• Sorted by Date • Sorted by Last Name of First Author •
Tang, Zixuan, Zhang, Yongqiang, Tian, Jing, Ma, Ning, Li, Xiaojie, Kong, Dongdong, Cao, Yijing, Yang, Xuening, Wang, Longhao, Zhang, Xuanze, and Chen, Yuyin, 2024. Using hydrological modeling and satellite observations to elucidate subsurface and surface hydrological responses to the extreme drought. Journal of Hydrology, 645:132174, doi:10.1016/j.jhydrol.2024.132174.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024JHyd..64532174T,
author = {{Tang}, Zixuan and {Zhang}, Yongqiang and {Tian}, Jing and {Ma}, Ning and {Li}, Xiaojie and {Kong}, Dongdong and {Cao}, Yijing and {Yang}, Xuening and {Wang}, Longhao and {Zhang}, Xuanze and {Chen}, Yuyin},
title = "{Using hydrological modeling and satellite observations to elucidate subsurface and surface hydrological responses to the extreme drought}",
journal = {Journal of Hydrology},
year = 2024,
month = dec,
volume = {645},
eid = {132174},
pages = {132174},
abstract = "{Climate change and anthropogenic activities have intensified extreme
weather events globally. In the summer of 2022, the Yangtze
River Basin (YRB) in China experienced an extreme drought,
significantly impacting the ecosystems and society. However, the
specific effects of this extreme drought on surface and
subsurface hydrological dynamics remain unclear. Here we
employed satellite-observed terrestrial water storage anomaly
(TWSA) and a modified hydrological model with consideration of
reservoir operation, human water consumption, and water
diversion engineering to quantify how subsurface and surface
water in YRB responded to such an extreme drought in 2022.
Validation against a series of observations shows that the
modified model has good performance in reproducing daily
streamflow, reservoir water storage, lake water storage, and
snow water equivalent. It achieved more precise GRACE TWSA
estimates in the YRB with significant human intervention, and
therefore it can accurately quantify both surface and subsurface
hydrological responses to the 2022 extreme drought. Compared to
the same months (July-December) in 2015{\textendash}2021, the
drought in 2022 resulted in a decrease in precipitation and
discharge of 373 km<SUP loc=``post''>3</SUP> (36 \%) and 324
km<SUP loc=``post''>3</SUP> (50 \%), respectively, while an
increase in evapotranspiration of 156 km<SUP
loc=``post''>3</SUP> (29 \%) in the YRB. In general, the surface
water storage (SWS) is relatively low from July 2022, followed
by subsurface water storage (SSWS) from August 2022, indicating
an approximately one-month lag from the former to the latter.
During the latter half year of 2022, the SWS and SSWS reduced by
48 km<SUP loc=``post''>3</SUP> and 83 km<SUP
loc=``post''>3</SUP>, respectively, suggesting the changes in
the latter dominated the TWS variations. This study sheds light
on the responses of surface and subsurface hydrology to extreme
droughts, and the hydrological modeling framework with
consideration of human activities proposed here holds
applicability beyond the YRB.}",
doi = {10.1016/j.jhydrol.2024.132174},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024JHyd..64532174T},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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