Effect of COVID-19 pandemic on municipal solid waste generation: a case study in Granada city (Spain).

The 2020 coronavirus pandemic has involved a series of political and social measures that have been adapted to the spread of the disease. Apart from the severe effects on health sector, the most effects of the pandemic have been felt in households and day-to-day life. Consequently, COVID-19 has had a significant impact on the generation of not only medical and health care waste but also of municipal solid waste production and composition. In this context, this work studied the implications of COVID-19 for municipal solid waste generation in Granada, Spain. Granada is a city where the economy is based mainly on the services sector, tourism and the University. Therefore, the impact of COVID-19 pandemic has greatly affected the city and it can be analyzed through the municipal solid waste generation. For the study of the incidence of COVID-19 in the generation of waste a period that goes from March 2019 to February 2021 has been chosen. The results show that, in the global calculation, a decrease in the generation of waste in the city is observed in this last year, reaching - 13.8%. Regarding the organic-rest fraction, the decrease in the COVID year represents - 11.7%. However, bulky waste has shown an increase in the COVID year which may be related to higher home furnishings renovation rates than in other years. Finally, glass is the waste flow that best indicates the effect of COVID in the service sector. In leisure areas, a significant reduction in the collection of glass is observed (- 45%). Supplementary Information: The online version contains supplementary material available at 10.1007/s10163-023-01671-2.

A Review of Household Food Waste Generation during the COVID-19 Pandemic

The COVID-19 pandemic may have impacted the quantity and composition of household food waste generation in parallel with recent changes to food behaviors. A literature review was undertaken to determine the state of household food wasting during pandemic circumstances. Forty-one articles that reported on household food waste generation during COVID-19 were identified. Most of these studies relied on self-reported recall of food wasting behavior (n = 35), primarily collected through surveys. The average total amount of household food waste generated during COVID-19 was 0.91 kg per capita per week. Average avoidable food waste generation was 0.40 kg per capita per week and average unavoidable food waste generation was 0.51 kg per capita per week. Fruit and vegetables were the most wasted types of food. Only five studies reported statistically significant changes (actual or perceived) to household food waste generation during COVID-19. These results indicate a possible decrease in total, perceived food waste generation during pandemic circumstances, with a possible increase in the actual generation of unavoidable food waste. Further research is needed to adequately determine the impact of the pandemic on household food waste generation, as the findings summarized in this review vary substantially and statistically significant results are limited. © 2023 by the authors.

Medical waste generation during COVID-19 pandemic in selected member countries of Arabian Gulf region, Google trend analysis

The variant SARS-CoV-2 (COVID-19) has affected the entire globe;it has caused acute respiratory illnesses and has led to massive environmental problems associated with extra medical waste and single-use plastics. Herein the total quantity of waste generated in the selected GCC countries from different sources has been calculated. The popularity of the medical waste issue through using relative search volume was investigated to associate it with the quantities of Waste. Data was collected from the first COVID-19 case in the respective country until March 26, 2022, from the public domains, "Worldmeter”, "Our World in Data” and "Google Trends”. Autoregressive Integrated Moving Average (ARIMA) was used to predict the amount of CMW. The calculated values are 1107.980 kg/day from the facemask used by the public, 2,554,812 kg from vaccination, 2,595,772 kg from PCR tests, also the predicted daily total amount of COVID-19 related Medical Waste (CMW) by the end of 2022 (December 31, 2022) to be 3667.25 kg/day. The trend in the generation of CMW has been identified in selected countries. Generally, the waste is expected to get minimized, but it is a lesson for future planning. Especially With extensive vaccination, the cases are drastically decreased, and life is resuming in the regions. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of the University of Bahrain.

A novel methodology for household waste characterization during the COVID-19 pandemic: case study results.

The COVID-19 pandemic has caused a large number of the world's cities to establish quarantines. Much has been said about the environmental impacts of the confinement; however, very little data have been collected related to household waste generation and composition. In this study, the authors propose a novel methodology for the characterization of household waste without having to leave home, by using virtual training and completing forms. The results of the evaluation carried out in late September 2020 in three districts in the Arequipa province, Peru (Districts A, B and C) are presented. A total of 246 people participated in a survey on waste generation and segregation habits, and 44 people participated in the waste characterization study. Taking into account the error of the study, it can only be stated with certainty that waste generation decreased only in District B. The percentage of organic waste declined in Districts A and B, and increased in District C. Composition of hazardous and sanitary wastes increased significantly in all three districts. Each household generated an average of two to four masks and one pair of gloves per week.

