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Health Risk Assessment of Radioactive Footprints of the Urban Soils in the Residents of Dera Ghazi Khan, Pakistan
Chemosphere ( IF 8.8 ) Pub Date : 2020-12-02 , DOI: 10.1016/j.chemosphere.2020.129171
Sidra Ghias , Khizer Hayat Satti , Mumtaz Khan , Muhammad Dilband , Amara Naseem , Abdul Jabbar , Sundas Kali , Tofeeq Ur-Rehman , Javed Nawab , Muhammad Aqeel , Muhammad Abdullah Khan , Mazhar Iqbal Zafar

The aim of the study was to evaluate the radiation levels, radiological doses and excess lifetime cancer risk possessed by the urban soils collected from the vicinity of the exclusive mining and excavation centers of Dera Ghazi Khan. The high purity germanium detector was utilized for assessment of naturally occurring radionuclides (NORMs) in soil and results showed that the average activity concentrations of 226Ra, 232Th, and 40K (37 Bq/kg, 43.07 Bq/kg, 737 Bq/kg respectively) surpassed the world’s average documented values (35 Bq/kg, 30 Bq/kg, and 400 Bq/kg respectively). The average values of radiological hazard assessment like radium equivalent, internal and external hazard index, absorbed dose rate, annual gonadal dose equivalent and excess lifetime cancer risk were 155.70 (Bq/kg), 0.4, 0.5, 73.96 (nGy/h) 90.73 (μSv/y), 476.24 (μSv/y) and 0.31(10-3) respectively. The data acquired was analyzed using descriptive statistics, cluster analysis and principal component analysis. ArcGIS (10.5) software was utilized for developing maps of radionuclide’s concentration for study areas. Results of the study may serve as an important baseline radiometric data for future epidemiological studies and monitoring initiatives in the study area.



中文翻译:

巴基斯坦Dera Ghazi Khan居民城市土壤放射性足迹的健康风险评估

这项研究的目的是评估从Dera Ghazi Khan独家采矿和开挖中心附近收集的城市土壤所具有的辐射水平,放射剂量和终身癌症风险。高纯度锗检测器用于评估土壤中天然存在的放射性核素(NORM),结果显示平均放射性浓度为226 Ra,232 Th和40K(分别为37 Bq / kg,43.07 Bq / kg,737 Bq / kg)超过了世界记录的平均值(分别为35 Bq / kg,30 Bq / kg和400 Bq / kg)。放射危害评估的平均值,如镭当量,内部和外部危害指数,吸收剂量率,年性腺剂量当量和终生癌症风险分别为155.70(Bq / kg),0.4、0.5、73.96(nGy / h)90.73( μSv/ y),476.24(μSv/ y)和0.31(10 -3)。使用描述性统计,聚类分析和主成分分析对获取的数据进行分析。利用ArcGIS(10.5)软件为研究区域绘制放射性核素浓度图。研究结果可作为未来流行病学研究和研究区域监测计划的重要基准辐射数据。

更新日期:2020-12-02
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