浦项市细颗粒物水溶性无机离子化学特性评价及预测模型

Gi-Chang Lee, Bo-Eun Kim, Byung-Keun Lee, Ji-hoon Kim, Sang-Su Park, Gyeong-Ji Hong, Dong-Hyun Ryu, Jeong-Han Song, Tae-Bun Kim
{"title":"浦项市细颗粒物水溶性无机离子化学特性评价及预测模型","authors":"Gi-Chang Lee, Bo-Eun Kim, Byung-Keun Lee, Ji-hoon Kim, Sang-Su Park, Gyeong-Ji Hong, Dong-Hyun Ryu, Jeong-Han Song, Tae-Bun Kim","doi":"10.4491/ksee.2023.45.7.311","DOIUrl":null,"url":null,"abstract":"Objectives:This study aims to contribute to establishing the regional effective management of fine particulate matter by evaluating the chemical characteristics and contribution of fine particulate matter, and the accuracy of predictive model of fine particulate matter through the measurement of water-soluble inorganic ions (WSIIs) and electrical conductivity for fine particulate matter generated in Pohang.Methods:PM<sub>10</sub> and PM<sub>2.5</sub> samples were simultaneously collected using a low volume air sampler from April to November 2022. For sample analysis, cations of Ca<sup>2+</sup>, Mg<sup>2+</sup>, K<sup>+</sup>, NH<sub>4</sub><sup>+</sup>, Na<sup>+</sup> and anions of Cl<sup>-</sup>, NO<sub>3</sub><sup>-</sup>, SO<sub>4</sub><sup>2-</sup>, and electrical conductivity were measured after pretreatment by ultrasonic extraction. Results and Discussion:The average concentrations of WSIIs for PM<sub>10</sub> and PM<sub>2.5</sub> in Pohang were 12.1μg/m<sup>3</sup> and 8.5μg/m<sup>3</sup>, respectively, accounting for 35.5% and 50.0% of each fine particulate matter. The sum of NH<sub>4</sub><sup>+</sup>, NO<sub>3</sub><sup>-</sup>, SO<sub>4</sub><sup>2-</sup> concentration was found to account for the majority of 71% and 78% of WSIIs in PM<sub>10</sub> and PM<sub>2.5</sub>, respectively. The PM<sub>2.5</sub>/PM<sub>10</sub> ratios for NH<sub>4</sub><sup>+</sup>, K<sup>+</sup>, and SO<sub>4</sub><sup>2-</sup> were 95%, 89%, and 81%, respectively, mostly present in PM<sub>2.5</sub>. The average ratio of PM<sub>2.5</sub>/PM<sub>10</sub> for NO<sub>3</sub><sup>-</sup> was 54%, but it rose sharply to 79% in November when the temperature was low, indicating an increase in contribution to the generation of PM<sub>2.5</sub> in winter. During the sampling period excluding April and July, the ion balance for cations and anions was relatively good at a 1:1 ratio and showed chemical properties of fine particulate matter close to neutral. A regression model was evaluated for the measured electrical conductivity of WSIIs and the concentration of fine particulate matter. The MAE and RMSE values for PM<sub>2.5</sub> were 1.8μg/m<sup>3</sup> and 2.4μg/m<sup>3</sup>, respectively, which were lower than PM<sub>10</sub> (MAE 7.5 μg/m<sup>3</sup>, RMSE 10.3μg/m<sup>3</sup>), indicating high precision and accuracy. Conclusion:This study confirmed the origin of fine particulate matter generated in Pohang through WSIIs analysis, and suggested that the measured electrical conductivity of WSIIs could be used as a key parameter for measuring the concentration of fine particulate matter.","PeriodicalId":52756,"journal":{"name":"daehanhwangyeonggonghaghoeji","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of the Chemical Characteristics and Predictive Model of Water-Soluble Inorganic Ions for Fine Particulate Matter Generated in Pohang\",\"authors\":\"Gi-Chang Lee, Bo-Eun Kim, Byung-Keun Lee, Ji-hoon Kim, Sang-Su Park, Gyeong-Ji Hong, Dong-Hyun Ryu, Jeong-Han Song, Tae-Bun