Forecasting domestic waste generation during successive COVID-19 lockdowns by Bidirectional LSTM super learner neural network

Accurate prediction of domestic waste generation is a challenging task for municipalities to implement sustainable waste management strategies. In the present study, domestic waste generation in the Kingdom of Bahrain, representing a Small Island Developing State (SIDS) case study, has been investigated during successive COVID-19 lockdowns due to the pandemic in 2020. Temporal trends of daily domestic waste generation between 2019 and 2020 and their statistical analyses exhibited remarkable variations highlighting the impact of consecutive COVID-19 lockdowns on domestic waste generation. Machine learning has great potential for predicting solid waste generation rates, but only a few studies utilized deep learning approaches. The state-of-the-art Bidirectional Long Short-Term Memory (BiLSTM) network model as a deep learning method is applied to forecast daily domestic waste data in 2020. Bayesian optimization algorithm (BOA) was hybridized with BiLSTM to generate a super learner approach. The performance of the BOA-BiLSTM super learner model was further compared with the statistical ARIMA model. Performance indicators of the developed models using ARIMA and BiLSTM showed that the latter yielded superior performance for short-term forecasts of domestic waste generation. The MAE, RMSE, MAPE, and R2 were 47.38, 60.73, 256.43, and 0.46, respectively, for the ARIMA model, compared to 3.67, 12.57, 0.24, and 0.96, respectively, for the BiLSTM model. Additionally, the relative errors for the BiLSTM model were lower than those of the ARIMA model. This study highlights that the BiLSTM can be a reliable forecasting tool for solid waste management policymakers during public health emergencies. © 2022 Elsevier B.V.

Face mask and medical waste generation in the City of Baguio, Philippines: its current management and GHG footprint.

The daily use of facemask to prevent virus transmission increases the negative effect on the environment because of improper waste disposal. Due to the absence of baseline data, the impact of facemask and medical waste generation, as well as the community's management practice, should be studied to avoid further environmental degradation. In this study, we surveyed 384 respondents and conducted computational analysis to provide an overview of the household's facemask usage and ecological footprint in combating Covid-19. Results showed that most respondents (48.7%) use two facemasks per day. Thus, an estimated 417,834 facemasks are disposed daily, generating 3,585 kg/day of additional waste. The average medical waste of Covid-infected individuals is 3.29 kg per day per capita. This yields 22,438 kg. of CO2 eq., which could contribute to the global warming potential; however, there is also a potential recovery of 61.572 gigajoules of energy for power generation. Most respondents are aware of proper facemask waste management practices, but some lacks application regarding responsible waste disposal. Despite the contribution of facemask to the overall solid waste generation, the city's current management remains a challenge since disposable facemasks are potentially mixed with other types of waste from its storage, collection, and disposal. Supplementary Information: The online version contains supplementary material available at 10.1007/s10163-023-01601-2.

Environmental assessment of casual dining restaurants in urban and suburban areas of peninsular Malaysia during the COVID-19 pandemic.

Food waste has been considered a global problem due to its adverse impacts on food security, the environment, and the economy; hence needs urgent attention and action. Its generation is expected to increase as the world population grows rapidly, leading to more global waste. This study sought the impacts of the COVID-19 outbreak on the 1-week operation of selected casual dining restaurants in urban (Ampang, Kuala Lumpur) and suburban areas (Kota Bharu, Kelantan and Jasin, Melaka) of Peninsular Malaysia, as the local community adjusted to life with COVID-19. The food waste in this study was classified into three categories: preparation loss, serving loss, and customer's plate waste. Our material flow analysis revealed that the highest food loss at these locations came from preparation loss (51.37%), followed by serving loss (30.95%), and preparation loss (17.8%). Meanwhile, the total average electricity consumption and its carbon footprint for Ampang were 127 kWh and 13.87 kgCO2e, Kota Bharu 269.8 kWh and 29.47 kgCO2e, and Jasin 142.2 kWh and 15.54 kgCO2e, respectively. As for water, Ampang exhibited 22.93 m3 total average consumption and 7.91 kgCO2e greenhouse emissions from this source, Jasin consuming 17.11 m3 of water and releasing 5.88 kgCO2e of carbon footprint, while Kota Bharu emitted 20.21 kgCO2e of greenhouse gases from its 58.71 m3 water consumption. Our findings indicate a major 'food leak' at the preparation stage, from which the waste could be utilised as livestock feed, and that electricity consumption is a greater carbon emitter than water consumption, suggesting a need for improvement to the kitchen practices and equipment.

