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Evolutionary polynomial modeling for interpretable drought prediction and resilient resource management

Ecological Informatics 2025年 90卷

作者： Tulio J. Francisco Bruno da Silva Macêdo Zaher Mundher Yaseen Nikolay O. Nikitin Matteo Bodini Angela Gorgoglione Camila M. Saporetti L. Goliatt Computational Modeling Program Federal University of Juiz de Fora Juiz de Fora 35501-170 MG Brazil Systems and Automation Engineering Graduate Program Federal University of Lavras Lavras 37200-000 MG Brazil Civil and Environmental Engineering Department King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia ITMO University St. Petersburg 197101 Russian Federation Dipartimento di Economia Management e Metodi Quantitativi Università degli Studi di Milano Via Conservatorio 7 20122 Milano Italy Department of Fluid Mechanics and Environmental Engineering (IMFIA) School of Engineering Universidad de la República Montevideo 11300 Uruguay Department of Computational Modeling Polytechnic Institute Rio de Janeiro State University Nova Friburgo 22000-900 RJ Brazil Department of Computational and Applied Mechanics Federal University of Juiz de Fora Juiz de Fora 36036-900 MG Brazil

Droughts are natural hazards that exist in nature and can have a serious impact on the environment and society, which includes water shortages, crop failures, fires and, in some cases, soil manipulation. To assess and predict droughts, various methods, such as the Standardized Precipitation Index (SPI), were designed to segregate drought trends and excess rainfall over a period ranging from 3 to 48 months. This study proposes an innovative approach to predicting drought use, the Evolutionary Polynomial Expansion with Feature Selection (EPEFS) model, a hybrid method that integrates polynomial regression with feature selection to increase accuracy and interpretability. The methodology was applied to historical precipitation data from six meteorological stations in Türkiye, covering the period from 1971 to 2016. The drought index Standardized Precipitation Index (SPI) was used as the primary indicator, with predictions made for three different time scales: SPI-3, SPI-6 and SPI-12. Furthermore, a time series cross-validation strategy was employed to ensure performance assessment. The EPEFS model obtained R 2 coefficients of 0.880, 0.903 and 0.929 for SPI-3, SPI-6 and SPI-12, respectively, surpassing the other models analyzed. Furthermore, the model presented less complexity in the generated expressions. The results suggest that the EPEFS model holds promise as a robust and interpretable tool for drought forecasting, with potential applications in early warning systems and mitigation strategies.

关键词： Climate change Standardized precipitation index Machine learning Polynomial regression Feature selection

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Physics informed neural networks for continuum micromechanics

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PAMM 2021年第1期21卷

作者： Alexander Henkes Henning Wessels Rolf Mahnken Paderborn University Chair of Engineering Mechanics (LTM) Warburger Str. 100 33098 Paderborn Germany Technical University of Braunschweig Institute for Computational Modeling in Civil Engineering (IRMB) Pockelsstr. 3 38106 Braunschweig Germany

The present work proposes a Physics Informed Neural Network (PINN) for solving boundary value problems in continuum micromechanics. The presented technique is therefore an alternative to the finite element method or Fourier transform based methods. In this context, a neural network is used to approximate the function solving the partial differential equation. The theory of PINN in the context of micromechanics is developed.

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Corrigendum to “Hybrid Lattice Boltzmann-Finite Difference model for low Mach number combustion simulation” [Combustion and Flame 209(2019) 394-404]

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Combustion and Flame 2020年 219卷 44-44页

作者： S.A. Hosseini H. Safari N. Darabiha D. Thévenin M. Krafczyk Laboratory of Fluid Dynamics and Technical Flows University of Magdeburg “Otto von Guericke” Magdeburg D-39106 Germany Laboratoire EM2C CNRS CentraleSupélec Université Paris-Saclay 3 rue Joliot Curie Gif-sur-Yvette Cedex 91192 France International Max Planck Research School (IMPRS) for Advanced Methods in Process and Systems Engineering Magdeburg Germany Institute for Computational Modeling in Civil Engineering Technische Universität Braunschweig Germany

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Aircraft and technology for low noise short take-off and landing 35

Aircraft and technology for low noise short take-off and lan...

