Embedded Files
Click here to cast your VOTES for Best Project!!
A12: CONSTRUCTION OF WETLANDS AND WATER QUALITY ANALYSIS
A14: COMPARATIVE STUDY OF OIL POLLUTED WATER USING PHYTOREMEDIATION
A14: COMPARATIVE STUDY OF OIL POLLUTED WATER USING PHYTOREMEDIATION
This project investigates the effectiveness of various aquatic plants, including emergent, floating, and submerged species, in phytoremediation of oily wastewater—a significant environmental concern from industrial processes, urban runoff, and agriculture. Controlled laboratory experiments assess oil removal capacity, focusing on parameters like efficiency, degradation kinetics, and plant growth. Results reveal that aquatic plants, such as cattails and bulrushes, exhibit substantial oil removal due to their extensive root systems while floating and submerged plants like water hyacinth and hornwort demonstrate significant oil adsorption and degradation. Optimizing parameters like plant selection and density is crucial for designing effective phytoremediation systems. The study emphasizes the need for a comprehensive understanding of phytoremediation mechanisms and their integration with other wastewater treatment technologies. Overall, the research contributes to the growing knowledge of phytoremediation's application for oily wastewater treatment, offering valuable insights for developing environmentally friendly and sustainable solutions to address persistent oil contamination in water bodies.
A1 : ANALYSIS OF NOISE POLLUTION LEVELS AND GIS BASED MAPPING FOR ANGAMALY MUNICIPALITY
This project offers a comprehensive and intricate analysis of environmental noise levels, encompassing the assessment of health hazards and the development of effective mitigation strategies. Utilising the power of Geographic Information Systems (GIS) in conjunction with precise sound level meter measurements, the study aims to map noise pollution in an urban setting, with the ultimate goal of enhancing the well-being of its inhabitants. The project initiates data collection by deploying sound level meters at strategic points along roadways, capturing noise data over varying time intervals to account for diurnal and nocturnal fluctuations. The collected noise data is then meticulously processed and analysed, enabling the creation of a high-resolution noise level map through the use of ArcGIS. This spatial representation of noise pollution serves as a vital tool in identifying noise hotspots, sources, and patterns, thus facilitating the development of targeted noise mitigation strategies. In parallel with the mapping efforts, the project conducts a thorough health hazard assessment. It considers a multitude of health parameters, including hearing impairment, sleep disturbances, and stress-related disorders, which can all result from prolonged exposure to elevated noise levels. By comprehensively evaluating these factors, the project aims to provide a deeper understanding of the multifaceted impact of noise pollution on public health. With the noise level mapping and health hazard assessment as its foundation, this project is poised to present a set of sophisticated and tailored mitigation measures. These measures are designed to mitigate noise pollution in the urban area under study. Proposed solutions may encompass noise barriers, refined traffic management strategies, and innovative urban planning interventions to reduce the adverse effects of noise on the well-being and quality of life of residents. In summary, this project amalgamates advanced GIS technology, precise sound level measurements, comprehensive health hazard assessment, and urban planning. This holistic approach not only enhances our comprehension of noise pollution dynamics but also equips urban planners and policymakers with the knowledge and insights needed to develop sustainable strategies for noise reduction, ultimately enhancing the overall urban living experience.
KEY WORDS: Noise Pollution, ArcGIS, Sound Level Meter, Noise Mapping
Page updated
Report abuse