Waste Collection System Research Articles

Integrated municipal solid waste management using ArcGIS tools: A case of akaki-kality sub-city, addis ababa, ethiopia.

This study aimed to optimize the solid waste collection and transportation system using ArcGIS Network Analyst and location-allocation tools. The generated solid waste was characterized by proximate analysis. The generation rate and composition were determined according to standard methods. The average solid waste generation rates for households, commercial sites, institutions, and recreational places were 0.48kg/c/day, 15.03kg/fac/day, 9.32kg/fac/day, and 22.8kg/fac/day, respectively. The estimated total generation rate of the sub-city is 207,004.03kg/day and 712.13 m3/day as discarded base. Composition analysis revealed that food waste is the major component of municipal solid waste, with estimated weight and volume of 134,696.08kg and 299.46 m3, respectively. Proximate analysis indicated that food and textile wastes have relatively high moisture content and fixed carbon. Candidate pre-collection bin allocations were optimized based on factors such as road network, distribution of solid waste generators, and existing temporary dumping sites, resulting in 1052 potential bin locations. Transfer station allocation was optimized by considering land use-land cover, slope, and geology. Twelve transfer routes and four transport routes were established to efficiently serve the bins and final waste destinations. In conclusion, the study demonstrates that ArcGIS Network Analyst and location-allocation tools can effectively optimize the municipal solid waste collection and transportation system, providing a robust framework for improving waste management efficiency. However, further research is recommended to validate these findings through field application.

Individual, household and institutional level predictors of waste sorting: Evidence for Ecuador.

The rapid increase in waste generation in developing countries presents significant challenges, necessitating effective waste management strategies. This study examines the influence of individual, household and institutional factors on waste sorting behaviours in Ecuador, employing an ordered logistic regression model. Data were sourced from the 2019 National Multipurpose Household Survey (NMHS) and the Census of Economic Environmental Information in Decentralised Autonomous Governments (CEEIGAD). The NMHS uses a two-stage probabilistic sampling methodology, with census sectors as the primary sampling units and households as the secondary units. After excluding outliers and selecting individuals aged 15-65 years, the final sample consisted of 8601 households, including 26,175 individuals. The findings reveal that personal attributes such as gender, ethnicity, age, marital status and environmental concern significantly influence waste sorting behaviours. Household characteristics, including urban or rural location, are also critical. Institutional factors, such as municipal regulations, waste collection fees and waste separation at source, play essential roles in promoting waste separation. The study highlights the necessity for targeted governmental policies. Recommendations include improving environmental education, increasing sorting infrastructure in urban areas and ensuring waste collection systems maintain the separation of waste streams.

Analysis of the Circular Economy's Implementation at Maggot House Mengger Sub-District Bandung City

In 2023, the city of Bandung faced serious problems because the Sarimukti landfill caught fire and the city of Bandung experienced a "waste emergency". One of the programs launched is the construction of maggot houses in every sub-district in Bandung City with a target of processing 1 ton of organic waste/day. Mengger Sub-district is one of the sub-districts that received assistance to build maggot house. The land area of ​​the maggot house is 150 m2, managed by 4 officers. This study aims to identify various problems that must be resolved first so that the circular economy concept can be implemented at the Mengger Maggot House. The study was carried out by conducting observations, detailed surveys and in-depth interviews with various stakeholders in Mengger Sub-district. Observations were carried out to see the level of compliance of residents in sorting, a detailed survey was carried out on the waste collection and processing system at the maggot house, and in-depth interviews were conducted with assistants from Bandung City Environmental Service Office (DLH), maggot buyers, sub-district officials, maggot house officers, neighbourhood (RT) and hamlet (RW), and waste collector. Based on the results of observations, it was found that only some residents carry out sorting consistently, a collection system already exists in each RT/RW but they have not implemented a segregated waste collection system, and there is no system for transporting waste from the RW to the maggot house so that the amount of organic waste entering the maggot house is still low, no electricity and clean water, no choppers, leaks in the fly cage, and no diversification in maggot products. Through various socialization activities and Focus Group Discussions with all stakeholders, various agreements were obtained to resolve various problems at the Mengger Maggot House.

