Designing a dynamic data driven application system for estimating real-time load of dissolved organic carbon in a river

  • Authors: Ouyang, Ying.
  • Publication Year: 2012
  • Publication Series: Scientific Journal (JRNL)
  • Source: Water, Air, & Soil Pollution 223:5289–5296


Understanding the dynamics of naturally occurring dissolved organic carbon (DOC) in a river is central to estimating surface water quality, aquatic carbon cycling, and global climate change. Currently, determination of the DOC in surface water is primarily accomplished by manually collecting samples for laboratory analysis, which requires at least 24 h. In other words, no effort has been devoted to monitoring real-time variations of DOC in a river due to the lack of suitable and/or cost-effective wireless sensors. However, when considering human health, carbon footprints, effects of urbanization, industry, and agriculture on water supply, timely DOC information may be critical. We have developed here a new paradigm of a dynamic data-driven application system (DDDAS) for estimating the real-time load of DOC into a river. This DDDAS was validated with field measurements prior to its applications. Results show that the real-time load of DOC in the river varied over a range from -13,143 to 29,248 kg/h at the selected site, The negative loads occurred because of the back flow in the estuarine reach of the river.The cumulative load of DOC in the river for the selected site at the end of the simulation (178 h) was about 1.2 tons. Our results support the utility of the DDDAS developed in this study for estimating the real-time variaiton of DOC in a river ecosystem.

  • Citation: Ouyang, Ying. 2012. Designing a dynamic data driven application system for estimating real-time load of dissolved organic carbon in a river. Water, Air, & Soil Pollution 223:5289–5296.
  • Keywords: DDDAS, DOC, Real-time, River, Water quality
  • Posted Date: June 6, 2013
  • Modified Date: November 5, 2013
  • Print Publications Are No Longer Available

    In an ongoing effort to be fiscally responsible, the Southern Research Station (SRS) will no longer produce and distribute hard copies of our publications. Many SRS publications are available at cost via the Government Printing Office (GPO). Electronic versions of publications may be downloaded, printed, and distributed.

    Publication Notes

    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
    • Our online publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact the SRS webmaster if you notice any errors which make this publication unusable.
    • To view this article, download the latest version of Adobe Acrobat Reader.