Nitrogen isotope characteristics and importance of NO from biomass burning in China.

Sci Total Environ

Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou 310032, China.

Published: November 2024

Biomass burning is a primary source of atmospheric nitrogen oxide (NO), however, the lack of isotopic fingerprints from biomass burning limits their use in tracing atmospheric nitrate (NO) and NO. A total of 25 biomass fuels from 10 provinces and regions in China were collected, and the δN values of biomass fuels (δN-biomass) and δN-NO values of biomass burning (δN-NO values of BB, open burning, and rural cooking stove burning) were determined. The δN-NO values of open burning and rural cooking stove burning ranged from -0.8 ‰ to 11.6 ‰ and 0.8 ‰ to 9.5 ‰, respectively, indicating a significant linear relation with δN-biomass. Based on the measured δN-NO values of BB and biomass burning emission inventory data, the δN-NO values of BB in different provinces and regions of China were calculated using the δN-NO model, with a mean value of 5.0 ± 1.8 ‰. The spatial variations in the estimated δN-NO values of BB in China were mainly controlled by the differences in the δN-NO values and the proportions of NO emissions from various straw burning activities in provinces and regions of China. Furthermore, by using the combined local emissions of biomass burning with regional transportations of NO based on air-mass backward trajectories, we established an improved δN-NO model and obtained more accurate δN-NO values of BB in regions (2.3 ‰ to 8.4 ‰). By utilising the reported δN-NO values of precipitation and particulate matter from 21 cities in China and the more accurate δN-NO values of BB, the NO contributions from four sources (mobile sources, coal combustion, biomass burning, and microbial N cycle) at the national scale were estimated using a Bayesian model. The significant contributions of biomass burning (20.9 % to 44.3 %) to NO emissions were revealed, which is vital for controlling NO emissions in China.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.scitotenv.2024.175430DOI Listing

Publication Analysis

Top Keywords

δn-no values
40
biomass burning
32
burning
13
provinces regions
12
regions china
12
values biomass
12
δn-no
12
values
11
biomass
10
biomass fuels
8

Similar Publications

Accurate and timely diagnosis of t(9;22)-positive leukemias is vital to improving survival in pediatric patients. In low-resource settings, where healthcare disparities are exacerbated by limited resources, cost-effective and efficient diagnostic methods are essential for bridging these gaps and ensuring better outcomes. Among the diagnostic tools evaluated among 23 patients sample, RT-PCR demonstrated superior sensitivity (100%) and the shortest turnaround time (7 days), significantly outperforming FISH and karyotyping in both accuracy and timeliness.

View Article and Find Full Text PDF

Objectives: To incorporate a longitudinal palliative care curriculum into obstetrics and gynecology (Ob-Gyn) residency that could become standardized to ensure competencies in providing end of life (EOL) care.

Methods: This was a prospective cohort study conducted among 23 Ob-Gyn residents at a tertiary training hospital from 2021 to 2022. A curriculum intervention was provided via lecture and simulation.

View Article and Find Full Text PDF

Wastewater Monitoring During the COVID-19 Pandemic in the Veneto Region, Italy: Longitudinal Observational Study.

JMIR Public Health Surveill

January 2025

Unit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padova, Via Loredan 18, Padova, Italy, 39 049 8275384.

Background: As the COVID-19 pandemic has affected populations around the world, there has been substantial interest in wastewater-based epidemiology (WBE) as a tool to monitor the spread of SARS-CoV-2. This study investigates the use of WBE to anticipate COVID-19 trends by analyzing the correlation between viral RNA concentrations in wastewater and reported COVID-19 cases in the Veneto region of Italy.

Objective: We aimed to evaluate the effectiveness of the cumulative sum (CUSUM) control chart method in detecting changes in SARS-CoV-2 concentrations in wastewater and its potential as an early warning system for COVID-19 outbreaks.

View Article and Find Full Text PDF

Identification of serum tRNA-derived small RNAs biosignature for diagnosis of tuberculosis.

Emerg Microbes Infect

January 2025

Key Laboratory of Jiangxi Province for Transfusion Medicine, Department of Blood Transfusion, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, China.

The tRNA-derived small RNAs (tsRNAs) are a new class of non coding RNAs, which are stable in body fluids and can be used as potential biomarkers for disease diagnosis. However, the exact value of tsRNAs in the diagnosis of tuberculosis (TB) is still unclear. The objective of the present study was to evaluate the performance of the serum tsRNAs biosignature to distinguish between active TB, healthy controls, latent TB infection, and other respiratory diseases.

View Article and Find Full Text PDF

Dynamic Importance of Genomic and Clinical Risk for Coronary Artery Disease Over the Life Course.

Circ Genom Precis Med

January 2025

Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston. (S.M.U., K.P., B.T., A.C.F., P.N.).

Background: Earlier identification of high coronary artery disease (CAD) risk individuals may enable more effective prevention strategies. However, existing 10-year risk frameworks are ineffective at earlier identification. We sought to understand how the variable importance of genomic and clinical factors across life stages may significantly improve lifelong CAD event prediction.

View Article and Find Full Text PDF

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!