scholarly journals The role of snow and ice thickness on river ice process in Songhua River basin, Northeast China

2019 ◽  
Author(s):  
Qian Yang ◽  
Kaishan Song ◽  
Xiaohua Hao ◽  
Zhidan Wen ◽  
Yue Tan ◽  
...  
Keyword(s):  
River Basin ◽  
Air Temperature ◽  
Snow Depth ◽  
Northeast China ◽  
River Ice ◽  
Ice Thickness ◽  
Songhua River ◽  
Songhua River Basin ◽  
Ice Phenology

Abstract. Songhua River basin is a sensitive area to global warming in Northeast China that could be indicated by changes in lake and river ice development. The regional role and trends of ice characteristics of this area have been scarcely investigated, which are critical for aquatic ecosystem, climate variability, and human activities. Based on the ice record of hydrological stations, we examined the spatial variations of the ice phenology and ice thickness in Songhua River basin in Northeast China from 2010 to 2015 and explored the role of ice thickness, snow during ice-on and ice-off process. All five river ice phenology including freeze-up start, freeze-up end, break-up start, break-up end and complete frozen duration showed latitudinal distribution and a changing direction from southeast to northwest, and five typically geographic zones were identified based on rotated empirical orthogonal function. Maximum ice thickness had a higher correlation with five parameters than that of average snow depth and air temperature on bank. A linear regression function was established between ice thickness and snow depth on ice and indicated ice thickness was closely associated with snow depth on ice. The air temperature had higher correlation with ice phenology and influenced the lake ice phenology significantly, and snow cover did not show significant correlation with the ice phenology. However, snow cover correlated with ice thickness significantly and positively during the periods when the freshwater is completely frozen.

scholarly journals Investigation of spatial and temporal variability of river ice phenology and thickness across Songhua River Basin, northeast China

2020 ◽  
Vol 14 (11) ◽  
pp. 3581-3593
Author(s):  
Qian Yang ◽  
Kaishan Song ◽  
Xiaohua Hao ◽  
Zhidan Wen ◽  
Yue Tan ◽  
...  
Keyword(s):  
River Basin ◽  
Air Temperature ◽  
Regression Models ◽  
River Ice ◽  
Changbai Mountains ◽  
Ice Thickness ◽  
Songhua River ◽  
Songhua River Basin ◽  
The Songhua River Basin ◽  
Ice Phenology

Abstract. The regional role and trends of freshwater ice are critical factors for aquatic ecosystems, climate variability, and human activities. The ice regime has been scarcely investigated in the Songhua River Basin of northeast China. Using daily ice records of 156 hydrological stations across the region, we examined the spatial variability in the river ice phenology and river ice thickness from 2010 to 2015 and explored the role of snow depth and air temperature on the ice thickness. The river ice phenology showed a latitudinal distribution and a changing direction from southeast to northwest. We identified two spatial clusters based on Moran's I spatial autocorrelation, and results showed that the completely frozen duration with high values clustered in the Xiao Hinggan Range and that with low values clustered in the Changbai Mountains at the 95 % confidence level. The maximum ice thickness over 125 cm was distributed along the ridge of the Da Hinggan Range and Changbai Mountains, and the maximum ice thickness occurred most often in February and March. In three subbasins of the Songhua River Basin, we developed six Bayesian regression models to predict ice thickness from air temperature and snow depth. The goodness of the fit (R2) for these regression models ranged from 0.80 to 0.95, and the root mean square errors ranged from 0.08 to 0.18 m. Results showed significant and positive correlations between snow cover and ice thickness when freshwater was completely frozen. Ice thickness was influenced by the cumulative air temperature of freezing through the heat loss of ice formation and decay instead of just air temperature.

Multi-index drought characteristics in Songhua River basin, Northeast China

2019 ◽  
Vol 78 (1) ◽  
pp. 1-19 ◽  
Author(s):  
MA Faiz ◽  
D Liu ◽  
Q Fu ◽  
F Baig ◽  
AA Tahir ◽  
...  
Keyword(s):  
River Basin ◽  
Northeast China ◽  
Songhua River ◽  
Multi Index ◽  
Songhua River Basin ◽  
Drought Characteristics

Stream flow variability and drought severity in the Songhua River Basin, Northeast China

2017 ◽  
Vol 32 (5) ◽  
pp. 1225-1242 ◽  
Author(s):  
Muhammad Abrar Faiz ◽  
Dong Liu ◽  
Qiang Fu ◽  
Muhammad Uzair ◽  
Muhammad Imran Khan ◽  
...  
Keyword(s):  
River Basin ◽  
Northeast China ◽  
Stream Flow ◽  
Drought Severity ◽  
Songhua River ◽  
Flow Variability ◽  
Songhua River Basin ◽  
The Songhua River Basin ◽  
The Songhua River

scholarly journals Some aspects of ice phenology on ponds in central Alaska, USA

2007 ◽  
Vol 46 ◽  
pp. 397-403 ◽  
Author(s):  
Martin O. Jeffries ◽  
Kim Morris
Keyword(s):  
Air Temperature ◽  
Ice Cover ◽  
Ice Thickness ◽  
Minor Role ◽  
Strongly Correlated ◽  
Break Up ◽  
Long Term Observation ◽  
Change In Mean ◽  
Ice Phenology

AbstractIce phenology (freeze-up, break-up and duration) was monitored for five seasons between autumn 2001 and spring 2006 at 11 small, shallow ponds in the boreal forest of central Alaska, USA. The sequence in which freeze-up (FU; day of 100% ice cover) and break-up (BU; day of zero ice cover) occurred at the 11 ponds showed moderately high to very high coherence each season. This was probably due to FU and BU being poorly correlated with pond morphometry (area, depth). BU is strongly correlated with April mean air temperature; a ±1˚C change in mean April air temperature is equivalent to a ±1.86 day change in BU. FU and air-temperature relationships are inconclusive, primarily because post-FU warm intervals in two autumns cause an anticorrelation between mean September air temperature and FU. Mean ice duration varies between 205 and 225 days, and is strongly correlated with maximum ice thickness through its effect on BU. A ±10mm change in maximum ice thickness will cause a ±0.6 day change in ice duration. Maximum ice thickness and ice composition (snow ice, congelation ice) also have a strong influence on break-up when all data from all ponds and all years are considered. The predictability of FU and BU sequence, the minor role of morphometry in FU and BU, the strong role of April mean air temperature in BU, and the role of maximum ice thickness in duration suggests that these ponds would be good sites for continued long-term observation of phenology and the influence of weather/climate variation and change, and for freeze-up/break-up process studies, particularly the role of ice composition and albedo.

Sign in / Sign up

Export Citation Format

Share Document