Article
Geosciences, Multidisciplinary
Sunshine A. Caires, Chaney St Martin, Mark N. Wuddivira, Kegan K. Farrick, Bernie J. Zebarth
Summary: As climate changes, water scarcity has become a major global concern. This study compared different regression models and geospatial models for predicting soil depth, and found that the cokriging model performed the best in a humid tropical watershed. Therefore, using this model can improve the accuracy of hydrological models for watershed management.
Review
Environmental Sciences
Keumseok Koh, Ayaz Hyder, Yogita Karale, Maged N. Kamel Boulos
Summary: This study conducted a systematic narrative review to understand the usage of big geospatial sensing data, ancillary data, and spatial data infrastructures in public health studies. The study found that geospatial big data has been inconsistently used in existing studies, with a focus on the public health field. The research also highlighted the importance of interdisciplinary collaboration to fully utilize geospatial big data in future public health studies.
Article
Environmental Sciences
Bulent Yaniktepe, Osman Kara, Ilyas Aladag, Cenk Ozturk
Summary: This study analyzes the wind measurement data in Osmaniye, Turkey to determine the wind characteristics and wind energy potential of the region. The suitability of the two-parameter Weibull distribution model is evaluated, and it was found that the modified maximum likelihood method is the most reliable. The graphical method performs the worst in comparison.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Biodiversity Conservation
T. Mendo, G. Glemarec, J. Mendo, E. Hjorleifsson, S. Smout, S. Northridge, J. Rodriguez, A. Mujal-Colilles, M. James
Summary: With increasing competition for marine space, it is important to develop appropriate indicators to represent the use and value derived from marine areas. Fishers, the largest group of users, are often not adequately considered in marine spatial planning. Highly-resolved vessel tracking data can provide detailed information on fishing activities. While most effort mapping methods focus on active gears in large scale fisheries, our study shows that spatial indicators outperform time-at-sea as an indicator of fishing effort in small-scale fisheries using passive gears. This research has important implications for fisheries management, as passive gears account for a significant portion of global catches.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Durga Prasad Panday, Manish Kumar
Summary: This work comprehensively reviews the various large-scale climate indices used for analyzing hydrological extremes in India, as well as the non-linear models utilizing long-term precipitation data and global climate indices for predictions. The study finds that global atmospheric phenomena perform better than traditional geospatial models in predicting precipitation extremes in India. Furthermore, the use of large-scale climate indices for predicting local hydrological dynamics is steadily increasing. The research concludes that wavelet-based non-linear models are a better fit for predicting hydrological extremes in India.
ENVIRONMENTAL RESEARCH
(2022)
Article
Environmental Sciences
Shanshan Zhao, Yundi Jiang, Wenping He, Ying Mei, Xiaoqiang Xie, Shiquan Wan
Summary: Detrended fluctuation analysis (DFA) is used to quantify long-range correlation and fractal scaling behavior of a signal. This study compared different DFA methods and found that the 6th order method performed best in terms of accuracy and computational cost. A new alternative DFA method was proposed that uses a best-fit polynomial algorithm to quantify the long-range correlation exponent in each segment. Numerical studies showed that this method outperformed regular DFA, particularly for time series with a scaling exponent smaller than 0.5.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Studies
Mila Koeva, Mohammed Imaduddin Humayun, Christian Timm, Claudia Stocker, Sophie Crommelinck, Malumbo Chipofya, Rohan Bennett, Jaap Zevenbergen
Summary: The well-recognized and extensive task of mapping unrecorded land rights across sub-Saharan Africa demands innovative solutions. In response, the consortia of its4land, a European Commission Horizon 2020 project, developed, adapted, and tested innovative geospatial tools in order to improve land administration in specific African countries. Through the platform Publish and Share (PaS), these tools can be integrated and shared, highlighting the importance of interoperability and recognized standards in technical approaches for land administration.
Article
Thermodynamics
Marta Braulio-Gonzalo, Maria D. Bovea, Andrea Jorge-Ortiz, Pablo Juan
Summary: This study aims to determine the best-fit response variable for modeling household energy consumption and investigates the influence of household-related variables on energy use. The results reveal that the socio-economic profile of occupants plays the most influential role in energy consumption, and including occupation as a factor in the energy indicator notably contributes to improving the model.
