Source identification of surface water pollution using multivariate statistics combined with physicochemical and socioeconomic parameters

Several multivariate statistical methods were comprehensively used to interpret the temporal, spatial patterns and source identification of surface water pollution in Bohai Bay with the large and complex data. Twelve variables water quality indices were surveyed at 12 sites three times a year (May, August, and October) from 1995 to 2005. Cluster analysis (CA) grouped the eleven years into two clusters, Cluster A (1995 to 2001 except 1998) and cluster B (2002 to 2005 and 1998), and spatial CA divided the entire area into three groups. The results of discriminant analysis showed that the temporal CA and spatial CA were effective with 90% and 83.3% correct assignments, respectively. In cluster A, the pollution sources mainly were nutrient factor from non-point source and Hg pollution, oil and organic pollutions were relatively light. In Cluster B, the organic pollution became the mainly pollution source, and the nutrient pollution was still serious problem. In the results of spatial analysis, the group 1 was mainly affected by anthropogenic pollution, the group 3 was seriously affected by oil spill pollution and nutrients pollution, and the group 2 reflected relatively strong water self-purification ability.

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Assessment of heavy metal river Ingulets surface water pollution

Collection of Scientific Publications NUS ◽

10.15589/jnn20160318 ◽

2017 ◽

Vol 0 (3) ◽

Author(s):

Ganna G. Trokhymenko ◽

Nina V. Tsyhanyuk

Keyword(s):

Water Pollution ◽

Heavy Metal ◽

Surface Water ◽

Surface Water Pollution

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The Synergic Characteristics of Surface Water Pollution and Sediment Pollution with Heavy Metals in the Haihe River Basin, Northern China

Water ◽

10.3390/w10010073 ◽

2018 ◽

Vol 10 (1) ◽

pp. 73 ◽

Cited By ~ 5

Author(s):

Peiru Kong ◽

Xian Cheng ◽

Ranhao Sun ◽

Liding Chen

Keyword(s):

Water Pollution ◽

Heavy Metals ◽

Surface Water ◽

River Basin ◽

Northern China ◽

Sediment Pollution ◽

Haihe River Basin ◽

Haihe River ◽

Surface Water Pollution ◽

The Haihe River Basin

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Evaluarea impactului ecositemelor urbane asupra mediului în regiunea de dezvoltare economica Centru

Impactul antropic asupra calitatii mediului ◽

10.53380/9789975330800.04 ◽

2019 ◽

Author(s):

Constantin Bulimaga ◽

◽

Corina Certan ◽

Keyword(s):

Water Pollution ◽

Surface Water ◽

Anthropogenic Impact ◽

Ph Value ◽

Urban Ecosystems ◽

Soil Extract ◽

Specific Character ◽

Surface Water Pollution

Regardless of the fact that both urban ecosystems studied – Orhei and Telenești – have purification stations, they are still an essential source of surface water pollution. The aqueous soil extract (Telenești) has a pH value of 8 up to 9.8 due to the high content of calcium and potassium in the soil, due to the fact that the area under investigation has a specific character caused by the spread of solonetz-type soils, solonized chernozems, and salinated soils. The anthropogenic impact in urban ecosystems produces an imbalance in the ratio of spontaneous species and ruderal and ruderal-segetal species. The number of spontaneous species is the indicator of the degree of anthropization in urban ecosystems. Urban ecosystems have a major impact on the environment.

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