NDLI: Using Pattern Recognition Technique for Non-Uniform Field Sampling of Agricultural Nonpoint Source Pollution

Content Provider	IEEE Xplore Digital Library
Author	Dan Li Zhenchun Hao Lianqing Xue
Copyright Year	2008
Description	Author affiliation: State Key Lab. of Hydrol.-Water Resources & Hydraulic Eng., Hohai Univ., Nanjing (Dan Li; Zhenchun Hao; Lianqing Xue)
Abstract	As the variability of agricultural nonpoint source pollution in its distribution and generation processes, a field experiment on nitrate and phosphorus was carried out in the experimental base. Following the analysis of corresponding characteristics of the sampling measurements, a new method for non-uniform field sampling based on pattern recognition technique was presented, which could effectively avoid wasting resources and producing redundant information. In this method, pattern recognition technique was used to find out the variable boundary in the interesting region. After that a non-uniform sampling strategy was confirmed for the local regions with different variability. The results showed that this method could provide a more accurate dataset, whilst minimizing the sampling cost and simplifying the collecting procedure.
Starting Page	291
Ending Page	295
File Size	474214
Page Count	5
File Format	PDF
ISBN	9780769533049
DOI	10.1109/ICNC.2008.187
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Environmentally friendly manufacturing techniques agricultural nonpoint source pollution field experiment Pattern recognition Rivers Industrial pollution Soil measurements non-uniform sampling Lakes Sampling methods Particle measurements Water pollution Pollution measurement pattern recognition
Content Type	Text
Resource Type	Article

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