상관성 분석을 통한 침입수 발생 영향인자 분석Analysis on affecting factors of infiltration using correlations
- Authors
- 유재나; 오재일; 최익훈
- Issue Date
- 2011
- Publisher
- 대한상하수도학회
- Keywords
- 하수관거; 유량 모니터링; 침입수; 침입율; 상관성 분석; sewer; flow monitoring; infiltration; infiltration rate; correlation analysis
- Citation
- 상하수도학회지, v.25, no.2, pp 185 - 192
- Pages
- 8
- Journal Title
- 상하수도학회지
- Volume
- 25
- Number
- 2
- Start Page
- 185
- End Page
- 192
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/33993
- ISSN
- 1225-7672
2287-822X
- Abstract
- Pearson's correlation was used to determine relations between infiltration and affecting factors using flow monitoring data measured in 24 areas with different characteristics. Factors showed relatively high correlations than others were indexed to determine infiltration rates of the study area.
Among 8 factors(service area, sewer length, sewer diameter, multiplier of sewer length and diameter, number of manholes, population, number of properties, number of households) tested, the multiplier of sewer length and diameter, the number of population and the number of household in each service area indicated higher correlation coefficient(>0.8) than others. The goodness of fitness of linear regressions between infiltration and the factors followed the order: sewer length and diameter(0.68)> population(0.65)> number of household(0.60).
Infiltration rates calculated by the multiplier of sewer length and diameter, the number of population and the number of household in each service area were 0.046∼1.0396 m3/d·mm-km, 0.0917∼1.7355 m3/capita·d, 0.196∼4.529 m3/household·d respectively. After sewerage rehabilitation work of the area, the infiltration rates calculated by above factors with high correlations are expected to be used for comparing effectiveness of the work once they are estimated under the same flow measuring conditions.
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