Mapping Population Densities and Waste Management Systems in Mombasa County: A Literature Review of GIS and Remote Sensing Techniques

Mombasa County is one of the five counties along the coastline of Kenya. Currently, Mombasa County has a human population of 1.2 million people, and the population is rapidly increasing through rural-urban immigration and natural births. However, the inadequacy of well-established waste management systems on the mainland and coastlines of the County is a threat to the well-being of the local residents. Poorly disposed of wastes both on land and at sea can lead to health problems not only for humans and terrestrial animals but also for aquatic animals such as fish, with the latter being one of the main sources of affordable proteins for poor coastal communities. This paper aimed to conduct a review of the spatial human population density of Mombasa County and the geospatial location of waste dumping sites and their proximity to settled areas. This literature review synthesized existing research on the application of Geographic Information Systems (GIS) and Remote Sensing techniques in mapping population densities and assessing waste management systems. The review began by examining studies that investigate population distribution patterns in urban and rural areas, utilizing GIS to analyze demographic data and satellite imagery. It explored methodologies used to estimate population densities, including dasymetric mapping, spatial interpolation, and land use classification techniques. Key findings were that limited studies have utilized GIS technologies to assess the population in Kenya. GRASP and Random Forest (RF) were the main techniques previously used to assess population densities in the rural Taita Hills area and along the coastal region. The population has exponentially increased in Mombasa County since the 1950s and is projected to increase further. Additionally, waste management in Mombasa County is majorly controlled by the county government. Ten geo-tagged waste collection spots were identified during the review, spread across the residential areas. In conclusion, the county should endeavor to employ GIS techniques to assess the rapid population change within the county and have targeted interventions to address the disparities in waste collection systems against population increase.

A Quantitative Assessment Approach to Implement Pneumatic Waste Collection System Using a New Expert Decision Matrix Related to UN SDGs

An innovative decision matrix has been developed to guide the selection and implementation of Pneumatic Urban Solid Waste Collection Systems (PUSWCS) in smart city projects. This study comprehensively collects and analyzes data on the advantages and disadvantages of pneumatic collection systems from technical, economic, and social perspectives. A decision-making tool was created to address the complexities of evaluating the desirability of incorporating PUSWCS in municipalities or specific areas, using a holistic approach. The tool assesses the technical, economic, and social feasibility of implementing PUSWCS, aligning it with the United Nations’ Sustainable Development Goals (SDGs). Specific variables are measured to assess compliance with the SDGs, distinguishing technical aspects from economic and social aspects. The methodology includes surveys of system users and technicians, expert assessments, and the development of a decision matrix that cross-references study variables and SDGs. The matrix assigns numerical values to the Magnitude (M) and Impact (I) of each variable, enabling quantitative interpretation. This holistic approach accommodates the complexities of waste management and diverse stakeholder perspectives. The results demonstrate the matrix’s effectiveness in accurately assessing the desirability of implementing PUSWCS. This confirms the matrix’s ability to optimally integrate with innovative smart city concepts and align with long-term sustainability goals. The study concludes that the design of the decision matrix allows the collection of information from experts, users, and stakeholders about economic, social, and environmental variables and relates them to the SDGs, to obtain a numerical result that allows to decide whether in a given urban environment it is advisable to implement a PUSWCS.

Using a hybrid genetic- simulated annealing algorithm for designing a recyclable waste collection system

Using a hybrid genetic- simulated annealing algorithm for designing a recyclable waste collection system

Internet of Things Enhanced Maritime Robot for Ocean Waste Cleanup

Plastic pollution is a major environmental concern, particularly in aquatic habitats. The accumulation of floating debris in water bodies caused by plastic pollution negatively impacts ecosystems, aquatic life, and water quality. The objective of this proposed study is to develop a remote-controlled boat equipped with sensors for measuring water quality and an efficient waste collection system. These sensors provide important information about the environmental conditions of the water body by measuring important factors like pH, dissolved oxygen, and turbidity. The data on water quality helps identify the regions that require immediate attention to prevent and manage pollution, as well as assess the overall health of the ecosystem. The primary goal of the research is to significantly reduce the plastic waste in marine areas, promote sustainable practices, and raise public awareness about the need to address marine pollution, ultimately enhancing a healthier marine ecosystem.

