Author(s)

Kenneth Tuffour, Chris Samba

Facility Solution Technology, Inc., BaKau, Gambia.

This study investigates arrivals of sanitary sewer overflows collected from a municipality. The data set consists of recorded overflows from 2011 to 2014 during dry weather. Reliability analysis is conducted upon each data set. The Weibull distribution is adopted to evaluate the data sets. The results show that the arrival of dry weather SSOs cannot be simply modeled with a Poisson process that is featured with a constant arrival rate. For annual data set, 2-parameter Weibull generally has an acceptable fitting (except 2014 data). The shape parameters are close to 1 or a little greater than 1, indicating relatively constant arrival rate or slightly increased rate. For the entire data set, the 3-parameter Weibull distribution is able to fit the data well. The shape parameter is also greater than 1. Therefore, an increased SSO arrival rate is noticed for this data set. There are needs to make more efforts in maintaining the sewer system.

Poisson Process, Weibull Distribution, Sanitary Sewer Overflow, Shapeparameter

Tuffour, K. and Samba, C. (2016) Arrival Analysis of Dry Weather Sanitary Sewer Overflows. Open Journal of Civil Engineering, 6, 462-468. doi: 10.4236/ojce.2016.63038.