Exploring Criteria to Locate Solid Waste Transfer Station in an Urban Area

2016 ◽  
Vol 42 (1) ◽  
pp. 58-65 ◽  
Author(s):  
Arti Jaiswal ◽  
Alka Bharat
Keyword(s):  
Solid Waste ◽  
Urban Area ◽  
Transfer Station ◽  
Waste Transfer

Treatment of Leachate from a Municipal Solid Waste Transfer Station by a Combined System of MBR and Electro-Catalyzed Oxidation

2013 ◽  
Vol 448-453 ◽  
pp. 1343-1352
Author(s):  
Shu Jie Liu ◽  
Fu Ming Chen ◽  
Jing Jing Zhao ◽  
Ming Fei Shao ◽  
Tong Zhang ◽  
...  
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Denaturing Gradient Gel Electrophoresis ◽  
Chemical Oxidation ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Combined System ◽  
Transfer Station ◽  
Waste Transfer ◽  
Catalyzed Oxidation

A pilot-scale combined system composed of anaerobic digenstion, membrane bioreactor (MBR) and Electro-Catalyzed oxidation processes has been set up to treat the leachate from municipal solid waste (MSW) transfer station. System performance was evaluated by ammonia and chemical oxidation demand (COD) removal . Results showed that 97% of ammonia was removed by MBR, and the elimination of COD was mainly completed in anaerobic process and MBR with a total removal of 99%. In addition, the analysis of microbial communities in the MBR, carried out by clone library and denaturing gradient gel electrophoresis (DGGE) of the 16S rRNA genes, indicated a highly diverse bacterial community and the enrichment of N-cycling bacteria.

scholarly journals Efficient Solid Waste Management in Prai Industrial Area through GIS using Dijkstra and Travelling Salesman Problem Algorithms

2021 ◽  
Vol 29 (3) ◽  
Author(s):  
Gaeithry Manoharam ◽  
Mohd. Tahir Ismail ◽  
Ismail Ahmad Abir ◽  
Majid Khan Majahar Ali
Keyword(s):  
Solid Waste ◽  
Carbon Emission ◽  
Solid Waste Management ◽  
Travelling Salesman Problem ◽  
Industrial Area ◽  
Alternative Route ◽  
Dijkstra Algorithm ◽  
Travelling Salesman ◽  
Transfer Station ◽  
Waste Transfer

The fourth industrial revolution (IR 4.0) supports new solid waste management and effective routing system for collection and transport of solid wastes, especially in achieving Penang 2030 vision to become a pollution free smart city. This study will enhance Seberang Perai Municipal Council (MBSP) solid waste routing system in Prai industrial area by implementing Dijkstra and Travelling Salesman Problem (TSP) algorithms using Geographic Information System version 10.1. The route optimization study involved 24 companies in Phase I, Phase II, and Phase IV of Prai industrial area. The authority is currently using only one route to transfer the waste-to-waste transfer station. The Dijkstra algorithm can optimize alternative route 1 distance by 19.74% whereby alternative route 2 ended up with extra distance by 3.73% compared to existing single route used by MBSP. The forward Dijkstra algorithm involves single direction route with cleaning depot (source) as starting point and waste transfer station (destination) as ending point. TSP algorithm is having advantage with return direction route. The alternative route 1 evaluated through TSP algorithm gave shorter distance by 6.61% compared to existing route. Alternative route 1 evaluated through Dijkstra algorithm is potential to save fuel cost by 19.75%. Existing route carries 9.2% per year of transportation carbon emission level. The alternative route 1 assessed through Dijkstra and TSP algorithms reported lower carbon emission level at 7.4% per year and 8.6% per year, respectively. Findings of this study can help in improving MBSP’s routing system and realize Penang 2030 vision.

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