Statistical and Visual Comparison of Water Quality Changes Caused by a Large River Restoration Project
- 주제(키워드) diagonal pair comparison plot , paired T-test , river restoration , Shapiro-Wilk test , sign-test , water quality statistics
- 주제(기타) Engineering, Environmental
- 주제(기타) Environmental Sciences
- 설명문(일반) [Lee, Hye Won; Kim, Hyo-Young; Choi, Jung Hyun; Park, Seok Soon] Ewha Womans Univ, Dept Environm Sci & Engn, Coll Engn, 52 Ewhayeodae Gil, Seoul 03760, South Korea
- 등재 SCIE, SCOPUS
- 발행기관 MARY ANN LIEBERT, INC
- 발행년도 2019
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000171884
- 본문언어 영어
- Published As https://dx.doi.org/10.1089/ees.2018.0150
초록/요약
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.
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