文献类型：期刊文献

英文题名：Integrating InSAR coherence and air pollution detection satellites to study the impact of war on air quality

作者：Mohamadi, Bahaa[1];Abu Ghazala, Mohamed O.[2];Li, Huxiong[1];Al-Sabbagh, Tamer A.[3];Younes, Ali[4]

机构：[1]Shaoxing Univ, Inst Artificial Intelligence, Sch Intelligent Engn, Shaoxing 312000, Peoples R China;[2]Tanta Univ, Fac Arts, Geog & GIS Dept, Tanta 31521, Egypt;[3]High Inst Literary Studies, Dept Geog, Alexandria 23713, Egypt;[4]Kafrelsheikh Univ, Fac Arts, Geog & GIS Dept, Kafrelsheikh 33516, Egypt

年份：2025

卷号：142

外文期刊名：INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION

收录：SCI-EXPANDED(收录号：WOS:001523364600001)、、Scopus(收录号：2-s2.0-105009297552)、WOS

基金：This research was funded by the Zhejiang Province Science and Technology Plan, grant number 2025C01074 and the Natural Science Foundation of Zhejiang grant number LY23F020006.

语种：英文

外文关键词：Air pollution; Coherence change detection (CCD); Gaza strip; Interferometric synthetic aperture radar; (InSAR); Israeli-palastinian conflect

外文摘要：Wars profoundly affect air quality due to infrastructure loss, military activities, and population displacement; nevertheless, limited studies have thoroughly examined these impacts by remote sensing, with most offering broad evaluations lacking geographical correlation to particular damage. This study presents a novel method that combines Interferometric Synthetic Aperture Radar (InSAR) coherence change detection (CCD) with air quality data from satellites to examine the environmental effects of military actions. In this study, InSAR CCD was utilized to detect damaged areas during military operations. Focusing on the war in the Palestinian Gaza Strip following the 7 October 2023 attacks, the research investigates changes in key air quality indicators (PM2.5, NO2, SO2, O3, HCHO, CH4, CO, and UVAI) over the first six months of conflict. Air pollution levels during the war were compared to the same period in the previous year to identify wartime-related shifts. Information from InSAR coherence was collected during the six months of war and compared to the air quality data by segmenting the study time into 18 different periods. Results reveal distinct shifts in pollutant correlations with coherence, indicating war-induced environmental degradation. PM2.5 and CO exhibited a reversal from positive to negative correlations post-conflict onset (Pearson's r: +0.122 to -0.195 and +0.089 to -0.118, respectively), linking destruction to increased particulate and carbon monoxide emissions. CH4 and HCHO correlations similarly inverted after Israel's full-scale land invasion (Kendall's tau: +0.125 to -0.096 and +0.062 to -0.080, respectively). Geographically weighted regression (GWR) analysis, used for spatiotemporal analysis, pinpointed pollution hotspots that corresponded with the operational phases of the IDF. This study advances conflictenvironment research by coupling InSAR coherence with air quality dynamics, offering a replicable framework for wartime pollution assessment. Findings emphasize the need to implement conflict-sensitive environmental policies and open-source high-resolution satellite monitoring in war zones.