A diagnosis-prescription system for nitrogen management in environment.
Identifieur interne : 000362 ( PubMed/Curation ); précédent : 000361; suivant : 000363A diagnosis-prescription system for nitrogen management in environment.
Auteurs : Kouroush Sadegh Zadeh [États-Unis] ; Hubert J. Montas ; Adel Shirmohammadi ; Ali Sadeghzadeh ; Prabhakar R. GudlaSource :
- Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering [ 1093-4529 ] ; 2007.
English descriptors
- KwdEn :
- Agriculture (methods), Benchmarking, Crops, Agricultural, Environmental Monitoring, Fertilizers (analysis), Geographic Information Systems, Geography, Maryland, Nitrogen (analysis), Rhizobium leguminosarum (chemistry), Water Pollutants, Chemical (analysis), Water Pollution (prevention & control), Water Supply.
- MESH :
- chemical , analysis : Fertilizers, Nitrogen, Water Pollutants, Chemical.
- geographic : Maryland.
- chemistry : Rhizobium leguminosarum.
- methods : Agriculture.
- prevention & control : Water Pollution.
- Benchmarking, Crops, Agricultural, Environmental Monitoring, Geographic Information Systems, Geography, Water Supply.
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.
DOI: 10.1080/10934520701244003
PubMed: 17454363
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pubmed:17454363Le document en format XML
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<front><div type="abstract" xml:lang="en">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.</div>
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