Abstract This study aims to assess the urban air quality, and map NO 2 , SO PM 10 profiles using two widely spatial interpolation methods, ordinary kriging (OK) inverse distance weighting (IDW) by estimating their concentrations at distinct non-monitored locations. Assessment mapping of pollutants in this help with policy formulation decision-making. Kota, industrial educational hub Rajasthan (...

accurate analysis and interpolation of heavy metals, especially arsenic concentrationin ground watercan play a significant role in planning and continuous monitoring of water resources. the analysis may also prevent human health issues.the purpose of this paper was to evaluate newly published sugeno type fuzzy inference system as an interpolation method for estimating the amount of arsenic in k...

As being an essential tool for estimating spatial continuous data, interpolation methods have been applied to various disciplines concerned with the Earth’s surface. In the paper, six spatial interpolation algorithms, including an internationally popular ANUDEM method and five other commonly used interpolation methods, were applied in three different landform regions, that is, hills, mountains ...

This study correlated lung cancer (LC) mortality with statistical data obtained from government public databases. In order to asses a relationship between LC deaths and radon accumulation in dwellings, indoor radon concentrations were measured with passive detectors randomly distributed in Chihuahua City. Kriging (K) and Inverse-Distance Weighting (IDW) spatial interpolations were carried out. ...

In this paper, we implement and compare the accuracy of ordinary kriging, lognormal ordinary kriging, inverse distance weighting (IDW) and splines for interpolating seasonally stable soil properties (pH, electric conductivity and organic matter) that have been demonstrated to affect yield production. The choice of the exponent value for IDW and splines as well as the number of the closest neigh...

Accurate rainfall data are essential for environmental applications in the actual assessment of geographical distribution rainfall. Interpolation methods usually applied to monitor spatial data. There many interpolation methods, but none them can achieve all cases best results. In this study, three different were investigated with regard their suitability producing a distribution. Rainfall from...

As basic data, the reliability of precipitation data makes a significant impact on many results of environmental applications. In order to obtain spatially distributed precipitation data, measured points are interpolated. There are many spatial interpolation schemes, but none of them can perform best in all cases. So criteria of precision evaluation are established. This study aims to find an o...