Garbage Management Research Articles

Eco-Sattva: a Buddhist response to the plastic waste crisis in Thailand

The plastic waste crisis in Thailand has emerged as a substantial environmental dilemma, significantly exacerbating pollution in both marine and terrestrial ecosystems. Although previous study has mostly focused on technological and policy solutions, it is still necessary to conduct a thorough evaluation of the approach to this issue that is driven by cultural and spiritual values. This study aims to examine the influence of eco-sattva principles on the management of plastic garbage and the Buddhist communities in Thailand. It also seeks to assess the effects of Eco-Sattva’s teachings by conducting a case study at Wat Chak Daeng. A comprehensive series of interviews were carried out with a total of 15 participants, encompassing priests, community leaders, and volunteers. The transcribed data was processed and examined using the NVivo program. The interview findings demonstrate that the lessons of Eco-Sattva on plastic waste management are extremely advantageous in terms of their practical use and execution. This study investigates and analyses the three-step waste management process at Wat Chak Daeng for plastic waste management, which involves reducing, reusing, and recycling plastic trash. This study provides a significant contribution by showing that the resolution to the plastic waste crisis is not solely reliant on technical or policy-focused approaches, but may also be derived from spiritual principles.

Implementation and Education of Circular Economy in Community Solid Waste Management: A Systematic Literature Review

This paper aims to offer strategic management recommendations for the incorporation of circular economy principles into municipal solid waste management and to disseminate knowledge regarding the implementation of this concept within local communities. This research combined systematic literature reviews with qualitative methods, utilizing content and descriptive analysis to evaluate the findings. The study indicates that municipal waste management in communities encounters numerous challenges, including insufficient funding, inadequate infrastructure, and noncompliance from the populace, all of which hinder effective municipal garbage management. In addition, a more significant concern is the lack of efficient techniques for recycling and waste segregation. Moreover, as urban populations increase, waste generation escalates, exerting strain on current disposal facilities. Implementing a circular economy strategy in municipal waste management has numerous benefits, including the reduction of landfill trash, the conservation of natural resources, and the generation of employment opportunities through material recycling and repurposing. Circular economy enhances environmental sustainability by reducing pollution and facilitating the transition to a more resilient, resource-efficient system. Moreover, educating people about circular economy principles enhances their understanding of sustainable practices, leads to less waste and resource conservation, and enhances economic prospects by generating green employment and fostering local innovation in waste management techniques.

Locomotion Algorithm for Onroad Autonomous Robots with Real Time Response

Abstract: This research introduces a novel locomotionalgorithm for autonomous on-road robots that are intended to realtime garbage collection from dustbins.The proposed system incorporates a cutting-edge object identification framework called YOLO (You Only Look Once) to recognise roadways, obstructions, and dustbins. The autonomous robot, equipped with a robust hardware platform and a camera, navigates urban environments efficiently, ensuring seamless obstacle avoidance and precise dustbin localization.Our method makes use of real-time processing to facilitate adaptive decision-making and dynamic path planning, which improves the robot's operational effectiveness. The algorithm's efficacy in varioussettings is illustrated by the experimental findings, underscoring its potential for scalable implementation in smart city endeavours. Recent advances in autonomous urban cleaning systems form the basis for this study, which focuses on real-time processing capabilities to enable adaptive decisionmaking and smooth navigation. Experimental validation illustratesthe suggested locomotion algorithm's performance in avariety of urban environments, highlighting its practical application in autonomous garbage management systems. This research aims to address waste management difficulties and contribute to the development of autonomous urban cleaning technology, thereby supporting the realisation of smarter and cleaner cities. By providing a long-term solution to the problems associated with urban waste management, this research advances autonomous urban cleaning systems.

