Due to scientific interest on the one hand and political and regulatory obligations on the other hand the monitoring of ozone in the troposphere is an important issue. To this end, in Belgium as in many other countries, a fixed network of monitoring stations is operated. In order to estimate the ozone concentrations over the whole territory, a model is needed to spatially complement the sparse ...

In this study, a spatiotemporal estimation method based on Funk singular value decomposition (F-SVD) that considers the correlation of rainfall is proposed to improve estimations from gauge observations. Hourly data several flood events are selected verify by comparing with Inverse Distance Weighting (IDW) and Ordinary Kriging (OK) in Hanjiang basin, China. The results show (1) F-SVD has best p...

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 (...

Unbalanced regional development is an inevitable trend in the of all countries world. The rapid Internet Things (IoT) technology has created tools for study issues. IoT many advantages and thus owns a very wide range applications. This paper makes use geographic information system (GIS) technology, which can be viewed as one sensing information. Changes spatial economic differences space evolut...

rainfall erosivity is the ability of rainfall to detach the soil particles. this study was conducted to evaluate spatial variability of rainfall erosivity indices in khouzestan province. the point data of indices (ei30, aim, ke>1 and onchev indices) in 74 stations were used to generate spatial erosivity maps through deterministic and geostatistical interpolation methods (radial basis functions,...

  Introduction: Ordered subset expectation maximization (OSEM), is an effective iterative method for SPECT image reconstruction. The aim of this study is the evaluation of the role of system matrix in OSEM image reconstruction method using four different physical beam radiation models with three detection configurations. Methods: SPECT was done with an arc of 180 deg...

The concept of spatial interpolation is important in the soil sciences. However, the use of a single global interpolation model is often limited by certain conditions (e.g., terrain complexity), which leads to distorted interpolation results. Here we present a method of adaptive weighting combined environmental variables for soil properties interpolation (AW-SP) to improve accuracy. Using vario...

pendence between measurements at different locations. Methods currently in use include kriging, inverse-disSpatial interpolation methods are frequently used to characterize tance weighting, and thin-plate smoothing splines, and patterns in soil properties over various spatial scales provided that the data are abundant and spatially dependent. Establishing these one can use numerous approaches w...