Search

Concrete, a widely used building material, should minimize its environmental impact to align with the construction sector's Sustainable Development Goals. Researchers worldwide are investigating the possibility of e-waste in building materials incorporating various recyclable elements. This paper conducts a thorough review of research on e-waste as a building material. Various E-waste products are used as fine and coarse aggregate replacements in concrete. The study uses a bibliographic approach with the Scopus database to delve into the literature discussing E-waste in construction materials from 2007 to 2022. Data are extracted specifically from Scopus, which identifies 731 papers based on the keyword "Electronic waste used as building materials". The second step involves scientometric analysis, which focuses on patterns within the articles, such as the most prolific countries, sources, frequently used keywords, and reports containing relevant research. Each research phase contains a summary of the results obtained at various stages. Detailed quantitative and qualitative discussions are also conducted to achieve the three primary goals: a summary of quantitative data, a discussion of the existing application, and identifying future research directions. These findings will be useful for subsequent academic studies on transforming e-waste into building materials. The scientometric review provides a path for researchers from various countries to share new ideas and information while encouraging research collaboration. [ABSTRACT FROM AUTHOR]

United Nations (UN) sustainable development goal 6 focuses on clean water and sanitation for all. To date, one-third of the world’s population lack access to clean, safe water. The traditional water purification methods cannot monitor and control water quality parameters from the early stages. In this paper, Internet of Things (IoT) is used to develop a real-time water quality monitoring and control system for a water treatment plant. A microcontroller is developed and interfaced with sensors to detect any deviations in the water quality parameters from the World Health Organization (WHO) standards. Every stage of the water treatment process is tested for quality, and deviations from the WHO standard triggers an autonomous control measure. A simulation model and a working prototype are developed. The research produces the expected results: accurate monitoring and control of water parameters. [ABSTRACT FROM AUTHOR]