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35th AIAA Applied Aerodynamics Conference, 2017

作者： Delfs, Jan W. Appel, Christina Bernickey, Paul Blech, Christopher Blinstrub, Jason Heykena, Constance Kumary, Pradeep Kutscherk, Konstantin Lippitz, Nicolas Lummer, Markus Rossian, Lennart Savoni, Luciana DLR-Deutsches Zentrum für Luft- und Raumfahrt e.V Institute of Aerodynamics and Flow Technology Department Technical Acoustics Braunschweig38108 Germany Technische Universität Braunschweig Institute Fluid Mechanics Braunschweig38108 Germany Technische Universität Braunschweig Institute for Engineering Design Braunschweig38108 Germany DLR-Deutsches Zentrum für Luft- und Raumfahrt e.V Institute of Aerodynamics and Flow Technology Department Helicopters Göttingen37073 Germany Technische Universität Braunschweig Institute of Jet propulsion and Turbomachinery Braunschweig38108 Germany Technische Universität Braunschweig Institute for computational modeling in civil engineering Braunschweig38108 Germany Technische Universität Braunschweig Institute for Materials Braunschweig38108 Germany

ISBN: (数字)9781624105012

ISBN: (纸本)9781624105012

This paper discusses characteristic multi-disciplinary issues related to quiet short take- off and landing for civil transport aircraft with a typical short to medium range mission. The work reported here is focussing on the noise aspects and is embedded in the collaborative research centre CRC880 in Braunschweig, Germany. This long term aircraft research initiative focusses on a new transport aircraft segment for operation on airports with shorter runway length in commercial air transport. This calls for a community-friendly aircraft designed for operations much closer to the home of its passengers than today. This scenario sets challenging, seemingly contradictory aircraft technology requirements, namely those for extreme lift augmentation at low noise. The Research Centre CRC880 has therefore devised a range of technology projects that aim at significant noise reductions and at the generation of efficient and exible high lift. The research also addresses flight dynamics of aircraft at takeoff and landing. Two companion papers, reporting about the research in the field of "Efficient high lift"1 and "Flight dynamics"2 complete the presentation of the CRC880. It is envisaged that in general significant noise reduction -compared to a reference turbofan driven aircraft of year 2000 technology necessarily requires component noise reduction in combination with a low noise a/c concept. Results are presented from all the acoustics related projects of CRC880 which cover the aeroacoustic simulation of the source noise reduction by flow permeable materials, the characterization, development, manufacturing and operation of (porous) materials especially tailored to aeroacoustics, new UHBR turbofan arrangements for minimum exterior noise due to acoustic shielding as well as the prediction of jet noise vibration excitation of cabin noise by UHBR engines compared to conventional turbofans at cruise. © 2017, American institute of Aeronautics and Astronautics Inc, AIAA. All rights

关键词： Noise abatement

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A central moments model for shallow water equations: Convergence analysis

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AIP Conference Proceedings 2018年第1期1978卷

作者： Sara Venturi Silvia Di Francesco Piergiorgio Manciola Martin Geier 1Department of Civil and Environmental Engineering University of Perugia Via G. Duranti 06125 Perugia Italy 2Niccol Cusano University Via Don C. Gnocchi 3 00166 Rome Italy 3Institute for Computational Modeling in Civil Engineering (iRMB) TU Braunschweig Pockelsstr. 3 38106 Braunschweig Germany

In this report we provide first results about the study of a novel central moments MRT model, in order to solve shallow water equations with Lattice Boltzmann method. The asymptotic behaviour of the viscosity and the Galilean invariance of the adopted scheme was evaluated using the test of the one-dimensional decaying wave, under the so-called diffusive scale.

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SeeBridge information delivery manual (IDM) for next generation bridge inspection 33

SeeBridge information delivery manual (IDM) for next generat...

