Fine airborne particulate matter (PM2.5) has adverse effects on human health. Assessing the long-term effects of PM2.5 exposure on human health and ecology is often limited by a lack of reliable PM2.5 measurements. In Taipei, PM2.5 levels were not systematically measured until August, 2005. Due to the popularity of geographic information systems (GIS), the landuse regression method has been wid...

The purpose of this study is to evaluate the spatial changes of groundwater nitrate concentrations by using geostatistical methods based on data from 119 groundwater wells. Geostatistical methods have been used widely as a convenient tool to make decision on the management of behavior of hydrochemical parameters in groundwater. To evaluate the spatial changes nitrate concentrations in groundwat...

Ore grade is one of the main variables that characterise an orebody. Almost every mining project begins with the determination of ore grade distribution in three-dimensional space, a problem often reduced to modelling the spatial variability of ore grade values. So far, this has been achieved following the geostatistical approach, and more precisely, it’s main process of structural analysis. St...

The nitrogen dioxide is a primary pollutant, regarded for the estimation of the air quality index, whose excessive presence may cause significant environmental and health problems. In the current work, we suggest characterizing the evolution of NO2 levels, by using geostatistical approaches that deal with both the space and time coordinates. To develop our proposal, a first exploratory analysis...

The climatic reference values for monthly and annual average air temperature and total precipitation in Catalonia – northeast of Spain – are calculated using a combination of statistical methods and geostatistical techniques of interpolation. In order to estimate the uncertainty of the method, the initial dataset is split into two parts that are, respectively, used for estimation and validation...

Conventional geostatistical methodology solves the problem of predicting the realized value of a linear functional of a Gaussian spatial stochastic process S…x) based on observations Yi ˆ S…xi † ‡ Zi at sampling locations xi , where the Zi are mutually independent, zero-mean Gaussian random variables. We describe two spatial applications for which Gaussian distributional assumptions are clearly...

in many urban areas, groundwater has been exploited neglecting to wet and dry periods owing to of surface water deficit. in this study, using the percent of normal rainfall index, 36 year (1971-2008) were studied and a drought event and a wet event were determined. the reason to choose two consecutive years is the effect of early wet period on groundwater quality. physicochemical characteristic...

In many urban areas, groundwater has been exploited neglecting to wet and dry periods owing to of surface water deficit. In this study, using the percent of normal rainfall index, 36 year (1971-2008) were studied and a drought event and a wet event were determined. The reason to choose two consecutive years is the effect of early wet period on groundwater quality. Physicochemical characteristic...