Abstract
Abstract The aim of the study is to estimate the particle concentration variation across different working levels inside an opencast mine. The study was conducted in one of the deep opencast copper mines in India to estimate the distribution of different size of particles emitted from the operations concentrated in deeper parts of the mine. Moreover, with advancement of SPSS (version 25), the analytical techniques were used to identify the exposure to different size of particle during mining operations. We introduced the spatial statistic and graph theory in the field of air pollution to understand the particle distribution. The combination of correlation and one-way ANOVA statistical methods were used to estimate the impact of depth of mine as a critical factor on distribution of particle concentration. The outcomes of the study shows that spatial statistics, correlation, one-way ANOVA and graph theory can be used to understand the distribution pattern (shortest route to travel), to estimate concentration at different level, and to better understand mine workers exposure to particle matter.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