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33rd International Symposium on Automation and Robotics in Construction, ISARC 2016

作者： Sacks, Rafael Kedar, Amir Borrmann, André Ma, Ling Singer, Dominic Kattel, Uri Faculty of Civil and Environmental Engineering. Technion - Israel Institute of Technology Israel Kedmor Engineers Givatayim Israel Computational Modeling and Simulation Technical University Munich Germany National Building Research Institute Technion - Israel Institute of Technology Israel

Innovative solutions for rapid and intelligent survey and assessment methods are required in maintenance, repair, retrofit and rebuild of enormous numbers of bridges in service throughout the world. Motivated by this need, a next-generation integrated bridge inspection system named SeeBridge is proposed. To frame the system, an Information Delivery Manual (IDM) was compiled to specify the technical components, activities and information exchanges in the SeeBridge process. The IDM supports development of the system by rigorously defining the information and data repositories that structure bridge engineers' knowledge. The SeeBridge process is mapped, parts of the data repositories are presented and the future use of the IDM is discussed.

关键词： Remote sensing

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Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

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Scientific data 2021年第1期8卷 72页

作者： Gilberto Pastorello Carlo Trotta Eleonora Canfora Housen Chu Danielle Christianson You-Wei Cheah Cristina Poindexter Jiquan Chen Abdelrahman Elbashandy Marty Humphrey Peter Isaac Diego Polidori Markus Reichstein Alessio Ribeca Catharine van Ingen Nicolas Vuichard Leiming Zhang Brian Amiro Christof Ammann M Altaf Arain Jonas Ardö Timothy Arkebauer Stefan K Arndt Nicola Arriga Marc Aubinet Mika Aurela Dennis Baldocchi Alan Barr Eric Beamesderfer Luca Belelli Marchesini Onil Bergeron Jason Beringer Christian Bernhofer Daniel Berveiller Dave Billesbach Thomas Andrew Black Peter D Blanken Gil Bohrer Julia Boike Paul V Bolstad Damien Bonal Jean-Marc Bonnefond David R Bowling Rosvel Bracho Jason Brodeur Christian Brümmer Nina Buchmann Benoit Burban Sean P Burns Pauline Buysse Peter Cale Mauro Cavagna Pierre Cellier Shiping Chen Isaac Chini Torben R Christensen James Cleverly Alessio Collalti Claudia Consalvo Bruce D Cook David Cook Carole Coursolle Edoardo Cremonese Peter S Curtis Ettore D'Andrea Humberto da Rocha Xiaoqin Dai Kenneth J Davis Bruno De Cinti Agnes de Grandcourt Anne De Ligne Raimundo C De Oliveira Nicolas Delpierre Ankur R Desai Carlos Marcelo Di Bella Paul di Tommasi Han Dolman Francisco Domingo Gang Dong Sabina Dore Pierpaolo Duce Eric Dufrêne Allison Dunn Jiří Dušek Derek Eamus Uwe Eichelmann Hatim Abdalla M ElKhidir Werner Eugster Cacilia M Ewenz Brent Ewers Daniela Famulari Silvano Fares Iris Feigenwinter Andrew Feitz Rasmus Fensholt Gianluca Filippa Marc Fischer John Frank Marta Galvagno Mana Gharun Damiano Gianelle Bert Gielen Beniamino Gioli Anatoly Gitelson Ignacio Goded Mathias Goeckede Allen H Goldstein Christopher M Gough Michael L Goulden Alexander Graf Anne Griebel Carsten Gruening Thomas Grünwald Albin Hammerle Shijie Han Xingguo Han Birger Ulf Hansen Chad Hanson Juha Hatakka Yongtao He Markus Hehn Bernard Heinesch Nina Hinko-Najera Lukas Hörtnagl Lindsay Hutley Andreas Ibrom Hiroki Ikawa Marcin Jackowicz-Korczynski Dalibor Janouš Wilma Jans Rachhpal Jassal Shicheng Jiang Tomomichi Kato Myr Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. gzpastorello@lbl.gov. DIBAF University of Tuscia Viterbo 01100 Italy. Euro-Mediterranean Centre on Climate Change Foundation (CMCC) Lecce 73100 Italy. Climate & Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Department of Civil Engineering California State University Sacramento CA 95819 USA. Department of Geography Environment and Spatial Sciences Michigan State University East Lansing MI 48823 USA. Department of Computer Science University of Virginia Charlottesville VA 22904 USA. TERN Ecosystem Processes Menzies Creek VIC3159 Australia. Max Planck Institute for Biogeochemistry Jena 07701 Germany. Laboratoire des Sciences du Climat et de l'Environnement (LSCE) CEA CNRS UVSQ UPSACLAY Gif sur Yvette 91190 France. Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China. Department of Soil Science University of Manitoba Winnipeg MB R3T2N2 Canada. Department of Agroecology and Environment Agroscope Research Institute Zürich 8046 Switzerland. School of Geography and Earth Sciences McMaster University L8S4K1 Hamilton ON Canada. Department of Physical Geography and Ecosystem Science Lund University Lund 22362 Sweden. Department of Agronomy and Horticulture University of Nebraska-Lincoln Lincoln NE 68583 USA. School of Ecosystem and Forest Sciences The University of Melbourne Richmond VIC3121 Australia. Department of Biology Research Group PLECO University of Antwerp Antwerp 2610 Belgium. Joint Research Centre European Commission Ispra 21027 Italy. TERRA Teaching and Research Center University of Liege Gembloux B-5030 Belgium. Finnish Meteorological Institute Helsinki 00560 Finland. ES