Kim\",\"doi\":\"10.4491/ksee.2023.45.7.311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objectives:This study aims to contribute to establishing the regional effective management of fine particulate matter by evaluating the chemical characteristics and contribution of fine particulate matter, and the accuracy of predictive model of fine particulate matter through the measurement of water-soluble inorganic ions (WSIIs) and electrical conductivity for fine particulate matter generated in Pohang.Methods:PM<sub>10</sub> and PM<sub>2.5</sub> samples were simultaneously collected using a low volume air sampler from April to November 2022. For sample analysis, cations of Ca<sup>2+</sup>, Mg<sup>2+</sup>, K<sup>+</sup>, NH<sub>4</sub><sup>+</sup>, Na<sup>+</sup> and anions of Cl<sup>-</sup>, NO<sub>3</sub><sup>-</sup>, SO<sub>4</sub><sup>2-</sup>, and electrical conductivity were measured after pretreatment by ultrasonic extraction. Results and Discussion:The average concentrations of WSIIs for PM<sub>10</sub> and PM<sub>2.5</sub> in Pohang were 12.1μg/m<sup>3</sup> and 8.5μg/m<sup>3</sup>, respectively, accounting for 35.5% and 50.0% of each fine particulate matter. The sum of NH<sub>4</sub><sup>+</sup>, NO<sub>3</sub><sup>-</sup>, SO<sub>4</sub><sup>2-</sup> concentration was found to account for the majority of 71% and 78% of WSIIs in PM<sub>10</sub> and PM<sub>2.5</sub>, respectively. The PM<sub>2.5</sub>/PM<sub>10</sub> ratios for NH<sub>4</sub><sup>+</sup>, K<sup>+</sup>, and SO<sub>4</sub><sup>2-</sup> were 95%, 89%, and 81%, respectively, mostly present in PM<sub>2.5</sub>. The average ratio of PM<sub>2.5</sub>/PM<sub>10</sub> for NO<sub>3</sub><sup>-</sup> was 54%, but it rose sharply to 79% in November when the temperature was low, indicating an increase in contribution to the generation of PM<sub>2.5</sub> in winter. During the sampling period excluding April and July, the ion balance for cations and anions was relatively good at a 1:1 ratio and showed chemical properties of fine particulate matter close to neutral. A regression model was evaluated for the measured electrical conductivity of WSIIs and the concentration of fine particulate matter. The MAE and RMSE values for PM<sub>2.5</sub> were 1.8μg/m<sup>3</sup> and 2.4μg/m<sup>3</sup>, respectively, which were lower than PM<sub>10</sub> (MAE 7.5 μg/m<sup>3</sup>, RMSE 10.3μg/m<sup>3</sup>), indicating high precision and accuracy. Conclusion:This study confirmed the origin of fine particulate matter generated in Pohang through WSIIs analysis, and suggested that the measured electrical conductivity of WSIIs could be used as a key parameter for measuring the concentration of fine particulate matter.\",\"PeriodicalId\":52756,\"journal\":{\"name\":\"daehanhwangyeonggonghaghoeji\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"daehanhwangyeonggonghaghoeji\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4491/ksee.2023.45.7.311\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"daehanhwangyeonggonghaghoeji","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4491/ksee.2023.45.7.311","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

