Next Article in Journal
Spatial Evolution of Coastal Tourist City Using the Dyna-CLUE Model in Koh Chang of Thailand during 1990–2050
Previous Article in Journal
Scenario Expression Method for Regional Geological Structures
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJGI
Volume 11
Issue 1
10.3390/ijgi11010048
ijgi-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

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

by
Chongxun Mo
1,2,3,
Xuechen Meng
1,2,3,
Yuli Ruan
1,2,3,*,
Yafang Wang
1,2,3,
Xingbi Lei
1,2,3,
Zhenxiang Xing
4 and
Shufeng Lai
1,2,3
1
College of Architecture and Civil Engineering, Guangxi University, Nanning 530004, China
2
Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, College of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China
3
Guangxi Provincal Engineering Research Center of Water Security and Intelligent Control for Karst Region, Guangxi University, Nanning 530004, China
4
School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150000, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2022, 11(1), 48; https://doi.org/10.3390/ijgi11010048
Submission received: 2 December 2021 / Revised: 7 January 2022 / Accepted: 7 January 2022 / Published: 10 January 2022
Browse Figures
Versions Notes

Abstract

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.
Keywords: IMERG; Chengbi River Basin; drought disaster management; standardized precipitation index IMERG; Chengbi River Basin; drought disaster management; standardized precipitation index

Share and Cite

MDPI and ACS Style

Mo, C.; Meng, X.; Ruan, Y.; Wang, Y.; Lei, X.; Xing, Z.; Lai, S. Drought Assessment Based on Fused Satellite and Station Precipitation Data: An Example from the Chengbi River Basin, China. ISPRS Int. J. Geo-Inf. 2022, 11, 48. https://doi.org/10.3390/ijgi11010048

AMA Style

Mo C, Meng X, Ruan Y, Wang Y, Lei X, Xing Z, Lai S. Drought Assessment Based on Fused Satellite and Station Precipitation Data: An Example from the Chengbi River Basin, China. ISPRS International Journal of Geo-Information. 2022; 11(1):48. https://doi.org/10.3390/ijgi11010048

Chicago/Turabian Style

Mo, Chongxun, Xuechen Meng, Yuli Ruan, Yafang Wang, Xingbi Lei, Zhenxiang Xing, and Shufeng Lai. 2022. "Drought Assessment Based on Fused Satellite and Station Precipitation Data: An Example from the Chengbi River Basin, China" ISPRS International Journal of Geo-Information 11, no. 1: 48. https://doi.org/10.3390/ijgi11010048

APA Style

Mo, C., Meng, X., Ruan, Y., Wang, Y., Lei, X., Xing, Z., & Lai, S. (2022). Drought Assessment Based on Fused Satellite and Station Precipitation Data: An Example from the Chengbi River Basin, China. ISPRS International Journal of Geo-Information, 11(1), 48. https://doi.org/10.3390/ijgi11010048

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop