Preliminary studies on the ionic pulse of snowmelt runoff in the Urumqi River, Xinjiang, Northwest China

1997 ◽  
Vol 42 (19) ◽  
pp. 1643-1646 ◽  
Author(s):  
Fengjing Liu ◽  
Mark Williams ◽  
Guodong Cheng ◽  
Daqing Yang

2021 ◽  
Vol 22 (1) ◽  
pp. 169-182
Author(s):  
Wenyi Xie ◽  
Xiankui Zeng ◽  
Dongwei Gui ◽  
Jichun Wu ◽  
Dong Wang

AbstractThe climate of the Tizinafu River basin is characterized by low temperature and sparse precipitation, and snow and glacier melt serve as the main water resource in this area. Modeling the snowmelt runoff process has great significance for local ecosystems and residents. The total streamflow of the Tizinafu River basin was divided into surface streamflow and baseflow. The surface streamflow was estimated using the routing model (RM) with Noah runoff data from Global Land Data Assimilation (GLDAS), and the parameter uncertainty of the RM was quantified through Markov chain Monte Carlo simulation. Additionally, the 10 commonly used baseflow separation methods of four categories [digital filter, hydrograph separation program (HYSEP), baseflow index, and Kalinlin methods] were used to generate the baseflow and were then evaluated by their performance in total streamflow simulation. The results demonstrated that the RM driven by GLDAS runoff data could reproduce the runoff process of the Tizinafu River basin. RM-Hl (local minimum HYSEP method) achieved the best performance in the total streamflow simulation, with Nash–Sutcliffe efficiency (NSE) coefficients of 0.82 and 0.93, relative errors of −0.40% and 10.50%, and observation inclusion ratios C of 62.07% and 68.52% for the calibration and verification periods, respectively. The local minimum HYSEP method was most suitable for describing the baseflow of the Tizinafu River basin among the 10 baseflow separation methods. However, digital filter methods exhibited weak performance in baseflow separation.



2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Yonggang Ma ◽  
Yue Huang ◽  
Xi Chen ◽  
Yongping Li ◽  
Anming Bao

An integrated modeling system has been developed for analyzing the impact of climate change on snowmelt runoff in Kaidu Watershed, Northwest China. The system couples Hadley Centre Coupled Model version 3 (HadCM3) outputs with Snowmelt Runoff Model (SRM). The SRM was verified against observed discharge for outlet hydrological station of the watershed during the period from April to September in 2001 and generally performed well for Nash-Sutcliffe coefficient (EF) and water balance coefficient (RE). The EF is approximately over 0.8, and the water balance error is lower than ± 10%, indicating reasonable prediction accuracy. The Statistical Downscaling Model (SDSM) was used to downscale coarse outputs of HadCM3, and then the downscaled future climate data were used as inputs of the SRM. Four scenarios were considered for analyzing the climate change impact on snowmelt flow in the Kaidu Watershed. And the results indicated that watershed hydrology would alter under different climate change scenarios. The stream flow in spring is likely to increase with the increased mean temperature; the discharge and peck flow in summer decrease with the decreased precipitation under Scenarios 1 and 2. Moreover, the consideration of the change in cryosphere area would intensify the variability of stream flow under Scenarios 3 and 4. The modeling results provide useful decision support for water resources management.





2019 ◽  
Vol 51 (5) ◽  
Author(s):  
Qingtao Wang ◽  
Chuanyan Zhao ◽  
Yunpu Zheng ◽  
Muhammad Waseem Ashiq ◽  
Xiaoping Wang ◽  
...  


2010 ◽  
Vol 18 (5) ◽  
pp. 917-922
Author(s):  
Yu-Feng LAN ◽  
Hai-Yong XIA ◽  
Hong-Liang LIU ◽  
Si-Cun YANG ◽  
Jian-Guo SONG ◽  
...  




2010 ◽  
Vol 27 (1) ◽  
pp. 75-82 ◽  
Author(s):  
Ni GUO ◽  
Xiao-ping WANG ◽  
Di-hua CAI ◽  
Ji-zu QING


2004 ◽  
Vol 31 (4) ◽  
pp. 357-365 ◽  
Author(s):  
Kecun Zhang ◽  
Jianjun Qu ◽  
Qinhe Liu


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