background : noise pollution and workers' noise exposure are common in industrial factories in iran. in order to reduce this noise pollution, evaluation and investigation of noise emission are both necessary. in this study, different noise mapping methodsare used for determining the distribution of noise.   materials and methods : in the present study, for preparing a noise map in a hall o...

The paper addresses the problem of urban road noise, in context European legislative requirements regarding noise pollution. second mapping Pitesti city, revealed that despite proposed action plan after first mapping, pollution increased instead decreasing. Considering measures were insufficient to control conditions estimated increase traffic, authors developed complex research identify how le...

Three-dimensional mapping of atmospheric atomic mercury has been performed with lidar techniques, to our knowledge, for the first time. Industrial pollution monitoring, as well as measurements of background concentrations, is reported. High-efficiency frequency doubling of narrowband pulsed dye laser radiation was employed to generate intense radiation at the mercury UV resonance line. Field me...

Nowadays machine learning (ML), including Artificial Neural Networks (ANN) of different architectures and Support Vector Machines (SVM), provides extremely important tools for intelligent geoand environmental data analysis, processing and visualisation. Machine learning is an important complement to the traditional techniques like geostatistics. This paper presents a review of several contempor...

Monitoring atmospheric pollution in urban areas frequently involves mapping techniques that assist the researcher and/or the decision-maker to describe and quantify the pollution at locations where no measurements are available. The preparation of these pollution maps is a complex task, which is only feasible if a spatial correlation of the variable of interest is identified. Furthermore, the s...

Predicting air pollution is an important prerequisite for estimating, monitoring and mapping unknown pollution values. We can use fuzzy spatial prediction techniques to determine pollution concentration areas in practical situations where our observations are imprecise and vague. Fuzzy membership kriging with a semi-statistical membership function is an example of this type of technique. The im...

Many frequent and severe air pollution incidents have emerged across the vast parts of China recently. The identification of factors and mapping social vulnerability has become extremely necessary for environmental management and sustainable development. However, studies associating social vulnerability with air pollution remain sparse. With reference to research achievements of social vulnerab...

Land use regression (LUR) modelling is a common approach used in European and Northern American epidemiological studies to assess urban and traffic related air pollution exposures. Studies applying LUR in Africa are lacking. A need exists to understand if this approach holds for an African setting, where urban features, pollutant exposures and data availability differ considerably from other co...