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7332702 
Book/Book Chapter 
Environmental Distribution and Modelling of Radioactive Lead (210): A Monte Carlo Simulation Application 
Kulahci, F 
2020 
Radionuclides and Heavy Metals in the Environment 
15-32 
WOS:000569405700003 
The abundance of lead element with an atomic number 82 is 1.03 x 10(-8) % in the Solar System, 14 mg kg(-1) in the Earth's surface and 3 x 10(-5) mg L-1 in the oceans. The most dangerous radioisotope of lead is the Pb-210, which has a half-life of 22.26 years and gamma energy of 46.5 keV. Modelling is one of the most effective ways of appreciation about the distribution effects and transport of the elements to the earth. It has a wide range of content from pure differential equations to spatial analysis calculations. In this section, the modelling with Monte Carlo Simulation method of the environmental distribution of the lead can be found. The Monte Carlo Simulation method on Pb-210 data lead to concentrations for future times. In addition, models of auto regressive integrated average (ARIMA), generalized autoregressive conditional heteroscedastic (GARCH) and autoregressive conditional heteroscedastic (ARCH) are obtained to determine the environmental distribution characteristics of the lead. The proposed simulation methodologies can also be used successfully for other variables other than lead. 
Lead 210; Monte Carlo simulation; ARIMA; Modelling; Probability distribution; GARCH; Forecasting