• DocumentCode
    1772757
  • Title

    Demo Abstract: Wind measurements for water quality studies in urban reservoirs

  • Author

    Wan Du ; Mo Li ; Zikun Xing ; Bingsheng He ; Chua, L.H.C. ; Zhenjiang Li ; Yuanqiang Zheng ; Pengfei Zhou

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2014
  • fDate
    June 30 2014-July 3 2014
  • Firstpage
    161
  • Lastpage
    163
  • Abstract
    Water quality monitoring and prediction are critical for ensuring the sustainability of water resources which are essential for social security, especially for countries with limited land like Singapore. For example, the Singapore government identified water as a new growth sector and committed in 2006 to invest S$ 330 million over the following five years for water research and development [1]. To investigate the water quality evolution numerically, some key water quality parameters at several discrete locations in the reservoir (e.g., dissolved oxygen, chlorophyll, and temperature) and some environmental parameters (e.g., the wind distribution above water surface, air temperature and precipitation) are used as inputs to a three-dimensional hydrodynamics-ecological model, Estuary Lake and Coastal Ocean Model - Computational Aquatic Ecosystem Dynamics Model (ELCOM-CAEDYM) [2]. Based on the calculation in the model, we can obtain the distribution of water quality in the whole reservoir. We can also study the effect of different environmental parameters on the water quality evolution, and finally predict the water quality of the reservoir with a time step of 30 seconds. In this demo, we introduce our data collection system which enables water quality studies with real-time sensor data.
  • Keywords
    atmospheric precipitation; atmospheric temperature; ecology; hydrodynamics; numerical analysis; research and development; reservoirs; water quality; wind; 3D hydrodynamics-ecological model; ELCOM-CAEDYM; Estuary Lake and Coastal Ocean Model-Computational Aquatic Ecosystem Dynamics Model; Singapore government; air temperature; chlorophyll; data collection system; dissolved oxygen; environmental parameters; growth sector; precipitation; real-time sensor data; social security; urban reservoirs; water quality distribution; water quality evolution; water quality monitoring; water quality parameters; water quality prediction; water research and development; water resources; water surface; wind distribution; wind measurements; Computational modeling; Data collection; Ocean temperature; Reservoirs; Sea measurements; Sea surface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensing, Communication, and Networking (SECON), 2014 Eleventh Annual IEEE International Conference on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/SAHCN.2014.6990343
  • Filename
    6990343