Article
Computer Science, Artificial Intelligence
Deepayan Chakrabarti
Summary: The RoLin algorithm, which combines top principal components with robust optimization, does not require user choice of norms and is applicable to various loss functions, outperforming dimensionality reduction and regularization.
Article
Astronomy & Astrophysics
A. Samajdar, G. M. Shaifullah, A. Sesana, J. Antoniadis, M. Burgay, S. Chen, I Cognard, L. Guillemot, M. Kramer, J. W. McKee, M. B. Mickaliger, G. Theureau, E. Van der Wateren
Summary: This study focuses on searching for a nano-Hertz gravitational wave background signal using pulsar timing data. Although no definite evidence has been found yet, the researchers expect to make a statistically significant detection in the future with more data. The study compares different sampling algorithms and proposes two robustness checks for the data.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Article
Environmental Sciences
Przemyslaw Klapa, Pelagia Gawronek
Summary: Building Information Modeling (BIM) is becoming more widely used for creating models of newly constructed facilities. However, creating high-quality BIM models for existing objects, especially Cultural Heritage (CH), depends on the quality of the data used for modeling. This article explores the use of spatial data combined with Terrestrial Laser Scanning (TLS) and Unmanned Aerial Vehicle (UAV) data to create BIM models for CH objects. The study emphasizes the importance of accurate measurement information and integration of different data groups in developing the HBIM model.
Article
Automation & Control Systems
Andrea Bisoffi, Claudio De Persis, Pietro Tesi
Summary: In this paper, a method for designing a controller for unknown linear systems is proposed. By using noisy input-state data from finite-length experiments, the controller ensures the robust invariance of a given polyhedral state set in the presence of disturbances. The main result provides a necessary and sufficient condition for the existence of such a controller, which can be solved using linear programming. The benefits of utilizing large and rich datasets for solving the problem are discussed. The method is numerically demonstrated on a simplified platoon of two vehicles.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Anne Koch, Julian Berberich, Frank Allgoewer
Summary: This article presents a framework for verifying dissipativity properties from measured data. The article provides computationally attractive conditions for input-state measurements and input-output data, and presents results for the case of noisy input-output trajectories.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Chemistry, Analytical
Pratyusa Mukherjee, Hitendra Garg, Chittaranjan Pradhan, Soumik Ghosh, Subrata Chowdhury, Gautam Srivastava
Summary: DNA (Deoxyribonucleic Acid) Cryptography combines biology and mathematics to encode information in DNA sequences. This paper proposes a Genetic Algorithm method to strengthen weak keys obtained from Random DNA-based Key Generators. By using fitness functions and genetic operators, the paper demonstrates that with each new population, the key space becomes more exhaustive and less prone to attacks.
Article
Environmental Sciences
Yongjing Mao, Daniel L. Harris, Zunyi Xie, Stuart Phinn
Summary: Coastal geomorphic classification is crucial for identifying the depositional environment along coastlines. Previous methods relied heavily on manual efforts and expert opinions, which limited their application at a global scale. In this study, satellite images and digital elevation models were used to classify coastal geomorphology on a global scale. The incorporation of shape descriptors extracted from shoreline vector data improved the accuracy of the classification. The output dataset can be used for various coastal management purposes.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Hossam Osman, Gavin H. Graham, Arthur Moncorge, Carl Jacquemyn, Matthew D. Jackson
Summary: The study investigates the impact of removing cell-to-cell variability on predictions of fluid flow in reservoir models. It finds that capturing flow does not necessarily require cell-to-cell variability, but rather the spatially correlated variability in petrophysical properties is key. Reservoir modeling efforts should focus on capturing correlated geologic domains in a realistic and computationally efficient manner.
MATHEMATICAL GEOSCIENCES
(2021)
Article
Computer Science, Interdisciplinary Applications
A. Yekta, P. Salinas, S. Hajirezaie, M. A. Amooie, C. C. Pain, M. D. Jackson, C. Jacquemyn, M. R. Soltanian
Summary: This paper introduces a numerical simulator, IC-FERST-REACT, for solving compositional multiphase flow and reactive transport problems. The simulator effectively couples IC-FERST with PHREEQCRM to simulate complex hydrogeological, biological, chemical, and mechanical processes including CO2 geological sequestration. Model coupling is achieved through an efficient API to reduce computational costs and capture flow instabilities. Benchmark examples demonstrate the capability of IC-FERST-REACT in solving multiphase flow and reactive transport.