Comparison of Solid Waste Generation During and Before Pandemic Covid-19 in Indonesia Border Island (Riau Islands Province, Indonesia)

Waste in the archipelagic border area must be appropriately managed to maintain diplomatic relations. Indonesia's Riau Islands Province is an archipelagic region in Indonesia with limited solid waste infrastructure development. The capacity of the waste infrastructure depends on the rate of waste generation and is influenced by the socioeconomic conditions of the community. This study aims to study the model for estimating the rate of waste generation in the Riau Islands. This study uses data before and during the Covid-19 pandemic in 2019 and 2020. The estima-tion model uses a multiple linear regression model with independent variables such as gross regional domestic product, access sanitation, total population, and human development index. The fixed variable is the incidence of waste generation rate. During the pandemic Covid-19, the generation and composition of waste in the Riau Islands Archipelago did not experience significant changes, so the waste generation and composition characteristics are the same. However, the variable human development index (0.053) and the population (0.012) significantly increase the waste generation rate. The gross regional domestic product (0.017) negatively correlates, reducing the waste generation rate. The Riau Islands, which has an ocean area of 96%, is a source of life and significant to manage because the waste can be released into the ocean. Therefore, management from sources through policies considering the gross regional domestic product, total population, and human development index needs to be considered to reduce waste generation in the archipelago. © 2023, Polskie Towarzystwo Inzynierii Ekologicznej (PTIE). All rights reserved.

Exploring the Effect of Covid-19 on Municipal Waste Generation with System Dynamics Modelling

This study examines the dynamic change in population and municipal waste generation during the COVID-19 pandemic. A stockflow infection modelling was used to link population dynamics with disease transmission parameters (such as probability to catch COVID-19 and population interactions) to estimate municipal waste generation in the province of Tekirdag, Turkey. Three different scenarios (Scenario 1: severe conditions with possible mutation of coronavirus, Scenario 2: moderate conditions with the continuation of the current case and Scenario 3: mild conditions with intensified vaccination) were produced and simulation results were analysed. The results show that it is expected to have a peak with 230 000 people with severe symptoms in Scenario 1. It is also expected to have 1 person/week to pass away due to inadequate health infrastructure if the annual healthcare capacity improvement rate in the province remains at its current rate (1%). The results indicate that the amount of dry recyclables increases over time in the three scenarios. However, in Scenario 3, a total of 450 000 - 780 000 tonnes of dry recyclables are expected to be produced at the end of 3 years. This high amount of waste is likely to cause dynamism in the recycling activities of the province. As far as it is concerned that 750 000 - 1 000 000 tonnes of residual waste (including used masks) are expected to be produced in Scenario 3, capacity improvement for the only landfill site of the province should be made urgently or an alternative solid waste disposal facility should be put into use to meet this need.

Analysis of product shrinkage and waste in a potato bagging plant

Nowadays, an average of 2 kg of waste per person are generated in Spain. Furthermore, the household consumption is rising and, as a consequence, the waste production is also increasing. This trend presents a direct impact in the environment. Moreover, after two years of COVID-19 pandemic, it has been detected a stronger rise in consumption per person, while consumption through professional commercial channels for hospitality industry has been lower. This paper analizes the waste generation and product shrinkage in a potato bagging plant, which addresses its production to both final consumers and retailers. The raw materials washing line, as well as the production line, are taken into consideration in the analysis, while new uses to the produced waste are proposed, aiming at providing new useful life, such as the production of bioplastics or the production of biodiesel. As a consequence, the environment impact is minimized and new products are obtained. © 2022 The Authors.

