This paper applies a novel Kriging model to the interpolation of stochastic simulation with high computational expense. The novel Kriging model is developed by using Taylor expansion to construct a drift function for Kriging, thus named Taylor Kriging. The interpolation capability of Taylor Kriging for stochastic simulation is empirically compared with those of Simple Kriging and Ordinary Krigi...

Corrosion in general is a complex interaction between water and metal surfaces and materials in which the water is stored or transported. Water quality monitoring in terms of corrosion and scaling is crucial, and a key element of preventive maintenance, given the economic and health hurts caused by corrosion and scaling in water utilities. The aim of this study is to determine the best model fo...

Resources/reserves classification is crucial for block model creation utilised in mine planning and feasibility study. Selection of estimation methods is an essential part of mineral exploration and mining activities. In other word, resources classification is an issue for mining companies, investors, financial institutions and authorities, but it remains subject to some confusion. The aim of t...

ABSTRACT Decision makers will in an emergency situation often be interested in predictions of harmful environmental variables relative to a certain threshold. We are therefore examining the robustness of different methods which are supposed to give unbiased estimates relative to such a threshold, both for point predictions and areal averages. We are also interested in exceedance probabilities. ...

Abstract The presence of an economical solution to predict soil behaviour is essential for new construction areas. This paper aims investigate the ultimate interpolation method predicting bearing capacity An-Najaf city-Iraq based on field investigation information. Firstly, engineering was calculated in-site N-SPT values using dynamic loading 464 boreholes with depths 0–2 m, Meyerhof formula. d...

Interpolating scattered data points is a problem of wide ranging interest. One of the most popular interpolation methods in geostatistics is ordinary kriging. The price for its statistical optimality is that the estimator is computationally very expensive. We demonstrate the space and time efficiency and accuracy of approximating ordinary kriging through the use of covariance tapering combined ...

We have developed a domain agnostic ordinary kriging algorithm accessible via a standardsbased service-oriented architecture for sensor networks. We exploit the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) standards. We need on-demand interpolation maps so runtime performance is a major priority. Our sensor data comes from wind in-situ observation stations in an area approximate...

Environment pollution is a major problem in developing countries these days. Air pollution in particularis a cause of many diseases.In the present study an attempt has been made to map the pollution areas of Agra and predict the pollution at unsampled location.For this thirty places of Agra are selected for collectingair samples.Geographic Information System (GIS) and Kriging (Ordinary Kriging)...

Phosphorus enrichment has been of major concern in the Greater Everglades (GE) ecosystem since the early 1980s. Our objectives were to estimate spatio–temporal patterns of soil total phosphorus (TP) in Water Conservation Area 2A (WCA-2A) in the GE ecosystem and to compare two different geostatistical methods: ordinary kriging (OK) and conditional sequential Gaussian simulation (CSGS), addressin...

groundwater is the main water resource for domestic and agricultural uses in iran. so real-time mapping of groundwater depth can guide to have a proper exploitation of groundwater. this study was conducted to investigate the spatial variability of depth to groundwater in barkhar plain in esfahan using geostatistical methods. in this regard, the measurements of groundwater depth between july and...