Modular neural networks to predict the nitrate distribution in ground water using the on-ground nitrogen loading and recharge data

Environmental Modelling and Software

Volumn 20, Issue 7, 2005, Pages 851-871

  Almasri, Mohammad N ^a,b   Kaluarachchi, Jagath J ^a  

^a Utah State University   (United States)

^b AN NAJAH NATIONAL UNIVERSITY   (Palestine)

Author keywords

Agriculture; Artificial neural network; Contamination; GIS; Ground water; Land use; Modular neural network; Nitrate; Nitrogen

Indexed keywords

AQUIFERS; COMPUTER SIMULATION; GEOGRAPHIC INFORMATION SYSTEMS; GROUNDWATER; HYDROLOGY; NEURAL NETWORKS; NITRATES; SOILS;

MODULAR NEURAL NETWORKS (MNN); NITRATE DISTRIBUTION; SOIL NITROGEN DYNAMICS; SUBSURFACE MODELING;

WATER POLLUTION;

ARTIFICIAL NEURAL NETWORK; GIS; GROUNDWATER; NITRATE; NITROGEN; RECHARGE;

EID: 15944366613     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2004.05.001     Document Type: Article

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