Combination of Multiple Isotopes and PMF Model Provide Insights Into the Method Optimization of PM2.5 Source Apportionment During Haze Episodes DOI
Xinxin Feng, Yingjun Chen, Hongxing Jiang

и другие.

Journal of Geophysical Research Atmospheres, Год журнала: 2024, Номер 129(23)

Опубликована: Ноя. 28, 2024

Abstract The key problems with Positive Matrix Factorization (PMF) model for PM 2.5 source apportionment were inconsistent results different species selections and a lack of evaluation criteria accuracy. Moreover, high proportions secondary inorganic aerosols sources (SNA) identified by PMF without corresponding primary sources. This study develops new method that combines multi‐isotopes ( 34 S, 15 N, 18 O 14 C) to optimize apportionment. Data sets A–F, constructed from components, input into obtain optimal (3–9 factors), which changed the selection species. Specifically, contributions coal combustion (CC, 3%–36%), biomass burning (BB, 11%–38%), vehicle (VS, 4%–15%) showed significant differences in data sets, indicating conventional methods cannot accurate results. Then, introduced restrict reallocate SNA sources, overcoming influence on Additionally, C was used evaluate results, combination more markers (data set F, 9‐factor) techniques obtained optimized aligned Compared initial CC, VS, BB allocated 9‐factor increased 26.4%, 5%, 19.5%, respectively, becoming main . represents first time achieves reapportionment evaluation, improving methods.

Язык: Английский

Mercury stable isotopes revealing the atmospheric mercury circulation: A review of particulate bound mercury in China DOI
Xuechao Qin,

Qingjun Guo,

Pim Martens

и другие.

Earth-Science Reviews, Год журнала: 2024, Номер 250, С. 104681 - 104681

Опубликована: Янв. 18, 2024

Язык: Английский

Процитировано

8
Strategic control of combustion-induced ammonia emissions: A key initiative for substantial PM2.5 reduction in Tianjin, North China Plain DOI
Hao Xiao,

Chuanwen Ji,

Shiyuan Ding

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 928, С. 172328 - 172328

Опубликована: Апрель 11, 2024

Язык: Английский

Процитировано

8
Refining δ15N isotopic fingerprints of local NO for accurate source identification of nitrate in PM2.5 DOI Creative Commons
Hao Xiao,

Qinkai Li,

Shiyuan Ding

и другие.

Environment International, Год журнала: 2025, Номер 196, С. 109317 - 109317

Опубликована: Фев. 1, 2025

Stable nitrogen isotopic composition (δ15N) has proven to be a valuable tool for identifying sources of nitrates (NO3-) in PM2.5. However, the absence systematic study on δ15N values domestic NOx hinders accurate identification NO3- China. Here, we systematically determined and refined six categories Tianjin using an active sampling method. Moreover, PM2.5 were measured during pre-heating, mid-heating late-heating periods, which are most heavily polluted Tianjin. The results indicate that fingerprints types indicative regional characteristics China, particularly North China Plain. Bayesian isotope mixing (MixSIAR) model demonstrated coal combustion, biomass burning, vehicle exhaust collectively contributed more than 60 %, dominating periods failure consider signatures local could result overestimation contribution from natural gas combustion. Additionally, industrial sources, uncharacterized source previous studies, may directly fraction other being overestimated by 10 %. Notably, as number input increased, various was becoming stable, inter-influence between significantly reduced. This fingerprint effectively distinguish NO3-, thereby providing insights controlling pollution.

Язык: Английский

Процитировано

1
Comprehensive evaluation on performance and local impact in energy, environment, and economy of different rural clean heating modes: A case study in Northeastern China DOI
Ye Yuan,

Yuqing Lin,

Qiao Xu

и другие.

Journal of Building Engineering, Год журнала: 2024, Номер 88, С. 109219 - 109219

Опубликована: Апрель 2, 2024

Язык: Английский

Процитировано

5
Sources of NH4+ in PM2.5 and Their Seasonal Variations in Urban Tianjin China: New Insights From the Seasonal δ15N Values of NH3 Source DOI
Hao Xiao, Shiyuan Ding, Xiaodong Li

и другие.

Journal of Geophysical Research Atmospheres, Год журнала: 2024, Номер 129(9)

Опубликована: Апрель 29, 2024

Abstract The stable nitrogen isotopic composition (δ 15 N) has been widely used to quantify sources of ammonium (NH 4 + ) in PM 2.5 . However, the overlap and uncertainty δ N values from different NH 3 sources, coupled with their seasonal variability, hinder accurate identification source. Here, various source samples collected by active sampler were determined. Subsequently, we measured , which seasonally Tianjin. We found that combustion‐related (c‐NH exhibiting higher compared volatile (v‐NH ), but all was fell within range reported previous studies. Furthermore, inconsistent variations observed N‐NH originating emissions agricultural soil human excreta. application Bayesian isotope mixing model (MixSIAR model) revealed a significant increase contribution v‐NH when incorporating current data, as opposed for Notably, (53.1%) almost equivalent c‐NH (46.9%) considering signatures Additionally, estimated exhibited is more reasonable than non‐seasonal scenario. This study demonstrated contributed Tianjin equally, it highlighted should be considered estimating contributions MixSIAR model.

