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Carlos Yasojima, João Protázio, Bianchi Meiguins, Nelson Neto and Jefferson Morais
Kriging is a geostatistical interpolation technique that performs the prediction of observations in unknown locations through previously collected data. The modelling of the variogram is an essential step of the kriging process because it drives the accu...
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Jinliang Zhang, Longlong Liu and Ruoshan Wang
In this study, three-dimensional (3-D) geostatistical models were constructed to quantify distributions of sandstone and mudstone. We propose a new method that employs weight coefficients to balance the sandstone and mudstone data from irregular well pat...
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Aimei Zhao, Zhengqiang Li, Ying Zhang, Yang Zhang and Donghui Li
With the rapid development of the economy and society, fine particulate matter (PM2.5) has not only caused severe environmental problems, but also posed a threat to public health. In order to improve the estimated accuracy of PM2.5, the input data fine m...
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Lianfa Li, Jiehao Zhang, Wenyang Qiu, Jinfeng Wang and Ying Fang
Although fine particulate matter with a diameter of <2.5 µm (PM2.5) has a greater negative impact on human health than particulate matter with a diameter of <10 µm (PM10), measurements of PM2.5 have only recently been performed, and the spatial cov...
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Michael Hewson, Hamish McGowan, Stuart Phinn, Steven Peckham and Georg Grell
The majority of studies assessing aerosol effects on rainfall use coarse spatial scale (1° latitude/longitude or more) and multi-seasonal or decadal data sets. Here, we present results from a spatial correlation of aerosol size distribution and rain rate...
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