Search Results - "Python (Computer language)"

SHTools: Tools for Working with Spherical Harmonics by Wieczorek, Mark A., Meschede, Matthias

“…Geophysical analyses are often performed in spherical geometry and require the use of spherical harmonic functions to express observables or physical…”
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PyGeochemCalc: A Python package for geochemical thermodynamic calculations from ambient to deep Earth conditions by Awolayo, Adedapo N., Tutolo, Benjamin M.

“…Over the past half century, techniques for evaluating the thermodynamics of water-rock interactions from ambient to deep Earth conditions have advanced…”
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Sulfur_X: A Model of Sulfur Degassing During Magma Ascent by Ding, Shuo, Plank, Terry, Wallace, Paul J., Rasmussen, Daniel J.

“…The degassing of CO2 and S from arc volcanoes is fundamentally important to global climate, eruption forecasting, ore deposits, and the cycling of volatiles…”
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Integrating scientific knowledge into machine learning using interactive decision trees by Sarailidis, Georgios, Wagener, Thorsten, Pianosi, Francesca

“…Decision Trees (DT) describe a type of machine learning method that has been widely used in the geosciences to automatically extract patterns from complex and…”
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FloPy Workflows for Creating Structured and Unstructured MODFLOW Models by Hughes, Joseph D., Langevin, Christian D., Paulinski, Scott R., Larsen, Joshua D., Brakenhoff, David

“…FloPy is a Python package for creating, running, and post‐processing MODFLOW‐based groundwater flow and transport models. FloPy functionality has expanded to…”
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detritalPy: A Python‐based toolset for visualizing and analysing detrital geo‐thermochronologic data by Sharman, Glenn R., Sharman, Jonathan P., Sylvester, Zoltan

“…Detrital geochronology and thermochronology have emerged as primary methods of reconstructing the tectonic and surficial evolution of the Earth over geological…”
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A review of velocity fields in fault bend folding kinematic models: General algorithm for computational application by Cristallini, Ernesto

“…This study presents a comprehensive approach to fault-related folding by integrating multiple kinematic models into a unified framework. Fault-parallel flow,…”
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Intelligent classification of coal structure using multinomial logistic regression, random forest and fully connected neural network with multisource geophysical logging data by Wang, Zihao, Cai, Yidong, Liu, Dameng, Qiu, Feng, Sun, Fengrui, Zhou, Yingfang

“…The structure of coal indicates the degree of its fragmentation after tectonic movement, which affects the exploration and development of coalbed methane…”
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A globally applicable framework for compound flood hazard modeling by Eilander, Dirk, Couasnon, Anaïs, Leijnse, Tim, Ikeuchi, Hiroaki, Yamazaki, Dai, Muis, Sanne, Dullaart, Job, Haag, Arjen, Winsemius, Hessel C., Ward, Philip J.

“…Coastal river deltas are susceptible to flooding from pluvial, fluvial, and coastal flood drivers. Compound floods, which result from the co-occurrence of two…”
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Geo-constrained clustering of resistivity data revealing the heterogeneous lithological architectures and the distinctive geoelectrical signature of shallow deposits by Ciampi, Paolo, Giannini, Leonardo Maria, Cassiani, Giorgio, Esposito, Carlo, Papini, Marco Petrangeli

“…For all applications, subsurface models should be consistent with all available geological and geophysical knowledge. Current practices for synergistic…”
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Comparing 2D and 3D slope stability in spatially variable soils using random finite-element method by WU, Chongzhi, WANG, Ze Zhou, GOH, Siang Huat, ZHANG, Wengang

“…Although the spatial variability of soil properties in slope stability analysis has long been recognized, the adoption of three-dimensional (3D) probabilistic…”
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Towards an open-source landscape for 3-D CSEM modelling by Werthmüller, Dieter, Rochlitz, Raphael, Castillo-Reyes, Octavio, Heagy, Lindsey

“…SUMMARY Large-scale modelling of 3-D controlled-source electromagnetic (CSEM) surveys used to be feasible only for large companies and research consortia. This…”
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Quantification of geodetic strain rate uncertainties and implications for seismic hazard estimates by Maurer, Jeremy, Materna, Kathryn

“…SUMMARY Geodetic velocity data provide first-order constraints on crustal surface strain rates, which in turn are linked to seismic hazard. Estimating the 2-D…”
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Non-linear phase linking using joined distributed and persistent scatterers by Mirzaee, Sara, Amelung, Falk, Fattahi, Heresh

“…We describe a python package for nonlinear phase linking of full resolution SAR images using both distributed and persistent scatterers. In the workflow, the…”
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Flexible quasi-2D inversion of time-domain AEM data, using a wavelet-based complexity measure by Deleersnyder, Wouter, Maveau, Benjamin, Hermans, Thomas, Dudal, David

“…SUMMARY Regularization methods improve the stability of ill-posed inverse problems by introducing some a priori characteristics for the solution such as…”
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Enhancing machine learning thermobarometry for clinopyroxene-bearing magmas by Ágreda-López, Mónica, Parodi, Valerio, Musu, Alessandro, Jorgenson, Corin, Carfì, Alessandro, Mastrogiovanni, Fulvio, Caricchi, Luca, Perugini, Diego, Petrelli, Maurizio

“…In this study, we proposed a general workflow that aims to enhance the ML-based geothermobarometer modelling. Our workflow focuses on three key areas. Firstly,…”
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Application of the modified Q-slope classification system for sedimentary rock slope stability assessment in Iran by Azarafza, Mohammad, Nanehkaran, Yaser A., Rajabion, Lila, Akgün, Haluk, Rahnamarad, Jafar, Derakhshani, Reza, Raoof, Amir

“…•Obtaining a correlation between Q-slope and slope stability degree by using case studies from ten provinces of Iran.•Utilizing the Q-slope classification on…”
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Pyeo: A Python package for near-real-time forest cover change detection from Earth observation using machine learning by Roberts, J.F., Mwangi, R., Mukabi, F., Njui, J., Nzioka, K., Ndambiri, J.K., Bispo, P.C., Espirito-Santo, F.D.B., Gou, Y., Johnson, S.C.M., Louis, V., Pacheco-Pascagaza, A.M., Rodriguez-Veiga, P., Tansey, K., Upton, C., Robb, C., Balzter, H.

“…Monitoring forest cover change from Earth observation data streams in near-real-time presents a challenge for automated change detection by way of a…”
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Commutative encryption and watermarking algorithm based on compound chaotic systems and zero-watermarking for vector map by Tan, Tao, Zhang, Liming, Zhang, Mingwang, Wang, Shuai, Wang, Lei, Zhang, Ziyi, Liu, Shuaikang, Wang, Pengbin

“…Commutative encryption and watermarking (CEW) is an efficient and safe protection technology combining cryptography and digital watermarking. It features the…”
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The global deep carbon cycle started in the Paleoproterozoic Era by Liu, Zhicheng, Zhang, Lifei, Jin, Ailin, Lan, Chunyuan, Hu, Han, Xu, Cheng

“…The deep carbon cycle plays a crucial role in Earth's evolution by regulating atmospheric composition and ensuring planetary habitability over geological…”
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