## 4 Results and Discussions  
### Estimation of MSW Generation  
Fifty households of different types were surveyed to get an insight into the MSW generation scenario throughout RCC. Some households and some large residences of students were taken into consideration. The collected data are illustrated in Table 5. It is clearly observed that MSW generation varies with different parameters, like food habits, monthly income, educational level, etc. The total number of people within the 50 households was 772 and the total waste generated by them was 325.321 kg. Therefore, the average waste production was calculated as 0.4214 kg/person/d. Similar results have been observed in previous studies [7; 9]. According to the Rajshahi City Corporation authority, the population of the city is approximately 0.85 million [22]. Therefore, the approximate total waste generation in RCC is calculated as 358.19 t/d, which is approximately equal to the data presented by earlier studies [7; 9]. The total estimated waste generation per day as well as per person is similar to the results obtained from the previous studies. [PERSON] et al. estimated that the per capita MSW generation per day is 0.40 kg in RCC, equal to 340 t/d MSW, which is quite similar to the obtained results [9]. [PERSON] et al. also estimated that 341 t of MSW was generated daily in RCC in 2012 [7]. As the population of the city corporation is increasing day by day, the total MSW generated per day would be slightly higher than these results. In this work, per capita waste generation has been found to be almost similar to the previous studies but the total generated MSW per day was slightly higher because of the increased population in RCC. Therefore, it can be said that the selected families represent approximately all types of households in RCC. Figure 7 shows the education level of each of the interviewees as a percentage of the total interviewed people. From the figure, it can be observed that 30% of the interviewees completed higher secondary education. It can also be observed that 2% of the total interviewees did not even go to school. The waste generation rate with respect to educational level is plotted in Figure 8. It can be observed that junior school-educated interviewee households contributed the highest per capita waste generation. Households of interviewees who never went to school contribute the least to MSW generation. Surprisingly, households of interviewees who went to school contribute more waste generation than the households of those who did not go to school. MSW generation rates of semi-pucca (semi-concrete) and pucca (concrete) houses have been found to be 0.48 kg/person/d and 0.412 kg/person/d, respectively. Based on property ownership, rented houses contribute waste at a rate of 0.568 kg/person/d and owned houses contribute 0.410 kg/person/d. Monthly fees paid by all the households are compared in Figure 9. It is observed that 38% of the people pay BDT 30 monthly. Surprisingly, 24% of people do not even pay for waste management. Therefore, social awareness is mandatory in this case.  
Figure 6: Experimental apparatus for elemental analysis of MSW (Vario Micro Cube, Elementar).  
Figure 8: Waste generation rate with respect to educational status.  
Figure 7: Educational status of interviewees as a percentage of total interviewed people.  
Figure 9: Comparison of monthly fees paid by the households.