Selected Factors Affecting the Amount of Municipal Waste at Different Administrative Levels in Poland

The amount of generated municipal waste depends not only on the population but also on consumption patterns and economic welfare. The aim of this paper was to present the structure of generated waste over the years in the European Union, Poland, in Subcarpathian Voivodeship, and in Rzeszow. It has been assumed that the SARS-CoV-2 pandemic, the political action of the government, and the higher standard of living of the society are the factors influencing the increase in the amount of waste generated by households and waste segregation. The paper analyses the waste management system using the official data collected and published by Statistics Poland – the Local Data Bank (LBD) and Eurostat. The amount of municipal waste and waste collected selectively from households was probably affected to the greatest extent by local regulations. According to the data presented, a sharp increase in the amount of municipal waste, including bulk waste and bio-waste, was observed in 2013 and 2014, which may be related to the amendment in 2013 applicable in Poland of the Act on maintaining order and cleanliness in communes. Unfortunately in the Eurostat database, no accurate data on selectively collected municipal waste is available, and in LBD this data is available for different time spans depending on the administrative level. This makes it difficult to draw unequivocal conclusions on the amount of generated waste and forecast changes. © 2023, Journal of Ecological Engineering. All Rights Reserved.

Study of solid waste (municipal and medical) management during the COVID-19 pandemic: a review study.

The COVID-19 pandemic has resulted in a global emergency crisis and created waste management challenges worldwide. Such a critical point has changed solid waste (municipal and medical) management prospects and posed fact challenges to the health decision-makers and policy-makers to make decisions to ensure sustainable management of the environment. One of the most negative prospects of COVID-19 pandemic is the increased waste generation, especially plastic waste in developing and developed countries. This study systematically reviews the potential influences of the COVID-19 pandemic on medical and municipal waste, and discusses the corresponding measures and policies of solid waste management in several countries. The results show that the highest and lowest quality of final disposal is observed in Finland with 75% recycling and in India with 90% open dumping, respectively. In many countries, the medical waste showed an increase by 350-500%.The pandemic has brought particular problems to the disposal capacity of municipal waste and medical waste across the world. We think that this point of view study provides valuable data for scientists, policy makers, health decision-makers, consultants, medical staff, medical supplies, those working in public health sector, and field engineers responsible for solid waste management.

Modeling of municipal waste disposal rates during COVID-19 using separated waste fraction models.

Municipal waste disposal behaviors in Regina, the capital city of Saskatchewan, Canada have significantly changed during the COVID-19 pandemic. About 7.5 year of waste disposal data at the Regina landfill was collected, verified, and consolidated. Four modeling approaches were examined to predict total waste disposal at the Regina landfill during the COVID-19 period, including (i) continuous total (Baseline), (ii) continuous fraction, (iii) truncated total, and (iv) truncated fraction. A single feature input recurrent neural network model was adopted for each approach. It is hypothesized that waste quantity modeling using different waste fractions and separate time series can better capture disposal behaviors of residents during the lockdown. Compared to the baseline approach, the use of waste fractions in modeling improves both result accuracy and precision. In general, the use of continuous time series over-predicted total waste disposal, especially when actual disposal rates were less than 50 t/day. Compared to the baseline approach, mean absolute error (MAE), mean absolute percentage error (MAPE), and mean square error (MSE) were reduced. The R value increased from 0.63 to 0.79. Comparing to the baseline, the truncated total and the truncated fraction approaches better captured the total waste disposal behaviors during the COVID-19 period, probably due to the periodicity of the weeklong data set. For both approaches, MAE and MAPE were lower than 70 and 22%, respectively. The model performance of the truncated fraction appears the best, with an MAPE of 19.8% and R value of 0.92. Results suggest the uses of waste fractions and separated time series are beneficial, especially if the input set is heavily skewed.

Identification of behaviour patterns in waste collection and disposal during the first wave of COVID-19 in Regina, Saskatchewan, Canada.

The novel coronavirus (2019-nCov) has had significant impacts on almost every aspect of daily life. From 'stay-at-home' orders to the progressive lifting of restrictions, the COVID-19 pandemic has had unprecedented effects on consumer behaviours and waste disposal habits. The purpose of this short communication is to examine time series waste collection and disposal data in a mid-sized Canadian city to understand how behavioural changes have affected municipal waste management. The results suggest that private waste disposal increased during the pandemic. This may be due to people doing home renovations in order to accommodate working from home. Furthermore, it appears that changes in consumer habits destabilized the consistency of waste disposal tonnage when compared to the same time period in 2019. When considering curbside residential waste collection, there was also an increase in tonnage. This may be the result of more waste being generated at home due to changes in eating and cooking habits, and cleaning routine. Finally, the ratio of residential waste collection to total disposal is examined. More residential waste is being generated, which may have environmental and operational effects, especially related to collection and transportation. The results from this study are important from an operational perspective, and will help planners and policy makers to better prepare for changes in the waste stream due to pandemics or other emergencies.

Infectious Waste Management Strategy during COVID-19 Pandemic in Africa: an Integrated Decision-Making Framework for Selecting Sustainable Technologies.

The emerging and underdeveloped countries in Africa face numerous difficulties managing infectious waste during the SARS-CoV-2 disease, known as the COVID-19 pandemic. Hence, the main aim of this paper is to help decision-makers in African countries to select the best available waste management strategy during the COVID-19 pandemic. The present research undertakes seamless assessment and prioritization of infectious solid waste (SW) and wastewater (WW) treatment technologies based on a criteria system involving four dimensions, i.e., environment-safety, technology, economics, and sociopolitics. A combined approach that integrates the results of life-cycle assessments and life-cycle costs (LCA-LCC), analytic hierarchy process (AHP), and VIKOR method in an interval-valued fuzzy (IVF) environment is proposed. The results reveal that combined incineration and chemical disinfection approach, and combined chlorination and ultraviolet irradiation are the most sustainable technologies for managing infectious SW and WW treatment in the present context. The proposed approach, alongside the findings of the study, constitutes a reference to devise urgent planning for contagious waste management in African countries as well as developing countries worldwide.