Cloud-Based Scheme for Household Garbage Collection in Urban Areas

Author(s):  
Y. Bevish Jinila ◽  
Md. Shahzad Alam ◽  
Prabhu Dayal Singh
Toxics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 309
Author(s):  
Zhaojun Wang ◽  
Yangjie Zhang ◽  
Lei Wang ◽  
Xu Li ◽  
Xuhang Zhou ◽  
...  

The mercury that is released from the centralized treatment of municipal solid waste is an important source of atmospheric mercury. We chose the main urban area of Changchun as a representative area. Environmental factors such as total mercury content, temperature, wind speed, and other factors were measured in samples from the trash cans of two types of collection points (trash cans and garbage stations), the topsoil under the selected trash cans, and the ambient air above the selected trash cans. The potential ecological risks of mercury pollution were evaluated. The results showed that the mercury content levels of all sample types in the refuse transfer station were higher than the garbage cans and there were no significant differences observed between soil surface mercury and garbage cans. The mercury content levels in the atmosphere and the surface soil at the garbage collection points were found to increase along the cascade relationship of the garbage collection. However, there were no correlations observed between the atmospheric mercury content levels and the surface soil mercury content levels with the attachments and the sum of the former two. There were no correlations observed between surface soil and the attachments, or among the attachments, surface soil, and the atmospheric mercury content levels. The mercury content levels in the attachments, surface soil, and atmosphere of the garbage collection points in the study area were negatively correlated with the loop lines. Meanwhile, the potential ecological risk indexes of the garbage cans and garbage stations were found to be high. The chronic non-carcinogenic risks of mercury to children and adults were determined to be very low. The risks of mercury to children were higher when compared with adults. The highest non-carcinogenic risks of mercury pollution were determined to be within the central area of Changchun.


2016 ◽  
Vol 48 (1) ◽  
pp. 28 ◽  
Author(s):  
Digambar Abaji Chimankar

The present paper attempted to study the urbanization in India and condition of urban slums in terms of water, sanitation, electricity, garbage collection and health care, and education which are supposed to be basic minimum needs for the slum dwellers. India is going through the process of rapid urbanization because of industrialization like other third world countries.  The percent of urbanization increase from 27.8 percent in 2001 to 31.1 percent in 2011 census. The increase in the percentage of population in urban areas is because of natural growth, rural to urban migration and the reclassification of village and towns. The share of the slum population in the total urban population of the country was 18.3 percent in 2001 while in 2011 it was 17.4 percent. The condition of urban slums in India is to be improved so as to make them better for living.


The objective of this proposed system is to stay clean and to cover all urban areas of Indian cities. In existing waste collection systems, there is no proper planning for waste collection due to certain problems that make the city unsanitary. The work which consists in cleaning the trash cans is not responsible and which aggravates the system in the event of emergency, an appropriate monitoring is compulsory to keep the city clean and green. Only the manual waste collection system is available. There are no automatic or technological systems. This proposed system is designed for efficient waste collection using the Internet of Things. The system uses a cloud-based monitoring system for monitoring waste. With the use of a cloud-based system, there is no need to regularly check the bins. The proposed model has dustbins contain Arduino based sensing and monitoring system which gives the information about the levels of filling of dustbins and locations. Whenever any dustbin is filled up, a message is sent to the concerned central station where regularly monitoring the levels and positions of dustbins is to be done. This station monitors all the dustbin levels and gives the directions of collecting the garbage by sending message to the garbage collectors and authority. This will avoid overflow of waste in the bin. A prototype of proposed system to be designed as per the consideration of all problems in garbage collection process and by this the proposal makes the city towards a smart city. That fulfils the goals of Swachhbharat.


1996 ◽  
Vol 22 (3) ◽  
pp. 167-174
Author(s):  
J A Cantrill ◽  
B Johannesson ◽  
M Nicholson ◽  
P R Noyce

2001 ◽  
Vol 60 (2) ◽  
pp. 99-107 ◽  
Author(s):  
Holger Schmid

Cannabis use does not show homogeneous patterns in a country. In particular, urbanization appears to influence prevalence rates, with higher rates in urban areas. A hierarchical linear model (HLM) was employed to analyze these structural influences on individuals in Switzerland. Data for this analysis were taken from the Switzerland survey of Health Behavior in School-Aged Children (HBSC) Study, the most recent survey to assess drug use in a nationally representative sample of 3473 15-year-olds. A total of 1487 male and 1620 female students indicated their cannabis use and their attributions of drug use to friends. As second level variables we included address density in the 26 Swiss Cantons as an indicator of urbanization and officially recorded offences of cannabis use in the Cantons as an indicator of repressive policy. Attribution of drug use to friends is highly correlated with cannabis use. The correlation is even more pronounced in urban Cantons. However, no association between recorded offences and cannabis use was found. The results suggest that structural variables influence individuals. Living in an urban area effects the attribution of drug use to friends. On the other hand repressive policy does not affect individual use.


2005 ◽  
Author(s):  
K. Humphreys ◽  
S. Marcus ◽  
E. Stewart ◽  
E. Oliva

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