Document Detail


Modeling water and carbon fluxes above summer maize field in North China Plain with back-propagation neural networks.
MedLine Citation:
PMID:  15822158     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In this work, datasets of water and carbon fluxes measured with eddy covariance technique above a summer maize field in the North China Plain were simulated with artificial neural networks (ANNs) to explore the fluxes responses to local environmental variables. The results showed that photosynthetically active radiation (PAR), vapor pressure deficit (VPD), air temperature (T) and leaf area index (LAI) were primary factors regulating both water vapor and carbon dioxide fluxes. Three-layer back-propagation neural networks (BP) could be applied to model fluxes exchange between cropland surface and atmosphere without using detailed physiological information or specific parameters of the plant.
Authors:
Zhong Qin; Gao-Li Su; Qiang Yu; Bing-Min Hu; Jun Li
Related Documents :
17837928 - Atmospheric physics and earth observations: sample performance of the grille spectrometer.
12271688 - Direct synthesis of uniform hollow carbon spheres by a self-assembly template approach.
11381788 - Solubility of polynuclear aromatic hydrocarbons in supercritical carbon dioxide.
21510698 - Solvent evaporation induced liquid crystalline phase in poly(3-hexylthiophene).
23939828 - Crosslinked poly(ethylene oxide) as a versatile alignment medium for the measurement of...
21545528 - Levels of microbial agents in floor dust during remediation of a water-damaged office b...
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of Zhejiang University. Science. B     Volume:  6     ISSN:  1673-1581     ISO Abbreviation:  -     Publication Date:  2005 May 
Date Detail:
Created Date:  2005-04-11     Completed Date:  2005-09-30     Revised Date:  2008-11-20    
Medline Journal Info:
Nlm Unique ID:  101236535     Medline TA:  J Zhejiang Univ Sci B     Country:  China    
Other Details:
Languages:  eng     Pagination:  418-26     Citation Subset:  IM    
Affiliation:
Ecology academy, School of Life Science, Zhejiang University, Hangzhou 310029, China; q_breeze@126.com.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Agriculture
Carbon / metabolism*
Carbon Dioxide / metabolism
China
Models, Biological*
Neural Networks (Computer)*
Seasons*
Volatilization
Water / metabolism*
Zea mays / metabolism*
Chemical
Reg. No./Substance:
124-38-9/Carbon Dioxide; 7440-44-0/Carbon; 7732-18-5/Water

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  A genetic diversity comparison between captive individuals and wild individuals of Elliot's Pheasant...
Next Document:  Biomass and microbial activity in a biofilter during backwashing.