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Hosang Han and Jangwon Suh
The accurate prediction of soil contamination in abandoned mining areas is necessary to address their environmental risks. This study employed a combined model of machine learning and geostatistics to predict the spatial distribution of soil contaminatio...
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Nattakan Supajaidee, Nawinda Chutsagulprom and Sompop Moonchai
Ordinary kriging (OK) is a popular interpolation method for its ability to simultaneously minimize error variance and deliver statistically optimal and unbiased predictions. In this work, the adaptive moving window kriging with K-means clustering (AMWKK)...
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Seungwoog Jung, Seungwan Han and Hoon Choi
The comprehensive and accurate assessment of the indoor air quality (IAQ) in large spaces, such as offices or multipurpose facilities, is essential for IAQ management. It is widely recognized that various IAQ factors affect the well-being, health, and pr...
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Djouhaina Brella, Lazhar Belkhiri, Ammar Tiri, Hichem Salhi, Fatma Elhadj Lakouas, Razki Nouibet, Adeltif Amrane, Ryma Merdoud and Lotfi Mouni
In this study, we analyzed the quality and the potential noncarcinogenic health risk of nitrate in groundwater in the El Milia plain, Kebir Rhumel Basin, Algeria. Moran?s I and the ordinary kriging (OK) interpolation technique were used to examine the sp...
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Mara Meggiorin, Giulia Passadore, Silvia Bertoldo, Andrea Sottani and Andrea Rinaldo
This study compares three imputation methods applied to the field observations of hydraulic head in subsurface hydrology. Hydrogeological studies that analyze the timeseries of groundwater elevations often face issues with missing data that may mislead b...
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Ren Nishimura, Norman L. Jones, Gustavious P. Williams, Daniel P. Ames, Bako Mamane and Jamila Begou
Accurate characterization of groundwater resources is required for sustainable management. Due to the cost of installing monitoring wells and challenges in collecting and managing in situ data, groundwater data are sparse?especially in developing countri...
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Emanuele Alcaras, Pier Paolo Amoroso and Claudio Parente
In relation to 3D bathymetric modelling, this article aims to analyze the performance of Kriging approaches in dependence of the location and density of the measured depth points. The experiments were carried out on a multi-beam sonar (MBS) dataset that ...
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Craig Heatherington, Alistair Grinham, Irene Penesis, Scott Hunter and Remo Cossu
Marine renewable energy is still in its infancy and poses serious challenges due to the harsh marine conditions encountered for wave or tidal installations and the survivability of devices. Geophysical and hydrodynamic initial site surveys need to be abl...
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Yong Sun, Fengxiang Jin, Yan Zheng, Min Ji and Huimeng Wang
Severe air pollution problems have led to a rise in the Chinese public?s concern, and it is necessary to use monitoring stations to monitor and evaluate pollutant levels. However, monitoring stations are limited, and the public is everywhere. It is also ...
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Yeboah Gyasi-Agyei
Rain gauges continue to be sources of rainfall data despite progress made in precipitation measurements using radar and satellite technology. There has been some work done on assessing the optimum rain gauge network density required for hydrological mode...
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Pavlína Netrdová, Vojtech Nosek and Pavol Hurbánek
When working with regional data from different countries, issues concerning data comparability need to be solved, including regional comparability. Differing regional unit size is a common issue which influences the results of socio-economic analyses. In...
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Javier López Gómez, Francisco Troncoso Pastoriza, Enrique Granada Álvarez and Pablo Eguía Oller
Mapping of meteorological conditions surrounding road infrastructures is a critical tool to identify high-risk spots related to harsh weather. However, local or regional data are not always available, and researchers and authorities must rely on coarser ...
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Stefanos Stefanidis and Dimitrios Stathis
In this study, the authors evaluated the spatial and temporal variability of rainfall over the central Pindus mountain range. To accomplish this, long-term (1961–2016) monthly rainfall data from nine rain gauges were collected and analyzed. Seasona...
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Panagiotis Tziachris, Eirini Metaxa, Frantzis Papadopoulos and Maria Papadopoulou
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Xiaoxiao Zhang, Guodong Liu, Hantao Wang and Xiaodong Li
In this paper, we applied the support vector machine (SVM) to the spatial interpolation of the multi-year average annual precipitation in the Three Gorges Region basin. By combining it with the inverse distance weighting and ordinary kriging method, we c...
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Xiaoxiao Zhang, Guodong Liu, Hantao Wang, Xiaodong Li
Pág. 1 - 21
In this paper, we applied the support vector machine (SVM) to the spatial interpolation of the multi-year average annual precipitation in the Three Gorges Region basin. By combining it with the inverse distance weighting and ordinary kriging method, we c...
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Fang Huang, Shuanshuan Bu, Jian Tao and Xicheng Tan
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Kanok-Nukulchai Worsak,Wong F.T.,Sommanawat W.
Pág. 152 - 157
In standard FEM, the stiffness of an element is exclusively influenced by nodes associated with the element via its element-based shape functions. In this paper, the authors present a method that can be viewed as a generalization of FEM for which the inf...
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F. T. Wong,W. Kanok-Nukulchai
Pág. pp. 15 - 22
An enhancement of the finite element method with Kriging shape functions (K-FEM) was recently proposed. In this method, the field variables of a boundary value problem are approximated using ?element-by-element? piecewise Kriging interpolation (el-KI). F...
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Michael O?Connor, Matt Zabik, Carol Cady, Brian Cousens and Jeffrey Chiarenzelli
Samples from private wells (n = 169) throughout St. Lawrence County, NY were analyzed by ICP-MS multi-element techniques. St. Lawrence County spans three diverse bedrock terranes including Precambrian crystalline rocks of the Adirondack Lowlands (mostly ...
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