Identification of anthropogenic influences on water quality of rivers in Taihu watershed

Wang, Xiaolong; Lü, Yonglong; Han, Jianqiao; He, Guizhen; Wang, Tieyu

doi:10.1016/s1001-0742(07)60080-1

Cited by 134 publications

(78 citation statements)

References 16 publications

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“…As stated above, the concentrations of TP showed significant seasonal and spatial variation (p < 0.001) and TP levels were comparatively high for most of the locations in winter 2015. Wang et al [27] reported similar TP levels for rivers surrounding Taihu Lake. Possible runoff from fertilized lawns and cropland, animal manure, and also domestic sewage entry into the water are likely causes [47].…”

Section: Physico-chemical and Microbiological Parametersmentioning

confidence: 76%

Assessment of Water Quality and Identification of Pollution Risk Locations in Tiaoxi River (Taihu Watershed), China

Vadde

Wang

Cao

et al. 2018

Water

106

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Taihu Lake is the third largest freshwater lake in China and serves as a drinking water source for~30 million residents. Tiaoxi River is one of the main rivers connected to this lake and contributes >60% of the source water. Taihu Lake has been facing various environmental issues; therefore, it is important to study the water quality of its inflow rivers. This study aimed to evaluate the physico-chemical and microbiological characteristics of Tiaoxi River and to determine the spatial and seasonal variations in the water quality. Water samples were collected from 25 locations across the Tiaoxi River in three seasons in 2014-2015. Fourteen water quality parameters including multiple nutrients and indicator bacteria were assessed, and the data analyzed by multivariate statistical analyses. The physico-chemical analysis showed high levels (>1 mg/L) of total nitrogen (TN) in all locations for all seasons. Total phosphorus (TP), nitrite-N (NO 2 -N), and ammonium-N (NH 4 -N) exceeded the acceptable limits in some locations and fecal coliform counts were high (>250 CFU/100 mL) in 15 locations. Hierarchical cluster analysis showed that the sampling sites could be grouped into three clusters based on water quality, which were categorized as low, moderate, and high pollution areas. Principal component analysis (PCA) applied to the entire dataset identified four principal components which explained 83% of the variation; pH, conductivity, TP, and NO 3 -N were found to be the key parameters responsible for variations in water quality. The overall results indicated that some of the sampling locations in the Tiaoxi River are heavily contaminated with pollutants from various sources which can be correlated with land use patterns and anthropogenic activities.

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Section: Physico-chemical and Microbiological Parametersmentioning

confidence: 76%

Assessment of Water Quality and Identification of Pollution Risk Locations in Tiaoxi River (Taihu Watershed), China

Vadde

Wang

Cao

et al. 2018

Water

106

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“…Nutrient variables and V-phen contributed the greatest variance of total variation of water quality, which presented the dominant environmental problems to the Canal. Considering that V-phen mainly came from sewage of organicchemistry industry, high consistency in variations of nutrients and V-phen suggested urbanization and industry played a dominant role in variation of water quality within the Canal, although Cao et al (2004) and Wang et al (2004) argued that runoff from agricultural contributed more than 60% nutrients loss in Taihu Region. Only Petro significantly related to factor 3 (counting for 13.5% of the total variance of water quality), which indicated that shipping is an important pollutant resource to the Canal, in view that Petroleum in rivers of Taihu watershed mainly leaked from watercrafts (Cai et al 1997).…”

Section: Discussionmentioning

confidence: 99%

Effects of anthropogenic activities on chemical contamination within the Grand Canal, China

Wang¹,

Han²,

Xu³

et al. 2010

Environ Monit Assess

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Contamination of nutrients and heavy metals within aquatic system is of great concern due to its potential impact on human and animal health. The Grand Canal of China, the largest artificial river in the world, is of great importance in supplying water resource, transporting cargo, and recreating resident, as well as great historical heritage. This study assessed and examined the impact of human activities on characters of contamination distribution within the section of the Canal in Taihu watershed. Physicochemical parameters of surface water quality were determined monthly from the year 2004 to 2006 at

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“…The sampling sites were close to areas of human habitation, agricultural land and forest land [68]. In order to quantify the NO 3 − -N sources in the rivers, it was assumed that the nitrate of the rivers mainly comes from three sources (chemical fertilizer, soil organic N, and sewage) because of the type of land use around the rivers.…”

Section: Quantification Of Nitrate Sources In Riversmentioning

confidence: 99%

Using δ15N and δ18O Signatures to Evaluate Nitrate Sources and Transformations in Four Inflowing Rivers, North of Taihu Lake

Xia

Zheng

2017

Water

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Taihu Lake is the third largest freshwater lake in China. Due to rapid economic development and excessive nutrient discharges, there is serious eutrophication in the northern part of the lake. Nitrogen (N) is one of the key factors for eutrophication in Taihu Lake, which mainly comes from the rivers around the lake. Samples from four inflowing rivers were analysed for δ 15 N and δ 18 O isotopes in December 2013 to identify the different sources of nitrogen in the northern part of Taihu Lake. The results indicated that the water quality in Taihu Lake was clearly influenced by the water quality of the inflowing rivers and nitrate (NO 3 − -N) was the main component of the soluble inorganic nitrogen in water. The soil organic N represented more than 70% of the total NO 3 − -N loads in the Zhihugang. Domestic sewage was the major NO 3 − -N source in the Liangxi river, with a contribution of greater than 50%. Soil organic N and domestic sewage, with contributions of more than 30% and 35% respectively, were the major NO 3 − -N sources in the Lihe river and Daxigang river. Denitrification might be responsible for the shifting δ 15 N-NO 3 − and δ 18 O-NO 3 − values in the Daxigang river, and a mixing process may play a major role in N transformations in the Lihe river in winter. The results of this study will be useful as reference values for reducing NO 3 − pollution in the inflowing rivers in the north of Taihu Lake.

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Identification of anthropogenic influences on water quality of rivers in Taihu watershed

Cited by 134 publications

References 16 publications

Assessment of Water Quality and Identification of Pollution Risk Locations in Tiaoxi River (Taihu Watershed), China

Assessment of Water Quality and Identification of Pollution Risk Locations in Tiaoxi River (Taihu Watershed), China

Effects of anthropogenic activities on chemical contamination within the Grand Canal, China

Using δ15N and δ18O Signatures to Evaluate Nitrate Sources and Transformations in Four Inflowing Rivers, North of Taihu Lake

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