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Conservative phase-field lattice Boltzmann model for interface tracking equation

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Physical Review E 2015年第6期91卷 063309-063309页

作者： Martin Geier Abbas Fakhari Taehun Lee []TU Braunschweig Institute for Computational Modeling in Civil Engineering (iRMB) TU-Braunschweig Pockelsstrasse 3 38106 Braunschweig Germany

Based on the phase-field theory, we propose a conservative lattice Boltzmann method to track the interface between two different fluids. The presented model recovers the conservative phase-field equation and conserves mass locally and globally. Two entirely different approaches are used to calculate the gradient of the phase field, which is needed in computation of the normal to the interface. One approach uses finite-difference stencils similar to many existing lattice Boltzmann models for tracking the two-phase interface, while the other one invokes central moments to calculate the gradient of the phase field without any finite differences involved. The former approach suffers from the nonlocality of the collision operator while the latter is entirely local making it highly suitable for massive parallel implementation. Several benchmark problems are carried out to assess the accuracy and stability of the proposed model.

关键词： LATTICE Boltzmann methods computational complexity NUMERICAL analysis PROBLEM solving HYDRODYNAMICS

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26th Annual computational Neuroscience Meeting (CNS*2017) of the Organization for computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Consistent simulation of droplet evaporation based on the phase-field multiphase lattice Boltzmann method

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Physical Review E 2014年第3期90卷 033305-033305页

作者： Hesameddin Safari Mohammad Hassan Rahimian Manfred Krafczyk Department of Mechanical Engineering College of Engineering University of Tehran Tehran Iran Institute for Computational Modeling in Civil Engineering Technische Universität Braunschweig Braunschweig Germany

In the present article, we extend and generalize our previous article [H. Safari, M. H. Rahimian, and M. Krafczyk, Phys. Rev. E 88, 013304 (2013)] to include the gradient of the vapor concentration at the liquid-vapor interface as the driving force for vaporization allowing the evaporation from the phase interface to work for arbitrary temperatures. The lattice Boltzmann phase-field multiphase modeling approach with a suitable source term, accounting for the effect of the phase change on the velocity field, is used to solve the two-phase flow field. The modified convective Cahn-Hilliard equation is employed to reconstruct the dynamics of the interface topology. The coupling between the vapor concentration and temperature field at the interface is modeled by the well-known Clausius-Clapeyron correlation. Numerous validation tests including one-dimensional and two-dimensional cases are carried out to demonstrate the consistency of the presented model. Results show that the model is able to predict the flow features around and inside an evaporating droplet quantitatively in quiescent as well as convective environments.

关键词： Boltzmann's H-theorem (Statistical physics) Evaporation (Chemistry) Phase transformations (Physics) Vaporization Multiphase flow Clausius-Clapeyron relation

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