Язык: Английский

Процитировано

4
15N Fractionation of Nitrate Formation Constrained by Dual Oxygen Isotopes Provides Insight Into Its Source Identification in Urban Haze DOI Creative Commons
Xinxin Feng, Yingjun Chen, Peng Yu

и другие.

Journal of Geophysical Research Atmospheres, Год журнала: 2025, Номер 130(2)

Опубликована: Янв. 13, 2025

Abstract δ 15 N‐NO 3 − is widely used to trace the NO x /NO emission sources without unique source tracers. However, there still controversy regarding N fractionation effects during formation, leading uncertain apportionment. To address this, this study introduces dual oxygen isotopes (∆ 17 O and 18 O) constrain N‐∆ O/∆ N‐δ of formation compare impact (δ on Results found significant differences in ∆ (−3.7 ∼ +16.1‰) (+8.5 +16.2‰) haze, reflecting from three pathways (NO 2 + OH, HC, 5 hydrolysis) two OH hydrolysis), respectively. The value obtained by increases with increase HC contribution (0.02–0.65). Additionally, different results apportionment were ( HC‐induced haze. For example, identified coal combustion (46 ± 8%) biomass burning (32 3%) as major Zibo Conversely, revealed mobile (55 (22 5%) main contributors. Evidence diurnal variation characteristics tracers show that analysis more sensitive accurate than O). These highlight non‐negligible role provide insight into improving tracing techniques for identification through constraint isotopes.

Язык: Английский

Процитировано

0
Dominant Role of NO2 Oxidation in SO2 Conversion to Sulfate Revealed by Synchronous Measurements of Gas and Particle Sulfur Isotopes in Haze Episodes DOI
Xinxin Feng, Yingjun Chen, Zeyu Liu

и другие.

ACS ES&T Air, Год журнала: 2025, Номер unknown

Опубликована: Март 28, 2025

Язык: Английский

Процитировано

0
Combustion-related activities dominate atmospheric ammonia in the Pearl River Delta region, China DOI
Maosheng He, Junwen Liu,

Chenglei Pei

и другие.

Frontiers of Environmental Science & Engineering, Год журнала: 2025, Номер 19(6)

Опубликована: Апрель 15, 2025

Язык: Английский

Процитировано

0
Exploring the Influence of 34S Fractionation From Emission Sources and SO2 Atmospheric Oxidation on Sulfate Source Apportionment Based on Hourly Resolution δ34S‐SO2/SO42− DOI
Xinxin Feng, Yingjun Chen, Zeyu Liu

и другие.

Journal of Geophysical Research Atmospheres, Год журнала: 2023, Номер 128(8)

Опубликована: Апрель 19, 2023

Abstract Sulfate (SO 4 2− ) sources are unclear leading to the underestimation of its concentration in model. Hourly resolution δ 34 S‐SO 2 and values three haze episodes (EP1‐EP3) were synchronously collected for first time quantify influence S fractionation from emission (e.g., coal combustion) SO atmospheric oxidation on /SO source apportionment. After considering combustion oxidation, reasonable logical contributions obtained, showing highly consistent with that Positive Matrix Factorization model results. Considering fraction apportionment obtained by hourly can more accurately reflect dynamic changes sources. Traffic emissions (49%) (46%–65%) major contributors EP1 EP2‐EP3, respectively. However, obvious deviations contribution found without combustion. Especially northwest transmission channels deviation accounted 17.1%–38.5% secondary . Moreover, was considered as a sensitive indicator than results comparison technique air quality (Nested Air Quality Prediction Model System), which provide reliable evidence control.

Язык: Английский

Процитировано

7
Dominant Contribution of NO3 Radical to NO3– Formation during Heavy Haze Episodes: Insights from High-Time Resolution of Dual Isotopes Δ17O and δ18O DOI
Xinxin Feng, Yingjun Chen, Shiyi Chen

и другие.

Environmental Science & Technology, Год журнала: 2023, Номер 57(49), С. 20726 - 20735

Опубликована: Ноя. 30, 2023

δ18O is widely used to track nitrate (NO3-) formation but overlooks NO3 radical reactions with hydrocarbons (HCs), particularly in heavily emitting hazes. This study introduces high-time resolution Δ17O-NO3- as a powerful tool quantify NO3- during five hazes three cities. Results show significant differences between and δ18O-NO3- identifying formation. results suggested N2O5 hydrolysis (62.0-88.4%) the major pathway of formation, while shows contributions NO2 + OH (17.7-66.3%), HC (10.8-49.6%), (22.9-33.3%), revealing contribution (41.7-56%) under severe pollution. Furthermore, varies temperatures, NOx oxidation rate (NOR), pollution levels. Higher lower were observed at higher except for low NOR haze where temperatures (T ← 10 °C). emphasizes significance emission-dominated haze. Contributions relate positive (fP1 = 3.0*NOR2 - 2.4*NOR 0.8) negative (fP2 -2.3*NOR2 1.8*NOR) quadratic functions, respectively, min/max values 0.4. At mild pollution, (58.1 ± 22.2%) dominated shifting (35.5 16.3%) Additionally, reveals that morning-evening rush hours high noon promote OH, respectively. Our are attributed NOR, vital quantifying

Язык: Английский

Процитировано

7