Preprints

Filtering by Subject: Engineering

On the Definition of an Independent Stochastic Model for InSAR Time Series

Wietske S Brouwer, Ramon Hanssen

Published: 2025-01-16
Subjects: Engineering, Physical Sciences and Mathematics

InSAR enables the estimation of displacements of (objects on) the Earth’s surface. To provide reliable estimates, both an independent stochastic and functional model are re- quired. However, the intrinsic problem of InSAR is that both are unknown. Here we propose an independent definition of the stochastic model, via an approximation scheme for the variance- covariance matrix for [...]

AI-Driven Decision-Making for Water Resources Planning and Hazard Mitigation Using Automated Multi Agents

Likith Anoop Kadiyala, Ramteja Sajja, Yusuf Sermet, et al.

Published: 2024-12-27
Subjects: Civil Engineering, Computational Engineering, Computer and Systems Architecture, Computer Engineering, Ecology and Evolutionary Biology, Education, Engineering, Environmental Engineering, Geotechnical Engineering, Higher Education, Hydraulic Engineering, Operations Research, Systems Engineering and Industrial Engineering, Risk Analysis, Scholarship of Teaching and Learning, Systems Engineering, Terrestrial and Aquatic Ecology, Transportation Engineering

This project simulates the Multi-Hazard Tournament (MHT) framework, a decision support system designed for the U.S. Army Corps of Engineers, using AI agents to enhance decisionmaking processes for flood mitigation and water resource management. The objective of the framework is to develop optimal strategies for protecting water resources, habitats, and communities within a defined budget. The [...]

Improved Streamflow Simulations in Hydrologically Diverse Basins using Physically Informed Deep Learning Models

Bhanu Magotra, Manabendra Saharia, C. T. Dhanya

Published: 2024-12-23
Subjects: Civil Engineering, Engineering, Hydrology

Physically informed deep learning models, especially Long Short-Term Memory (LSTM) networks, have shown promise in large-scale streamflow simulations. However, an in-depth understanding of the relative contribution of physical information in deep learning models has been missing. Using a large-sample testbed of 220 catchments in hydrologically diverse regions of the Indian subcontinent, we [...]

Unlocking Geological Hydrogen Storage with Ammonia: An Effort for Net-Zero Future

Adnan Aftab

Published: 2024-12-21
Subjects: Education, Engineering

Hydrogen gas (H2) generation systems, comprising carbon capture and storage technology (CCST) play a crucial role to achieve the U.N. Net Zero goal before 2050. However, a critical challenge in grid-scale H2 storage is the low volumetric energy density. One prospective approach is to use ammonia (NH3) as a chemical carrier for H2 and store it. This paper presents a state-of-the-art report on NH3 [...]

Distributed Acoustic Sensing (DAS) for Longwall Coal Mines

Derrrick Chambers, Alexander Ankamah, Ahmad Tourei, et al.

Published: 2024-12-19
Subjects: Engineering

Seismic monitoring of underground longwall mines can provide valuable information for managing coal burst risks and understanding the ground response to extraction. However, the underground longwall mine environment poses major challenges for traditional in-mine microseismic sensors including the restricted use of electronics due to potentially explosive atmospheres, the need to frequently and [...]

Evolution of desalination research and water production in the Middle East: a five-decade perspective

Daniele D'Agostino, Maryam Al-Memari, Amal Al-Gargawi, et al.

Published: 2024-12-19
Subjects: Engineering, Life Sciences

Rapid urbanization and population growth, coupled with depleting groundwater reservoirs, have significantly increased reliance on desalination technologies in the arid Middle East, which accounts for nearly half (46%) of global desalination capacity. This large production volume has raised critical questions on the status of desalination research in this water-stressed region, and on whether it [...]

SC-PREC4SA: A serially complete daily precipitation dataset for South America

Adrian Huerta, Roberto Serrano-Notivoli, Stefan Brönnimann

Published: 2024-12-18
Subjects: Engineering, Physical Sciences and Mathematics

This study introduces the serially complete precipitation dataset for South America (SC-PREC4SA), a daily precipitation dataset (1960-2015) designed to address observational gaps and ensure temporal consistency across diverse climates. The raw dataset underwent quality control, gap-filling, and homogenization procedures. Applied robust quality control highlighted common but also overlooked [...]