Improving the Quality of Traditional Market Services Based on the Indonesian National Standard (SNI) in the Case of Rau Market, Serang City

Traditional markets have a strategic function as a driver of the local economy that can increase employment opportunities and local revenue (PAD). The low quality of service and competitiveness of traditional markets are the main problems that hinder their function and role. The purpose of this study is to determine the priority scale for improving the service quality attributes of traditional markets by referring to the Indonesian National Standard (SNI). This study took Rau Market in Serang City as a case. Research respondents were taken randomly from the population of traders in the market and were also strengthened by interviews with buyers and market managers. Data from interviews with trader and buyer respondents were analyzed using the Importance Performance Matrix (IPM) method. The results of this study indicate that there are nine service quality attributes that are considered very important by customers but their performance levels are considered still unsatisfactory, namely market cleanliness, waste collection, public facility conditions, market drainage, waste and garbage management, the ability of officers to supervise the conformity of goods prices with the facilities provided, the ability of officers to supervise the quality of goods, the ability of officers to give strict sanctions to violators of the rules, the ability of officers to supervise the price of goods. The results of the study can be a reference for the Regional Government in allocating budgets for traditional markets by prioritizing aspects of market management and maintenance. Keywords: Importance Performance Matrix, customer satisfaction, service quality

Computer Vision Applications in Garbage Management: A Survey

In recent years, computer vision (CV) technique has made great breakthroughs, and it has been applicated in the fields related to garbage management. Due to quick expansion of consumerism and urbanization, the amount of garbage generated by humans has increased rapidly, which has caused harmful results for both the environment and people’s lives. Identifying garbage automatically by means of CV technique plays an important role in urban road garbage detection, marine litter detection and garbage classification. This paper, gathering research from various sources, show how computer vision techniques can help garbage management to become smarter and more accurate by giving a view of the literature on different CV applications in the fields related to garbage management. In addition, the paper also aims to find and analyze the common problem when practicing the theories in practice and several promising directions for future research.

Garbage prediction using regression analysis for municipal corporations of Indian cities

AbstractGarbage management is exceptionally critical and poses enormous environmental challenges. It has always been a vital issue in municipal corporations. However, municipal agencies have developed and used garbage management systems. Garbage forecasting still plays a crucial role in the management system and helps improve or create a garbage management system. This research examines the information from 212 cities to suggest a helpful regression model for garbage forecasting and control. To establish a connection between the variables, the descriptive study employs statistical techniques to learn about the composition of data collected from municipal corporations and conduct correlation analysis. Population and garbage depend highly on one another, as evidenced by their correlation coefficient of 0.922,144. The primary research is used to build an alternate hypothesis that shows the chosen variables are highly dependent on one another. The dataset is scaled and divided into a training and testing 80:20 ratio during the pre‐processing data phase. This research aims to do a regression analysis with daily garbage production, urban area, and population as independent variables. This research initiates a variety of regression models, including multiple linear regression (MLR), artificial neural network (ANN), decision tree regression (DTR), and random forest regression (RFR). The MLR model's R2 value of 0.85 indicates that it has the potential to accurately forecast daily garbage production based on just two independent variables and a single dependent variable. Random Forest Regression (RFR) with (MSE: 100,078.749 & MAE: 182.212) shows that it has the lowest MSE among all the models, which provides the most accurate predictions on average and the fit values of 8.85 and 316.23 obtained from the error distribution with a bin value 25. The estimated results from each model are compared to the test data values on line graphs and Taylor plots. The mean square error and the mean absolute error in the analysis and the Taylor plot show that the RFR model is best suited for predicting daily garbage production in a city. This research, therefore, provides a Random Forest model that is optimal for such challenges and is recommended for this class of problem.

Artificial Intelligence-Powered Chatbots for Waste Management: A Vision for Circular and Smart Cities

Innovative solutions are needed to address the major issues associated with the efficient management and recycling of garbage in metropolitan environments. To overcome these obstacles, this study abstract investigates the use of artificial intelligence (AI) in trash management. Municipalities and recycling centers can increase garbage collection efficiency, improve sorting accuracy, forecast waste generation patterns, inform the public, identify illicit dumping, and advance a circular economy by utilizing AI-driven solutions. Smart garbage collection is one important area where AI shows its potential. We used the study of these five chatbots to help us construct the processes for gathering data, instruction, developing, and testing a chatbot using different natural language processing (NLP) techniques, which are covered in the second section of this work. We also present some conclusions and comments on all facets of the topic to evaluate if they might be useful to us in future research. Additionally, the successful development of a chatbot devoted to the circular economy will be the aim of our research on this subject in the future.

