Preprints

Filtering by Subject: Environmental Sciences

Performance of a bioreactor using HCC fillers for sewage treatment

zichun yan, Rong Zeng, Li Shen

Published: 2024-11-13
Subjects: Environmental Sciences

The experiments prepared bio-fillers using corn cobs as raw materials. Heat modification was identified as the optimal method by comparing the physical and chemical properties (roughness, porosity, water immersion stability, and compressive strength) of unmodified, acid modified, alkali modified, and heat modified corn cobs. Subsequently, the heat modification conditions were optimized, and the [...]

Sensing The Dynamics of Small Landholding in India through Earth Observation: A Comprehensive Review

Subhajit Bandopadhyay, Sourav Dey, Latika Grover, et al.

Published: 2024-11-10
Subjects: Agriculture, Earth Sciences, Environmental Sciences, Food Science, Geography, Nature and Society Relations, Physical and Environmental Geography, Remote Sensing, Spatial Science

Fragmentation or the breakdown of landholdings to smaller parcels has an adverse impact on crop yields and productivity because of its uneconomic operational sizes. This comprehensive review reflects the insights into the complex dynamics of small landholding (SLs) in India by leveraging earth observation (EO) based sensing technology through synthesizing existing literature, methodologies and [...]

Flood Resilience Assessment of Interconnected Critical Infrastructures

Marlon Vieira Passos, Karina Barquet, Jung-Ching Kan, et al.

Published: 2024-11-07
Subjects: Civil and Environmental Engineering, Engineering, Environmental Engineering, Environmental Sciences, Risk Analysis, Systems Engineering, Water Resource Management

Undertaking systemic risk assessments of critical infrastructures (CIs) is necessary to improve understanding, mitigate impacts, and increase resilience to cascading effects of intensifying hydrometeorological hazards. This paper presents a novel quantitative approach for simulating local physical interdependencies between multiple infrastructure sectors that may be disrupted by floods. [...]

Global identification of solid waste methane super emitters using hyperspectral satellites

Xin Zhang, Joannes D. Maasakkers, Javier Roger, et al.

Published: 2024-11-01
Subjects: Atmospheric Sciences, Environmental Sciences

Solid waste disposal facilities are the third largest anthropogenic source of methane, and mitigating their emissions is crucial for addressing global climate change. We combine three high-resolution (30–60 m) hyperspectral satellite imagers (EMIT, EnMAP, and PRISMA) to quantify and monitor emissions from 38 disposal sites. These facilities are selected based on urban methane hot spots identified [...]

Geological and Environmental Implications of Enhanced Oil Recovery Techniques: Balancing Efficiency with Sustainability

Abdelrahman Magdy Mohammed Ahmed

Published: 2024-10-31
Subjects: Earth Sciences, Environmental Sciences, Geology, Oil, Gas, and Energy, Physical Sciences and Mathematics

This research paper explores the geological and environmental impacts of enhanced oil recovery (EOR) technology, focusing on the balance between efficiency and sustainability in fossil fuel extraction. EOR methods, including thermal recovery, gas injection, and chemical flooding, are critical to maximizing reservoir recovery, especially as global energy demand increases and conventional reserves [...]

Automated underwater image analysis reveals sediment patterns and megafauna distribution in the tropical Atlantic

BENSON ONYANGO Mbani, Jens Greinert

Published: 2024-10-30
Subjects: Environmental Monitoring, Environmental Sciences, Physical Sciences and Mathematics

The deep sea environment comprises diverse flora, fauna and habitats, whose characterisation is key towards our collective understanding of ocean health and resilience. Whereas direct sampling allows for detailed investigation of the vertical variability of seabed characteristics at small spatial scales, optical imaging is suitable for high-resolution assessment of the spatial distribution of [...]

Land conversions not climate effects are the dominant consequence of sun-driven CO2 capture, conversion, and sequestration

Moritz Adam, Thomas Kleinen, Matthias M. May, et al.

Published: 2024-10-29
Subjects: Environmental Sciences, Other Environmental Sciences

Removing carbon dioxide (CO2) from the atmosphere is required for mitigating climate change. Large-scale direct air capture combined with injecting CO2 into geological formations could retain carbon long-term, but demands a substantial amount of energy, pipeline infrastructure, and suitable sites for gaseous storage. Here, we study Earth system impacts of modular, sun-powered process chains, [...]

Harnessing nature-based solutions for economic recovery: a systematic review

Alexandre Chausson, Nathalie Seddon, Alison Smith, et al.