Development of a dynamic true triaxial electromagnetic Hopkinson bar system

Heping Xie, Jianbo Zhu, Yulong Li, et al.

Published: 2024-12-16
Subjects: Engineering

Subsurface rock masses and rock engineering are subjected to multiaxial static stresses and often also bear additional multi-directional dynamic disturbances generated by seismic activity, blast waves and vibration, etc. It is therefore of great importance to study and understand the dynamic mechanical behaviors and failure mechanisms of rocks under multiaxial and multidirectional dynamic [...]

Evaluation and prediction of the Effects of Planetary Orbital Variations to Earth’s Temperature Changes

Mengmeng Cao, Kebiao Mao, Sayed M. Bateni, et al.

Published: 2024-12-11
Subjects: Education, Engineering, Physical Sciences and Mathematics

Existing climate studies mainly assessed the effect of greenhouse gases and aerosols, among other forcings on Earth’s temperature. None of them has not evaluated the effect of the planetary orbital changes on Earth’s temperature. Here, we deconvolved the effects of greenhouse gases and planetary orbital changes on Earth’s temperature and to forecast the latter at different time scales. Our [...]

Theory and Conditions for AI-Based Inversion Paradigm of Geophysical Parameters Using Energy Balance

Kebiao Mao, Chenhao Wu, Zijin Yuan, et al.

Published: 2024-12-08
Subjects: Engineering, Physical Sciences and Mathematics

To construct a universal artificial intelligence (AI) model for geophysical parameter inversion, this study proposes a new remote sensing parameter inversion paradigm theory by changing cognition to unify physical, statistics and AI methods. Using the energy balance equation, we demonstrate that establishing a closed system of physical inversion equations between input and output variables in [...]

Intensifying tropical cyclones associated with more frequent hazardous material pipeline failures

Elizabeth Carter, Marilyn Smith

Published: 2024-12-04
Subjects: Engineering

Over 30,000 hazardous material pipeline (HMP) failures have been reported in the US since 1970, associated with 274 fatalities, 1,120 injuries, and nearly $11 billion in damages. Tropical cyclones are under-recognized as drivers of pipeline failures, mainly because failures aren't associated with tropical cyclones on operator-generated incidence reports, limiting analysis. This study defines [...]

AI-Assisted Educational Framework for Floodplain Manager Certification: Enhancing Vocational Education and Training Through Personalized Learning

Ramteja Sajja, Vinay Pursnani, Yusuf Sermet, et al.

Published: 2024-11-26
Subjects: Education, Engineering

Floodplain management is critical for mitigating flood risks and safeguarding communities. The FloodPlain Manager (FPM) certification is essential for professionals in this field, but current preparation methods often fall short in providing comprehensive, accessible, and engaging study resources. This research introduces a novel AI-assisted educational tool designed specifically for FPM [...]

Self Super-Resolution of Time-Separated Multispectral Bands

Ankur Garg, Meenakshi Sarkar, Dr. S Manthira Moorthi, et al.

Published: 2024-11-25
Subjects: Engineering, Signal Processing

The usual system design compromise in high resolution satellites is to have a higher spatial resolution panchromatic (PAN) channel with 3 or 4 lower spatial resolution multispectral (MX) channels and generate a high spatial & spectral resolution prod- uct on ground by making use of the fusion techniques. Since the telescopes of such systems are designed to cater to modulation transfer [...]

Towards centimeter precision SAR-RFID localization

Arthur Charléty, Morgane Magnier, Mathieu Le Breton, et al.

Published: 2024-11-20
Subjects: Engineering, Geomorphology, Physical Sciences and Mathematics

Radio-Frequency Identification (RFID) shows great potential for earth-sciences applications, notably for landslide surface monitoring at a high spatio-temporal resolution with long-term robustness to meteorological events (rain, fog, snow). The ability to localize RFID tags using Unmanned Aerial Vehicles (UAV) in a Synthetic Aperture Radar (SAR) approach, would offer new possibilites for [...]

Granular column collapse: Analysing the effects of gravity levels

Yucheng LI, Bowen Wang, Raul Fuentes

Published: 2024-11-20
Subjects: Earth Sciences, Engineering

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