Regression and multivariate models for predicting particulate matter concentration level.

The devastating health effects of particulate matter (PM) exposure by susceptible populace has made it necessary to evaluate PM pollution. Meteorological parameters and seasonal variation increases PM concentration levels, especially in areas that have multiple anthropogenic activities. Hence, stepwise regression (SR), multiple linear regression (MLR) and principal component regression (PCR) analyses were used to analyse daily average PM concentration levels.

Greenhouse gas emissions estimation from proposed El Fukhary Landfill in the Gaza Strip.

Unlabelled: Landfills throughout the world are contributing to the global warming problem. This is due to the existence of the most important greenhouse gases (GHG) in landfill gas (LFG); namely, methane (CH4) and carbon dioxide (CO2). The aim of this paper is quantifying the total potential emissions, as well as the variation in production with time of CH4 from a proposed landfill (El Fukhary landfill) in the Gaza Strip, Palestine.