Forecasting of Ecological Risk of Heavy Metal Contamination to the Tidal Flat of Yalu River Estuary by Using Markov Chain Grey Model

Forecasting of Ecological Risk of Heavy Metal Contamination to the Tidal Flat of Yalu River Estuary by Using Markov Chain Grey Model

From January 2012 to April 2013, the heavy metal contents of Venerupis variegata which was used as bio-indicator were determined by using incomplete digestion - AAS method. The correlation of the heavy metals between the surface sediments and the Venerupis variegata was analyzed by using Pearson met...

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Veröffentlicht in:Applied Mechanics and Materials 2014-02, Vol.522-524 (Environmental Protection and Sustainable Development), p.106-110
Hauptverfasser: Chen, Yu Long, Meng, Zhao Rong, Du, Chun Lin, Li, Li
Format: Artikel
Sprache:eng
Schlagworte:
Atomic absorption analysis
Ecology
Estuarine environments
Heavy metals
Mathematical models
Risk
Rivers
Spectroscopy
Venerupis
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Zusammenfassung:From January 2012 to April 2013, the heavy metal contents of Venerupis variegata which was used as bio-indicator were determined by using incomplete digestion - AAS method. The correlation of the heavy metals between the surface sediments and the Venerupis variegata was analyzed by using Pearson method and Markov chain model. The potential ecological risk of heavy metal pollution was evaluated in the Yalu River estuary. The results showed that the recovery rate was from 94.3 to 107.2%, RSD
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.522-524.106