Zhiyong Liu

Dr. Zhiyong Liu


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2018 in Journal of Hydrology
Verified
Journal Article
Closed access
JWJiefeng Wu
Jiefeng Wu
ZLZhiyong Liu
Zhiyong Liu
Huaxia YaoHuaxia Yao
Huaxia Yao
Xiaohong ChenXiaohong Chen
Xiaohong Chen
XCXingwei Chen
Xingwei Chen
YHYanhu He
Yanhu He

1 May 2020 in Journal of Hydrology
Verified
Journal Article
Closed access
Kairong LinKairong Lin
Kairong Lin
HCHaiyan Chen
Haiyan Chen
Chong-Yu XuChong-Yu Xu
Chong-Yu Xu
PYPing Yan
Ping Yan
TLTian Lan
Tian Lan
Chunyu DongChunyu Dong
Chunyu Dong

6 July 2020 in Nature Climate Change
Verified
Journal Article
Closed access
PDF file
LCLei Chen
Lei Chen
HHHeikki Hänninen
Heikki Hänninen
SRSergio Rossi
Sergio Rossi
NSNicholas Gregory Smith
Nicholas Gregory Smith
SPStephanie Pau
Stephanie Pau
JLJianquan Liu
Jianquan Liu

1 September 2018 in Environmental Research Letters
Verified
Journal Article
Open access
PDF file
PZPing Zhou
Ping Zhou
ZLZhiyong Liu
Zhiyong Liu

29 November 2018 in Water Resources Research
Verified
Journal Article
Open access
PDF file
JWJiefeng Wu
Jiefeng Wu
Xiaohong ChenXiaohong Chen
Xiaohong Chen
Huaxia YaoHuaxia Yao
Huaxia Yao
ZLZhiyong Liu
Zhiyong Liu
DZDejian Zhang
Dejian Zhang
It is difficult to predict and track the propagation of a hydrological drought because it is hard to determine its propagation speed. We propose a useful framework for calculating the hydrological drought instantaneous propagation speed which includes the instantaneous development speed (IDS) and instantaneous recovery speed (IRS). First, the run theory was applied to subdivide the propagation of individual hydrological drought events into the development and recovery stages and to determine the individual propagation times (drought development duration and drought recovery duration). Then the hydrological drought instantaneous propagation speed of each hydrological drought event, including the IDS and IRS, were determined based on the variable motion relationship of speed‐time process commonly applied in physics. Finally, the optimal theoretical values of the IDS and IRS were evaluated using a cross‐validation method. Three hydrometric stations, located at the upstream catchment with less human activities influence, were chosen from different countries (China, the United States, and Germany) to demonstrate the satisfactory performance of this proposed framework. The results indicate that the variable motion relationship of speed‐time process can provide an assessment of the overall hydrological drought propagation and perform well for identifying the propagation time in these study areas. The optimal theoretical values of IDS (or IRS) obtained by the variable motion relationship can simulate the actual drought development duration (or drought recovery duration) of hydrological drought well. The sensitivity of IDS (or IRS) of hydrological drought is correlated with climate, catchment characteristics, and human activities that should be explored to improve hydrological drought propagation prediction.

1 November 2014 in Journal of Hydrology
Verified
Journal Article
Closed access
ZLZhiyong Liu
Zhiyong Liu
PZPing Zhou
Ping Zhou
GCGang Chen
Gang Chen
LGLedong Guo
Ledong Guo