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Statistical and Visual Comparison of Water Quality Changes Caused by a Large River Restoration Project
- Title
- Statistical and Visual Comparison of Water Quality Changes Caused by a Large River Restoration Project
- Authors
- Lee, Hye Won; Kim, Hyo-Young; Choi, Jung Hyun; Park, Seok Soon
- Ewha Authors
- 박석순; 최정현; 이혜원
- SCOPUS Author ID
- 박석순; 최정현; 이혜원
- Issue Date
- 2019
- Journal Title
- ENVIRONMENTAL ENGINEERING SCIENCE
- ISSN
- 1092-8758
1557-9018
- Citation
- ENVIRONMENTAL ENGINEERING SCIENCE vol. 36, no. 1, pp. 23 - 34
- Keywords
- diagonal pair comparison plot; paired T-test; river restoration; Shapiro-Wilk test; sign-test; water quality statistics
- Publisher
- MARY ANN LIEBERT, INC
- Indexed
- SCIE; SCOPUS
- Document Type
- Article
- Abstract
- This article presents a statistical and visual comparison of water quality changes caused by a large river restoration project. Since water quality data are often shown as a non-normal distribution with high seasonal variations, appropriate statistical methods should be selected according to data characteristics for accurate scientific decision-making. In this study, a normality test was first performed using the Shapiro-Wilk test and two statistical comparison tests were then performed, including the paired T-test and the sign-test. Seasonality was considered by comparing monthly data pairs. In addition, a diagonal pair comparison plot was proposed as a visual comparison method. This plot is a graphic data display, where monthly paired water quality is represented by X-Y coordinates. From this study, it was concluded that the series of statistical and visual methods would be suggested for comparison of non-normally distributed water quality with high seasonal variations.
- DOI
- 10.1089/ees.2018.0150
- Appears in Collections:
- 공과대학 > 환경공학과 > Journal papers
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