No evidence for global decrease in CO concentration during the first wave of COVID-19 pandemic.

Numerous studies have reported that CO emissions have decreased because of global lockdown during the first wave of the COVID-19 pandemic. However, previous estimates of the global CO concentration before and after the outbreak of the COVID-19 pandemic are limited because they are based on energy consumption statistics or local specific in-situ observations. The aim of the study was to explore objective evidence for various previous studies that have claimed the global CO concentration decreased during the first wave of the COVID-19 pandemic.

Evaluating the Mutual Relationship between IPAT/Kaya Identity Index and ODIAC-Based GOSAT Fossil-Fuel CO Flux: Potential and Constraints in Utilizing Decomposed Variables.

The IPAT/Kaya identity is the most popular index used to analyze the driving forces of individual factors on CO emissions. It represents the CO emissions as a product of factors, such as the population, gross domestic product (GDP) per capita, energy intensity of the GDP, and carbon footprint of energy. In this study, we evaluated the mutual relationship of the factors of the IPAT/Kaya identity and their decomposed variables with the fossil-fuel CO flux, as measured by the Greenhouse Gases Observing Satellite (GOSAT).

Differentiating carbon sinks versus sources on a university campus using synergistic UAV NIR and visible signatures.

This research proposes a framework for quantitatively differentiating carbon sinks versus sources, utilizing synergistic NIR (near-infrared) and visible signatures acquired from UAV (unmanned aerial vehicle). UAV NIR and visible imagery acquired at 70-m flying altitude identified the major types of carbon sinks versus sources, such as vegetation and constructed surfaces (e.g.

Metropolitan urban hotspots of chronic sleep deprivation: evidence from a community health survey in Gyeongbuk Province, South Korea.

The geographic concentration of chronic sleep deprivation (CSD) remains largely unexplored. This paper examined the community-specific spatial pattern of the prevalence of CSD and the presence of clustered spatial hotspots among the Korean elderly population in Gyeongbuk Province, South Korea, revealing CSD hotspots and underscoring the importance of geography-focused prevention strategies. The study analysed cross-sectional data collected from 9847 elderly individuals aged 60 years and older who participated in a Korean Community Health Survey conducted in 2012.