Proceedings of the 2016 International Conference on Engineering and Technology Innovations

Risk assessment and prediction of heavy metal pollution in sediment of Biliuhe reservoir

Authors
Jian Zhao, Hongbo Zheng, Wenjia Zhou
Corresponding Author
Jian Zhao
Available Online March 2016.
DOI
https://doi.org/10.2991/iceti-16.2016.42How to use a DOI?
Keywords
Biliuhe reservoir, sediment, heavy metal, ecological risk, risk prediction
Abstract
The Biliuhe reservoir, which is one of the most important water sources in Dalian, is the "source of life" of Dalian. To explore the characteristics of heavy metal pollution in Biliuhe reservoir, the potential ecological risk of these heavy metal elements were evaluated by two methods, i.e. geo-accumulation index and potential ecological risk index, and the risk values of heavy metals in sediment were predicted one year later in the future by grey forecasting model GM (1, 1) and RBF neural network. The comprehensive assessment results showed that the pollution level in the reservoir was slight, Hg was the primary element with higher ecological risk while Cu was secondary. The forecasting results indicated that the predicted risk value of Hg was higher than others. The results were discussed in order to provide the theoretical basis for the management of the reservoir in the future. The models will be used widely in the field of ecological risk assessment of heavy metals in sediment, due to the simplification and maneuverability of them.
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Proceedings
2016 International Conference on Engineering and Technology Innovations
Part of series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-170-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/iceti-16.2016.42How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jian Zhao
AU  - Hongbo Zheng
AU  - Wenjia Zhou
PY  - 2016/03
DA  - 2016/03
TI  - Risk assessment and prediction of heavy metal pollution in sediment of Biliuhe reservoir
BT  - 2016 International Conference on Engineering and Technology Innovations
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceti-16.2016.42
DO  - https://doi.org/10.2991/iceti-16.2016.42
ID  - Zhao2016/03
ER  -