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Mukherjee, A., Johnson, D., Jin, Y. and Kieckhafer, R. (2009) Using Situational Simulations to Support Decision Making in Co-Dependent Infrastructure Systems. International Journal of Critical Infrastructures, 6, 52-72.
http://dx.doi.org/10.1504/IJCIS.2010.029576

has been cited by the following article:

  • TITLE: Arrival Analysis of Dry Weather Sanitary Sewer Overflows

    AUTHORS: Kenneth Tuffour, Chris Samba

    KEYWORDS: Poisson Process, Weibull Distribution, Sanitary Sewer Overflow, Shapeparameter

    JOURNAL NAME: Open Journal of Civil Engineering, Vol.6 No.3, June 9, 2016

    ABSTRACT: 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.