Article
Environmental Sciences
Pradip Kumar Maurya, Sk Ajim Ali, Syed Kashif Zaidi, Samina Wasi, Shams Tabrez, Lal Chand Malav, Pakorn Ditthakit, Cao Truong Son, Marina M. S. Cabral-Pinto, Krishna Kumar Yadav
Summary: The quality of groundwater in the Jaunpur district of Uttar Pradesh, which is the only source of water for drinking and irrigation, has been poorly studied. This study evaluated the groundwater's suitability for drinking and irrigation using various chemical parameters. The findings revealed that most of the groundwater samples had high levels of EC, TDS, and TH, indicating unsuitability for drinking and irrigation. The study suggests that the groundwater in the area should be treated before drinking. However, it is suitable for irrigation.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Mohamed A. E. AbdelRahman, Yasser M. Zakarya, Mohamed M. Metwaly, Georgios Koubouris
Summary: Detailed knowledge of soil properties is crucial for optimizing agricultural practices. Different geostatistical methods were used to study the spatial variability of soil properties in a reclaimed area of Egypt, showing that Inverse Distance Weighting (IDW) was more efficient than Kriging for mapping soil properties.
Article
Environmental Sciences
Boguslaw Usowicz, Jerzy Lipiec, Mateusz Lukowski, Jan Slominski
Summary: The study assessed three geostatistical methods for spatial interpolation of quarterly and monthly precipitations in Poland and nearby areas, with ordinary cokriging (OCK) showing the best predictive performance.
Article
Environmental Sciences
Istvan Kocsis, Ioan-Aurel Irimus, Cristian Patriche, Stefan Bilasco, Narcis Maier, Sanda Rosca, Danut Petrea, Blanka Bartok
Summary: This study validates a conditional merging technique (CMT) for rainfall data in small catchments. The technique combines radar data and rain gauge measurements to derive accurate precipitation fields. The results show that the CMT performs well in predicting rainfall amounts in most cases.
Article
Chemistry, Multidisciplinary
Filomena Loffredo, Irene Opoku-Ntim, Maria Quarto
Summary: The research presents an innovative method for constructing interpolated maps of radon concentration using the Gini index and kriging, which has been shown to effectively predict the distribution of radon concentration. The study demonstrates the spatial link between radon readings and geological characteristics, highlighting the importance of analyzing local geology in assessing and mitigating radon exposure risk.
APPLIED SCIENCES-BASEL
(2021)
Article
Soil Science
Ladan Heydari, Hossein Bayat, Fereydoon Sarmadian
Summary: Photosynthetic gas exchange indices can be used to assess spatial variation of crop growth and yield on the field. This study evaluated the spatial relationships between soil water retention curve parameters, soil properties, and photosynthetic gas exchange indices in a wheat field. The results showed that soil variables explained a large part of the total variation in photosynthetic rate and gas exchange parameters. The study also highlighted the potential use of interpolated maps to inform site-specific management decisions and improve wheat yield.
SOIL & TILLAGE RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Vishal Raul, Leifur Leifsson
Summary: This work proposes a multifidelity modeling approach to mitigate adverse characteristics of airfoil dynamic stall through aerodynamic shape optimization (ASO). The approach combines data from high-fidelity and low-fidelity computational fluid dynamics simulations to efficiently determine an optimum airfoil shape. The proposed approach not only delays the dynamic stall angle but also reduces the peak values of the aerodynamic coefficients compared to the baseline airfoil. Moreover, it achieves a better design with less computational time compared to the HF-KR approach.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Geosciences, Multidisciplinary
Ali Keshavarzi, Henry Oppong Tuffour, Eric C. Brevik, Gunes Ertunc
Summary: Understanding how topography affects soil properties is crucial in landscape management, this study used various interpolation techniques and fractal analysis to assess this impact. Elevation was found to be the most influential covariate in predicting soil properties. The results showed high accuracy in predicting soil property distribution maps, with short range spatial variability and weak correlations observed.
Article
Geosciences, Multidisciplinary
Maan Habib
Summary: The emergence of modern geospatial techniques has significantly transformed data processing tools, allowing DEMs to be widely used in environmental science and engineering. This research compares deterministic interpolation methods with geostatistical techniques to analyze the relationship between terrain roughness and DEM quality.
Article
Environmental Sciences
Carla Stadler, Victoria S. Fuse, Santiago Linares, Paula Juliarena
Summary: Interpolation methods are used to predict atmospheric methane concentration means in an urban area. Two deterministic and two stochastic methods were applied to analyze the metric errors and the impact of adding more sampling sites. The results showed that the stochastic methods had the lowest root-mean-square error and adding more sampling sites improved the accuracy of predictions.
Article
Environmental Sciences
Annamaria Castrignano, Antonella Belmonte, Ilaria Antelmi, Ruggiero Quarto, Francesco Quarto, Sameh Shaddad, Valentina Sion, Maria Rita Muolo, Nicola A. Ranieri, Giovanni Gadaleta, Edoardo Bartoccetti, Carmela Riefolo, Sergio Ruggieri, Franco Nigro
Summary: Xylella fastidiosa, a destructive plant pathogenic bacteria, is causing severe disease in olive trees in Apulia, Italy. This study aims to provide probabilistic maps of Xfp infection risk through data fusion of remote and proximal sensor data. The approach allows mapping areas with higher infection risk and identifying possible infection entry routes.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Engineering, Chemical
Huiqiong Qu, Hualiang Liu, Kaixuan Tan, Qinglin Zhang
Summary: The study uses eight interpolation methods in the Groundwater Modeling System (GMS) to predict the spatial distribution of reserve-related parameters in uranium mines. The results show that the spherical interpolation method has the best effect and the smallest relative error compared to traditional calculation. The number of interpolation grids is related to the actual number of boreholes, and different interpolation methods have different degrees of influence on reserve estimation. Further research is needed to improve the accuracy of estimation by considering the heterogeneity of three-dimensional space.
Article
Computer Science, Interdisciplinary Applications
Hamed Amini, Afshin Ashrafzadeh, Mohammadreza Khaledian
Summary: This study investigates the effectiveness of combining GMDH models and Kriging to reduce errors in groundwater salinity estimation. The findings suggest that expanding datasets can enhance the accuracy of estimating water quality variables.
EARTH SCIENCE INFORMATICS
(2023)
Article
Environmental Sciences
M. Valikhan Anaraki, F. Mahmoudian, F. Nabizadeh Chianeh, S. Farzin
Summary: In this study, a new approach that combines interpolation method with computation-based technique is introduced for modeling and optimizing the removal of RO7 dye from synthetic wastewater. The combination of data mining algorithms and optimization algorithm is used to improve the accuracy and efficiency of the removal process.
JOURNAL OF ENVIRONMENTAL INFORMATICS
(2022)
Article
Environmental Sciences
M. Valikhan Anaraki, F. Mahmoudian, F. Nabizadeh Chianeh, S. Farzin
Summary: In this study, a new approach that combines interpolation and computation-based techniques is introduced for modeling and optimizing the removal of RO7 dye from synthetic wastewater. The approach uses data mining algorithms and an optimization algorithm to model the removal process and predict optimal conditions. The interpolation methods of kriging and inverse distance weight are applied to generate more data and improve the accuracy of the models. The results show that the introduced approach performs well in modeling the removal process and predicting optimal conditions when the experimental data set is limited.
JOURNAL OF ENVIRONMENTAL INFORMATICS
(2022)
