Monitoring post-earthquake recovery and conducting impact factor analyses based on nighttime light data

This study analyzes post-earthquake recovery in seven Chinese regions impacted by the 2013 Lushan earthquake using nighttime light (NTL) data from 2012–2020 and advanced statistical methods, including loess decomposition and XGBoost-SHAP. The results indicate that by the end of 2020, all counties except Baoxing showed substantial recovery, with Qionglai achieving the highest pre-earthquake increase (91.62 %) in total nighttime light (TNL) brightness. The pre-earthquake TNL growth rates for Lushan, Mingshan, Pujiang, Tianquan, and Yucheng were 37.1 %, 42.5 %, 73.63 %, 40.57 %, and 38.01 %, respectively. Post-earthquake, all counties, except Mingshan, experienced a contraction in built-up areas, with reductions of 31.91 % (Baoxing), 14.34 % (Lushan), 58.65 % (Pujiang), 53.23 % (Tianquan), 47.67 % (Qionglai), and 6.34 % (Yucheng). Key socioeconomic factors—infrastructure improvements (particularly in transportation), steady growth in secondary industries (industrial and construction sectors), and the development of tertiary industries (including education and tourism)—played a significant positive role in post-earthquake recovery in these regions. This study provides valuable insights into the impacts of earthquakes on regional development and offers a basis for evaluating post-earthquake recovery progress and formulating effective disaster recovery strategies.

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Publication Details

Journal
Human Settlements and Sustainability
Published
2025-04-18
DOI
https://doi.org/10.1016/j.hssust.2025.04.002
Citations
1
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
1.11

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article

Monitoring post-earthquake recovery and conducting impact factor analyses based on nighttime light data

Yuqing Zhang, Liang Tang
1 citations
Human Settlements and Sustainability
Impact of Light on Environment and Health
1.11
article

Monitoring post-earthquake recovery and conducting impact factor analyses based on nighttime light data

Yuqing Zhang, Liang Tang
article en
1 citations

Abstract

This study analyzes post-earthquake recovery in seven Chinese regions impacted by the 2013 Lushan earthquake using nighttime light (NTL) data from 2012–2020 and advanced statistical methods, including loess decomposition and XGBoost-SHAP. The results indicate that by the end of 2020, all counties except Baoxing showed substantial recovery, with Qionglai achieving the highest pre-earthquake increase (91.62 %) in total nighttime light (TNL) brightness. The pre-earthquake TNL growth rates for Lushan, Mingshan, Pujiang, Tianquan, and Yucheng were 37.1 %, 42.5 %, 73.63 %, 40.57 %, and 38.01 %, respectively. Post-earthquake, all counties, except Mingshan, experienced a contraction in built-up areas, with reductions of 31.91 % (Baoxing), 14.34 % (Lushan), 58.65 % (Pujiang), 53.23 % (Tianquan), 47.67 % (Qionglai), and 6.34 % (Yucheng). Key socioeconomic factors—infrastructure improvements (particularly in transportation), steady growth in secondary industries (industrial and construction sectors), and the development of tertiary industries (including education and tourism)—played a significant positive role in post-earthquake recovery in these regions. This study provides valuable insights into the impacts of earthquakes on regional development and offers a basis for evaluating post-earthquake recovery progress and formulating effective disaster recovery strategies.

Human Settlements and SustainabilityVol. 1(2)
Liaoning Normal University (CN), Northeastern University (CN)
Department of Education of Liaoning Province, Liaoning Revitalization Talents Program
Climate action
Openalex Percentile: Top 25%
Impact of Light on Environment and Health
1.11
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Monitoring post-earthquake recovery and conducting impact factor analyses based on nighttime light data — Yuqing Zhang, Liang Tang · Human Settlements and Sustainability (2025) | TGRS Research Map | TGRS