TITLE:
Prediction of Sewer Pipe Main Condition Using the Linear Regression Approach
AUTHORS:
Ali Gedam, Suraj Mangulkar, Bal Gandhi
KEYWORDS:
Sewer Pipe Main, Rehabilitation, Regression, Condition Prediction, Deterioration
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.4 No.5,
May
19,
2016
ABSTRACT: This
research presents the condition prediction of sewer pipes using a linear regression
approach. The analysis is based on data obtained via Closed Circuit Television
(CCTV) inspection over a sewer system. Information such as pipe material and
pipe age is collected. The regression approach is developed to evaluate factors
which are important and predict the condition using available information. The
analysis reveals that the method can be successfully used to predict pipe
condition. The specific model obtained can be used to assess the pipes for the
given sewer system. For other sewer systems, the method can be directly applied
to predict the condition. The results from this research are able to assist
municipalities to forecast the condition of sewer pipe mains in an effort to
schedule inspection, allocate budget and make decisions.