Preprints

Filtering by Subject: Environmental Monitoring

Urban Air Quality Modeling Using Low-Cost Sensor Network and Data Assimilation in the Aburra Valley, Colombia

Santiago Lopez-Restrepo, Andres Yarce, Nicolas Pinel, O. Lucia Quintero, Arjo Segers, Arnold W. Heemink

Published: 2020-10-29
Subjects: Applied Mathematics, Atmospheric Sciences, Environmental Monitoring

The use of low air quality networks has been increasing in recent years to study urban pollution dynamics. Here we show the evaluation of the operational Aburra Valley's low-cost network against the official monitoring network. The results show that the PM2.5 low-cost measurements are very close to those observed by the official network. Additionally, the low-cost allows a higher spatial [...]

Spatial Disaggregation of Particulate Matter Emission Inventory in the Metropolitan Area of Aburr\'a Valley for Air Quality Modelling

Santiago Lopez Restrepo, Andres Yarce, Nicolas Pinel, O. Lucia Quintero, Arjo Segers, Arnold W. Heemink

Published: 2020-10-24
Subjects: Environmental Monitoring, Other Environmental Sciences

In this paper a local emission inventory for PM10 and PM2.5 is presented that has been developed using a top-down spatial disaggregation of the official emission inventory for the Metropolitan Area of the Aburra Valley in Colombia. The local emission inventory was evaluated using the LOTOS-EUROS Chemical Transport Model in a high-resolution simulation, and compared with the global emission [...]

Structure-from-Motion on shallow reefs and beaches: potential and limitations of consumer-grade drones to reconstruct topography and bathymetry

C. Gabriel David, Nina Kohl, Elisa Casella, Alessio Rovere, Pablo Ballesteros, Torsten Schlurmann

Published: 2020-10-21
Subjects: Civil Engineering, Engineering, Environmental Engineering, Environmental Monitoring, Environmental Studies, Fluid Dynamics, Fresh Water Studies, Geographic Information Sciences, Hydraulic Engineering, Other Civil and Environmental Engineering, Other Environmental Sciences, Remote Sensing

Reconstructing the topography of shallow underwater environments using Structure-from-Motion – Multi View Stereo (SfM-MVS) techniques applied to aerial imagery from Unmanned Aerial Vehicles (UAVs) is a challenging problem, as it involves non-linear distortions caused by water refraction. This study presents an experiment with aerial photographs collected with a consumer-grade UAV on the [...]

A machine learning approach for prioritizing groundwater testing for per-and polyfluoroalkyl substances (PFAS)

Sarabeth George, Atray Dixit

Published: 2020-10-19
Subjects: Environmental Engineering, Environmental Health and Protection, Environmental Monitoring, Geochemistry, Hydrology, Risk Analysis, Water Resource Management

Regulatory agencies are beginning to recognize per-and polyfluoroalkyl substances (PFAS) as concerning and bioaccumulative compounds of which the use and environmental burden must be reduced. In the specific context of groundwater management, testing and mitigation strategies are desirable but can be time and cost-intensive processes. As a result, only a fraction of all groundwater wells has had [...]

A continental-scale assessment of density, size, distribution, and historical trends of Australian farm dams

Martino E. Malerba, Nicholas Wright, Peter Macreadie

Published: 2020-09-01
Subjects: Environmental Monitoring, Environmental Sciences, Natural Resources and Conservation, Natural Resources Management and Policy, Physical Sciences and Mathematics, Water Resource Management

Australia is the second driest continent on Earth and freshwater is, therefore, a critical policy concern. Farm dams are ubiquitous and drive AU$17.7 billion of agricultural value, yet there has never been a formal census of Australian dams. In this study, we present a continental-scale assessment on density, distribution, and historical trends of farm dams in each State and Territory of [...]

What does the NDVI really tell us about crops? Insight from proximal spectral field sensors

Jon Atherton, Chao Zhang, jaakko Oivukkamäki, Liisa Kulmala, Shan Xu, Teemu Hakala, Eija Honkavaara, Alasdair MacArthur, Albert Porcar-Castell

Published: 2020-09-01
Subjects: Environmental Monitoring, Environmental Sciences, Other Physical Sciences and Mathematics, Physical Sciences and Mathematics

The use of remote sensing in agriculture is expanding due to innovation in sensors and platforms. Drones, high resolution instruments on CubeSats, and robot mounted proximal phenotyping sensors all feature in this drive. Common threads include a focus on high spatial and spectral resolution coupled with the use of machine learning methods for relating observations to crop parameters. As the [...]

Citizen science reveals the population exposure to air pollution

Filip Meysman, Sam De Craemer, Wouter Lefebvre, Jordy Vercauteren, Vincent Sluydts, Evi Dons, Hans Hooyberghs, Joris Van den Bossche, Elke Trimpeneers, Frans Fierens

Published: 2020-08-18
Subjects: Environmental Monitoring, Environmental Sciences, Physical Sciences and Mathematics

Air pollution remains a key environmental problem in an increasingly urbanized world. To quantify health impacts and support informed policies, the population exposure needs to be accurately monitored. However, the inherent spatial variability of air quality poses a tenacious challenge to this. While concentrations of traffic-related pollutants like nitrogen dioxide (NO2) are known to vary over [...]

