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Preprints

Filtering by Subject: Environmental Sciences

Holocene environmental change in Rotsee and its impact on sedimentary carbon storage

Cindy De Jonge, Nathalie Dubois, Nemiah Ladd, et al.

Published: 2024-12-20
Subjects: Earth Sciences, Environmental Sciences

To assess the long-term impact of climate change and human influence on lakes and their sedimentary carbon storage, paleo-environmental approaches using well-dated lake sediment cores can be employed. Here, we reconstruct carbon mass accumulation rates for organic and inorganic carbon since 13 ka BP in Rotsee, a perialpine lake near the Swiss Alps, using a 12m sediment core. A multiproxy approach [...]

A Conversational Intelligent Assistant for Enhanced Operational Support in Floodplain Management with Multimodal Data

Vinay Pursnani, Muhammed Yusuf Sermet, Ibrahim Demir

Published: 2024-12-19
Subjects: Artificial Intelligence and Robotics, Civil and Environmental Engineering, Computer Sciences, Databases and Information Systems, Earth Sciences, Environmental Engineering, Environmental Sciences, Environmental Studies, Hydraulic Engineering, Hydrology, Water Resource Management

Floodplain management is crucial for mitigating flood risks and enhancing community resilience, yet floodplain managers often face significant challenges, including the complexity of data analysis, regulatory compliance, and effective communication with diverse stakeholders. This study introduces Floodplain Manager AI, an innovative artificial intelligence (AI) based virtual assistant designed to [...]

Impact of farm size on the function of landscape-level payments for ecosystem services: An agent-based model study

Vince Wu, Andrew Reid Bell, Wei Zhang

Published: 2024-12-18
Subjects: Environmental Health and Protection, Environmental Sciences, Sustainability

Reducing pesticide use and restoring biodiversity are among the most pressing environmental challenges. Enhancing natural pest control ecosystem services through the integration of non-crop habitats (NCH) offers promising potential, creating a positive feedback loop by harnessing insect biodiversity to reduce pesticide reliance. Policy support is needed at the landscape level to encourage [...]

Catastrophe risk models as quantitative tools for climate change loss and damage: A demonstration for flood in Malawi, Vietnam, and the Philippines

Elizabeth Galloway, Ashleigh Massam, James Allard, et al.

Published: 2024-12-18
Subjects: Environmental Sciences

Climate change loss and damage is a critical part of the international climate policy framework,addressing the residual climate impacts that cannot be avoided through mitigation or adaptation,which disproportionately affect vulnerable communities with limited capacity to recover. Major gaps remain in quantifying loss and damage, including developing equitable, operational mechanisms for financing [...]

Projecting Global Changes in Land Use and Ecosystem Services Using SEALS (Spatial Economic Allocation Landscape Simulator)

Justin Andrew Johnson, Sumil Thakrar

Published: 2024-12-18
Subjects: Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Spatial Science, Statistical Models

Understanding how economic systems and ecosystems interact across space is crucial to ensure societal needs are met without compromising environmental quality. Spatially explicit economic models usually describe human activities and ensuing land-use dynamics at a resolution that this is too coarse (typically 10-1000 regions) to understand how these affect many biophysical processes, including [...]

Glacier preservation doubled by limiting warming to 1.5°C

Harry Zekollari, Lilian Schuster, Fabien Maussion, et al.

Published: 2024-12-15
Subjects: Climate, Earth Sciences, Environmental Sciences, Glaciology, Physical Sciences and Mathematics

Glaciers adapt slowly to changing climatic conditions, resulting in long-term changes in their mass with implications for sea level rise and water supply, even if the climate were to stabilize. Using eight glacier evolution models, we simulate global glacier evolution over multi-centennial timescales, allowing glaciers to equilibrate with climate under various constant global temperature [...]

Climate-Induced Sea-Level Rise Implications on Archaeological Taonga at Te Pokohiwi ō Kupe – The Wairau Bar, Aotearoa New Zealand

Shaun P. Williams, Peter Meihana, Cyprien Bosserelle, et al.

