitoring in Guangxi. ② Drought and flood disasters occur frequently in Guangxi, with a large range of flood events every 6 years and serious drought events every 2~3 years. ③ The rainfall in Guangxi is the largest in summer and the smallest in winter, and the overall rainfall pattern is “more in the east and less in the west”. ④ It is estimated that there would be no major drought and flood events in Guangxi in 2020; nevertheless, some cities would have mild floods and mild droughts.
Keywords TRMM data      SPI      drought analysis      Guangxi     
ZTFLH:  TP79  
Corresponding Authors: LU Xianjian     E-mail: 56403075@qq.com;285922956@qq.com
Issue Date: 18 March 2021
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Hongbo YAN
Wanqiu WEI
Xianjian LU
Yuhui HUANG
Cite this article:   
Hongbo YAN,Wanqiu WEI,Xianjian LU, et al. A study of drought and flood evolution in Guangxi based on TRMM data and SPI drought index[J]. Remote Sensing for Land & Resources, 2021, 33(1): 158-166.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020166     OR     https://www.gtzyyg.com/EN/Y2021/V33/I1/158
Fig.1  Geographical location of Guangxi
Fig.2  Flow chart of data processing
SPI范围 旱涝等级
≥2.0 重度洪涝
1.5≤SPI<2.0 中度洪涝
1.0≤SPI<1.5 轻度洪涝
-1.0≤SPI<1.0 正常
-1.5≤SPI<-1.0 轻度干旱
-2.0≤SPI<-1.5 中度干旱
<-2.0 重度干旱
Tab.1  Drought and flood grades corresponding to SPI values
月份 斯皮尔曼相关系数 显著性水平
1月 0.944 <0.001
2月 0.918 <0.001
3月 0.892 <0.001
4月 0.888 <0.001
5月 0.821 <0.001
6月 0.852 <0.001
7月 0.894 <0.001
8月 0.864 <0.001
9月 0.889 <0.001
10月 0.931 <0.001
11月 0.936 <0.001
12月 0.919 <0.001
Tab.2  Correlation analysis of TRMM data and station data
Fig.3  SPI (12) map 1998—2019 calculated from TRMM data
Fig.4  Frequency statistics of drought and flood in 1998—2019
Fig.5-1  Seasonal average precipitation distribution in Guangxi from 1998 to 2019 retrieved from TRMM data
Fig.5-2  Seasonal average precipitation distribution in Guangxi from 1998 to 2019 retrieved from TRMM data
Fig.6  Annual average precipitation distribution in Guangxi from 1998 to 2019 retrieved from TRMM data
分级标准 变化程度 面积百分比/%
θSlope≤-0.01 重度干旱 0.3
-0.01<θSlope≤0 轻度干旱 5.0
0<θSlope≤0.005 正常 64.5
0.005≤<θSlope≤0.01 轻度洪涝 30.0
θSlope>0.01 重度洪涝 0.2
Tab.3  Change trend of rainfall drought and flood in Guangxi by regression analysis
Fig.7  Regional distribution map of karst in Guangxi
Fig.8  Forecast of drought and flood in Guangxi in 2020
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