Cost–Benefit Analysis of Introducing Custom-Made Small Thermal-Frictional Sterilization System to the Existing Hospital Waste Disposal System: A Case Study of Chinese Hospital

This manuscript proposes an integrated system for treating hospital solid waste (H.S.W.) consisting of an incineration and frictional sterilization system capable of operating during normal and emergency situations. We analyzed the benefits of integrating different hospital solid waste (H.S.W.) treatment systems with the existing stand-alone incineration system, with a particular emphasis on the thermal friction sterilization integration system. The objective was to define the economic advantages and benefits in terms of resources recovery of using the thermal frictional sterilization–incineration integrated system during the hospital’s normal and emergency/pandemic operating conditions. We modeled three modeling scenarios based on normal and emergency operating conditions. The results show that the H.S.W. was composed of 74% general H.S.W. Existing incineration systems would be the most expensive process because the sanitary transportation cost represented approximately 96% of the H.S.W. costs. The hospital would realize 40–61% savings relative to the existing method if the integrated incineration–frictional systems were implemented to treat 50–70% of H.S.W.;the savings were better than in other scenarios. Proposed scenario 3 had a much better resources recovery factor than scenarios 1 and 2. This modeling study showed that a thermal frictional sterilization–incineration system could work well even under emergency conditions if the H.S.W. in-house sorting/transportation/storage process is modified to cater to other H.S.W. treatment/sterilization systems.

Prediction of C&D, Grit, Asphalt and Treated Biomedical Wastes During COVID-19 Using Grey Model

Waste management has been recognized as a real issue in the current situation due to the COVID-19 impact on people’s lifestyles. Therefore, serious actions need to be taken to control and manage this impact on the environment. One of these important environmental programs is the investigation and research of generated wastes during the pandemic. Due to the COVID-19 pandemic, the types and amounts of waste generation have changed, therefore a way forward to reduce this impact is to investigate the data that coming from landfill to devise an appropriate approach. The goal of this study is to predict the amount of construction and demolition (C&D), Grit, Asphalt waste, and Treated Biomedical waste (TBW) before, during, and after pandemic using grey systems theory. The grey model is a relatively new forecasting method that has been employed for prediction in a small amount of data and is also used for uncertain systems. In this study, the data coming from Regina landfill is used to predict the amount of wastes generated during the pandemic using the grey model. The results will be compared with the existing regression-based waste model. Different measures like mean absolute percent error (MAPE) and root mean square error (RMSE) will be used to compare and evaluate the performance of these models. Finally, the best forecasting model will be chosen to predict the amount of waste generation for the future generation. © 2023, Canadian Society for Civil Engineering.

Prediction of Waste Disposal During Covid-19 Using System Dynamics Modeling

Sound and effective solid waste management practices are important to mitigate health risks and protect the surrounding environment. Proper Municipal Solid Waste (MSW) management practices are especially important during the COVID pandemic. Since the beginning of the COVID pandemic different waste disposal and recycling behaviors are observed in Regina, the capital city of Saskatchewan. It is believed the changes of waste disposal rate at Regina landfill is related to the new hygienic guidelines, more opportunities for work from home, distinct consumer behaviors, and COVID related regulations and recommendations. Waste generation and recycling behaviors are complex and multi-dimensional. The objective of this study is to model waste disposal rate at the City of Regina landfill using a System Dynamics (SD) model. The proposed SD model will help us better manage the City of Regina’s human resources during the pandemic and estimate the demand of additional personal protective equipment required for the waste management workers. In the present work, a total of 7.5 years of waste disposal data is collected, consolidated, and verified. Socio-economical parameters such as GDPs and population at Regina were also collected during the study period from 2013 to 2020. The model is built using stock-flow diagram to illustrate the effects of various inter-related variables on the waste generation behaviors. Construction and demolition (C&D), Grit, Asphalt Shingles Only, Asphalt Shingles Mixed and Treated Biomedical wastes data are used in the SD model. Results show that waste generation has affected by the pandemic and there is a general increase in amount of waste generation. The modeling results are important because it helps us predict the amount of MSW during and after the pandemic. © 2023, Canadian Society for Civil Engineering.