A Review On Revolutionizing Waste Water Collection and Recycling Processes with IoT

This paper provides an extensive review of IoT-driven solutions addressing critical challenges in sectors like wastewater treatment, agriculture, waste management, e-waste recycling, and water quality monitoring. Innovative models leverage IoT technology for real-time monitoring, control, and optimization. Examples include an industrial IoT cloud-based model for wastewater treatment, sensor integration in aquaculture systems for improved resource management, and intelligent waste collection systems in smart cities. The review identifies gaps and opportunities for advancements, highlighting the importance of real-time data collection, cloud-based analytics, and machine learning for informed decision- making in environmental and resource management

An optimized framework for implementation of smart waste collection and management system in smart cities using IoT based deep learning approach

An optimized framework for implementation of smart waste collection and management system in smart cities using IoT based deep learning approach

Production of Bioactive Compounds from Vegetable Waste using Microbial Consortia

Utilizing vegetable waste to produce bioactive compounds through microbial consortia represents a holistic solution to waste management challenges. Efficient waste collection systems in major cities ensure proper segregation of vegetable waste and lay the groundwork for resource utilization. Segregating waste at its source enhances waste stream quality and facilitates downstream processing. Research and development efforts investigating tailored microbial consortia seek to optimize waste degradation and bioactive compound yields, thereby unlocking the potential of waste. This approach significantly reduces greenhouse gas emissions by diverting vegetable waste from landfills, thereby mitigating climate change effects and improving air quality. Moreover, it conserves natural resources by reducing the need for virgin materials and promoting biodiversity, conservation, and sustainable resource management. Here, the enzymatic activities and phenolic concentrations derived from the biodegradation of vegetable waste were analyzed over 14 days. Protease activity that plays a vital role in breaking down proteins reached a notable level of 300 µg/ml after 14-day incubation. Lipase activity which is essential for lipid breakdown was observed at a concentration of 6.3 µg/ml. Furthermore, phenolic concentration analysis revealed a significant range, with values ranging from 225 µg/ml to 240 µg/ml after 14 days of incubation. Phenolics are phytochemicals possessing antioxidant properties and potential health benefits. These findings provide valuable insight into the efficacy of utilizing vegetable waste as a substrate for enzymatic and phytochemical production. The observed enzymatic activities and phenolic concentrations highlight the potential of vegetable waste as a valuable resource for the sustainable production of industrially relevant compounds.

A comparative study utilizing hybridized ant colony optimization algorithms for solving dynamic capacity of vehicle routing problems in waste collection system

The waste collection stage generated 70% of the cost of the total Municipal Solid Waste (MSW) management system. Therefore, choosing the most affordable waste collection method is essential to accurately estimate the waste collection and transportation costs, thus selecting the required vehicle capacity. The study aims to design a waste collection system for calculating waste collection and transportation costs using a systematic framework that includes Hybridized Ant Colony Optimization (HACO) with Sequential Variable Neighborhood Search Change Step (SVNSCS) and Sequential Variable Neighborhood Decent (SVND). The framework addresses a Dynamic Capacity of Vehicle Routing Problem (DCVRP) and improves ACO's ability in exploration and exploitation stages. The objectives are to minimize the cost of travel distance and arrival time formulated in a mathematical model and to design a new strategy for eliminating the sub-tour problem in the following steps: (1) minimize the number of routes assigned, (2) increase the amount of waste in the vehicle capacity, and (3) define the best amount of waste allowed in vehicle capacity. The waste collection system compared HACO with ACO across four benchmark datasets. The results indicate HACO outperformance ACO at 100%, 91%, 100%, and 87%, respectively. The visualization results demonstrated that HACO has fast convergence and can be considered another essential tool for route optimization in the waste collection system.

