In this paper, we assume that a professional pollutant treatment enterprise treats all of the pollutants emitted by multiple small and medium-sized enterprises (SMEs). In order to determine the treatment price, SMEs can bargain with the pollutant treatment enterprise individually, or through forming alliances. We propose a bargaining game model of centralized pollutant treatment to study how th...

A nonlinear five-dimensional mathematical model is proposed and analyzed to study the removal of a gaseous pollutant and two different particulate matters by rain from the atmosphere of a city. The atmosphere, during rain, is assumed to consist of five interacting phases namely, the raindrops phase, the gaseous pollutant phase, its absorbed phase and the phases of two different particulate matt...

During the flight, aircraft produces several pollutant emissions and the amount is deeply related to the atmospheric conditions (especially pressure, humidity, temperature, air density and wind), the aircraft performance and the phase of flight. In this paper an approach, based on Dijkstra algorithm, to calculate optimized trajectory in terms of several emission reduction (multi-objective traje...

The quality of stationary source emission factors is typically described using data quality ratings, as in AP-42, "Compilation of Air Pollutant Emission Factors." Such ratings are qualitative and provide no indication of the precision of the emission factor for an average emission source, nor of the variability in emissions from one source to another within a category. Advances in methodology a...

The poet and philosopher, George Santayana is often quoted as having said that “those who cannot learn from history are doomed to repeat it.” While he certainly did not have emissions forecasting in mind when identifying this conceit, it does have application to air pollutant emission projection practitioners. Under contract to the Lake Michigan Directors Consortium, E.H. Pechan & Associates, I...

A data mining methodology, the random forests, is applied to analyze pollutant emission from the recovery boiler of a Kraft pulping process. Starting from a large database of raw process data, the goal is to identify the input variables that explain the most output variations.

the present study was conducted to investigate the impacts of retrofitted cng vehicles on airpollutant emissions in tehran over a 20 years period using available statistical data, precise automobile tests, data analysis, and leap software. the obtained results revealed an increase in air pollutant emissionsincluding co (equal to 1030.77 thousand tons), nox (equal to 1030.77 thousand tons), thc ...

the present study was conducted to investigate the impacts of retrofitted cng vehicles on airpollutant emissions in tehran over a 20 years period using available statistical data, precise automobile tests, data analysis, and leap software. the obtained results revealed an increase in air pollutant emissionsincluding co (equal to 1030.77 thousand tons), nox (equal to 1030.77 thousand tons), thc ...

this research uses computational modeling to explore another method to increase diesel engine performance while maintaining low pollutant emission levels. previous studies have shown that injection-rate profiles and injector configurations play important roles on the performance and emissions of particulate and nox in di diesel engines. since the most important engine design parameters, includi...