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Evaluation of a Depth-Based Multivariate k-Nearest Neighbor Resampling Method with Stormwater Quality Data
Joint Authors
Ouarda, Taha B. M. J.
Lee, Taesam
Chebana, Fateh
Park, Daeryong
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-07
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
A nonparametric simulation model (k-nearest neighbor resampling, KNNR) for water quality analysis involving geographic information is suggested to overcome the drawbacks of parametric models.
Geographic information is, however, not appropriately handled in the KNNR nonparametric model.
In the current study, we introduce a novel statistical notion, called a “depth function,” in the classical KNNR model to appropriately manipulate geographic information in simulating stormwater quality.
An application is presented for a case study of the total suspended solids throughout the entire United States.
The stormwater total suspended solids concentration data indicated that the proposed model significantly improves the simulation performance compared with the existing KNNR model.
American Psychological Association (APA)
Lee, Taesam& Ouarda, Taha B. M. J.& Chebana, Fateh& Park, Daeryong. 2014. Evaluation of a Depth-Based Multivariate k-Nearest Neighbor Resampling Method with Stormwater Quality Data. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-469362
Modern Language Association (MLA)
Lee, Taesam…[et al.]. Evaluation of a Depth-Based Multivariate k-Nearest Neighbor Resampling Method with Stormwater Quality Data. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-469362
American Medical Association (AMA)
Lee, Taesam& Ouarda, Taha B. M. J.& Chebana, Fateh& Park, Daeryong. Evaluation of a Depth-Based Multivariate k-Nearest Neighbor Resampling Method with Stormwater Quality Data. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-469362
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-469362