Selection of relevant input variables in storm water quality modeling by multiobjective evolutionary polynomial regression paradigm-Reference-Cited by-同舟云学术

Selection of relevant input variables in storm water quality modeling by multiobjective evolutionary polynomial regression paradigm

Published:2016-04 Issue:4 Volume:52 Page:2403-2419
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Creaco E.¹²,Berardi L.³,Sun Siao⁴,Giustolisi O.³,Savic D.⁵

Affiliation:

1. Department of Civil Engineering and Architecture; University of Pavia; Pavia Italy

2. Formerly at College of Engineering, Mathematics and Physical Sciences, University of Exeter; Exeter UK

3. Department of Civil Engineering and Architecture; Technical University of Bari; Bari Italy

4. Key Laboratory of Regional Sustainable Development Modeling; Institute of Geographical Sciences and Natural Resource Research, Chinese Academy of Sciences; Beijing People's Republic of China

5. College of Engineering, Mathematics and Physical Sciences; University of Exeter; Exeter UK

Funder

Greater Lyon and the Rhône-Méditerranée & Corse Water Agency

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015WR017971/fullpdf

Reference36 articles.

1. Review of stormwater quality, quantity and treatment methods. Part 1: Stormwater quantity modeling;Aryal;Environ. Eng. Res.,2009

2. Implementation of a monitoring system to measure impact of stormwater runoff infiltration;Barraud;Water Sci. Technol.,2002

3. Sources of pollutants in Wisconsin stormwater;Bannerman;Water Sci. Technol.,1993

4. Berardi , L. Z. Kapelan 2007 Proceedings of World Environmental and Water Resources Congress 2007 10.1061/40927(243)162

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