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Related papers: Reconstructing Carbon Monoxide Reanalysis with Mac…

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Global ambient air pollution, a transboundary challenge, is typically addressed through interventions relying on data from spatially sparse and heterogeneously placed monitoring stations. These stations often encounter temporal data gaps…

Machine Learning · Computer Science 2024-02-19 Liam J Berrisford , Hugo Barbosa , Ronaldo Menezes

Atmospheric Carbon Monoxide (CO) provides a window on the chemistry of the atmosphere since it is one of few chemical constituents that can be remotely sensed, and it can be used to determine budgets of other greenhouse gases such as ozone…

Air pollution poses a significant threat to public health and well-being, particularly in urban areas. This study introduces a series of machine-learning models that integrate data from the Sentinel-5P satellite, meteorological conditions,…

Machine Learning · Computer Science 2024-05-31 Giacomo Blanco , Luca Barco , Lorenzo Innocenti , Claudio Rossi

We propose a methodology to enhance local CO2 monitoring by integrating satellite data from the Orbiting Carbon Observatories (OCO-2 and OCO-3) with ground level observations from the Integrated Carbon Observation System (ICOS) and weather…

Machine Learning · Computer Science 2024-10-08 Oskar Åström , Carina Geldhauser , Markus Grillitsch , Ola Hall , Alexandros Sopasakis

Climate change may be classified as the most important environmental problem that the Earth is currently facing, and affects all living species on Earth. Given that air-quality monitoring stations are typically ground-based their abilities…

Machine Learning · Computer Science 2023-05-08 Andrew Rowley , Oktay Karakuş

To limit global warming to pre-industrial levels, global governments, industry and academia are taking aggressive efforts to reduce carbon emissions. The evaluation of anthropogenic carbon dioxide (CO$_2$) emissions, however, depends on the…

Atmospheric and Oceanic Physics · Physics 2022-10-25 Zhengwen Zhang , Jinjin Gu , Junhua Zhao , Jianwei Huang , Haifeng Wu

This paper addresses the environmental impacts linked to hazardous emissions from gas turbines, with a specific focus on employing various machine learning (ML) models to predict the emissions of Carbon Monoxide (CO) and Nitrogen Oxides…

Signal Processing · Electrical Eng. & Systems 2025-01-31 Kamyar Zeinalipour , Laure Barriere , David Ghelardi , Marco Gori

Clouds play a key role in regulating climate change but are difficult to simulate within Earth system models (ESMs). Improving the representation of clouds is one of the key tasks towards more robust climate change projections. This study…

Atmospheric and Oceanic Physics · Physics 2024-10-28 A. Kaps , A. Lauer , G. Camps-Valls , P. Gentine , L. Gómez-Chova , V. Eyring

We used archival data acquired with the Copernicus satellite to reexamine CO column densities because self-consistent oscillator strengths are now available. Our focus is on lines of sight containing modest amounts of molecular species. Our…

Astrophysics · Physics 2014-10-13 T. Crenny , S. R. Federman

Air pollution is a serious issue in the world. Around 98% of cities with a population of over 100,000 people in low and middle-income countries do not meet air quality standards, while in high-income countries, the number has decreased by…

Signal Processing · Electrical Eng. & Systems 2019-11-27 Purwantoro , Arip Solehudin , Nono Heryana

Estimating health benefits of reducing fossil fuel use from improved air quality provides important rationales for carbon emissions abatement. Simulating pollution concentration is a crucial step of the estimation, but traditional…

General Economics · Economics 2021-06-01 Da Zhang , Qingyi Wang , Shaojie Song , Simiao Chen , Mingwei Li , Lu Shen , Siqi Zheng , Bofeng Cai , Shenhao Wang

The climatic challenges are rising across the globe in general and in worst hit under-developed countries in particular. The need for accurate measurements and forecasting of pollutants with low-cost deployment is more pertinent today than…

Machine Learning · Computer Science 2021-04-27 Yousuf Hashmy , ZillUllah Khan , Rehan Hafiz , Usman Younis , Tausif Tauqeer

Reducing Carbon dioxide (CO2) emission is vital at both global and national levels, given their significant role in exacerbating climate change. CO2 emission, stemming from a variety of industrial and economic activities, are major…

Applications · Statistics 2024-05-07 Hamed Khosravi , Ahmed Shoyeb Raihan , Farzana Islam , Ashish Nimbarte , Imtiaz Ahmed

The most recent concern of all people on Earth is the increase in the concentration of greenhouse gas in the atmosphere. The concentration of these gases has risen rapidly over the last century and if the trend continues it can cause many…

Machine Learning · Computer Science 2022-11-16 Samveg Shah , Shubham Thakar , Kashish Jain , Bhavya Shah , Sudhir Dhage

Air pollution is a major driver of climate change. Anthropogenic emissions from the burning of fossil fuels for transportation and power generation emit large amounts of problematic air pollutants, including Greenhouse Gases (GHGs). Despite…

Machine Learning · Computer Science 2021-09-01 Linus Scheibenreif , Michael Mommert , Damian Borth

Carbon Monoxide (CO) is a dominant pollutant in urban areas due to the energy generation from fossil fuels for industry, automobile, and domestic requirements. Forecasting the evolution of CO in real-time can enable the deployment of…

Machine Learning · Computer Science 2025-01-14 Sanchit Bedi , Karn Tiwari , Prathosh A. P. , Sri Harsha Kota , N. M. Anoop Krishnan

The quality of air is closely linked with the life quality of humans, plantations, and wildlife. It needs to be monitored and preserved continuously. Transportations, industries, construction sites, generators, fireworks, and waste burning…

Machine Learning · Computer Science 2023-04-20 Amisha Gangwar , Sudhakar Singh , Richa Mishra , Shiv Prakash

Air pollution constitutes a global problem of paramount importance that affects not only human health, but also the environment. The existence of spatial and temporal data regarding the concentrations of pollutants is crucial for performing…

Machine Learning · Computer Science 2024-02-13 Teresa Bernardino , Maria Alexandra Oliveira , João Nuno Silva

Aerosol scattering influences the retrieval of the column-averaged dry-air mole fraction of CO2 (XCO2) from the Orbiting Carbon Observatory-2 (OCO-2). This is especially true for surfaces with reflectance close to a critical value where…

Atmospheric and Oceanic Physics · Physics 2022-01-26 Sihe Chen , Vijay Natraj , Zhao-Cheng Zeng , Yuk-ling Yung

Air pollution in urban areas has severe consequences for both human health and the environment, predominantly caused by exhaust emissions from vehicles. To address the issue of air pollution awareness, Air Pollution Monitoring systems are…

Machine Learning · Computer Science 2023-07-04 Hemanth Karnati
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