Evaluation of drought propagations with multiple indices in the Yangtze River basin

Myoung Jin Um; Yeonjoo Kim; Kichul Jung; Moonyoung Lee; Heejin An; Inkyung Min; Jaesang Kwak; Daeryong Park

doi:10.1016/j.jenvman.2022.115494

Evaluation of drought propagations with multiple indices in the Yangtze River basin

Myoung Jin Um, Yeonjoo Kim, Kichul Jung, Moonyoung Lee, Heejin An, Inkyung Min, Jaesang Kwak, Daeryong Park

Department of Civil and Environmental Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

This paper explored the drought propagation phenomenon based on meteorological, hydrological, and agricultural aspects in the Yangtze River basin (YRB), China. To evaluate meteorological, hydrological, and agricultural droughts, this paper used three drought indices, standardized precipitation evapotranspiration index (SPEI), standardized runoff index (SRI), and standardized soil moisture index (SSMI), respectively. The community land model (CLM) in the YRB to generate the monthly evapotranspiration, soil moisture, runoff data, which are required for the estimation of drought index, were applied. Different mean durations (6-and 12-month) were used for drought estimation, and propagations of meteorological to hydrological and meteorological and agricultural droughts were investigated for different durations as SPEI6-SRI6, SPEI6-SSMI6, SPEI12-SRI12, SPEI12-SSMI12. The average drought propagation between 1950 and 2010 presented the highest autocorrelation and correlation with one-month lags in four combinations of drought indices in SPEI6-SRI6, SPEI6-SSMI6, SPEI12-SRI12, and SPEI12-SSMI12. Additionally, this paper estimated the optimal lags of SPEI-SRI and SPEI-SSMI drought propagations using mean 6-and 12-month lag times for six representative drought periods. Therefore, the propagation phenomenon of meteorological to hydrological and to agricultural droughts were confirmed in the YRB.

Original language	English
Article number	115494
Journal	Journal of Environmental Management
Volume	317
DOIs	https://doi.org/10.1016/j.jenvman.2022.115494
Publication status	Published - 2022 Sept 1

Bibliographical note

Funding Information:
This work was supported by Korea Environment Industry & Technology Institute(KEITI) through Aquatic Ecosystem Conservation Research Program(or Project), funded by Korea Ministry of Environment(MOE) ( 2022003050007 ) and by the National Research Foundation of Korea (NRF) grant funded by the Korea government ( MSIT ) ( NRF-2022R1A2C2004034 ). Also, this research has been performed as Project Open Innovation R&D (21-BC-002) and supported by K-water.

Publisher Copyright:
© 2022 Elsevier Ltd

All Science Journal Classification (ASJC) codes

Environmental Engineering
Waste Management and Disposal
Management, Monitoring, Policy and Law

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.jenvman.2022.115494

Cite this

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title = "Evaluation of drought propagations with multiple indices in the Yangtze River basin",

abstract = "This paper explored the drought propagation phenomenon based on meteorological, hydrological, and agricultural aspects in the Yangtze River basin (YRB), China. To evaluate meteorological, hydrological, and agricultural droughts, this paper used three drought indices, standardized precipitation evapotranspiration index (SPEI), standardized runoff index (SRI), and standardized soil moisture index (SSMI), respectively. The community land model (CLM) in the YRB to generate the monthly evapotranspiration, soil moisture, runoff data, which are required for the estimation of drought index, were applied. Different mean durations (6-and 12-month) were used for drought estimation, and propagations of meteorological to hydrological and meteorological and agricultural droughts were investigated for different durations as SPEI6-SRI6, SPEI6-SSMI6, SPEI12-SRI12, SPEI12-SSMI12. The average drought propagation between 1950 and 2010 presented the highest autocorrelation and correlation with one-month lags in four combinations of drought indices in SPEI6-SRI6, SPEI6-SSMI6, SPEI12-SRI12, and SPEI12-SSMI12. Additionally, this paper estimated the optimal lags of SPEI-SRI and SPEI-SSMI drought propagations using mean 6-and 12-month lag times for six representative drought periods. Therefore, the propagation phenomenon of meteorological to hydrological and to agricultural droughts were confirmed in the YRB.",

author = "Um, {Myoung Jin} and Yeonjoo Kim and Kichul Jung and Moonyoung Lee and Heejin An and Inkyung Min and Jaesang Kwak and Daeryong Park",

note = "Funding Information: This work was supported by Korea Environment Industry & Technology Institute(KEITI) through Aquatic Ecosystem Conservation Research Program(or Project), funded by Korea Ministry of Environment(MOE) ( 2022003050007 ) and by the National Research Foundation of Korea (NRF) grant funded by the Korea government ( MSIT ) ( NRF-2022R1A2C2004034 ). Also, this research has been performed as Project Open Innovation R&D (21-BC-002) and supported by K-water. Publisher Copyright: {\textcopyright} 2022 Elsevier Ltd",

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doi = "10.1016/j.jenvman.2022.115494",

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AU - Um, Myoung Jin

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AU - An, Heejin

AU - Min, Inkyung

AU - Kwak, Jaesang

AU - Park, Daeryong

N1 - Funding Information: This work was supported by Korea Environment Industry & Technology Institute(KEITI) through Aquatic Ecosystem Conservation Research Program(or Project), funded by Korea Ministry of Environment(MOE) ( 2022003050007 ) and by the National Research Foundation of Korea (NRF) grant funded by the Korea government ( MSIT ) ( NRF-2022R1A2C2004034 ). Also, this research has been performed as Project Open Innovation R&D (21-BC-002) and supported by K-water. Publisher Copyright: © 2022 Elsevier Ltd

PY - 2022/9/1

Y1 - 2022/9/1

N2 - This paper explored the drought propagation phenomenon based on meteorological, hydrological, and agricultural aspects in the Yangtze River basin (YRB), China. To evaluate meteorological, hydrological, and agricultural droughts, this paper used three drought indices, standardized precipitation evapotranspiration index (SPEI), standardized runoff index (SRI), and standardized soil moisture index (SSMI), respectively. The community land model (CLM) in the YRB to generate the monthly evapotranspiration, soil moisture, runoff data, which are required for the estimation of drought index, were applied. Different mean durations (6-and 12-month) were used for drought estimation, and propagations of meteorological to hydrological and meteorological and agricultural droughts were investigated for different durations as SPEI6-SRI6, SPEI6-SSMI6, SPEI12-SRI12, SPEI12-SSMI12. The average drought propagation between 1950 and 2010 presented the highest autocorrelation and correlation with one-month lags in four combinations of drought indices in SPEI6-SRI6, SPEI6-SSMI6, SPEI12-SRI12, and SPEI12-SSMI12. Additionally, this paper estimated the optimal lags of SPEI-SRI and SPEI-SSMI drought propagations using mean 6-and 12-month lag times for six representative drought periods. Therefore, the propagation phenomenon of meteorological to hydrological and to agricultural droughts were confirmed in the YRB.

AB - This paper explored the drought propagation phenomenon based on meteorological, hydrological, and agricultural aspects in the Yangtze River basin (YRB), China. To evaluate meteorological, hydrological, and agricultural droughts, this paper used three drought indices, standardized precipitation evapotranspiration index (SPEI), standardized runoff index (SRI), and standardized soil moisture index (SSMI), respectively. The community land model (CLM) in the YRB to generate the monthly evapotranspiration, soil moisture, runoff data, which are required for the estimation of drought index, were applied. Different mean durations (6-and 12-month) were used for drought estimation, and propagations of meteorological to hydrological and meteorological and agricultural droughts were investigated for different durations as SPEI6-SRI6, SPEI6-SSMI6, SPEI12-SRI12, SPEI12-SSMI12. The average drought propagation between 1950 and 2010 presented the highest autocorrelation and correlation with one-month lags in four combinations of drought indices in SPEI6-SRI6, SPEI6-SSMI6, SPEI12-SRI12, and SPEI12-SSMI12. Additionally, this paper estimated the optimal lags of SPEI-SRI and SPEI-SSMI drought propagations using mean 6-and 12-month lag times for six representative drought periods. Therefore, the propagation phenomenon of meteorological to hydrological and to agricultural droughts were confirmed in the YRB.

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SN - 0301-4797

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Evaluation of drought propagations with multiple indices in the Yangtze River basin

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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