Abstract:
Waste is part of everyday life besides all of us, but it tends to be less likely that citizen cares about it, at least developing countries lacks focus. Moreover, population is growing very rapidly in cities and shaping size an increase day after day. Inadequate steps towards management and planning further blow up the situation. But there is hope for developing world as technology and data driven approach is omnipresent to all forms of life. In this study landfill data was sorted out using spreadsheet to find pattern and made analytics. Landfill data from Amin Bazar used for the work which contains waste from eighteen wards, ward no 1 to 18, of DNCC. The analytics were generated both ward and month wise from February 2019 to September 2019. A close observation by the authors finds correlation and disparity among ward and seasonal basis. The highest and the least always corelates throughout the given time horizon. But dissimilarity among dry month of March found where several wards oppose the norm. Wards also changes its pattern by different time horizon, for instance, ward no. 7 and 13 changes in volume among months. However, most indifferent ward was 2,8,12 and 15 as all of them look very similar. Numerous factors should consider for tangible outcome of the study. It can help the authority to make informed decision by knowing ward specific waste generation and to design efficient means of waste management.
