基于GIS和遥感数据的伊拉克基尔库克市空气污染风险评估

Huda Jamal Jumaah, A. Jasim, Aydin Rashid, Q. Ajaj
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引用次数: 0

摘要

根据世界卫生组织(卫生组织)的估计并根据世界人口审查,伊拉克在世界上空气污染最严重的国家中排名第十。在这项研究中,作者试图评价伊拉克北部基尔库克市的室外空气。作者依靠两种类型的数据:实地测量和遥感数据。在研究区域确定了15个空气质量点,代表了一年数据集实施的月平均测量值。基于地理统计和地理处理技术的地理信息系统(GIS)已被用于收集数据。通过对收集到的记录进行制图,获得空气质量指数(AQI)和颗粒物(PM10和PM2.5)的空间分布数据。对PM2.5遥感数据与实测数据进行分析比较。对研究中确定的每一种空气污染物的健康影响进行了评估。空间分布图揭示了研究区有害空气类型。总体空气质量指数在300到472微克/立方米之间,分别是不健康、非常不健康和危险的污染等级。此外,PM10的范围在300至570微克/立方米之间,表明同一级别的空气污染从不健康到危险。PM2.5在40 - 60µg/m3之间,对敏感人群来说是不健康的空气。遥感数据显示,研究期间不同的空气类型在14.5至52.5µg/m3之间,对敏感人群来说是中等和不健康的空气。当平均局部R2(决定系数)为0.83时,获得显著相关。评估的数据属于高度空气污染,需要立即采取措施控制原因并消除其影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Air Pollution Risk Assessment Using GIS and Remotely Sensed Data in Kirkuk City, Iraq
According to World Health Organization (WHO) estimates and based on a world population review, Iraq ranks tenth among the most air-polluted countries in the world. In this study, the authors tried to evaluate the outdoor air of Kirkuk City north of Iraq. The authors relied on two types of data: field measurements and remotely sensed data. Fifteen air quality points were determined in the study region representing the monthly average measurements implemented for the one-year dataset. Geographic information systems (GIS) based geo-statistic and geo-processing techniques have been applied to collected data. Spatial distribution data related to Air Quality Index (AQI), and Particulate Matter (PM10 and PM2.5) were obtained by mapping collected records. Remotely sensed data of PM2.5 were analyzed and compared with the collected data. Health impacts were assessed per each air pollutant determined in the study. Spatial distribution maps revealed the hazardous air type in the study area. Overall AQI ranged between 300 and 472 µg/m3 referring to unhealthy, very unhealthy, and hazardous classes of pollution. Also, PM10 ranged between 300 and 570 µg/m3 indicating the same class of air pollution from unhealthy to hazardous. While PM2.5 ranged between 40 and 60 µg/m3 which represents unhealthy air for sensitive persons and unhealthy air. The remotely sensed data revealed different air types for the study period ranging from 14.5 to 52.5 µg/m3 represented in moderate and unhealthy air for sensitive persons. Significant correlations were obtained where the mean local R2 (coefficient of determination) was obtained as 0.83. The assessed data were within high air pollution that requires immediate intervention for controlling causes and eliminating their effects.
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