Skip to main content
SpringerLink
Log in

Biological early warning and emergency management support system for water pollution accident

  • Published:
Transactions of Tianjin University Aims and scope Submit manuscript

Abstract

Water pollution accidents such as chemical spill and toxicants leach have become a serious issue in the world, which brings great threats to the aquatic ecosystem and drinking water safety. To detect unknown pollutions in time and take proper emergency actions, this study developed a system which integrated an online intelligent water quality monitoring device with a high efficient water quality model. The device is based on water quality probes and biological sensors which use fish motion as indicator. The numerical model is a combination of Euler and Lagrangian approaches. Finite element method is applied to simulate the flow field in an unstructured grid, and the pollutant behaviours are traced through particle tracking. Oracle is used to manage the basic and monitoring data, and ArcSDE as well as ArcIMS technologies are applied to make the system WebGIS-based so as to improve the data receiving and dispatching efficiency. The developed system has been successfully operated in Douhe Reservoir and Taihu Lake, China, where drinking water intakes are installed. It is seen from the applications that the online intelligent water quality monitoring and emergency support system can be of great support to emergency management.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Ren Zongming, Zha Jinmiao, Ma Mei et al. The early warning of aquatic organophosphorus pesticide contamination by on-line monitoring behavioral changes of Daphnia magna[J]. Environ Monitor Ass, 2007, 134(1–3): 373–383.

    Article  Google Scholar 

  2. Ren Zongming, Li Zhiliang, Ma Mei et al. Behavioral responses of Daphnia magna to stresses of chemicals with different toxic characteristics[J]. Bull Environ Contam Toxi, 2009, 82(3): 310–316.

    Article  Google Scholar 

  3. Ren Zongming, Wang Zijian. Differences in the behavior characteristics between Daphnia magna and Japanese madaka in an on-line biomonitoring system[J]. Journal of Environmental Sciences, 2010, 22(5): 703–708.

    Article  MathSciNet  Google Scholar 

  4. Huang Guoxian, Zhou Jianjun, Xia Junqiang. The full three-dimensional numerical simulation of flow and suspended load transport of the Yellow River (from Hua Yuankou to Xinzhai)[C]. In: The 2nd International Yellow River Forum. Zhengzhou, China, 2005. 1403–1410

  5. Huang Guoxian, Chen Gang, Chen Qiuwen et al. The numerical modelling of the pollution accident in rivers[C]. In: The 9th International Conference on Hydroinformatics. Tianjin, China, 2010. 2401–2408.

Download references

Author information

Authors and Affiliations

  1. Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China

    Qiuwen Chen  (陈求稳), Jinfeng Ma  (马金锋), Zijian Wang  (王子健) & Guoxian Huang  (黄国鲜)

  2. China Three Gorges University, Yichang, 430053, China

    Qiuwen Chen  (陈求稳)

Authors
  1. Qiuwen Chen  (陈求稳)
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jinfeng Ma  (马金锋)
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zijian Wang  (王子健)
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Guoxian Huang  (黄国鲜)
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Qiuwen Chen  (陈求稳).

Additional information

Supported by National High-Tech R&D Program of China (“863” Program, No. 2009AA06A418). CHEN Qiuwen, born in 1974, male, Dr, research professor.

CHEN Qiuwen, born in 1974, male, Dr, research professor.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, Q., Ma, J., Wang, Z. et al. Biological early warning and emergency management support system for water pollution accident. Trans. Tianjin Univ. 18, 201–205 (2012). https://doi.org/10.1007/s12209-012-1662-4

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12209-012-1662-4

Keywords

Search

Navigation