Biodegradable Waste Management in Georgia: Problems of the Composting System Introduction

Biodegradable waste management and, in particular, the introduction and implementation of composting systems are among the major problems for Georgia. An increase in the volume of municipal waste has been recorded in the country; therefore, the volume of generated biodegradable waste is also increasing. In accordance with the National Waste Management Strategy 2016-2030 of Georgia, the municipal waste generated in 2021 amounted to 1,104,952 tons. It is worth noting that the largest part of municipal waste is organic waste - 54.7%, while plastic waste is 13.8%, paper and cardboard - 10.6%, textiles - 4.1%, and other wastes. According to various studies, by 2030, waste generation is expected to increase from 0.6% to 1.2% annually, which should be the cause of significant challenges for national and local authorities, especially local municipalities, whose duties include municipal waste collection and transportation as well as the implementation of separate waste collection systems. Biodegradable waste management, including various composting systems, is of particular importance.The study shows that composting, as one of the best approaches for recycling biodegradable waste, is still not properly developed in Georgia. It is possible to name only a few successful experiences. Noteworthy among them is the Kutaisi Composting Center, which was established within the framework of the EU JOP “Black Sea Basin” in Kutaisi, Georgia. The Composting Center is designed for windrow composting of green waste (tree branches, leaves, grass). Its productivity is 2000 tons of compost annually. This Composting Center is one of the first in Georgia. It can bring very tangible benefits. In particular, the amount of municipal waste going to landfill sites was reduced by approximately 10%; the expenditures of the municipalities connected to the maintenance of green facilities (received compost is used) and so on have been reduced.Among the biodegradable waste composting approaches, it is recommended to use systems such as:Centralized composting,Community composting,Home (individual) composting.A centralized composting method can be used in municipalities where a large amount of biodegradable waste is generated. It is especially favorable in regions where the agricultural sector is developed and large amounts of green waste are generated. The Kutaisi Composting Center is a good example of the centralized composting system. As experience shows, such large-scale composting is particularly effective for green waste composting.It is promising for Georgia to introduce community composting approaches that offer an optimal scheme for communities to get the maximum benefits of their potential.Composting is an approach used in the field of biodegradable waste management that has the greatest potential in Georgia and can make a significant contribution to both economic development and the protection of the social and natural environment.

Alnus glutinosa (Alder) sapling as a phytoremediator for cadmium in contaminated soil of industrial park

Heavy metals can contaminate soil through human activities such as mining, waste disposal, excessive use of chemical fertilizers, and fossil fuels. In Iran, uncontrolled urban growth and lack of waste collection systems have led agricultural lands to become receptors of urban and industrial waste, resulting in the contamination of soil with cadmium, which has negative consequences for the environment and health. Alder sapling may have considerable potential for phytoremediation. The soil was placed in plastic pots of 40 cm in diameter with 7 kg air-dried weight soil per pot, spiked with solutions of cadmium chloride [Cd Cl2.H2O] at rates of 0 (control), 50, 100, 150, and 200 mg/kg in a solution. The analyzed data revealed a significant reduction in vegetative growth (plant height, leaf area, chlorophyll, stem diameter growth, stem dry weight, root dry weight, and leaves dry weight). The means were compared to assess the impact of cadmium accumulation on certain biochemical and physiological characteristics. The mean separation was performed using Duncan's Multiple Range test with a p-value ≤0.05. However, there was a simultaneous significant increase in enzymatic activities (peroxidase and catalase) and an increase in proline compared to control plants. The bioconcentration factor of stem, leaves, and roots was under one. The translocation factor (TF) of cadmium was more than 1, and cadmium contents were more localized in roots compared to leaves and stems, minimizing the risk of contamination through leaves. Alnus glutinosa has defense mechanisms against cadmium up to 19.5 mg/kg soil, as the tolerance index for roots and biomass is more than 0.8. Finally, it is a good candidate for research on phytoremediation and phytoextraction.

