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Predictive Analysis of Ceramic Waste Modified Concrete Properties Using ANN and Linear Regression Algorithm

Asiri Abdullah

Rocznik Ochrona Środowiska

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2024

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Tom 26

273--283

EN

In this study, concrete modified with ceramic waste was modelled. The ceramic waste percentage ranged from 2.5% to 5% to 10% to 12.5% to 15% to 17.5% to 20%. Modelling was done for the concrete's tensile strength and compressive strength. Regression modelling and artificial neural networks were used as prediction methods for concrete strength. The models developed in this study to predict the mechanical properties of concrete were evaluated using Mean absolute error, coefficient of determination and root mean square error. The R2 value for the ANN model was determined to be 0.97, compared to 0.95 for the linear regression model. For the one-week, two-week, and four-week prediction models, RMSE values were 1.1 MPa, 1.15 MPa, and 1.05 MPa for the ANN model for one-week, two-week and four-week, respectively, while the linear regression model displayed the RMSE values of 1.08 MPa, 1.22 MPa, and 1.25 MPa. The R2 values for ANN and LR models were estimated to be 0.87 and 0.7, respectively, for predicting split tensile strength. This study will conclude that the artificial neural network model has high accuracy. It can be employed in modelling the mechanical properties of ceramic-modified concrete.

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Assessment of Ambient Air Pollution Levels: A Five-Year Analysis of PM2.5, NO, NO2, NOX, CO, and SO2

Srivastava Rohan, Khan Abdul Rahman, Asiri Abdullah, Khan Saimah

Rocznik Ochrona Środowiska

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2024

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Tom 26

366--373

EN

The study conducted on the air quality of five highly polluted cities in India over the last five years (2015-2020) sheds light on the detrimental effects of air pollution and the need for monitoring and mitigation. The research focused on six major air pollutants: PM2.5, NO, NO2, NOX, CO, and SO2. The study's findings reveal that the concentrations of these air pollutants consistently exceeded the limits set by the National Ambient Air Quality Standards 2009 and the World Health Organization's Ambient Air Quality Standards. This indicates that the air quality in these cities was consistently poor and posed a significant health risk to the population. The study emphasises that certain subpopulations, such as the elderly, young children, and individuals with pre-existing health conditions like asthma, are more vulnerable to the harmful effects of air pollutants. Elevated levels of pollutants in the air can lead to severe health effects and contribute to the development of serious diseases. Furthermore, the study highlights that the air quality significantly improved in 2020 due to the nationwide lockdown imposed in response to the COVID-19 pandemic. The restrictions on mobility and industrial activities resulted in reduced emissions, leading to a temporary improvement in air quality. These conclusions underscore the critical importance of understanding the harmful effects of air pollutants and taking measures to protect human health and preserve the quality of the environment.

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A Brief Overview of Antibiotic Contamination Sources in Wastewater and Elimination Approaches

Mumtaj Zeba Ali, Khan Abdul Rahman, Ansari Jamal Akhtar, Asiri Abdullah, Khan Saimah

Rocznik Ochrona Środowiska

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2024

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Tom 26

201--216

EN

Antibiotic contamination of natural resources and the receiving environment is of great concern. This brief discussion consists of the sources regarding antibiotic contamination and the analysis of several viable methods of removing antibiotic substances. The sources include domestic discharges, agricultural runoff, and pharmaceutical manufacturing effluents. Antibiotics are classified as emerging contaminants attributed to their persistence in the environment. Antibiotics and their metabolites enter the environment through human and animal urine and faeces. Persistent pollutants are introduced to aquatic ecosystems as they pass the wastewater treatment process. The overuse of antibiotics has led to the emergence of bacteria and genes resistant to antibiotics in the environment. This study provides a descriptive overview of antibiotic sources in the environment, their harmful effects, analytical techniques for its detection in wastewater, related challenges in monitoring antibiotic contamination in water, and recently used techniques for its removal from wastewater and problems associated with current strategies. The study also underscores the importance of understanding the sources and learning how to successfully apply methods to minimise the effects of antibiotic contamination in wastewater.