Toxicity identification evaluation of sediments in Liaohe River

Ke, Xin; Gao, Lili; Huang, Hao; Kumar, Santosh

doi:10.1016/j.marpolbul.2015.01.020

Cited by 26 publications

(20 citation statements)

References 24 publications

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“…The higher TP and E. coli values observed in most group B sites were primarily due to the fact that the region is a rapidly developing area with the highest population density in the Liao River basin and is characterized by large-scale livestock and poultry breeding production and large areas of cropland [10]. The highest average Hg concentration in the Liao River basin was found in the lower reaches of the Taizi River (Figure 6), due to effluents from industrial wastewater from the cities of Benxi and Anshan [2,10,21,42,44,49,50]. The average Pb concentration in the Liao River basin was higher in the middle reaches of the Hun River and Liao River (Figure 6) because of the surrounding industrial wastewater discharge and mining activities [10,21,25,42,49].…”

Section: Discussionmentioning

confidence: 99%

“…The majority of monitoring sites in group A clearly received more heavy metal pollution during HF period than NF and LF periods. Because the areas surrounding some sites in group A were characterized by mineral exploitation activity [10,21,25,50], heavy rainfall carried heavy metals to the surrounding river (e.g., upstream regions of the Hun and Taizi Rivers). Most sites in groups A and C received more nutrient and fecal pollution during the HF period than in the NF and LF periods.…”

Section: Discussionmentioning

confidence: 99%

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Integrated Application of Multivariate Statistical Methods to Source Apportionment of Watercourses in the Liao River Basin, Northeast China

Chen

Fan

et al. 2016

IJERPH

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Source apportionment of river water pollution is critical in water resource management and aquatic conservation. Comprehensive application of various GIS-based multivariate statistical methods was performed to analyze datasets (2009–2011) on water quality in the Liao River system (China). Cluster analysis (CA) classified the 12 months of the year into three groups (May–October, February–April and November–January) and the 66 sampling sites into three groups (groups A, B and C) based on similarities in water quality characteristics. Discriminant analysis (DA) determined that temperature, dissolved oxygen (DO), pH, chemical oxygen demand (CODMn), 5-day biochemical oxygen demand (BOD5), NH4+–N, total phosphorus (TP) and volatile phenols were significant variables affecting temporal variations, with 81.2% correct assignments. Principal component analysis (PCA) and positive matrix factorization (PMF) identified eight potential pollution factors for each part of the data structure, explaining more than 61% of the total variance. Oxygen-consuming organics from cropland and woodland runoff were the main latent pollution factor for group A. For group B, the main pollutants were oxygen-consuming organics, oil, nutrients and fecal matter. For group C, the evaluated pollutants primarily included oxygen-consuming organics, oil and toxic organics.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Integrated Application of Multivariate Statistical Methods to Source Apportionment of Watercourses in the Liao River Basin, Northeast China

Chen

Fan

et al. 2016

IJERPH

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“…The TIE approach is divided into three phases: characterization into main classes with physical and chemical manipulations (Phase I), identification of the toxicants through analytical techniques and a toxicity evaluation (Phase II), and confirmation of the actual causes of toxicity through collating the corroborating toxicant data (Phase III) 10, 12 . This method has been used successfully for identifying toxicants in both sediment interstitial water and pure sediment 11, 13, 14 .…”

Section: Introductionmentioning

confidence: 99%

“…In China, however, few studies have applied the TIE approach to identify contaminants in sediments 12, 13, 21 . The Haihe River Basin is in one of the most industrialized and urbanized regions in China.…”

Section: Introductionmentioning

confidence: 99%

Using Chironomus dilutus to identify toxicants and evaluate the ecotoxicity of sediments in the Haihe River Basin

Zhu

Shan

Zhang

2017

Sci Rep

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To effectively manage a watershed and successfully restore a river system, it is very important to assess the toxicity of sediments and identify the substances causing the toxicity. Seventy-six sediments collected in the Haihe River Basin (HRB) in China were screened for acute toxicity using Chironomus dilutus. We found that sediments from more than 32% of sampling sites, distributed mainly in the Ziya tributary and along the estuary, were acutely toxic to midges. A toxicity identification evaluation showed that the toxicity of the sediment samples was mainly from ammonia nitrogen, metals, and organics. Calculations of the toxic unit (TU) showed that ammonia and metals contributed more to sediment toxicity than organics, and that PAHs may have contributed in other tributaries. A modified three-step sequential extraction procedure to assess the bioavailability of the metals indicated that the toxicity from metals was mainly from Cd and Zn. This is one of the first studies in which this type of approach has been applied to directly connect contaminants with ecological effects in the HRB.

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“…Phase II measures target toxicants using different analytical techniques, while Phase III confirms, or otherwise, that the suspect toxicants identified in Phases I and II of the TIE procedures are actually causing the observed toxicity. Indeed, TIE procedures have been employed to identify toxic components in water and sediments in water bodies in China (e.g., Ke et al, 2015;Yi et al, 2015). Over and above this, effect-directed analysis procedures are currently being developed to deal with issues arising from mixtures of pollutants in the management of water resources ( .…”

mentioning

confidence: 99%

Environmental threats to the Three Gorges Reservoir Region: Are mutagenic and genotoxic substances important?

Lam

2015

Journal of Environmental Sciences

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Toxicity identification evaluation of sediments in Liaohe River

Cited by 26 publications

References 24 publications

Integrated Application of Multivariate Statistical Methods to Source Apportionment of Watercourses in the Liao River Basin, Northeast China

Integrated Application of Multivariate Statistical Methods to Source Apportionment of Watercourses in the Liao River Basin, Northeast China

Using Chironomus dilutus to identify toxicants and evaluate the ecotoxicity of sediments in the Haihe River Basin

Environmental threats to the Three Gorges Reservoir Region: Are mutagenic and genotoxic substances important?

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