A Convolutional Neural Network Based on Transfer Learning for Medical Waste Classification During Pandemic Covid-19

Globally, the pandemic of the coronavirus disease (COVID-19) is spreading quickly. Inadequate handling of contaminated garbage and waste management can unintentionally transmit the virus within the company. the complete spectrum from waste generation to treatment must be re-evaluated to scale back the socio-economic and environmental impacts of waste and help achieve a sustainable society. In the area of computer vision, deep learning is beginning to demonstrate high efficiency and minimal complexity. However, the problem now is the performance of the various CNN architectures with transfer learning compared to the classification of medical waste images. Using data augmentation, and preprocessing before performing the two-stage classification of medical waste classification. The research obtained an accuracy of 99.40%, a sensitivity of 98.18%, and a specificity of 100% without overfitting. © 2022 IEEE.

Statistical Analysis of the Long-Term Influence of COVID-19 on Waste Generation-A Case Study of Castellón in Spain.

Existing research recognizes the COVID-19 impact on waste generation. However, the preliminary studies were made at an early pandemic stage, focused on the household waste fraction, and employed descriptive statistics that lacked statistical support. This study tries to fill this gap by providing a reliable statistical analysis setting inferential confidence in the waste generation differences found in Castellón. Repeated measures ANOVA were carried out for all the waste fractions collected and recorded in the city landfill database from 2017 to 2020. Additionally, Bonferroni's multiple comparison test (p < 0.05) was used to assure confidence level correction and identify which pairs of years' differences appeared. The longitudinal study identified trends for each waste fraction before the pandemic and showed how they changed with the advent of the crisis. Compared to 2019, waste collection in 2020 significantly grew for glass and packaging; remained unchanged for beaches, paper and cardboard, and dropped substantially for households, streets, markets, bulky waste, hospitals, and recycling centres. Total waste showed no differences between 2017 and 2019 but dropped significantly in 2020. These findings may help us better understand the long-term implications of COVID-19 and improve municipal solid waste management in a similar crisis.

Hospital waste generation during the first wave of COVID-19 pandemic: a case study in Delhi.

In this study, the hospital waste generation rates and compositions in Delhi were examined temporally and spatially during the first COVID-19 wave of April 2020. A total of 11 representative hospitals located in five districts were considered. The pre-COVID hospital waste generation rates were relatively consistent among the districts, ranging from 15 to 23 tonne/month. It is found that the number of hospital beds per capita may not be a significant factor in the hospital waste quantity. Strong seasonal variations were not observed. All districts experienced a drastic decrease in generation rates during the 1-month lockdown. The average rates during the COVID period ranged from 12 to 24 tonne/month. Bio-contaminated and disposable medical product wastes were the most common waste in Delhi's hospitals, representing 70-80% by weight. The changes in waste composition were however not spatially consistent. The lockdown appeared to have had a higher impact on hospital waste generation rate than on waste composition. The findings are important as the design and operation of a waste management system are sensitive to both waste quantity and quality. Waste records at source helped to minimize waste data uncertainties and allowed a closer examination of generation trends.

Global COVID-19 Related Waste Challenges, Response Strategies, and Potential Opportunities

As the world navigates the COVID-19 pandemic, the surge in waste generation, the varied composition of waste, and its subsequent management has presented several challenges to many communities. Waste management techniques and cultivating an awareness of the environmental and health impacts of mismanaged wastes have varied with location, economics, and priorities of the region. Risk mitigation efforts including the wearing of masks, lockdowns, and stay at home orders intended to contain the spread of the virus have resulted in several unintended environmental implications. With the rise in consumer plastic consumption, single use PPE, take away food orders, and online shopping, many households across the globe have reported an increase in waste. While developed countries have been able to approach the surge by utilizing and expanding current municipal waste management programs, countries lacking this existing infrastructure battle an increased risk of continued infection and magnified environmental issues through open landfills, groundwater contamination, and limited community awareness. Adopting appropriate methods of risk communication and encouraging participation from the public to manage waste issues is critical to protecting the environment by limiting contamination, improving community involvement in reducing landfill waste, and encouraging recycling. It is imperative to develop waste management solutions while continuing the promotion of sustainable habits, combating the current pandemic situation, and preparing for future episodic events. Our study focuses on analyzing episodic waste generation during the pandemic, management strategies adopted globally, and identifying areas of possible improvement and alternate strategies that can be implemented. © ASCE.