Evaluation of Rat Density and the Associated Factors in Leptospirosis Endemic Areas: The First Report on the Use of BI-Index

Introduction: Leptospirosis is a health problem in tropical countries where rats serve as the reservoir of Leptospira contamination. Previous investigations implementing the Bi-index to assess rat density in Leptospirosis endemic areas are highly limited. This study aimed to use the Bi-index in monitoring rat density and the associated factors in urban Leptospirosis endemic areas. Methods: Four endemic areas in Semarang City were selected as the study sites based on Leptospirosis data in Puskesmas Gayamsari. Live traps were positioned in one case house and 39-49 neighboring houses in a 100m radius, on three consecutive days. Trapped rats were collected for species identification, morphometrics evaluation, and calculation of Bi-index and rat indices, while environmental parameters were obtained through observation. Results and Discussion: 67.1% of participants were women, private employees, and aged 17-55, while trap success ranged from 2.5-26.5% with the Bi, diversity, dominance, and evenness indices of 0.02-0.32, 0.94-1.09, 0.36-0.44, and 0.79-0.96, respectively. Trapped species included Rattus norvegicus, Rattus tanezumi, and Mus musculus with proportions of 61.3%, 34.1%, and 4.7%, respectively. The presence of rats was associated with closeness to the river containing stagnant water, frequent flooding, water entering houses during floods, open trash bins, and rubbish bins around the houses. The high rat density, dominant species, and correlated environmental conditions are strategic targets in controlling Leptospirosis in Semarang City. Conclusion: The rat density (dominated by R. norvegicus) in Semarang City was correlated with water drainage and garbage management, hence further investigation was recommended to determine Leptospira bacterial infection in rodents.

Factor Relating to Behaviour in Managing Disposable Mask Waste in The Harbour of Batan City

The harbour which is a public place has the potential as a place for disease transmission, environmental pollution, or other health problems. The objective of the current research was to determine the factors relating to behavior in managing disposable. This type of research is observational analytic using a cross sectional design. Simple random sampling technique and a sample of 90 respondents. The research instrument used a questionnaire and used the Chi Square test and logistic regression (α = 0.05). The results of the study showed that the most important factor related to the management of garbage masks are knowledge with (p value = 0.004; p < 0.05; OR = 6.571; 95% CI = 1.566-25.929), attitude (p value = 0.049; p < 0.05; OR = 3.388; 95% CI = 1.006-11.407), and binding regulations (p value = 0.002; p < 0.05; OR = 0.098; 95% CI = 0.022-0.434). The conclusions of the current research is that there is a significant relationship between knowledge, attitude and binding regulations with mask waste management.

Effect of Metro rail extension on flood risks of Bangkok Metropolitan Authority outskirt due to climate and land use land cover changes

ABSTRACT The Bangkok Metropolitan Administration's expansion, driven by economic growth, includes extending Metro systems and altering land use. This transformation, especially noticeable near these routes, has led to shifts in land cover – reduced green spaces, increased impervious surfaces, and decreased water storage. These changes, coupled with denser population and higher waste-generation, have compromised drainage efficiency, amplifying flood vulnerability. This study focuses on Pink Line's 34.5-kilometre stretch from Khae Rai intersection along Tiwanon Road to Min Buri, aiming to evaluate Flood Vulnerability Index (FVI) near the Metro line, identify critical influencing factors and propose mitigation strategies. The analysis divided the study area into five zones based on characteristics, evaluating FVI using population density (PO), drainage efficiency (DE), impervious ratio (IR), garbage management (GB), and pond area ratio (PA). FVI values ranged from 0.41 to 0.55. Sensitivity analysis showed minor FVI impacts at Lat Pla Khao and Ram Intra km.4 stations due to DE and IR, with reduced FVI at Khu Bon and Eastern Ring Road stations from PA and GB improvements. PA and IR enhancements consistently lowered FVI, while fluctuations were observed with GB and DE changes, with notable impacts at Min Buri Market Station. Understanding factor sensitivity aids in planning local mitigation-strategies.

