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One-way ANOVA test of five digital filter recursive graphic methods in baseflow separation on Wae Tomu Watershed Ambon City.
- Source :
-
AIP Conference Proceedings . 2023, Vol. 2588 Issue 1, p1-11. 11p. - Publication Year :
- 2023
-
Abstract
- Recursive digital hydrographic is an automatic and recommended method of separating baseflow to obtain reproducible results. Digital filters help assess the contribution of water to the total flow of a river, while measuring the flow of the riverbed requires sensitive and accurate flow separation techniques. Therefore, this study aims to analyze the analysis of one-way ANOVA digital filter methods for the hydrological characteristics of the small island watershed of Ambon City, including RDF one parameter algorithm, two-parameter algorithm, RDF Lyne & Holick, RDF Chapman, and RDF Eckhard. The one-factor Fingerprint Analysis (ANOVA) results for the five RDF methods of baseflow separation showed that the distribution of baseflow data was generally with a Shapiro-Wilk coefficient greater than α 0.05 and homogeneity with a Levene coefficient of 0.560 greater>α 0.05. The baseflow separation of the five RDF methods has a significant difference with a significance value of 0.001<α 0.05, and the highest average base flow value of the five RDF methods in a row is the Two-parameter algorithm method, followed by the One-parameter algorithm, Eckhardt algorithm, Lyne &Hollick algorithm, and Chapman algorithm. In conjunction with the Turkish test, this calculation showed that the flow separation for the four RDF methods, Lyne &Hollick algorithm, Eckhardt algorithm, One-parameter algorithm, and two-parameter algorithm, have significant similarities and differ significantly from the RDF-Chapman method. These results are strongly influenced by the hydrological characteristics of small island watersheds with limited rain catchment areas and are vulnerable to global environmental changes. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2588
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 161484458
- Full Text :
- https://doi.org/10.1063/5.0111720