Preprints

There are 5347 Preprints listed.

Efficient Carbon Dioxide and Methane Flux Monitoring in Soil Microcosms Using an Automated Chamber with a Cartesian Robot

Hao Liu, Yi-Ning Zhang, Zi-Yan Liu, et al.

Published: 2024-11-29
Subjects: Civil and Environmental Engineering, Environmental Engineering, Environmental Monitoring, Environmental Sciences, Physical Sciences and Mathematics

1.Accurate measurement of carbon dioxide (CO₂) and methane (CH₄) emissions from soil is crucial for understanding carbon dynamics and developing strategies to mitigate climate change. Traditional chamber techniques and soil incubation experiments each have limitations that hinder their efficiency and accuracy. This study aims to overcome these challenges by integrating automated technologies [...]

Insights into upper lithosphere detachment and exhumation through numerical modelling

Dimitrios Papadomarkakis, Constantin D. Athanassas

Published: 2024-11-28
Subjects: Physical Sciences and Mathematics

The mechanisms underlying exhumation have been a topic of debate among researchers for many decades, prompting the development of numerous computational models aimed at elucidating the processes that initiate exhumation. However, a key gap in the literature lies in understanding how segments of the subducting lithospheric plate detach and subsequently exhumate after extended periods. [...]

Bioenergetic modeling reveals opposing effects of ocean and terrestrial warming of an intertidal crustacean

Emily A. Roberts, Gordon T. Ober, Sarah E. Gilman

Published: 2024-11-28
Subjects: Ecology and Evolutionary Biology

Organism-level bioenergetics models (OBMs) are an emerging tool for predicting consequences of climate change on organism growth in ecological systems. Global changes in ocean and atmospheric temperature may affect organisms that experience both environments, such as those living in intertidal systems. The acorn barnacle, Balanus glandula, is prevalent throughout the intertidal zone in the [...]

Carbon dioxide removal could perpetuate community-scale inequalities of U.S. air pollution in net-zero scenarios

Candelaria Bergero, Jing Cheng, Qiang Zhang, et al.

Published: 2024-11-27
Subjects: Environmental Public Health, Environmental Sciences, Environmental Studies

Pathways to net-zero reduce GHG emissions and improve air quality, but the magnitude and distribution of these improvements will depend on specific mitigation decisions, such as the amount of carbon dioxide removals (CDR). Here, we combine a series of models and datasets to analyze community-scale PM2.5 impacts across the contiguous U.S. of net-zero scenarios with different levels of CDR. Both [...]

Deep Learning-Based Satellite Image Analysis for Predicting Land Surface Temperature and Emissivity from Multi-Region Landsat 8 OLI/TIRS Imagery

Ankur Garg, Aatmaj Salunke

Published: 2024-11-27
Subjects: Signal Processing

This research investigates the efficacy of deep learning techniques in estimating Land Surface Temperature (LST) and Emissivity from Landsat satellite imagery across seven distinct geographical regions. Utilizing the Single Channel Method for LST estimation and an NDVI-based approach for Emissivity estimation, our study spans the years 2018 to 2023, ensuring data integrity with cloud cover below [...]

Empirical evidence of dynamic hydrogeomorphic feature inundation in a lowland floodplain

Molly Cain, Jase L Hixson, C. Nathan Jones, et al.

Published: 2024-11-27
Subjects: Physical Sciences and Mathematics

Floodplains along low-gradient, meandering river systems contain diverse hydrogeomorphic features, ranging from isolated depressions to hydrologically-connected channels. These ephemerally-flooded features inundate prior to river water overtopping all banks, enhancing river-floodplain connectivity during moderately high flow stages. Predicting when and where ecological functions occur in [...]

XAI and Sustainability: Unifying Regulatory Standards and Solutions for the Future of Environmental Management

Nádia Alberto

Published: 2024-11-26
Subjects: Social and Behavioral Sciences

This study explores the integration of Explainable Artificial Intelligence (XAI) into environmental governance, addressing critical challenges in transparency, public trust and regulatory compliance. As AI technologies increasingly influence decision-making in environmental management, ensuring equitable and ethical practices has become paramount. By examining key regulatory frameworks, including [...]

Integration and Execution of Community Land Model Urban (CLMU) in a Containerized Environment

Junjie Yu, Yuan Sun, Sarah Lindley, et al.

Published: 2024-11-26
Subjects: Civil Engineering, Computer Sciences, Earth Sciences, Environmental Engineering, Environmental Sciences

The Community Land Model Urban (CLMU) is a process-based numerical urban climate model that simulates the interactions between the atmosphere and urban surfaces, serving as a powerful tool for the convergence of urban and climate science research. Despite its advanced capabilities, CLMU presents significant challenges for users unfamiliar with numerical modeling due to the complexities of model [...]

Evidence for large disturbances of the Ediacaran geomagnetic field from West Africa

Boris Robert, Fernando Corfu, Mathew Domeier, et al.

Published: 2024-11-26
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics, Tectonics and Structure

Constraining the paleogeography of the Ediacaran is crucial for understanding the extensive tectonic, biological and geochemical changes that occurred during that epoch. Paleomagnetism is an essential tool for reconstructing the Ediacaran paleogeography but it is complicated because the paleomagnetic data of that age display unusually fast and large directional oscillations. Two main competing [...]

Multiregional accounting of corporate carbon emissions

Steven J. Davis, Andrew Dumit, Mo Li, et al.

Published: 2024-11-26
Subjects: Environmental Monitoring, Environmental Sciences, Natural Resources and Conservation, Physical Sciences and Mathematics, Sustainability

Corporations routinely use environmentally-extended input-output models to estimate and report greenhouse gas emissions upstream in their supply chain. However, the most widely used of such models assume that the structure of supply chains and the emissions intensity of industries match those of a single region—usually the U.S. or the U.K. Here, we use a high-resolution multiregional input-output [...]

HydroSuite-AI: Facilitating Hydrological Research with LLM-Driven Code Assistance

Vinay Pursnani, Carlos Erazo Ramirez, Muhammed Yusuf Sermet, et al.

Published: 2024-11-26
Subjects: Civil Engineering, Computational Engineering, Computer Engineering, Environmental Engineering, Science and Mathematics Education, Systems and Communications

In the hydrology and environmental domains, researchers often encounter complex hydrological models, evolving frameworks and libraries, and complex documentation, which necessitate both domain knowledge and coding expertise. This paper introduces HydroSuite-AI, a large language model-enhanced web application designed to address these challenges by integrating three open-source libraries: [...]

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 [...]

Decoding sub-seasonal predictors of extreme heat with interpretable machine learning

Jagger Alexander, Zong-Liang Yang

Published: 2024-11-25
Subjects: Oceanography and Atmospheric Sciences and Meteorology

As climate change accelerates, heat waves are becoming more frequent, intense, and deadly. Enhancing forecasting capabilities through a better understanding of sub-seasonal predictors of extreme heat is crucial for adaptation efforts. This study utilizes an interpretable machine learning model, implementing Extreme Gradient Boosting (XGBoost) with SHapley Additive exPlanations (SHAP), to evaluate [...]

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 [...]

VolcAshDB – A global database of volcanic ash particles

Damià Benet, Fidel Costa, Kévin Migadel, et al.

Published: 2024-11-25
Subjects: Geology, Volcanology

Volcanic ash is made of particles smaller than 2 mm and is produced during volcanic eruptions. Studying the properties of volcanic ash is key for a range of applications, including volcano monitoring. However, given the large variety of textures, colors, and shapes of particles from different eruptions and volcanoes it is challenging to classify them in a reproducible and systematic manner. Here, [...]

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