Bridging the gap between geophysics and geology with Generative Adversarial Networks (GANs)

Suihong Song, Tapan Mukerji, Jiagen Hou

Published: 2020-08-16
Subjects: Artificial Intelligence and Robotics, Computer Sciences, Databases and Information Systems, Earth Sciences, Environmental Monitoring, Environmental Sciences, Geology, Geomorphology, Geophysics and Seismology, Natural Resource Economics, Oil, Gas, and Energy, Other Earth Sciences, Physical Sciences and Mathematics, Sedimentology, Water Resource Management

Inverse mapping from geophysics to geology is a difficult problem due to the inherent uncertainty of geophysical data and the spatially heterogeneous patterns (structure) in geology. We describe GANSim, a type of generative adversarial networks (GANs) that discovers the mapping between remotely-sensed geophysical information and geology with realistic patterns, with a specially designed loss [...]

GeospatialVR: A Web-based Virtual Reality Framework for Collaborative Environmental Simulations

Yusuf Sermet, Ibrahim Demir

Published: 2020-08-08
Subjects: Civil and Environmental Engineering, Computer Sciences, Databases and Information Systems, Engineering, Environmental Engineering, Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Graphics and Human Computer Interfaces, Physical Sciences and Mathematics

This research introduces GeospatialVR, an open-source collaborative virtual reality framework to dynamically create 3D real-world environments that can be served on any web platform and accessed via desktop and mobile devices and virtual reality headsets. The framework can generate realistic simulations of desired locations entailing the terrain, elevation model, infrastructures, dynamic [...]

Adopting deep learning methods for airborne RGB fluvial scene classification.

Patrice Carbonneau, Stephen Dugdale, Toby Breckon, James Dietrich, Mark Fonstad, Hitoshi Miyamoto, Amy Woodget

Published: 2020-07-18
Subjects: Environmental Monitoring, Environmental Sciences, Physical Sciences and Mathematics

River environments are among the world’s most threatened ecosystems. Enabled by the rapid development of drone technology, hyperspatial resolution (<10 cm) images of fluvial scenes are now a common data source used to better understand these sensitive habitats. However, the task of image classification remains challenging for this type of imagery and the application of traditional [...]

Sedimentary structures discriminations with hyperspectral imaging on sediment cores

Kévin Jacq, Rapuc William, Benoit Alexandre, Coquin Didier, Fanget Bernard, Yves Perrette, Pierre Sabatier, Wilhelm Bruno, Debret Maxime, Fabien Arnaud

Published: 2020-07-17
Subjects: Analytical Chemistry, Chemistry, Earth Sciences, Environmental Chemistry, Environmental Monitoring, Environmental Sciences, Multivariate Analysis, Optics, Physical Sciences and Mathematics, Physics, Sedimentology, Statistical Models, Statistics and Probability

Hyperspectral imaging (HSI) is a non-destructive high-resolution sensor, which is currently under significant development to analyze geological areas with remote devices or natural samples in a laboratory. In both cases, the hyperspectral image provides several sedimentary structures that need to be separated to temporally and spatially describe the sample. Sediment sequences are composed of [...]

Range-based intensity normalization of ALS data over forested areas using a sensor tracking method from multiple returns

Jean-Romain Roussel, Jean-François Bourdon, Alexis Achim

Published: 2020-07-10
Subjects: Education, Engineering, Environmental Monitoring, Environmental Sciences, Forest Management, Forest Sciences, Life Sciences, Natural Resources Management and Policy, Other Forestry and Forest Sciences, Physical Sciences and Mathematics

Airborne laser scanning (ALS) point-clouds are used in forest inventory to map properties of the resource. In most cases, only the (x,y,z) coordinates of the point cloud are used to build predictive models of forest structure. Despite being recorded and provided by data suppliers, the intensity values associated with each point are rarely used as an input to such models because raw intensity [...]

Towards local bioeconomy: A stepwise framework for high-resolution spatial quantification of forestry residues

Shivesh Kishore Karan, Lorie Hamelin

Published: 2020-07-08
Subjects: Education, Engineering, Environmental Monitoring, Environmental Sciences, Life Sciences, Natural Resources and Conservation, Other Environmental Sciences, Physical Sciences and Mathematics, Sustainability

In the ambition of a transition from fossil carbon use, forestry residues are attracting considerable attention as a feedstock for the future bioeconomy. However, there is a limited spatially explicit understanding of their availability. Confronted with limited resources for extensive field measurement campaigns, there are also limited discussions on the best practices towards a harmonized [...]

Climate has contrasting direct and indirect effects on armed conflicts

David Helman, Ben Zaitchik, Chris Funk

Published: 2020-07-08
Subjects: Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Environmental Studies, Geography, Human Geography, International and Area Studies, Library and Information Science, Life Sciences, Nature and Society Relations, Physical and Environmental Geography, Physical Sciences and Mathematics, Remote Sensing, Social and Behavioral Sciences, Statistics and Probability

There is an active debate regarding the influence that climate has on the risk of armed conflict, which stems from challenges in assembling unbiased datasets, competing hypotheses on the mechanisms of climate influence, and the difficulty of disentangling direct and indirect climate effects. We use gridded historical non-state conflict records, satellite data, and land surface models in a [...]

Surprising increase in aerosol amid widespread decline in pollution over India during the COVID19 Lockdown

Satyndera Kumar Pandey, Vinoj V

Published: 2020-07-06
Subjects: Atmospheric Sciences, Climate, Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

Using ground-based and satellite observation along with aerosol reanalysis products, we show a widespread reduction in aerosol loading over the Indian subcontinent during the COVID19 lockdown. In terms of aerosol optical depth (AOD), loading has reduced up to 40 % over the most populated region of India. However, the central part of India shows an unexpected increase (~+20 %) in aerosol optical [...]

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