Spatiotemporal Analysis of Municipal Solid Wastes Generation in a University Campus

A. E.  Adeniran; J. O.  Akanmu; L.  Olanrewaju; A. O.  Adelopo; A. T.  Nubi

A. E. Adeniran Department of Civil Engineering, University of Lagos, Nigeria
J. O. Akanmu Department of Civil Engineering, University of Lagos, Nigeria
L. Olanrewaju Yolas Consultants, Lagos, Nigeria
A. O. Adelopo Works and Physical Planning Department, University of Lagos, Nigeria
A. T. Nubi Works and Physical Planning Department, University of Lagos, Nigeria

Keywords: University of Lagos, municipal solid waste, waste characterization, sandcrete block fenced dumpsites, temporal distribution

Abstract

Solid waste generation and characterization is a critical first step towards developing successful and effective planning of waste management strategies and services. In 2012 sandcrete block fenced dumpsites (SBFD) were constructed in the University of Lagos, Nigeria to control indiscriminate dumping of waste and to generate data for sustainable campus waste management strategies, Relevant data for analysis were collected from the dumpsites between 2013 and 2014. In this paper, the Volume to Weight (VtW) conversion factor has been used to estimate
the quantum of wastes (by weight) generated annually. MS Excel 2010 was deployed to statistically evaluate and characterize the municipal waste on sectoral (activity-based) and temporal basis. The temporal distributions for each activity sector were determined on calendar months basis. The estimated average annual total solid waste generated in the University was 13,161.4 tons. The annual sectoral averages were Hostels (2,209 tons (16.78%)), Academic Buildings (2,185.5 tons (16.61%)), Administrative Buildings (1638.4 tons (12.43%)), Commercial Outlets (3,121 tons (23.43%)), Residential Buildings (3,235.5 tons (24.58%)) and Communal areas (774 tons (5.90%)). The results for each activity-based sector were further characterized. The result of the characterization was found to be influenced by the activities of each sector. The temporal distributions also reflected the nature of activities in each sector.

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