Advancing shipping NO x pollution estimation through a satellite-based approach

Zhenyu Luo; Tingkun He; Wen Yi; Junchao Zhao; Zhining Zhang; Yongyue Wang; Huan Liu; Kebin He

doi:10.1093/pnasnexus/pgad430

Advancing shipping NO _x pollution estimation through a satellite-based approach

PNAS Nexus. 2023 Dec 11;3(1):pgad430. doi: 10.1093/pnasnexus/pgad430. eCollection 2024 Jan.

Authors

Zhenyu Luo¹, Tingkun He¹, Wen Yi¹, Junchao Zhao¹, Zhining Zhang¹, Yongyue Wang¹, Huan Liu¹, Kebin He¹

Affiliation

¹ State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.

Abstract

Estimating shipping nitrogen oxides (NO_x) emissions and their associated ambient NO₂ impacts is a complex and time-consuming task. In this study, a satellite-based ship pollution estimation model (SAT-SHIP) is developed to estimate regional shipping NO_x emissions and their contribution to ambient NO₂ concentrations in China. Unlike the traditional bottom-up approach, SAT-SHIP employs satellite observations with varying wind patterns to improve the top-down emission inversion methods for individual sectors amidst irregular emission plume signals. Through SAT-SHIP, shipping NO_x emissions for 17 ports in China are estimated. The results show that SAT-SHIP performed comparably with the bottom-up approach, with an R² value of 0.8. Additionally, SAT-SHIP reveals that the shipping sector in port areas contributes ∼21 and 11% to NO₂ concentrations in the Yangtze River Delta and Pearl River Delta areas of China, respectively, which is consistent with the results from chemical transportation model simulations. This approach has practical implications for policymakers seeking to identify pollution sources and develop effective strategies to mitigate air pollution.

Keywords: air quality impacts; satellite observation; shipping emission.