Published: 2024-10-25
Subjects: Biodiversity, Environmental Sciences, Natural Resources and Conservation, Sustainability

Nature-based solutions (NbS) involve working with nature to address societal challenges in ways that benefit communities and biodiversity locally. However, their role supporting economic recovery from crises, such as those arising from conflicts or pandemics remains underexplored. To address this knowledge gap, we conducted a systematic review of 66 reviews on the economic impact of nature-based [...]

Application of machine learning methods to forecast petrophysical properties in basalts of the Serra Geral Group: Implications for carbon storage

João Paulo Guilherme Rodrigues Alves, Claudio Riccomini

Published: 2024-10-22
Subjects: Artificial Intelligence and Robotics, Computer Sciences, Earth Sciences, Environmental Sciences, Geophysics and Seismology, Oil, Gas, and Energy, Physical Sciences and Mathematics

This study applies machine learning techniques for forecasting petrophysical properties (density, porosity, and permeability) in the basalts of the Serra Geral Group, located in the Paraná Basin, Brazil. These properties are crucial for the successful implementation of carbon capture and storage (CCS), an important technology to combat climate change. Employing machine learning models—XGBoost, [...]

Computational Modeling of Climate Change Impacts on Flood Inflows Using Remote Sensing and SWAT: A Case Study of Ban Chat Reservoir, Northern Vietnam

Vu Thi Phuong Thao, Vu Anh Le

Published: 2024-10-22
Subjects: Earth Sciences, Environmental Sciences, Numerical Analysis and Computation, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

This study examines the changes in land cover and three water quality indicators (chlorophyll-a, colored dissolved organic matter, turbidity) using Sentinel-2 imagery in the Ban Chat hydropower area in Northern Vietnam during the period of 2016--2024. To assess the potential impact of flood flows into the Ban Chat reservoir, key information is extracted from remote sensing data, which is the [...]

Understanding the Li resource of granite hosted geothermal brines using near surface measurements

Andrew David Robinson, Sanem Acikalin, Gavin Stewart, et al.

Published: 2024-10-18
Subjects: Chemistry, Environmental Sciences, Physical Sciences and Mathematics, Statistics and Probability

Unprecedented demand for lithium (Li) is being driven by electric vehicle batteries. Currently, the majority of Li comes from pegmatite mining and salar brines, however, new sources such as geothermal brines will be required to meet future demand. The North Pennines, Northern England has been found to host brines with lithium concentrations exceeding 90 mg/L at depths from 411 to 996 m. However, [...]

Single-station vehicle tracking using six-component seismic measurements: A comparative study with array-based methods

Shihao Yuan, Felix Bernauer, Joachim Wassermann, et al.

Published: 2024-10-14
Subjects: Earth Sciences, Environmental Sciences

Determining the direction of seismic waves is crucial for many applications, from monitoring natural hazards like avalanches and landslides to detecting nuclear explosions and conducting surveillance. Traditional methods rely on arrays of seismic sensors arranged in specific patterns, but deploying these arrays can be challenging or impossible in many environments, such as cities, ocean floors, [...]

Prediction of the daily spatial variation of stem water potential in cherry orchards using weather and Sentinel-2 data

Francisco Zambrano, Abel Herrera, Mauricio Olguín, et al.

Published: 2024-10-11
Subjects: Environmental Engineering, Environmental Monitoring, Environmental Sciences, Water Resource Management

The common practice for irrigation management is to apply the water lost by evapotranspiration. However, we could manage the irrigation by monitoring the plant's water status by measuring the stem water potential (Ψs), which is currently costly and time-consuming. The primary goal of this work is to predict the daily spatial variation of Ψs using machine learning models. We measured Ψs in two [...]

Virtual laser scanning of dynamic scenes (VLS-4D): Current approaches and future perspectives in remote sensing

Hannah Weiser, Bernhard Höfle

Published: 2024-10-07
Subjects: Computer Sciences, Earth Sciences, Environmental Sciences, Geographic Information Sciences, Geography, Numerical Analysis and Scientific Computing, Physical and Environmental Geography, Remote Sensing

Virtual laser scanning (VLS) has proven to be a useful tool for survey planning, method development and training data generation in a variety of areas of Earth and environmental sciences. Until recently, most applications have used static representations of the real or a fictive environment, neglecting the inherent dynamics of our world, that also affect Light Detection and Ranging (LiDAR) [...]

How can Light Pollution over the City of Mumbai be Assessed and Reversed?

Anandi Khandeparkar

Published: 2024-10-05
Subjects: Earth Sciences, Environmental Sciences, Physics

Light pollution, which adversely affects entire ecosystems, is a lesser-known but completely reversible form of pollution. The financial capital of India, Mumbai has been experiencing a steady rise in light pollution levels. This research article aims to answer the question “How can light pollution over the city of Mumbai be assessed and reversed?” It uses satellite data to map radiance levels [...]

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