Prediction of changes in war-induced population and CO₂ | ResearchBunny

Index

Abstract

This paper presents a novel method for monitoring the near-real-time changes in war-induced population displacement and anthropogenic CO₂ emissions in Ukraine using social media data. Leveraging geo-tagged Twitter data, along with baseline population and CO₂ emission data (GRACED), the study estimates monthly changes in population and CO₂ emissions across three sectors (residential, transport, and industry). The findings show a significant correlation between estimated and reference CO₂ emission changes, highlighting the potential of this approach for humanitarian assistance and climate policy formulation.

Publisher

Humanities and Social Sciences Communications

Published On

Jul 05, 2024

Authors

Zhenjie Liu, Jun Li, Haonan Chen, Lizhe Wang, Jun Yang, Antonio Plaza

Related Publications

Explore these studies to deepen your understanding of the subject.

Social Work

The effect of social media engagement on social integration of elderly migrants in China: the mechanism of perceived social support and psychological resilience

L. He, H. B. M. Adnan, et al.

Psychology

The aftermath of war; mental health, substance use and their correlates with social support and resilience among adolescents in a post-conflict region of Sri Lanka

L. Dissanayake, S. Jabir, et al.

Medicine and Health

Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing

K. Leung, J. T. Wu, et al.

Economics

Changes in spatiotemporal pattern and network characteristics in population migration of China's cities before and after COVID-19

Y. Zhang, X. Guo, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 12+ languages.

No more digging through PDFs—just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny