Sentence examples for forecast of concentrations from inspiring English sources

In recent time, there have been many attempts to analyze the concentration of air pollutants and explore them to build short-term forecast of concentrations.

Because of its characteristics, the proposed model seems suitable for real time forecast of pollutant concentrations when an emergency event occurs, or for water quality management in real rivers.

An accurate forecast of the concentration of fine dust in the atmosphere is critical because of the negative public health impacts associated with high concentrations of particulate matter.

Many works have been carried out to determine the factors which control NO x and NO2 concentrations in order to enable the development of tools to aid in the forecasting of pollutant concentrations.

Finally, forecasts of PM concentrations, using similar methods and version 5 of CMAQ, will be the subject of future work.

BlueSky has produced publicly available forecasts of PM2.5 concentrations from wildfires up to 60 hr in advance since 2010.

Further research is needed over a longer period of time to forecast the concentrations of hemoglobin and other hematological measurements to better estimate the impact of this public health intervention and see if increasing food supplementation would be beneficial at this point in time after the accident.

Different cost functions correspond to different distributional assumptions regarding the data, the appropriate choice depends on whether a forecast of absolute pollutant concentration or prediction of exceedence events is of principle importance.

Thus, the second objective concerns the short-term forecasting of ozone concentration based on a neural network method.

Comparison of these results to those of the Global Fire Emissions Database (GFEDv2) indicate strong linear relationships (r² > 0.9), suggesting that the timely FRP data available from a GOES real-time data feed is likely to be a suitable fire emissions source strength term for inclusion in schemes aiming to forecast the concentrations of atmospheric constituents affected by biomass burning.

This paper presents a study where a parallel genetic algorithm (GA) is used for selecting the inputs and designing the high-level architecture of a multi-layer perceptron model for forecasting hourly concentrations of nitrogen dioxide at a busy urban traffic station in Helsinki.