Quantitative analysis of spatial pattern of dustbins and its pollution in Dhaka City—a GIS based approach

Type Journal Article - Asian Transactions on Engineering
Title Quantitative analysis of spatial pattern of dustbins and its pollution in Dhaka City—a GIS based approach
Author(s)
Volume 3
Issue 4
Publication (Day/Month/Year) 2013
Page numbers 1-7
URL http://www.asian-transactions.org/Journals/Vol03Issue04/ATE/ATE-30309048.pdf
Abstract
Smart waste management in a city is significantly manifested by the optimal distribution of waste collection points (dustbins). Evidently, inadequate number of dustbins coupled with improper management may trigger pollution to a great extent. Waste collection using insufficient street dustbins is a widely used way of solid waste management in Dhaka city. Yet an uncomforting scenario of air pollution is prevailing in different wards of Dhaka. The reasons can be put forth as inadequate and unequal distribution of municipal dustbins, improper management including waste overflow and the lack of awareness in usage among the people. In this context, an attempt has been made in this paper to obtain a quantitative analysis between existing dustbins and their serving population. This study first analyses the spatial distribution of dustbins in some areas of Dhaka city employing average nearest neighbor functions of GIS. Interestingly, the spatial distribution of the existing dustbins has shown to be predominantly in clustered pattern. Next, an optimal number of additional dustbins were calculated. An additional number of 20 and 8 dustbins are required in areas (wards) # 34
and # 35 in Dhaka city. We also examined the extent of pollution caused by the existing dustbins using spatial analyst functions of GIS. It is found that all the dustbins are burst with wastes and causing pollution to the ground surface and air. The results thus
obtained would help to understand the present scenario of the waste management of Dhaka city and to optimally place the required number of dustbins to prevent further pollution to environment.

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