Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: C:\Users\jami\Desktop\images\logo.pngDescription: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Journal of Environmental Treatment Techniques (JETT)

 

Volume 12, Issue 3, (2024)

 

 

 

Impact of Houseplants on Reducing Indoor Air Pollution

Amirreza Talaie, Mohanadoss Ponraj

Volume 12  |  Issue 3 |  Pages: 1-13 | PDF

 

Abstract: Houseplants provide a natural and effective solution for improving indoor air quality and enhancing human health. They help purify the air by absorbing pollutants such as formaldehyde, benzene, and trichloroethylene, while increasing oxygen levels and humidity. The evapotranspiration process from plant leaves raises indoor humidity, which can alleviate respiratory issues, reduce skin dryness, and minimize static electricity. In addition, houseplants serve as natural filters, capturing airborne particles and volatile organic compounds (VOCs). Beyond their physical benefits, houseplants positively influence psychological well-being by reducing stress, improving mood, and boosting productivity. They create a calming, aesthetically pleasing environment that fosters a connection to nature. Effective houseplants for air purification include Aloe Vera, Sansevieria, Pothos, and Peace Lily, each with specific abilities to remove indoor pollutants. Overall, incorporating houseplants into indoor spaces provides a holistic approach to enhancing air quality, health, and well-being. 

Keywords: Indoor Air Quality, Houseplants, Pollutant Removal, Psychological Benefits

 

 

 

 

Advancing Environmental Engineering: The Role of Artificial Intelligence in Sustainable Solutions – A Short Review

Amirreza Talaie, Hesam Kamyab, Ashkan Razmfarsa

Volume 12  |  Issue 3 |  Pages: 14-19 | PDF

 

Abstract: Artificial intelligence (AI) has emerged as a transformative force in environmental engineering, offering innovative solutions to complex environmental challenges. From air pollution monitoring and water resource management to waste management, climate change mitigation, and ecological preservation, AI is revolutionizing the way we address environmental issues. Machine learning, neural networks, and other AI technologies are enabling more accurate predictions, optimizing resource use, and improving conservation efforts. However, despite its many advantages, AI also faces challenges such as data availability, energy consumption, ethical concerns, and the need for transparency. This review explores the diverse applications of AI in environmental engineering, highlighting the current advancements, challenges, and future directions. As AI technologies continue to evolve, they hold the potential to create smarter, greener, and more sustainable solutions, ultimately contributing to a healthier and more sustainable world.

Keywords: Artificial intelligence, environmental engineering, air pollution, ecological preservation, sustainability

 

 

 

Exploring the Impact of Population Growth on Air Quality: A Case Study of Shiraz, Iran

Mostafa Basiri, Noorul Hudai Abdullah

Volume 12  |  Issue 3 |  Pages: 20-23 | PDF

 

Abstract: This study explores the relationship between population growth, urbanization, and air quality in Shiraz, Iran, from 2020 to 2025. Using a quantitative approach, the study analyzes the correlation between the Air Quality Index (AQI), particulate matter less than 2.5 µm (PM2.5), particulate matter less than 10 µm (PM10), and population density. Data was collected from government sources, focusing on changes in pollution levels and urban development. The findings reveal a moderate positive correlation between AQI and both PM2.5 and PM10, indicating that particulate matter significantly impacts air quality. However, the correlation between AQI and population density is weak, suggesting that factors like infrastructure and urban planning may mitigate the effects of population growth. The study highlights the complex interactions between urban expansion, air pollution, and public health, emphasizing the need for sustainable urban policies.

 

Keywords: Air quality index, particulate matter (PM2.5, PM10), population density, urbanization, Shiraz

 

 

 

 

 

Review of the Presence of Microplastics in Drinking Water: Occurrence, Mechanisms, Health Implications, and Treatment Strategies

Mohanadoss Ponraj, Thangavelu Ramesh, Salome Mulikita

Volume 12  |  Issue 3 |  Pages: 24-32 | PDF

 

Abstract: Microplastics have emerged as an environmental contaminant of concern. They are now frequently detected in drinking water. This review paper summarizes recent studies on the occurrence, sampling and analytical methods, sources, removal technologies, and potential human health risks. Short laboratory tests and field studies show that microplastic contamination may occur from raw water sources, during water treatment, and via distribution systems. The chemical and physical properties of microplastics and their interactions with co‐contaminants are discussed. Finally, we review treatment technologies and future research needs. This review calls for standardized methods and further risk assessment to ensure safe drinking water.

 

Keywords: Microplastics; Drinking water; Occurrence; Removal; Health risk; Water treatment

 

 

 

 

Investigation Effects of Carbon Dioxide (CO2) Concentrations Produced from a CO2 Enrichment Design Process on the Growth and Physiological Properties of Corn and Soybean

Hananeh Rabiee, Hooman Rowshanaie, Omid Rowshanaie, Hadis Safari Nezhad Fard, Mehdi Rabiee

Volume 12  |  Issue 3 |  Pages: 33-36 | PDF

 

Abstract: Climate change is one of the most debatable reasons for changing plant performance. Meanwhile, a higher amount of carbon dioxide (CO2) directly or indirectly affects the growth and development of corn and soybean oil plants; CO2 concentration changes also affect the dry weight characteristics of the plant. In this experiment, three effective levels of CO2 concentration have been evaluated on corn and soybean plants. Increasing the effectiveness of CO2 concentration from 400 PPM to 800 PPM depicted a significant increase in the plant's physiological traits, a 54% and 8.5% increase in Soybean biomass and Corn biomass, respectively. Furthermore, based on leaf area, the results reveal a 4% and 5% increase in Soybean and Corn, respectively. In contrast, increasing the CO2 concentration to 1000 PPM resulted in a decrease in plant performance and physiological traits, both directly and indirectly. With increasing CO2 concentration, a direct increase in physiological traits is observed.

 

Keywords: CO2, plant physiological traits, corn, soybean

 

 

 

 

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