Quantification of Lost Resource Potential of Unsorted Textile Waste

The European Union (EU) requirements for the separate collection of textile waste came into force in Latvia in 2023. As part of the measure, containers for the management of separated textile waste were placed in locations accessible to the public, alongside other types of separately collected waste (e.g., glass, plastic and cardboard). The containers were designed to collect textile waste that met the following requirements:Shoes and clothes must be clean, dry, and free of chemicals, motor oil stains and mold.Free from damage (holes, tears, etc.);Soft toys, fabric scraps and rags, shoes that are no longer a pair or are damaged, torn or have holes, as well as home textiles, are not allowed to be stored in containers.This means that the national textile waste collection system is limited only to textiles that can be reused without additional repair or pre-treatment (e.g., washing), and the developed national textile waste collection system supplements the private initiatives existing through clothing donation points and second-hand shops. However, there is a “shadow” zone related to textile waste that do not meet the above mentioned collection requirements and are not specifically regulated and managed so far at a country level, thus have to be collected in unsorted household waste containers.The objective of the present research is to quantify the amount of textile waste collected from unsorted mixed household waste containers and to quantify the physical condition and fibers of this waste. Subsequently, the environmental impact of the lost resource potential of the unsorted textile waste based on the obtained quantitative and qualitative waste data was defined via life cycle indicators.

Characteristics and management of municipal solid waste in Uyo, Akwa Ibom state, Nigeria

Increased urbanization and population lead to increased consumption of manufactured goods. This ultimately results in increased production of waste. Identifying its composition is crucial for planning an effective solid waste management strategy. This study assesses the characteristics and composition of the waste generated within the Uyo Capital City Development Area of Akwa Ibom State, Nigeria. This is to aid in developing a scientifically supported waste management pilot system for the state. Direct waste sorting and characterization were conducted on the municipal solid waste arriving at the landfill during the study period. Over 50% of the generated wastes are recyclables and composed of plastics, metals, and paper, while the fraction of organic waste is over 30%. Similarly, the waste generation per capita is 1.34 kg/person/day, while the generation forecast over the next ten years is estimated to increase by approximately 40%. Furthermore, over 9,000 surveys were completed by residents to establish a problem statement about the existing waste collection and disposal system, and possible solutions. Importantly, a majority of survey respondents were willing to source-separate their wastes and supported paying a fee for adequate waste collection. This strongly indicates that an integrated waste management system could be established to generate value from the collected waste. Supplementary revenue can be generated through composting, recycling, and land reclamation.

Effect of Solid Waste Management on Socio-Economic Development of Urban Area: A Case of Kicukiro District

This study investigates the impact of solid waste management on the socio-economic development of urban areas, focusing on the case of Kicukiro district. The objectives include assessing solid waste management practices in the district, analyzing the level of socio- economic development, and determining the relationship between solid waste management and community socio- economic development. Employing a quantitative research design, the study utilized means, standard deviation, and multiple regression for data analysis. The sample size comprised 388 participants selected through simple random sampling. Data was collected through questionnaires and documentary methods, and regression analysis was employed to test research hypotheses. The findings indicate a positive relationship between socio- economic development and key components of waste management, including waste generation and separation, waste collection, and treatment and disposal. The strong correlation between socio-economic development and waste generation and separation suggests that effective practices in these areas contribute significantly to socio- economic development, representing a notable 93.4% correlation (r = 0.934, p < 0.01). Similarly, organized waste collection systems show a robust positive correlation with overall socio-economic progress, emphasizing their crucial role in supporting economic activities within the community, with a substantial 92.1% correlation (r = 0.921, p < 0.01). The study also reveals a positive correlation between socio-economic development and proper waste treatment and disposal methods, highlighting their significant contribution to community well-being and economic activities, representing a strong 93.2% correlation (r = 0.932, p < 0.01). In conclusion, the research underscores the importance of a paradigm shift in waste perception and management, advocating for sustainable practices that recognize waste as a valuable resource. The recommendations include implementing comprehensive waste management strategies, community engagement through awareness campaigns, and fostering a sense of responsibility among residents for active participation in environmentally sustainable practices.