COMPUTATIONAL GEOSCIENCES
(2021)
Article
Geosciences, Multidisciplinary
Carl Jacquemyn, Margaret E. H. Pataki, Gary J. Hampson, Matthew D. Jackson, Dmytro Petrovskyy, Sebastian Geiger, Clarissa C. Marques, Julio D. Machado Silva, Sicilia Judice, Fazilatur Rahman, Mario Costa Sousa
Summary: Geological modelling is commonly used in predicting resource potential in subsurface reservoirs, but the traditional methods can be slow and require expertise. This study introduces an alternative approach using sketch-based interface and modelling, allowing for rapid creation of complex 3D models. The proposed geological operators handle interactions between surfaces to form realistic models, providing flexibility and intuitiveness for geoscientists to create 3D models quickly.
JOURNAL OF THE GEOLOGICAL SOCIETY
(2021)
Article
Geochemistry & Geophysics
Idowu A. Adegoke, Fang Xia, Artur P. Deditius, Mark A. Pearce, Malcolm P. Roberts, Joel Brugger
Summary: Mineral replacement reactions are influenced by solid-state diffusion and coupled dissolution-reprecipitation (CDR) mechanisms. At low temperatures, such as 160-200 degrees Celsius, solid-state diffusion and CDR processes play a dominant role in copper mineral replacement reactions. Experimental results show that the presence of hydrothermal fluids can induce solid-state exsolution, while the absence of fluids will not lead to this phenomenon.
GEOCHIMICA ET COSMOCHIMICA ACTA
(2022)
Article
Computer Science, Interdisciplinary Applications
Zainab Titus, Claire Heaney, Carl Jacquemyn, Pablo Salinas, M. D. Jackson, Christopher Pain
Summary: Surface-based modelling provides an efficient method for generating realistic representations of heterogeneity in reservoir models. By training a neural network to learn the relationship between model inputs and facies identification, and using back-propagation for optimization, the approach allows for conditioning of models to observed data and evaluation of spatial variations in geological heterogeneity.
COMPUTATIONAL GEOSCIENCES
(2022)
Article
Energy & Fuels
P. Salinas, G. Regnier, C. Jacquemyn, C. C. Pain, M. D. Jackson
Summary: The study presents a novel approach for modeling geothermal reservoirs using dynamic mesh optimization on unstructured meshes and parametric spline surfaces to represent geological features, showing significant performance gains in reducing run times while maintaining accuracy in flow and heat transport.
Article
Geochemistry & Geophysics
Natalia Torres-Rodriguez, Stephen J. Barnes, Valentina Taranovic, Mark A. Pearce, Michael Verrall, Louise E. Schoneveld
Summary: The cumulate rocks of the Nova intrusions exhibit reaction coronas between olivine and plagioclase, with mineral textures being analyzed using scanning electron microscopy and synchrotron X-ray fluorescence microscopy. The initial magmatic stage of corona formation suggests temperatures around 1035 degrees C and pressures between 0.76 and 0.96 GPa, while two-pyroxene assemblages within the symplectites indicate temperatures around 850-900 degrees C and pressures between 0.7 and 1.1 GPa. These findings confirm that the Nova intrusions were emplaced under granulite-facies peak metamorphic conditions at crustal depths of 28-35 km.
JOURNAL OF PETROLOGY
(2021)
Article
Geology
Mathias Mueller, Carl Jacquemyn, Benjamin F. Walter, Chelsea L. Pederson, Simon L. Schurr, Onyedika A. Igbokwe, Niels Joens, Sylvia Riechelmann, Martin Dietzel, Harald Strauss, Adrian Immenhauser
Summary: This study evaluates spatial and temporal gradients in processes and products related to contact metamorphism, dolomitization, and dedolomitization of marine limestones in the Middle Triassic Latemar isolated platform in the northern Italian Dolomite Mountains. It sheds light on extreme textural and geochemical complexity through detailed analysis of petrography, fluid inclusion analysis, delta C-13 and delta O-18 data, and Sr-87/Sr-86 isotope ratios. These results are relevant for understanding alteration products ranging from high-grade metamorphic overprint to moderately altered limestones along vertical gradients, as well as the conservative marine delta C-13 and delta O-18 values in both marbles and low-temperature hydrothermal dolomites.