Research on smart city public health detection system and improvement technology based on intelligent multi-objective.

With the increase of urban population density, urban sanitation becomes more severe; urban sanitation has important influence on public health. Therefore, in order to realize the detection of public health in smart cities, the research will use cutting-edge scientific and technological methods to improve urban environmental health, so as to promote the realization of public health achievements. This study introduces public health detection and optimizationtechnologies for smart cities. Firstly, a data detection system for urban public health environment was established using sensors and intelligent multi-objective technology to evaluate the water quality, air quality, and noise level of the city. Then, an intelligent garbage management system based on Tensor-flow was constructed to achieve efficient garbage collection and treatment. Finally, an intelligent traffic management system was developed to monitor and regulate urban traffic flow. The results of the simulation experiment demonstrated that the life data detection system was operationally stable, with a high success rate of 98%. Furthermore, its accuracy in detecting residents' living environment data was above 95%, the maximum relative error was only 0.0465, making it a reliable and efficient tool. The waste recycling system achieved a minimum accuracy of 83.6%, the highest accuracy rate was 95.3%, making it capable of sorting and recycling urban waste effectively. Additionally, the smart traffic management system led to a 20% reduction in traffic congestion rates, 20 tonnes less tailpipe emissions and an improvement in public health and well-being. In summary, the plan proposed in this study aims to create a more comfortable, safe, and healthy urban public health environment, while providing theoretical support for environmental health management in smart cities.

Examining the Indonesia Bureaucracy Response and Problem in Pandemic Times: A Preliminary Diagnostic Study

The assessment of waste management policies within the Environmental Agency of Palu City has been governed by Regional Regulation No. 11 / 2013, which pertains to the management of garbage. Nevertheless, the implementation of this regional regulation has proven to be ineffective, namely in relation to the problem-solving element. By analyzing the goals, objectives, and contents, it can be inferred that the regional regulation is designed to address the waste issue in Palu City. The objective of this study was to assess the waste handling and management strategy implemented in Palu City with regards to its adherence to the Adipura standards. The employed research methodology was descriptive in nature and falls within the qualitative paradigm. The analysis employs William Dunn’s theory, as evidenced by the utilization of policy criteria such as effectiveness, efficiency, adequacy, equity, responsiveness, and accuracy. The findings indicated that the waste treatment and management policy in Palu City with regards to Adipura was suboptimal. The failure of Palu City to secure the Adipura title in 2022 is evident. This observation demonstrates that the efficiency of waste management has not been fully realized. The process of landfill rubbish disposal in the Kawatuna landfill had not been concluded at the time of the assessment. Furthermore, the optimization of waste management in every urban village is yet to be achieved. The incomplete fulfillment of the budget allocated for waste management stands as the primary cause for this circumstance, with approximately 60% of the funds being disbursed. This observation demonstrates that the allocation of funds for trash management has not been commensurated, as there still remain several villages lacking the necessary means of transport. Keywords: policy, waste management, Adipura

Food waste-based bio-fertilizers production by bio-based fermenters and their potential impact on the environment

Increasing food waste is creating a global waste (and management) crisis. Globally, ∼1.6 billion tons of food is wasted annually, worth ∼$1.2 trillion. By reducing this waste or by turning it into valuable products, numerous economic advantages can be realized, including improved food security, lower production costs, biodegradable products, environmental sustainability, and cleaner solutions to the growing world's waste and garbage management. The appropriate handling of these detrimental materials can significantly reduce the risks to human health. Food waste is available in biodegradable forms and, with the potential to speed up microbial metabolism effectively, has immense potential in improving bio-based fertilizer generation. Synthetic inorganic fertilizers severely affect human health, the environment, and soil fertility, thus requiring immediate consideration. To address these problems, agricultural farming is moving towards manufacturing bio-based fertilizers via utilizing natural bioresources. Food waste-based bio-fertilizers could help increase yields, nutrients, and organic matter and mitigate synthetic fertilizers' adverse effects. These are presented and discussed in the review.