Smart Waste Management System Using IoT

Waste collection and management are integrated parts of both city and village life. Lack of an optimized and efficient waste collection system vastly affects public health and costs more. The prevailing traditional waste collection system is neither optimized nor efficient. The Internet of Things (IoT) has been playing a great role in making human life easier by making systems smart, adequate, and self-sufficient. Thus, this paper proposes an IoT-based, efficient waste collection system with smart bins. India generates tons of waste annually. Conventional garbage collection is not efficient since the authorities are not notified until the waste bin is full, and this leads to an overflow of waste material. Efficient waste disposal and collection are essential for a sustainable and clean India. A smart waste management system uses an IoT-based waste bin for collection and monitoring the level of waste inside the bin. The system does real-time monitoring of the waste bins and determines which are to be emptied. The system is implemented using two ultrasonic sensors. One of the ultrasonic sensors detects the level of waste in the bin, and the other detects the person approaching the bin to dispose of the waste. This detection helps with the automatic opening and closing of the lid. A servo motor is connected to the lid, which serves the action of closing and opening the lid. In this system, the level of waste in the bin will be sent to the concerned authorities. Thus, it reduces fuel costs and human labor, making the system optimized and efficient by enabling real-time monitoring and enhanced navigation.

Android Application for Waste Collection Management

Abstract: The value and rate of logical waste discarding will remain to rise as long as mortal conditioning remains. The result of the scurrility of logical waste, which is a great peril to the world and to mortal health, calls for the want to amend the situation before it can get out of phase. This leads us to exercise the stylish ways to take logical waste collection following the rearmost trends in movable technology. This study developed a waste collection model with the end of intending a movable waste operation operation model that will support ameliorate quality operation of logical waste collection and better environmental jolt reduction. The model places waste creators in the middle ground of the waste collection system as they play a crucial part in producing logical waste, aiding waste companies during waste collection and providing an operative device for external councils to epitomise this appreciation. all conditioning related to logical waste collection and directing their opinions. In this study we have handed all the necessary and over- to- assignation movable technology and the model can work to achieve an operative logical waste collection system at home.

I Dustbin: A Revolutionary Waste Management Solution

As urban populations continue to rise, the efficient management of municipal waste becomes increasingly imperative. Traditional waste collection systems often face challenges in optimizing resources and addressing environmental concerns. This work presents the I Dustbin, an innovative solution designed to enhance waste management processes through the integration of sensor technologies and automated features. The I Dustbin incorporates two key sensors: a garbage sensor and a level sensor. The garbage sensor detects the presence of waste within the bin, while the level sensor provides real-time monitoring of the garbage level. These sensors are seamlessly connected to a microcontroller, which processes the data and controls the system's functionalities. To improve user experience and facilitate waste disposal, the I Dustbin is equipped with a motorized lid. The lid automatically opens and closes, allowing for hands-free waste disposal. Additionally, an LED indicator is integrated to visually communicate the garbage level, providing users with clear and intuitive feedback. The LED indicator employs different colours or patterns to signify whether the dustbin is empty, at medium capacity, or full.

An integrated temporal and spatial synchronization for two-echelon vehicle routing problem in waste collection system

This paper presents a two-echelon vehicle routing problem (2E-VRP) with vehicle synchronization at meeting points for the reverse logistic network to collect waste in the urban area. Low-capacity vehicles are utilized to perform collection only in the inner part of the city because of restricted access and limited infrastructure to be expanded. While, high-capacity vehicles are used to transform waste from the border of the inner city to the recycling centers located outside of city. Vehicles of the first and second echelons visit each other at meeting points, which do not have storage capacity mainly because of environmental and social consequences of the transshipment of waste. The timing aspect plays a critical role at meeting points to ensure the reasonable sequence of operations. So, temporal synchronization, a critical aspect of 2E-VRP, is considered in this paper, as well as minimization of waiting time of vehicles in meeting points to avoid long dwelling time. Moreover, because the previous study of 2E-VRP has not dealt with space limitation of meeting points, this paper presents a 2E-VRP that incorporates temporal synchronization, waiting time, and temporal capacity simultaneously for the first time to address a more practical model. To solve the mentioned problem a set of capable and latest metaheuristics are proposed as well as the hybrid ones to probe their efficiency and reasonably construct high quality routes. Moreover, the impact of the temporal capacity is investigated compared to temporal synchronization without considering temporal capacity.