Article
Computer Science, Interdisciplinary Applications
Francesca Watson, Stein Krogstad, Knut-Andreas Lie
Summary: Ensembles of geomodels can be ranked and selected based on flow diagnostics techniques, which provide a quick way to analyze flow behaviors and estimate oil recovery. These tools serve as proxies for full-featured dynamic modeling and help in evaluating a range of possible outcomes for reservoirs.
COMPUTATIONAL GEOSCIENCES
(2022)
Article
Geochemistry & Geophysics
David C. M. Fox, Samuel C. Spinks, Milo Barham, Christopher L. Kirkland, Mark A. Pearce, Mehrooz Aspandiar, Renee Birchall, Ed Mead
Summary: Using U-Pb geochronology of hydrothermal apatite, this study provides the first absolute age constraints on the timing of mineralization for the Carlow Castle Cu-Co-Au deposit, estimating it at around 2957 million years ago. The mineralization is dominated by a propylitic assemblage with alkaline fluid chemistry and peak temperatures exceeding 300 degrees Celsius. The unique Cu-Co-Au mineralization at Carlow Castle is associated with significant base-metal volcanogenic massive sulfide mineralization and magmatic activity related to back-arc rifting in the northwest Pilbara craton.
Article
Water Resources
A. Hamzehloo, M. L. Bahlali, P. Salinas, C. Jacquemyn, C. C. Pain, A. P. Butler, M. D. Jackson
Summary: This study tests the feasibility of using dynamic mesh optimization in a parallel computational framework for simulating saline intrusion. The results show that this new method outperforms fixed-mesh approaches, which has significant implications for aquifer management and resource regulation.
ADVANCES IN WATER RESOURCES
(2022)
Article
Geosciences, Multidisciplinary
G. Regnier, P. Salinas, C. Jacquemyn, M. D. Jackson
Summary: This paper presents a simulation methodology for aquifer thermal energy storage (ATES) using surface-based geologic modelling and dynamic mesh optimization. The study demonstrates that dynamic mesh optimization can significantly reduce the computational cost of ATES simulations while maintaining accuracy, as shown through convergence studies and case analyses.
HYDROGEOLOGY JOURNAL
(2022)
Article
Green & Sustainable Science & Technology
William A. Jackson, Gary J. Hampson, Carl Jacquemyn, Matthew D. Jackson, Dmytro Petrovskyy, Sebastian Geiger, Julio D. Machado Silva, Sicilia Judice, Fazilatur Rahman, Mario Costa Sousa
Summary: This study uses various methods to screen the impact of sedimentological heterogeneities on CO2 migration at the Northern Lights CO2 storage site. The results show that sedimentological heterogeneities play an important role in CO2 migration and retention.
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2022)
Article
Geology
Mathias Mueller, Benjamin F. Walter, Peter K. Swart, Niels Jons, Carl Jacquemyn, Onyedika A. Igbokwe, Adrian Immenhauser
Summary: This study focuses on the Triassic Latemar isolated platform in the Dolomite Mountains of northern Italy. It explores spatial and temporal gradients in processes and products related to contact metamorphism, dolomitization, and the dedolomitization of marine limestones. The findings show that fluid mixing resulted in the precipitation of two complex carbonate successions. The data from fluid inclusions and clumped isotopes reveal the complexity of a multi-fluid system and provide answers to the controversial interpretation of dolomitizing fluid temperature in Latemar.
JOURNAL OF SEDIMENTARY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
D. Petrovskyy, C. Jacquemyn, S. Geiger, M. D. Jackson, J. D. Machado Silva, S. Judice, F. Rahman, M. Costa Sousa
Summary: Sketch-based interface and modelling is a rapid and intuitive approach to create 3D reservoir models for evaluating geological concepts and uncertainties. It improves the efficiency of reservoir modelling and simulation workflows by highlighting key uncertainties.
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2023)