Waste Matters: A Comprehensive Exploration of Solid Waste Management in Krishnanagar City for Sustainable Solutions

Solid Waste Management (SWM) is a term used to address the management of waste and garbage. Given the communal living of human beings, the generation of a substantial amount of waste has transformed Solid Waste Management into a global concern. Defined as non-liquid waste material devoid of utility for human beings, solid waste stems from diverse sources such as domestic households, commercial enterprises, industrial operations, medical facilities, and institutional activities. In India, solid waste significantly contributes to environmental degradation, with improper management posing potential hazards. Over time, India has employed various techniques for Solid Waste Management. However, traditional methods, once effective, are now deemed less efficient and contribute to environmental harm due to population growth and shifts in the types of generated waste. Consequently, newer, more effective techniques have been introduced for SWM, aiming to minimize environmental impact. Krishnanagar city, much like other urban areas, grapples with solid waste management challenges, leading to a continual rise in waste production. Consequently, it becomes imperative to handle municipal waste in a systematic, cost-effective, and secure manner. This study reviews the current state of SWM in Krishnanagar city, offering a comprehensive overview. Through an analysis of all functional aspects related to SWM, the study draws conclusions and provides recommendations to enhance the existing waste management system in Krishnanagar city. The revisions made emphasize clarity, coherence, and relevance, ensuring the information is presented in a more refined and plagiarism-free manner.

Natural language based smart garbage management system using Artificial Intelligence

Natural language based smart garbage management system using Artificial Intelligence

A Review Paper on Assessing the Environmental Impact of Recycled Aggregate Production and Use

Garbage management has emerged as one of our planet's most serious challenges, owing to its considerable contribution to environmental issues. Waste from construction and destruction (C&D), together with agricultural waste, glass, and plastic garbage, account for the majority of this waste. Due to its considerable role in environmental problems, garbage management is an urgent global task. Recycling has gained popularity as a way to reduce landfill trash, including the aggregate made from recycled concrete (RCA) from construction and destruction debris (C&D), which has positive environmental impact, the society and the economy. India continues to employ a little amount of RCA in new construction despite its rising cement demand and generation of C&D waste. The use of recycled concrete aggregate (RCA) in construction impacts concrete characteristics with advantages and disadvantages. Challenges include workability, density, and water absorption, mitigated by super plasticizer and altered absorption methods. This paper emphasises the advantages of RCA in structural concrete and the need for enhanced knowledge and ability for sustainable methods for trash management in the context of India's cement consumption and C&D waste management. The paper urges more investigation and effort to advance RCA as a practical option for handling C&D waste and minimising environmental effects.

A COMPREHENSIVE REVIEW REGARDING INDUSTRY 4.0 , IoNT AND IoT FOR SMART MANUFACTURING BETTERMENT

This comprehensive collection of research articles explores cutting-edge advancements in technology, primarily focusing on the transformative power of the Internet of Things (IoT) and Industry 4.0. The papers span various domains, each shedding light on how these innovations impact our world. These papers introduces the Internet of Nano Things (IoNT), a nanotechnology-driven extension of IoT. IoNT promises to revolutionize industries, from healthcare to homeland security, offering precise data collection and improving object behavior understanding. [1] The second paper assesses IoT and Big Data's applications in construction, revealing their potential to enhance time efficiency and accessibility. Challenges, such as productivity reduction and technical training requirements, are also highlighted. [2] The third paper delves into Smart Home technology, leveraging IoT and smartphones to automate homes, fostering energy savings, security enhancements, and even medical applications. [3]The fourth paper explores Industry 4.0, emphasizing its role in combining smart technologies, such as IoT, to promote productivity, automation, and environmental responsibility within smart factories. [4]The fifth paper delves into smart grids and smart meters, showcasing how IoT and cyber-physical systems improve energy management, offering benefits like accurate billing and fault detection. [5]The sixth paper investigates smart materials and IoT's synergy in the automobile industry, emphasizing their potential to reshape transportation and deliver innovative solutions. The seventh paper assesses the readiness of enterprises to adopt Industry 4.0, providing an index for evaluation and assisting with strategic decision-making. The eighth paper focuses on Industry 4.0's implications for the Saudi Arabian cement industry, outlining a comprehensive framework to improve energy efficiency and sustainability.[6] The ninth paper highlights the impact of the Industrial Internet of Things (IIoT) on manufacturing in emerging economies, addressing challenges and offering guidance for enhanced competitiveness.The tenth paper presents a smart cyber-physical system designed to enhance the control of robotic arms, revolutionizing industrial automation with user-friendly interactions and efficient controls. [7] The final paper delves into a smart management system employing IoT technology to address environmental challenges, including garbage, water, and street light management, fostering efficiency and environmental sustainability. These diverse papers collectively showcase the transformative potential of IoT and Industry 4.0 across various industries, laying the foundation for a technologically enriched future.[8]

