Occurrence and Distribution of Polycyclic Musks in Surface Water from the Songhua River

2013 ◽  
Vol 726-731 ◽  
pp. 1508-1511
Author(s):  
Bin Yu Lu ◽  
Yu Jie Feng ◽  
Peng Gao ◽  
Zhao Han Zhang
Keyword(s):  
Experimental Data ◽  
Surface Water ◽  
Potential Risk ◽  
Aquatic Organisms ◽  
Risk Assessments ◽  
Songhua River ◽  
Polycyclic Musks ◽  
Polycyclic Musk ◽  
The Songhua River

Concentrations and distributions of four polycyclic musks (galaxolide (HHCB), tonalide (AHTN), celestolide (ADBI) and phantolide (AHMI)) in surface water from the Songhua River were investigated. Experimental data showed that the Songhua River had been polluted to different degrees except the rivers source. Concentrations of HHCB, AHTN, ADBI and AHMI were in the ranges of 6.77-30.65, 2.19-7.97, < LOD-1.94 and < LOD-2.53 ng/L, respectively. The results indicated a low proportion of wastewater burden in this river, and the HHCB and AHTN were the major components. Risk assessments on HHCB and AHTN suggest that the current polycyclic musk levels in Songhua River represent a low potential risk to the aquatic organisms.

Water quality responses to the interaction between surface water and groundwater along the Songhua River, NE China

2018 ◽  
Vol 26 (5) ◽  
pp. 1591-1607 ◽  
Author(s):  
Yanguo Teng ◽  
Bin Hu ◽  
Jieqiong Zheng ◽  
Jinsheng Wang ◽  
Yuanzheng Zhai ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Ne China ◽  
Songhua River ◽  
Surface Water And Groundwater ◽  
The Songhua River

scholarly journals Pharmaceuticals residues in selected tropical surface water bodies from Selangor (Malaysia): Occurrence and potential risk assessments

2018 ◽  
Vol 642 ◽  
pp. 230-240 ◽  
Author(s):  
Sarva Mangala Praveena ◽  
Siti Norashikin Mohamad Shaifuddin ◽  
Syazwani Sukiman ◽  
Fauzan Adzima Mohd Nasir ◽  
Zanjabila Hanafi ◽  
...  
Keyword(s):  
Surface Water ◽  
Potential Risk ◽  
Water Bodies ◽  
Risk Assessments ◽  
Surface Water Bodies

Distribution of Polycyclic Musks in Sediments from the Songhua River

2013 ◽  
Vol 361-363 ◽  
pp. 921-924
Author(s):  
Bin Yu Lu ◽  
Yu Jie Feng ◽  
Zhao Han Zhang ◽  
Nan Lin
Keyword(s):  
Dry Weight ◽  
Songhua River ◽  
Sediment Samples ◽  
Polycyclic Musks ◽  
The Songhua River

Occurrence and distribution of four polycyclic musks in nine sediment samples from the Songhua River were studied by using GC-MS. The concentrations of total polycyclic musks were in the range of 2.91-27.8 ng/g (dry weight, dw), while HHCB, AHTN, ADBI and AHMI were in the ranges of 1.89-16.00, 1.02-6.06, <LOD-2.72 and <LOD-3.02 ng/g (dry weight, dw), respectively. The results indicated that the Songhua River had been polluted with different degree except the river source, and the HHCB and AHTN were the dominant components in the sediments.

Phthalate esters in surface water of Songhua River watershed associated with land use types, Northeast China

2017 ◽  
Vol 25 (8) ◽  
pp. 7688-7698 ◽  
Author(s):  
Zhidan Wen ◽  
Xiaoli Huang ◽  
Dawen Gao ◽  
Ge Liu ◽  
Chong Fang ◽  
...  
Keyword(s):  
Land Use ◽  
Surface Water ◽  
Northeast China ◽  
Phthalate Esters ◽  
Songhua River ◽  
River Watershed ◽  
Land Use Types

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.

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