阿迪亚曼市震后废墟清理过程中的微粒物质污染评估

Ercan Vural
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引用次数: 0

摘要

世界上和土耳其的严重地震会造成巨大的生命和财产损失、环境问题和健康问题。除了生命和财产损失,地震还与生态系统、空气、水和土壤污染密切相关。特别是在地震后的废墟清理过程中,会释放出大量的微粒物质,可能会对当地居民的健康造成负面影响。本研究的目的是在 2023 年 5 月和 8 月使用 CEM DT 9880 颗粒物测量仪检测阿迪亚曼市 25 个不同地点在废墟清理过程中的两种颗粒物污染。实地测量了对人体健康有重大影响的 PM2.5 和 PM10。获得的数据使用 ArcGIS 10.7 软件中的反距离加权法(IDW)进行分析。结果表明,大面积拆迁的街区颗粒物污染最高。Barbaros Hayrettin、Hoca Omer、Yesilyurt 和 Varlik 居民区的 PM2.5 污染值最高,而拆迁量最小的 Altinsehir 和 Yunus Emre 居民区的 PM2.5 污染值最低。在 PM10 污染方面,Alitasi、Barbaros Hayrettin、Sumerevler 和 Hoca Omer 居民区的污染水平最高,而 Yunus Emre 和 Yesilyurt 居民区的污染水平最低。与其他地区相比,绿地及其周边地区的可吸入颗粒物污染水平较低。
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Assessment of Particle Matter Pollution during Post-Earthquake Debris Removal in Adiyaman City
Severe earthquakes in the world and in Turkey can cause great loss of life and property, environmental problems and health problems. In addition to the loss of life and property, earthquakes are closely related to ecosystems, air, water, and soil pollution. Particularly in post-earthquake debris removal, very large amounts of particulate matter are released and may have negative effects on the health of the local population. This study aimed to detect two types of particle matter pollution during debris removal in 25 different locations in Adiyaman City using a CEM DT 9880 particle matter measuring device in May and August 2023. PM2.5 and PM10 measurements, which have a significant impact on human health, were conducted in the field. The obtained data were analyzed using the Inverse Distance Weighting (IDW) method in ArcGIS 10.7 software. Results showed that the highest particle matter pollution was identified in neighborhoods with extensive demolition. The highest PM2.5 pollution values were recorded in Barbaros Hayrettin, Hoca Omer, Yesilyurt, and Varlik neighborhoods, while the lowest was observed in Altinsehir and Yunus Emre neighborhoods with minimal demolition. As for PM10 pollution, the highest levels were observed in Alitasi, Barbaros Hayrettin, Sumerevler, and Hoca Omer neighborhoods, while the lowest was detected in Yunus Emre and Yesilyurt neighborhoods. Green areas and their surroundings in the field exhibited lower levels of PM pollution compared to other areas.
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