Forecasting of secondary lead recovery from motorcycle batteries in Brazil: a contribution to waste management.

This study aims to predict the potential for secondary lead recovery from motorcycle batteries in Brazil, since this is considered the second largest category of automobiles in the country. To achieve this objective, a forecasting model based on the ARIMA methodology was applied, with input data taken from Brazilian sectorial platforms. Furthermore, an analysis of the data, of the residuals, autocorrelation tests, as well as Kolmogorov-Smirnov and Dickey-Fuller tests, were performed. The SARIMA model (3,1,0) (2,0,0)12 presented a better adaptation to the behavior of the series. The results showed that the amount of secondary lead obtained based on the forecast model will be 89,972,842.08 million tons between 2021 and 2030 (14 million tons of lead originated only from motorcycle LABs in 2021). These results show a possible insufficiency of the installed capacity to supply the amount of lead to be processed in the country, not to mention the LABs from other vehicles (light and heavy) and other emerging battery technologies from electric vehicles. In addition, an analysis was conducted on the importance of secondary lead for the economy and the dangers of illegal recycling in Brazil. In general, this study contributes to the understanding of the importance of secondary production of lead in Brazil, an important asset for a country that does not have sufficient primary production for its domestic demand. The findings may assist in several alternatives for the proper planning and management of the collection, disposal and recycling of lead, providing the Brazilian government with directions for the development of new policies related to lead recycling.

Use of life cycle assessment as a tool to evaluate the environmental impacts of textile effluents: a systematic review.

The textile industry is known for its large consumption of water, energy, and chemical products, making it one of the most environmentally impactful activities. To measure these environmental impacts, life cycle analysis (LCA) is a powerful tool that considers the entire process, from the extraction of raw materials to the finalization of textile products. In this context, this work aimed to present a systematic study on the use of the LCA methodology in the environmental assessment of effluents from the textile industry. The survey for data was carried out using the Scopus and Web of Science databases, and the PRISMA method was utilized for organizing and selecting of articles. During the meta-analysis phase bibliometric and specific data were extracted from selected publications. For the bibliometric analysis, a quali-quantitative approach was adopted, and the VOSviewer software was employed. The review encompasses a total of 29 articles, which were published between 1996 and 2023.The majority of the reviewed articles have shown the use of the LCA as a supportive tool for optimization focusing on sustainability, comparing the environmental, economic, and technical aspects through different approaches. The findings revel that China has the highest number of authors among the selected articles, while researchers from France and Italy had the highest number of international collaborations. The ReCiPe and CML methods were the most frequently used for evaluating life cycle inventories, with global warming, terrestrial acidification, ecotoxicity, and ozone depletion being the main impact categories. The use of activated carbon in textile effluents treatment has shown to be promising since it is environmentally friendly.

A forecasting model based on ARIMA and artificial neural networks for end-OF-life vehicles.

The accelerated growth of the automotive supply network has had an immeasurable impact on the environment, especially relating to reusing and disposal of materials. The appropriate management of End-of-Life Vehicles (ELV) has become an imperative item for achieving sustainable development in the field of interest and it is, therefore, a target of special attention from global economies in recent years. Therefore, the present study aims to estimate the future generation of ELVs to assist decision making and mitigate the global impact of this type of waste on the environment. For this, a hybrid forecasting model was used, based on Autoregressive Integrated Moving Average (ARIMA) methodology and on Artificial Neural Networks (ANN), with a set of temporal data extracted from Brazilian sectoral platforms. The results achieved point to a good convergence of the model, indicating better performance than a naive or trivial prediction. The efficiency obtained by the Nash-Sutcliffe coefficient was 98% and the expectation is that for the year 2030, approximately 5.2 million ELVs will be produced in Brazil, of which only 78 thousand units would be effectively recycled, considering the current vehicle recycling rate in the country. Considering the scarcity of information that supports decision-making in waste management in Brazil, this study may also contribute to the proposition of alternatives that favor the proper management of automotive waste, providing a reference for the formulation and implementation of policies related to ELVs in the country.

Strategies for the improvement of home medical waste management during the COVID-19 pandemic.

Home care services (HCS) are important to assist patients with difficulties in accessing conventional health services. Nevertheless, in times of COVID-19 pandemic, the traditionally offered service needs to be restructured to protect health professionals, patients and their families. In this context, this article aims to identify the impacts resulting from the COVID-19 pandemic on home medical waste management (MWM), converting threats into opportunities, and weaknesses into management strengths. Three months before the pandemic (from October to December), a comprehensive survey was conducted on the practices of home care services and MWM with health professionals, caregivers and patients in Caruaru (Brazil). Quali-quantitative information was collected by structured and semi-structured interviews. For evaluation, the SWOT-TOWS analysis was applied to identify the threats and weaknesses of the practices of HCS and MWM, and to propose strategies to ensure the protection of public health and the environment. The results showed that the main weaknesses found were the lack of training of health professionals and the lack of guidance given by them to caregivers of patients, both related to MWM. Except for sharp waste, all other MWM practices have proved to be inadequate, posing threats, especially in a pandemic period. Four action strategies to improve HCS and MWM were identified: (i) providing MWM training to HCS personnel based on ISO standards; (ii) providing MWM information to caregivers and patients; (iii) planning actions to optimize the service during the pandemic; and (iv) sharing HCS management with municipal decision makers. Between December 2020 and January 2021, semi-structured interviews were performed only with health professionals, to verify the impacts and changes that have occurred in HCS in the COVID-19 pandemic. Comparing the results of the two surveys, improvements were achieved, including the incorporation during the pandemic of some strategies identified in the first phase of the research.Implications: Home care service plays a fundamental role in the quality of life of patients and in the sustainability of the public health system in Brazil. In the pandemic period, HCS was impacted with routine changes and the adoption of new personal protective equipment. Our results showed the need to promote strategies to improve HCS to preserve the health of professionals and patients attended, in the pandemic and post-pandemic period. The strategies identified in the study contributed to improvements in the provision of the service and in the management of medical waste that is still inadequate. Such issues are of interest to municipal health management, which has adopted some of the suggested strategies. The thousands of HCS distributed in Brazilian municipalities can also adopt the strategic actions resulting from this research.

Forecasting model to assess the potential of secondary lead production from lead acid battery scrap.

Lead acid battery (LAB) scrap management is an important issue both environmentally and economically. The recovery of lead from battery scrap leads to a reduction in negative impacts of lead mining, as well as making the battery production cycle environmentally friendly. This work aims to propose a forecasting model for lead generation from LAB scrap based on time series modeling that uses data regarding after-market of batteries and new batteries produced for new cars. In order to illustrate the applicability of the new proposal, the model was applied to the Brazilian case. The main results show that at least 1% of LAB scrap from light vehicles have unknown or improper destinations; the efficiency of the recycling process in Brazil is still low, resulting in lead losses close to 4.5%; the lack of a sectorial agreement between the official battery market and the government concerning the reverse logistics of LAB scrap leads to a lack of precise data on the amount of LAB scrap generated and its final destination. Moreover, the economic importance of lead recycling and logistics of the secondary market are also discussed, with a focus on the dangers of illegal recycling.