首页|2009-2018年拉萨市降水化学组成特征及变化趋势

2009-2018年拉萨市降水化学组成特征及变化趋势

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基于 2009-2018 年采集的拉萨市 270 个降水样品,分析了降水的pH、电导率、水溶性离子浓度特征及变化趋势;应用相关性分析和主成分分析等溯源方法,探讨了降水中水溶性离子的潜在来源.结果表明:拉萨市降水年均 pH 变化范围为 7.34~7.87,平均值为 7.56,呈弱碱性;电导率变化范围为 1.24~5.64 mS/m,平均值为 3.91 mS/m,低于北京市、西安市等大部分城市.降水中水溶性离子平均浓度大小顺序为 Ca2+>SO2-4>Cl->K+>Mg2+>NO-3>Na+>NH4+>F-.近年SO2-4、Cl-、NO-3 等阴离子浓度占比迅速升高的趋势需要格外警惕.来源分析表明:阴离子的来源较为一致,主要来自汽车尾气排放;阳离子 Ca2+和 Mg2+主要来自地表土壤和浮尘,它们对降水 pH起到了中和作用.
Chemical Characteristics and Trends of Atmospheric Precipitation in Lhasa from 2009 to 2018
In this study,we analyze 270 precipitation samples collected in Lhasa city over the past decade(2009-2018)to examine the characteristics and trends of pH,conductivity,and water-soluble ion concentrations in precipitation.By employing traceability methods such as correlation analysis and principal component analysis,we explore the potential sources of water-soluble ions in precipitation.The findings reveal that the annual average pH of precipitation in Lhasa ranges from 7.34 to 7.87,with a mean value of 7.56,indicating weak alkalinity.The conductivity variation ranges from 1.24 to 5.64 mS/m,with an average of 3.91 mS/m,which is lower than that of major cities like Beijing and Xi'an.The average concentration of water-soluble ions in precipitation follows the order:Ca2+>SO2-4>Cl->K+>Mg2+>NO-3>Na+>NH+4>F-.Notably,the percentage of anion concentrations,including SO2-4、Cl-、NO-3,has shown a rapid increase in recent years,highlighting a concerning trend that warrants additional attention.Source analysis suggests that anions likely originate from vehicle emissions,exhibiting a more consistent source,while cations such as Ca2+and Mg2+primarily come from surface soil and floating dust,acting as neutralizers of precipitation pH.

characteristicsprecipitationchemical compositionlong-term observationLhasa

索娜卓嘎、赵矿、陈旭、王彩红、杨凤琴、葛梦娟、张继峰、董慧科、周云桥

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西藏自治区生态环境监测中心,西藏 拉萨 850000

西藏大学 青藏高原生物多样性与生态环境保护教育部重点实验室,西藏 拉萨 850000

西藏大学 拉萨城市湿地生态系统西藏自治区野外定位观测站,西藏 拉萨 850000

中国科学院青藏高原研究所,北京 100101

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特征分析 降水 化学组成 长期观测 拉萨市

2024

中国环境监测
中国环境监测总站

中国环境监测

CSTPCD北大核心
影响因子:1.761
ISSN:1002-6002
年,卷(期):2024.40(6)