Future Global O₃ Pollution Projections and Health Impact Estimations

ID: 2037

Presenting Author: Xingcheng Lu

Session: 572 - Fit For Future and Act at Present: Impact Assessment for Leveraging Challenges and Opportunities from Climate Change Mitigation and Adaptation

Status: pending


Summary Statement

High-resolution projections of global surface O₃ (2010–2100)
reveal emission- and meteorology-driven disparities,
emphasizing the need for urgent mitigation and adaptation
strategies.


Abstract

Ozone (O₃) poses significant threats to human health and
the environment. However, current Coupled Model Intercomparison
Project Phase 6 (CMIP6) datasets lack high-resolution global records
of historical surface O₃ and future projections of maximum daily 8-hour
average ozone (MDA8 O₃) concentrations, with coarse spatial resolutions
(50-250 km).

To address these gaps, we developed a high-resolution
global monthly surface O₃ dataset (2010-2019) using a
deep residual neural network (ResNet) model at a
0.1° × 0.1° spatial scale. The model integrates satellite
observations, meteorological reanalysis, anthropogenic
emission inventories, and auxiliary predictors to reconstruct
detailed O₃ distributions. Building on this, we generated a
global, spatially explicit MDA8 O₃ dataset (2021-2100)
using deep learning with reanalysis data, emission
inventories, and bias-corrected CMIP6 climate projections
under multiple Shared Socioeconomic Pathways (SSPs).

Preliminary results suggest global MDA8 O₃ concentrations
may decline under low-emission scenarios but increase in
high-emission scenarios due to complex O₃ formation
chemistry. Despite reductions in NOx, CO, and VOC
emissions, ozone pollution persists or worsens in some
regions. Inequality in O₃ exposure is projected to grow,
with low-income countries facing higher risks. Health
burden analyses indicate rising premature mortality under
most scenarios, highlighting the urgent need for mitigation
and adaptation strategies to address O₃ pollution in a
changing climate.


Author Bio

Xingcheng Lu is an Assistant Professor in the
Department of Geography and Resource Management
at CUHK. His research interests include air pollution
and its health impact analysis.


Coauthor 1: Yuxiao Jiang

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