TY - JOUR
T1 - Evaluation of drought propagations with multiple indices in the Yangtze River basin
AU - Um, Myoung Jin
AU - Kim, Yeonjoo
AU - Jung, Kichul
AU - Lee, Moonyoung
AU - An, Heejin
AU - Min, Inkyung
AU - Kwak, Jaesang
AU - Park, Daeryong
N1 - 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.
KW - Agricultural drought
KW - Drought propagation
KW - Hydrological drought
KW - Lag times
KW - Meteorological drought
KW - Yangtze river basin
UR - http://www.scopus.com/inward/record.url?scp=85132329387&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85132329387&partnerID=8YFLogxK
U2 - 10.1016/j.jenvman.2022.115494
DO - 10.1016/j.jenvman.2022.115494
M3 - Article
C2 - 35751287
AN - SCOPUS:85132329387
SN - 0301-4797
VL - 317
JO - Journal of Environmental Management
JF - Journal of Environmental Management
M1 - 115494
ER -