目的:通过评价浦项市细颗粒物的化学特性和贡献,以及通过测量浦项市产生的细颗粒物的水溶性无机离子(WSIIs)和电导率,建立细颗粒物预测模型的准确性,为建立区域有效的细颗粒物管理做出贡献。方法:于2022年4 - 11月采用小容积空气采样器同时采集PM10和PM2.5样本。对样品进行分析时,采用超声提取预处理,测定样品中Ca2+、Mg2+、K+、NH4+、Na+的阳离子,Cl-、NO3-、SO42-的阴离子和电导率。结果与讨论:浦项市PM10和PM2.5 WSIIs平均浓度分别为12.1μg/m3和8.5μg/m3,分别占各细颗粒物的35.5%和50.0%。PM10和PM2.5中NH4+、NO3-和SO42-浓度的总和分别占wsii的71%和78%。NH4+、K+和SO42-的PM2.5/PM10比值分别为95%、89%和81%,主要存在于PM2.5中。NO3- PM2.5/PM10的平均比值为54%,但在气温较低的11月,该比值急剧上升至79%,表明NO3-对冬季PM2.5生成的贡献增加。在除4月和7月外的采样期内,阳离子和阴离子的离子平衡相对较好,比例为1:1,细颗粒物的化学性质接近中性。对实测电导率和细颗粒物浓度的回归模型进行了评价。PM2.5的MAE值为1.8μg/m3, RMSE值为2.4μg/m3,均低于PM10 (MAE值为7.5 μg/m3, RMSE值为10.3μg/m3),具有较高的精度和准确性。结论:本研究通过对WSIIs的分析,确认了浦项细颗粒物的来源,并提出WSIIs的电导率可作为测量细颗粒物浓度的关键参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Evaluation of the Chemical Characteristics and Predictive Model of Water-Soluble Inorganic Ions for Fine Particulate Matter Generated in Pohang
Objectives:This study aims to contribute to establishing the regional effective management of fine particulate matter by evaluating the chemical characteristics and contribution of fine particulate matter, and the accuracy of predictive model of fine particulate matter through the measurement of water-soluble inorganic ions (WSIIs) and electrical conductivity for fine particulate matter generated in Pohang.Methods:PM10 and PM2.5 samples were simultaneously collected using a low volume air sampler from April to November 2022. For sample analysis, cations of Ca2+, Mg2+, K+, NH4+, Na+ and anions of Cl-, NO3-, SO42-, and electrical conductivity were measured after pretreatment by ultrasonic extraction. Results and Discussion:The average concentrations of WSIIs for PM10 and PM2.5 in Pohang were 12.1μg/m3 and 8.5μg/m3, respectively, accounting for 35.5% and 50.0% of each fine particulate matter. The sum of NH4+, NO3-, SO42- concentration was found to account for the majority of 71% and 78% of WSIIs in PM10 and PM2.5, respectively. The PM2.5/PM10 ratios for NH4+, K+, and SO42- were 95%, 89%, and 81%, respectively, mostly present in PM2.5. The average ratio of PM2.5/PM10 for NO3- was 54%, but it rose sharply to 79% in November when the temperature was low, indicating an increase in contribution to the generation of PM2.5 in winter. During the sampling period excluding April and July, the ion balance for cations and anions was relatively good at a 1:1 ratio and showed chemical properties of fine particulate matter close to neutral. A regression model was evaluated for the measured electrical conductivity of WSIIs and the concentration of fine particulate matter. The MAE and RMSE values for PM2.5 were 1.8μg/m3 and 2.4μg/m3, respectively, which were lower than PM10 (MAE 7.5 μg/m3, RMSE 10.3μg/m3), indicating high precision and accuracy. Conclusion:This study confirmed the origin of fine particulate matter generated in Pohang through WSIIs analysis, and suggested that the measured electrical conductivity of WSIIs could be used as a key parameter for measuring the concentration of fine particulate matter.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
38
审稿时长
8 weeks
期刊最新文献
Comparative Analysis of Greenhouse Gas Emissions from Domestic Wastewater Treatment Processes by Modeling: Existing Estimation Methods vs Modeling A Study on Assessment of Carbon Absorption Footprint (CAF) and Forestation in Local Governments Greenhouse Gas Emissions of an Urban Water System in Korea: A case study of Paju city Evaluation of the Chemical Characteristics and Predictive Model of Water-Soluble Inorganic Ions for Fine Particulate Matter Generated in Pohang Characteristics of Soil Heavy Metal Contamination in the Intensive Livestock Farming Watersheds
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1