Drought Assessment Based on Fused Satellite and Station Precipitation Data: An Example from the Chengbi River Basin, China

Drought poses a significant constraint on economic development. Drought assessment using the standardized precipitation index (SPI) uses only precipitation data, eliminating other redundant and complex calculation processes. However, the sparse stations in southwest China and the lack of information...

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Bibliographic Details
Published in:ISPRS international journal of geo-information 2022-01, Vol.11 (1), p.48
Main Authors: Mo, Chongxun, Meng, Xuechen, Ruan, Yuli, Wang, Yafang, Lei, Xingbi, Xing, Zhenxiang, Lai, Shufeng
Format: Article
Language:English
Subjects:
Accuracy
Bias
Chengbi River Basin
Climate change
Distribution functions
Drought
drought disaster management
Economic development
Economics
Evaluation
Flooding
Ground stations
Hydrologic data
IMERG
Monte Carlo simulation
Neural networks
Precipitation
Rain
River basins
Rivers
Satellites
Standardized precipitation index
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Summary:Drought poses a significant constraint on economic development. Drought assessment using the standardized precipitation index (SPI) uses only precipitation data, eliminating other redundant and complex calculation processes. However, the sparse stations in southwest China and the lack of information on actual precipitation measurements make drought assessment highly dependent on satellite precipitation data whose accuracy cannot be guaranteed. Fortunately, the Chengbi River Basin in Baise City is rich in station precipitation data. In this paper, based on the evaluation of the accuracy of IMERG precipitation data, geographically weighted regression (GWR), geographic difference analysis (GDA), and cumulative distribution function (CDF) are used to fuse station precipitation data and IMERG precipitation data, and finally, the fused precipitation data with the highest accuracy are selected to evaluate the drought situation. The results indicate that the accuracy of IMERG precipitation data needs to be improved, and the quality of CDF-fused precipitation data is higher than the other two. The drought analysis indicated that the Chengbi River Basin is in a cyclical drought and flood situation, and from October to December 2014, the SPI was basically between +1 and −1, showing a spatial pattern of slight flooding, normal conditions, and slight drought.
ISSN:2220-9964
2220-9964
DOI:10.3390/ijgi11010048