A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

What controls aerosol δN-NO? NO emission sources vs. nitrogen isotope fractionation. | LitMetric

What controls aerosol δN-NO? NO emission sources vs. nitrogen isotope fractionation.

Sci Total Environ

State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China; State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361102, China; Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China.

Published: May 2023

AI Article Synopsis

  • * Analysis of aerosol δN-NO values and energy consumption data from the Beijing-Tianjin-Hebei region between 2013 and 2018 revealed stable δN-NO values despite changes in energy consumption, indicating consistent nitrogen fractionation factors.
  • * Significant seasonal variations in aerosol δN-NO and nitrogen isotope fractionation factors suggest that accurately refining these factors is crucial for better understanding and quantifying the sources of NO emissions.

Article Abstract

Atmospheric δN-NO has been used to reveal NO (NO + NO) sources as NO is the ultimate sink of NO. However, it remains questionable whether the nitrogen isotope fractionation among NO (NO, NO, NO, NO, HNO and NO) engender the misjudgment of NO emission sources by affecting δN-NO. To explore this issue, we integrated the dataset of aerosol δN-NO values and ratios of f (f = NO/(NO + NO)), calculated the nitrogen isotope fractionation factors (Δ) among NO, compared the total energy consumption in Beijing-Tianjin-Hebei region (BTH) from 2013 to 2018. Results showed that, although the total energy consumption structure changed from 2013 to 2018 in BTH, there were fewer interannual variances of aerosol δN-NO values. Nitrogen isotope fractionation factors between NO and NO (Δ), NO and NO (Δ), NO and NO (Δ), NO and ClONO (Δ) also displayed less interannual variations from 2013 to 2018 in BTH. But both aerosol δN-NO and Δ displayed significant seasonal patterns, and there was significant relationship between monthly aerosol δN-NO and Δ, which suggested that Δ have important influence on shaping aerosol δN-NO and further discriminating NO emission sources. This study implies that we should refine the Δ when employing atmospheric δN-NO to quantify NO source allocation.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.scitotenv.2023.162185DOI Listing

Publication Analysis

Top Keywords

aerosol δn-no
20
nitrogen isotope
16
isotope fractionation
16
emission sources
12
2013 2018
12
δn-no
8
atmospheric δn-no
8
δn-no values
8
fractionation factors
8
total energy
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!