Model Prediction of Particulate Dispersion from a Cement Mill Stack: Case Study of a Cement Plant In Nigeria

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Detailed Investigation of Particulate Dispersion from Kerman Cement Plant

The aim of this study was to investigate the particulate dispersion from Kerman Cement Plant. The upwind – downwind method was used to measure particle concentration and a cascade impactor was applied to determine particle size distribution. An Eulerian model, Gaussian plume model and an artificial neural network have been used to compute and predict concentration of PM10 from Ke...

متن کامل

cfd modeling of particulate matter dispersion from kerman cement plant

backgrounds and objectives: the dispersion of particulate matter has been known as the most serious environmental pollution of cement plants. in the present work, dispersion of the particulate matter from stack of kerman cement plant was investigated using computational fluid dynamics (cfd) modeling.materials and methods: in order to study the dispersion of particulate matter from the stack, a ...

متن کامل

a study on insurer solvency by panel data model: the case of iranian insurance market

the aim of this thesis is an approach for assessing insurer’s solvency for iranian insurance companies. we use of economic data with both time series and cross-sectional variation, thus by using the panel data model will survey the insurer solvency.

Modeling of CO dispersion from the Stack of an Iranian cement industry

The objective of our study was to simulation of carbon monoxide (CO) dispersion exited from the stacks of a cement industry of Doroud, Iran by Gaussian Model (GM). Four sampling period was conducted to measurement of CO from the factory's three-stack flow during one year. The input parameters for were the rate of CO emission, meteorological data, factors of related to the stack, and factors of ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IOSR Journal of Environmental Science, Toxicology and Food Technology

سال: 2013

ISSN: 2319-2399,2319-2402

DOI: 10.9790/2402-0326376