Published: 2024-12-11
Subjects: Earth Sciences, Environmental Sciences, Oceanography and Atmospheric Sciences and Meteorology

The northwest portion of Te Pokohiwi ō Kupe (the Wairau Bar) in the Marlborough Region is where one of Aotearoa New Zealand’s earliest archaeological heritage sites dating back to the early 1300’s is located. This paper describes a baseline study to map the effects of present-day and future sea-levels on archaeological heritage land at Te Pokohiwi ō Kupe. Results suggest that approximately 20% of [...]

Growing wildfire-derived PM2.5 across the contiguous U.S. and implications for air quality regulation

Marissa Childs, Mariana Martins, Andrew Wilson, et al.

Published: 2024-12-09
Subjects: Environmental Sciences, Environmental Studies

Growing wildfire activity across North America produces significant smoke, undermining efforts to regulate surface air quality and protect public health. Using surface measurements, satellites, and machine learning, we provide granular, daily estimates of smoke PM2.5 concentrations in the contiguous U.S. from 2006 to 2023, and use them to assess the implications of smoke for surface air pollution [...]

Tracking Drought Impacts from Texts: Towards AI-Assisted Drought Impact Detection

Beichen Zhang, Kelly Helm Smith, Frank Schilder, et al.

Published: 2024-12-06
Subjects: Artificial Intelligence and Robotics, Computer Sciences, Earth Sciences, Environmental Indicators and Impact Assessment, Environmental Sciences, Hydrology

Drought is recognized for its extensive and varied impacts. Based on the drought-related textual datasets from the National Drought Mitigation Center, our research applies advanced artificial intelligence techniques, including deep learning and natural language processing, to enhance the monitoring of multifaceted drought impacts in the United States. This study also delves into predicting [...]

A Millimeter-Scale Change in Leaf Litter Placement Within Soil-Water Interfaces Alters Carbon Dioxide and Methane Emission

Hao Liu, Yi-Ning Zhang, Yu-Jia Cai, et al.

Published: 2024-12-04
Subjects: Earth Sciences, Environmental Sciences, Geochemistry, Soil Science, Sustainability

Flooded soils play a critical role in global carbon cycling, serving as significant reservoirs of soil organic carbon and sources of carbon emissions. Leaf litter, particularly from local vegetation, is a major contributor to soil organic carbon formation in these ecosystems, with its decomposition driving the production of carbon dioxide and methane. While numerous studies have investigated the [...]

Machine Learning Predicts Pedestrian Wind Flow from Urban Morphology and Prevailing Wind Direction

Jiachen Lu, Wei Li, Sanaa Hobeichi, et al.

Published: 2024-11-30
Subjects: Earth Sciences, Environmental Sciences, Oceanography and Atmospheric Sciences and Meteorology

Pedestrian-level wind plays a critical role in shaping the urban microclimate and is significantly influenced by urban form and geometry. The most common method for determining spatial wind speed patterns in cities relies on numerical computational fluid dynamics (CFD) simulations, which resolve Navier-Stokes equations around buildings. While effective, these simulations are computationally [...]

The State of Global Catastrophic Risk Research: A Bibliometric Review

Florian Ulrich Jehn, John-Oliver Engler, Constantin W. Arnscheidt, et al.

Published: 2024-11-30
Subjects: Agriculture, Biodiversity, Environmental Sciences, Environmental Studies, Food Science, Geography, Other Life Sciences

The global catastrophic risk (GCR) and existential risk (ER) literature focuses on analysing and preventing potential major global catastrophes including a human extinction event. Over the past two decades, the field of GCR/ER research has grown considerably. However, there has been little meta-research on the field itself. How large has this body of literature become? What topics does it cover? [...]

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 [...]

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: 2024-11-28
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 [...]

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

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

Published: 2024-11-27
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 [...]

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