Adaptations of Municipal Solid Waste Management Systems in Response to the Coronavirus Pandemic

The coronavirus pandemic has challenged the operation of municipal solid waste management systems (MSWMSs) in the United States and elsewhere. With the growing concern about the potential exposure to the coronavirus, people are spending more time in their homes while changing their waste generation behaviors. This phenomenon has changed not only how people produce waste but also how MSWMSs plan and adapt the operation of their facilities. Since solid waste management has been declared as an essential service in addition to public health, MSWMSs have faced new challenges and thus developed adaptive measures in order to keep their critical operations. This study (i) identifies a broad range of waste management and operational challenges and (ii) summarizes various adaptive measures taken by different MSWMSs. Ephemeral data were collected and analyzed on the longitudinal impact of the pandemic on multiple MSWMSs in severely affected U.S. states, such as Florida, California, and New York, over a nine-month period. Note that best management practices for such waste-related challenges and adaptive measures can vary across different MSWMSs and states. In order to facilitate the development of different MSWMSs’ plan for future pandemic events, this study will characterize the identified impact of the pandemic and its relevant adaptive measures in terms of system structure (i.e., what facilities exist [entity], how they interact with one another [interdependency], and who control which facilities [control]). © 2023, Canadian Society for Civil Engineering.

Increased personal protective equipment consumption during the COVID-19 pandemic: An emerging concern on the urban waste management and strategies to reduce the environmental impact

Personal protective equipments (PPEs) are essential protective products for individuals exposed to microorganism, toxic substances, and pathogens. However, the advent of the coronavirus pandemic generated a heavy demand for PPE, which has led to a rapid accumulation of plastic waste related to potentially infectious PPE in the urban waste stream. Mismanagement of these wastes can lead to subsequent environmental problems. This study estimates the daily consumption of facemasks, gloves, and daily medical waste generation during the SARs-CoV-2 pandemic in the selected 33 countries worldwide. The results indicate that China used the highest daily facemasks and gloves among these selected countries, followed by India, the US, Brazil, Indonesia, and Japan. Moreover, India is the first one in medical waste production, followed by the USA, Brazil, the United Kingdom, France, and Spain. The article also provides viable strategies and discusses the pros and cons of strategies to address the unprecedented generation of plastic waste material during the pandemic. This manuscript also encourages scientific communities and policymakers to pay exceptional attention to the pandemic's plastic waste.

Effect of COVID-19 pandemic on food purchasing and waste generation during the lockdown period in The Sultanate of Oman

The coronavirus (COVID-19) is a threat to public health and caused several social, environmental, and economic problems. During the lockdown in different countries, waste generation has been significantly increased due to the high consumption of packaged food and increase the order of food via online and takeaway. This paper aims to investigate the impact of COVID 19 lockdown on food consumption and the subsequent change in waste generation in Oman. A quantitative research methodology was applied for this study using an online survey during the COVID 19 lockdown. The survey collected information on demographic data, awareness and attitudes toward food purchase behaviour, household food expenditure, and waste generation. Results show that 57.6% of the respondents believed that their food purchasing during the lockdown was increased as compared to before the lockdown. The main reason for increasing the food purchasing was the change in consumers behaviour and cooking more in households during the lockdown. This increase led to the increase in waste generation. One of the main reasons for the increased waste generation during the lockdown was the fact that people have spent more time at home. It was found that food waste and plastic packages were the highest increase (72% and 55%, respectively). These two types of waste are followed by cans and glass bottles with an increase of 68%. Other types of waste such as medical waste, electrical and electronic waste, and paper waste have shown no significant change in waste generation during the lockdown. Overall, this study provides useful information to further promote household food waste prevention behaviour, outlasting the COVID-19 crisis. The results from this study can be used by waste management and municipal utilities on consumption behaviour during emergency situations. © 2022 Global NEST.