Technology Development in Waste Management in Makassar City

In the process of handling garbage in the City of Makassar, the government is always looking for ways that can be more effective and efficient in its use. The development of technology in the management of garbage to produce energy is a waste management solution in the City of Indonesia. The land in the management of waste has become a priority as the amount of waste grows daily. Through this research, it was discussed how to develop technology by offering the Landfill Gass Collection system through the application of technology for the utilization of the technology that is appropriate for the waste and conditions present in the city of Makassar. This study discussed one of the waste management systems that have been implemented in Indonesia, namely in TPA Benowo-Surabaya. The results of this study concluded that the Landfill Gass Collection technology system is more effective and significant in the handling of garbage, while generating energy converted from garbage to be used by the community with the cooperation process of the government and relevant parties. This process can produce a policy for the management of garbage in the city of Makassar. Keywords: development, utilization of technology, waste management

Assessment of Public concerns and Behaviours towards Scientific Solid Waste Management in Kanpur City (U.P.), India

The study evaluates household civic amenities, behaviour, and perspective on the management of garbage and trash in different zones of Kanpur city, using primary data collected through interviews with 622 randomly selected households. The study calculates Household Amenities Index, Behaviour Index and Pollution Perception Index, based on variables: toilet facilities, drinking water sources, ways of discarding garbage and readiness to pay for pickup.The study finds that zone 6 residents are more diligent in scientific waste management, and there is high pollution in the city centre due to poor management and lack of civic facilities. The finding would guide effective solid waste management policies.

Community Engagement in Solid Waste Management: An In-Depth Analysis of Household Participation and Practices in Chelstone Township in Lusaka, Zambia

The study investigated the efficacy of community engagement in solid waste management in Chelstone Township, with a focus on household involvement and participation. Understanding the extent of community participation in solid waste management is critical for improving waste management systems and developing sustainable practices in local communities. Chelstone Township, Lusaka Province, Zambia, presented an attractive backdrop for investigating community engagement in solid waste management due to its unique blend of social, economic, cultural, and political elements. Chelstone’s population is diversified, with a mix of indigenous residents and migrants from other regions of Zambia, living in both informal settlements and more affluent residential neighborhoods. To examine the level of community engagement in solid waste management in Chelstone Township, the researchers used a mixed-method approach that included both qualitative and quantitative methodologies. The study found that community involvement in solid waste management was only partially effective, owing to a lack of household participation in decision-making procedures. According to the findings, community engagement in solid waste management was predominantly routed through councilors, resulting in insufficient representation of households in planning and decision-making. Community-based enterprises (CBEs) also demonstrated a lack of household engagement. The study identified obstacles such as waste politicization, a lack of information, distance collection places, unreliable collection services, and issues with openness and accountability in cash allocation. The outcomes of the study highlight the importance of increased education efforts to encourage community participation in garbage management. To supplement local government initiatives, effective engagement of stakeholders such as community organizations, NGOs, and commercial sector entities is advised. The study recommends incorporating community people in solid waste management planning, decision-making, and implementation.