نتایج جستجو برای: pollution mapping
تعداد نتایج: 267410 فیلتر نتایج به سال:
Detecting the spatial distribution of dust storms in the deposition regions is an essential step for managing this natural and human-induced crisis. This study aimed to investigate the performance of the Normalized Differences Dust Index (NDDI) applied to MODIS data (4/7/2009) for detection of dust storms in the Khuzestan Province. The extracted NDDI map was classified by value pixel in six cla...
In recent years, geotagged social media has become popular as a novel source for geographic knowledge discovery. Ground-level images and videos provide a different perspective than overhead imagery and can be applied to a range of applications such as land use mapping, activity detection, pollution mapping, etc. The sparse and uneven distribution of this data presents a problem, however, for ge...
The mapping of air quality over the city of Strasbourg and its vicinity requires an increase of the number of measurements aiming at spatializing information about air pollutants concentrations. A methodology based on a multisource approach for mapping air pollutants concentrations over the city was presented in previous communications. One step of the methodology is the estimation of pollutant...
Airborne dust, which contains high levels of toxic metals, is recognized as one of the most harmful environment component. The purpose of this study was to evaluate heavy metals pollution in dustfall from bus stations in Beijing, and to perform a risk assessment analysis for adult passengers. The concentrations of Cd, Co, Cr, Cu, Mo, Ni, Pb, V and Zn were determined by inductively coupled plasm...
In the paper methods aimed at handling high-dimensional weather forecasts data used to predict the concentrations of PM10, PM2.5, SO2, NO, CO and O3 are being proposed. The procedure employed to predict pollution normally requires historical data samples for a large number of points in time – particularly weather forecast data, actual weather data and pollution data. Likewise, it typically invo...
ARTICLE INFO ABSTRACT Keywords: Air pollution Meteorological variables Artificial neural networks Self-Organizing Maps (SOM) Clustering Salamanca is cataloged as one of the most polluted cities in Mexico. In order to observe the behavior and clarify the influence of wind parameters on the Sulphur Dioxide (S0 2) concentrations a Self-Organizing Maps (SOM) Neural Network have been implemented at ...
[1] Severe smog episodes over China in January 2013 received worldwide attention. This air pollution was distinguished by heavy loadings of fine particulate matter and SO2. To characterize these episodes, we employed the Ozone Mapping and Profiler Suite, Nadir Mapper (OMPS NM), an ultraviolet (UV) spectrometer flying on the Suomi National Polar-orbiting Partnership (SNPP) spacecraft since Octob...
In the past two decades, the heavy environmental loading has led to the deterioration of air quality in Taiwan. The task of controlling and improving air quality has attracted a great deal of national attention. The Taiwanese government has since set up the National Air Quality Monitoring Network (TAQMN) to monitor nationwide air quality and adopted an array of measures to combat this problem. ...
Background and Objectives: Annually about 7 million premature deaths occur due to air pollution in the world. Nitrogen oxides are among major air pollutants. Although many foreign exposure assessment studies have been carried out, Iranian studies are limited to primary analyses. Hence, in this research, we studied spatial variation of nitrogen oxides using spatiotemporal modeling in Tehran 2014...
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