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A diagnosis-prescription system for nitrogen management in environment

  1. Author:
    Zadeh, K. S.
    Montas, H. J.
    Shirmohammadi, A.
    Sadeghzadeh, A.
    Gudla, P. R.

  2. Author Address

    Univ Maryland, Fischell Dept Bioengn, College Pk, MD 20742 USA. NCI, SAIC, Imaging Anal Lab, Frederick, MD 21701 USA. Natl Iranian Oil Co, Tehran, Iran.;Zadeh, KS, Univ Maryland, Fischell Dept Bioengn, College Pk, MD 20742 USA.;kouroush@eng.umd.edu
    1. Year: 2007
    2. Date: Apr
  2. Journal: Journal of Environmental Science and Health Part a-Toxic/Hazardous Substances & Environmental Engineering
    1. 42
    2. 5
    3. Pages: 557-565
  4. Type of Article: Article
  5. ISSN: 1093-4529
  1. Abstract:

    A decision support system in the framework of the geographic information system (GIS) and subsurface flow model, Hydrosub, were used to identify critical areas from simulated spatial distributions of relative nitrogen export. Diagnosis and prescription Expert Systems (ES) are developed and applied to the identification of probable causes of excessive nitrogen export and selection of appropriate Best Management Practices (BMPs). The result is a spatially distributed set of recommended Best Management Practices that are feasible economically and environmentally. For the study watershed, using catch crops and rhizobium-legume (instead of using conventional commercial fertilizers) were the most recommended Best Management Practices.

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External Sources

  1. View Full Text
  2. DOI: 10.1080/10934520701244003
  3. View record in Web of Science®
  4. WOS: 000245715200002

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