Distribution and Contamination Assessment of Heavy Metals in Water and Soils from the College Town in the Pearl River Delta, China

Xiao, Rong; Bai, Junhong; Gao, Haifeng; Wang, Junjing; Huang, Laibin; Li, Peipei

doi:10.1002/clen.201200016

Cited by 50 publications

(21 citation statements)

References 21 publications

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“…The contamination of water resources by heavy metals is highly relevant due to the fact that they dissolve within this matrix and immediately become available to the living beings in the ecosystem. The intake of contaminated water by humans and animals affects the entire food chain [2]. Further, since drinkable water is becoming scarcer, concern on the contamination of water resources with heavy metals is a highly serious affair.…”

Section: Introductionmentioning

confidence: 99%

Adsorption of Cu (II) and Zn (II) from Water by Jatropha curcas L. as Biosorbent

et al. 2016

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Abstract:The objective of this work was to evaluate the removal of Cu 2+ and Zn 2+ in water by means of the adsorption process using three biosorbents derived from jatropha biomass (bark, endosperm and endosperm + seed coat). The experiments were performed in batch and evaluated the effect of solution pH, adsorbent mass, contact time, different initial concentrations of the metals Cu 2+ and Zn 2+, and the temperature of the solution during the adsorptive process. By kinetics, the adsorption isotherms and thermodynamics the mechanisms that control the adsorptive process were evaluated. The optimal conditions for the realization of the adsorptive process for both metals were: solution pH of 5.0 and 8 g L -1 of adsorbent mass per volume of solution, with a contact time between adsorbent and adsorbate of 60 min. According to the Langmuir model, the maximum adsorption capacities for the bark, endosperm and endosperm + seed coat of Jatropha were, respectively, for Cu 2+ 11.541, 20.475 and 22.910

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Section: Introductionmentioning

confidence: 99%

Adsorption of Cu (II) and Zn (II) from Water by Jatropha curcas L. as Biosorbent

et al. 2016

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“…Therefore, water quality models become an important tool to identify water environmental pollution and the final fate and behaviors of pollutants in water environment [3]. These construction projects such as petrochemical, hydrological, and paper-making projects can bring serious effects on aquatic environment after enforcement [4, 5]. Therefore, these environmental effects have to be simulated, predicted, and assessed using numerical models before these construction projects are implemented.…”

Section: Signature Of Water Quality Modelsmentioning

confidence: 99%

A Review of Surface Water Quality Models

Wang

Jia

et al. 2013

The Scientific World Journal

128

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Surface water quality models can be useful tools to simulate and predict the levels, distributions, and risks of chemical pollutants in a given water body. The modeling results from these models under different pollution scenarios are very important components of environmental impact assessment and can provide a basis and technique support for environmental management agencies to make right decisions. Whether the model results are right or not can impact the reasonability and scientificity of the authorized construct projects and the availability of pollution control measures. We reviewed the development of surface water quality models at three stages and analyzed the suitability, precisions, and methods among different models. Standardization of water quality models can help environmental management agencies guarantee the consistency in application of water quality models for regulatory purposes. We concluded the status of standardization of these models in developed countries and put forward available measures for the standardization of these surface water quality models, especially in developing countries.

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“…However, excessive amounts of heavy metals enter the coastal environment via anthropogenic industrial activities, mining activities, agriculture (run-off), and sewage disposal [33,34], are considered toxic and restrain the growth and propagation of macrobenthic organisms [35][36][37]. Rygg has found negative correlations between species diversity in macrobenthic community and copper concentrations and organic matter [38].…”

Section: Influence Of Physical and Chemical Characteristics Of Sedimentsmentioning

confidence: 99%

Status of Macrobenthic Community and Its Relationships to Trace Metals and Natural Sediment Characteristics

Zhang

Guan

et al. 2013

CLEAN Soil Air Water

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Laizhou Bay, located in the northwest of Shandong Peninsula, has complex transitional environments between terrestrial and marine ecosystems. In the present study, a total of 122, 131, and 139 species were collected in spring, summer, and autumn 2011, respectively. Species constitutions of macrobenthos were grouped into four phyla, of which annelida were the most abundant phylum, the average biomass proportion of echinodermata was the lowest, and the proportion of important species for mollusca was the highest. The structure of the macrobenthic community showed significant differences between sites, and greater divergence was observed between the third site (S03) and other stations. The ABC plots showed that the biomass curve lay below the abundance curve, and the W-statistic value was negative. The result of the BOPA index showed that two stations had moderate ecological status in spring and that there were two heavily polluted sites and one moderately polluted site in summer. The BIO-ENV analyses indicated that the grain-size fractions together with trace metals (Hg, Pb, Zn, Cu, and Cr) could be considered as the major environmental variables influencing the macrobenthic patterns. The results together demonstrated that the macrobenthic communities in Laizhou Bay were negatively affected, perhaps by the tremendous impact of heavy metals in the sediments.

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Distribution and Contamination Assessment of Heavy Metals in Water and Soils from the College Town in the Pearl River Delta, China

Cited by 50 publications

References 21 publications

Adsorption of Cu (II) and Zn (II) from Water by Jatropha curcas L. as Biosorbent

Adsorption of Cu (II) and Zn (II) from Water by Jatropha curcas L. as Biosorbent

A Review of Surface Water Quality Models

Status of Macrobenthic Community and Its Relationships to Trace Metals and Natural Sediment Characteristics

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