Development of Predictive Models for “Very Poor” Beach Water Quality Gradings Using Class-Imbalance Learning-Reference-Cited by-同舟云学术

Development of Predictive Models for “Very Poor” Beach Water Quality Gradings Using Class-Imbalance Learning

Published:2021-10-11 Issue:21 Volume:55 Page:14990-15000
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Guo Jiuhao¹^ORCID,Lee Joseph H. W.²³

Affiliation:

1. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China

2. Macao Environmental Research Institute, Macau University of Science and Technology, Taipa, Macao, China

3. Institute for Advanced Study, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China

Funder

Research Grants Council, University Grants Committee

Innovation and Technology Commission

Hong Kong Jockey Club Charities Trust

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.1c03350

Reference27 articles.

1. Decadal and Shorter Period Variability of Surf Zone Water Quality at Huntington Beach, California

2. Lee, J. H. W.; Choi, K. W.; Thoe, W.; Wong, S. H. C. Identification of Critical Factors Affecting the Bacteriological Water Quality of Hong Kong Beaches. Technical report prepared for Hong Kong Environmental Protection Department, 2008.

3. USEPA Recreational Water; Quality Criteria. US Environmental Protection Agency, 2012.

4. EPD 20 Years of Beach Water Quality Monitoring in Hong Kong, 1986-2005, 2006.

5. Health effects of beach water pollution in Hong Kong

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