首页|长江三角洲典型城市站点甲烷浓度时间变化特征和影响因素分析

长江三角洲典型城市站点甲烷浓度时间变化特征和影响因素分析

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甲烷(CH4)是一种具有显著全球变暖潜力的温室气体,其变化特征和影响因素十分复杂,尤其是在人为活动频繁和自然资源丰富的地区.苏州作为长三角经济发达典型城市之一,分析其CH4的变化特征和影响因素具有重要意义.本研究基于2018~2022年苏州甲烷在线观测数据,结合多种统计分析方法(包括机器学习算法、HYSPLIT后向轨迹和潜在贡献因子)分析了苏州的CH4变化特征、相关性及其主要潜在源区.结果表明,苏州CH4浓度整体呈秋季高春季低的特征,日变化呈单峰型;气象归一法表明2019年甲烷浓度在近四年中最高,受人为排放原因为主;风速与CH4的相关性明显高于温度和湿度;苏州来自海面的气团较为洁净,起始于内陆的轨迹CH4浓度较高,存在上游城市的传输影响;CH4主要潜在源区分布在安徽省东南部和浙江省西北部一片,潜在源区浓度贡献值呈现以苏州为中心向四周逐渐降低的环状分布特征.
Temporal Variations in Methane Concentrations and Influencing Factors at Typical Urban Sites in the Yangtze River Delta
Methane(CH4)is a greenhouse gas with significant impact on global warming.It exhibits complex variability and influen-cing factors,especially in regions abundant in both human activities and natural resources.Suzhou,as one of the economically devel-oped cities in the Yangtze River Delta,holds significance in analyzing the characteristics and influencing factors of CH4.Based on on-line CH4 observation data from 2018 to 2022 in Suzhou,this study employed various statistical analysis methods,including machine learning algorithms,HYSPLIT backward trajectories,and potential source contribution function(PSCF),to analyze CH4 variations,correlations,and major potential source areas in Suzhou.Suzhou's CH4 concentration shows a characteristic of higher levels in autumn and lower levels in spring,with a unimodal diurnal variation pattern.Meteorological normalization indicates that CH4 concentrations were highest in 2019 over the past four years,primarily due to anthropogenic emissions.Wind speed demonstrates a higher correlation with CH4 compared to temperature and humidity.Air masses originating from the sea exhibit lower CH4 concentrations,while those starting inland show higher levels,influenced by transport from upstream cities.The main potential source areas for CH4 are distributed in the southeastern part of Anhui Province and the northwestern part of Zhejiang Province,with the concentration contribution values forming a circular distribution pattern gradually decreasing from Suzhou towards the surrounding areas.

greenhouse gasmethanebackward trajectoryimpact of the epidemic

周民锋、张晓华、缪青

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江苏省苏州环境监测中心,江苏苏州 215004

江苏省环境保护空气复合污染监测重点实验室,江苏苏州 215004

温室气体 甲烷 后向轨迹 疫情影响

苏州市科技发展项目

SS202141

2024

地球与环境
中国科学院地球化学研究所

地球与环境

CSTPCD北大核心
影响因子:0.875
ISSN:1672-9250
年,卷(期):2024.52(1)
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