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一种估算典型石灰岩矿区和水泥厂环境中综合污染指数的新方法。

A novel method to estimate the aggregate pollution index in a typical limestone mining and cement producing environment.

机构信息

Environmental Systems and Climate Change Programme, Africa Centre of Excellence in Agricultural Development and Sustainable Environment, Federal University of Agriculture, Abeokuta, Nigeria.

Department of Physics, College of Physical Sciences, Federal University of Agriculture, Abeokuta, Nigeria.

出版信息

Environ Monit Assess. 2023 Jul 12;195(8):943. doi: 10.1007/s10661-023-11581-3.

DOI:10.1007/s10661-023-11581-3
PMID:37436489
Abstract

This study presents a novel method to estimate the aggregate pollution index (API) within the residential communities around a limestone mining and cement producing environment. The ranges for the air quality index (AQI), pollution load index in the topsoil (PLI), pollution load index in the subsoil (PLI), heavy metal pollution index in the water (HPI), and radiological external hazard index (H) were 5.99 to 57.97, 1.65E-07 to 3.6E-04, 1.7E-08 to 3.5E-04, 52.17 to 1053.13, and 0.0694 Bq.kg to 0.550, respectively. The AQI, PLI, PLI, HPI, and H revealed nonuniform patterns of variations across the communities, though there was a significant correlation between the PLI and the PLI, and between the HPI and the H; and a moderate correlation between the HPI and the AQI, between the HPI and the PLI, and between the HPI and the PLI. The measured quality indicators (MQI), and the calculated pollution indices (CPI) were subjected to the multivariate analysis. The principal components (PC) split the ten communities the same way in the CPI and the MQI. The API, using the PC, ranged from 3 to 9. The Afami, Balogun, and Akinbo communities had the highest API, while the Ewekoro and Itori communities had the lowest. The CPI was 41% of the MQI, with respect to the within-cluster variance, indicating that the CPI-based clustering was more reliable. Both the CPI and the MQI attributed a unique pollution signature to the Ewekoro community, while the remaining nine communities shared a common pollution status with the Ibese community.

摘要

本研究提出了一种新的方法来估算石灰岩矿区和水泥厂周边居民区的综合污染指数(API)。空气质量指数(AQI)、表层土壤污染负荷指数(PLI)、底层土壤污染负荷指数(PLI)、水中重金属污染指数(HPI)和辐射外部危害指数(H)的范围分别为 5.99 至 57.97、1.65E-07 至 3.6E-04、1.7E-08 至 3.5E-04、52.17 至 1053.13 和 0.0694 Bq.kg 至 0.550。AQI、PLI、PLI、HPI 和 H 显示出社区间变化的非均匀模式,尽管 PLI 与 PLI 之间、HPI 与 H 之间存在显著相关性;HPI 与 AQI、HPI 与 PLI 之间以及 HPI 与 PLI 之间存在中度相关性。测量的质量指标(MQI)和计算的污染指数(CPI)进行了多元分析。主成分(PC)在 CPI 和 MQI 中以相同的方式将十个社区分开。使用 PC,API 范围从 3 到 9。Afami、Balogun 和 Akinbo 社区的 API 最高,而 Ewekoro 和 Itori 社区的 API 最低。CPI 占 MQI 的 41%,相对于聚类内方差,表明基于 CPI 的聚类更可靠。CPI 和 MQI 都赋予了 Ewekoro 社区独特的污染特征,而其余九个社区与 Ibese 社区具有共同的污染状况。

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