Spatial and temporal distribution of acetochlor in sediments and riparian soils of the Songhua River Basin in northeastern China

2011 ◽  
Vol 23 (10) ◽  
pp. 1684-1690 ◽  
Author(s):  
Xiaoyin Sun ◽  
Qixing Zhou ◽  
Wenjie Ren ◽  
Xuhui Li ◽  
Liping Ren
Keyword(s):  
River Basin ◽  
Temporal Distribution ◽  
Northeastern China ◽  
Spatial And Temporal Distribution ◽  
Songhua River ◽  
Songhua River Basin ◽  
Riparian Soils ◽  
The Songhua River Basin ◽  
The Songhua River

Dynamic changes in snowfall extremes in the Songhua River Basin, Northeastern China

2020 ◽  
Vol 41 (1) ◽  
pp. 423-438 ◽  
Author(s):  
Keyuan Zhong ◽  
Fenli Zheng ◽  
Xunchang Zhang ◽  
Chao Qin ◽  
Ximeng Xu ◽  
...  
Keyword(s):  
River Basin ◽  
Northeastern China ◽  
Dynamic Changes ◽  
Songhua River ◽  
Songhua River Basin ◽  
The Songhua River Basin ◽  
The Songhua River

Runoff Fractal Dimension of Songhua River Basin in Harbin Station Based on Db4 Wavelet

2012 ◽  
Vol 550-553 ◽  
pp. 2537-2540
Author(s):  
Hai Yan Gu ◽  
Yong Wang ◽  
Lei Yu
Keyword(s):  
Time Series ◽  
Fractal Dimension ◽  
River Basin ◽  
Fractal Theory ◽  
Measurement Methods ◽  
Self Similarity ◽  
Songhua River ◽  
Songhua River Basin ◽  
The Songhua River Basin ◽  
The Songhua River

The wavelet analysis and fractal theory into the analysis of hydrological time series, fluctuations in hydrological runoff sequence given the complexity of the measurement methods--- fractal dimension. The real monthly runoffs of 28 years from Songhua River basin in Harbin station are selected as research target. Wavelet transform combined with spectrum method is used to calculate the fractal dimension of runoff. Moreover, the result demonstrates that the runoff in Songhua River basin has the characteristic of self-similarity, and the complexity of runoff in the Songhua River basin in Harbin station is described quantificationally.

Analysis of the potential contamination risk of riverside key monitored enterprises on the aquatic environment of the Songhua River Basin

2016 ◽  
Vol 36 (9) ◽  
Author(s):  
沈园 SHEN Yuan ◽  
谭立波 TAN Libo ◽  
单鹏 SHAN Peng ◽  
曹慧明 CAO Huiming ◽  
邓红兵 DENG Hongbing
Keyword(s):  
River Basin ◽  
Aquatic Environment ◽  
Songhua River ◽  
Songhua River Basin ◽  
Contamination Risk ◽  
The Songhua River Basin ◽  
The Songhua River

scholarly journals Using Dual Isotopes of Nitrate to Identify the Source of Nitrogen Pollution in the Songhua River Basin, Northeast China

Water ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 2721
Author(s):  
Kuangmin Ye ◽  
Fansheng Meng ◽  
Lingsong Zhang ◽  
Yeyao Wang ◽  
Hao Xue ◽  
...  
Keyword(s):  
River Basin ◽  
High Flow ◽  
Nitrogen Pollution ◽  
Low Flow ◽  
Organic N ◽  
Severe Problem ◽  
Songhua River ◽  
Songhua River Basin ◽  
The Songhua River Basin ◽  
The Songhua River

Nitrogen pollution is a severe problem in the Songhua River Basin (SHR) in China. Samples were collected from 36 sections of the SHR during the high, low, and flat seasons of the river, and the main sources of nitrogen in the water were qualitatively analyzed with isotope data for nitrogen and oxygen of nitrate. The contribution rates of each major pollution source were quantitatively analyzed using the Iso Source mass balance model. The results from these experiments indicate that the values for δ15N-NO3 and δ18O-NO3 in the flat flow season range from 1.52‰ to 14.55‰ and −14.26‰ to 2.03‰, respectively. The values for δ15N-NO3 and δ18O-NO3 in the low flow season range from 6.66‰ to 15.46‰ and −5.82‰ to 65.70‰, respectively. In the low flow season, nitrogen comes from the input of domestic and manure sewage (53%) and soil organic N (45%). The values of δ15N-NO3 and δ18O-NO3 in the high flow season range from 2.07‰ to 14.24‰ and −3.99‰ to 8.03‰, respectively. In the high flow season, nitrogen comes from soil organic nitrogen (41%), domestic and manure sewage (32%), and nitrogen fertilizer (27%), which are the main sources of nitrogen pollution in the SHR. The conclusions from the qualitative and quantitative analysis of nitrogen sources in the SHR can provide a scientific basis for the source control and treatment of nitrogen pollution.

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