DocumentCode :
2009698
Title :
Notice of Retraction
Model and application of the pollutant concentration in agricultural drainage
Author :
Li Qiang-kun ; Sun Juan ; Li Huai-en
Author_Institution :
Irrigation Res. Center, Yellow River Inst. of Hydraulic Res., Xinxiang, China
Volume :
4
fYear :
2010
fDate :
17-18 July 2010
Firstpage :
9
Lastpage :
12
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Estimation of pollutant concentration in agricultural drainage is the key point of quantitative research on agricultural non-point source pollution load. Synthesis of fertilization and irrigation is used as an impulse input to the farmland, meanwhile, the pollutant concentration in agricultural drainage is looked as the response process corresponding to the impulse input,the migration and transformation of pollutant in soil is expressed impliedly by Inverse Gaussian Probability Density Function, the law of pollutants migration and transformation in soil at crop different growth periods is reflected by adjusting parameters of Inverse Gaussian Distribution. Based on above, the estimation model for pollutant concentration in agricultural drainage at field scale was constructed. Taking the typical experimentation area of Qing Tong Xia Irrigation District at the Yellow River upstream as an example, the concentration of nitrate nitrogen and total phosphorus in paddy field drainage was simulated by this model. The results show that the simulated results accorded with measured data approximately and Nash-Suttcliffe coefficients was 0.972 and 0.964 respectively, get a good simulation effect.
Keywords :
Gaussian distribution; agricultural pollution; fertilisers; irrigation; probability; soil pollution; Nash-Suttcliffe coefficients; agricultural drainage; agricultural nonpoint source pollution; farmland; fertilization; inverse Gaussian distribution; inverse gaussian probability density function; irrigation; pollutant concentration; pollutants migration; soil pollutant; Agricultural drainage; Agricultural non-point source pollution; Mathematical model; Pollutant concentration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7387-8
Type :
conf
DOI :
10.1109/ESIAT.2010.5568404
Filename :
5568404
Link To Document :
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