Abstract
Jharkhand , a state in India is rich in minerals particularly coal. Large number of mines is excavated here. Opening of new mines and expanding existing mines causes air pollution. The main pollutants emitted are suspended particulate matter, oxides of nitrogen, sulphur dioxide and carbon dioxide. In this paper empirical models are developed to calculate SPM concentration in terms of NOx concentrations and SO2 concentrations. It has been seen that there is a good linear relationship between hourly SPM and NOx concentrations and also between SPM and SO2 concentrations. concentration. The model-predicted values of PM2.5 mass concentration are highly correlated with the actual observations. The root-mean-square error of the model is 6.1 μg/m³. HoermannS et.al has done an empirical analysis on particulate matter PM10 in Graz. They developed two models, prediction model and regression model. An empirical model to predict suspended particulate matter from lakes is presented by Lindstrom.M. et al. It predicts lake typical SPMvalues from lake total phosphorous concentration (TP).The model is shown to be stable and can be very useful in predictive lake modeling.
Highlights
Jharkhand is a mineral rich state in India
An empirical model to predict suspended particulate matter from lakes is presented by Lindstrom.M. et al It predicts lake typical SPMvalues from lake total phosphorous concentration (TP).The model is shown to be stable and can be very useful in predictive lake modeling
Linear relationships have been developed between observed hourly SPM and NOx and SPM and SO2 concentrations for each part individually and for whole area based on monitoring network
Summary
Jharkhand is a mineral rich state in India It has lot of deposits of minerals like iron, manganese, coal etc. The model applies a linear relationship between the observed hourly SPM and NOx concentrations. In another paper (Tian J. and Chen D.) developed a semi-empirical model to predict hourly ground-level fine particulate matter (PM2.5) concentration in southern Ontario. HoermannS et al has done an empirical analysis on particulate matter PM10 in Graz. They developed two models, prediction model and regression model. An empirical model to predict suspended particulate matter from lakes is presented by Lindstrom.M. et al It predicts lake typical SPMvalues from lake total phosphorous concentration (TP).The model is shown to be stable and can be very useful in predictive lake modeling
Sign-in/Register to view highlights & summary 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.
