A bottom-up agricultural emissions inventory and its analysis via CMAQ and IASI-NH.

Sci Total Environ

Eurasia Institute of Earth Sciences, Istanbul Technical University, Istanbul, Turkey; Civil and Environmental Engineering, University of Washington, Seattle, United States of America.

Published: November 2024

The global increase in population has led to higher emissions from livestock and synthetic fertilizers. This study investigates the impact of agricultural ammonia emissions on NH concentrations and provides insights into PM levels and their components in agriculturally intensified areas. We developed a bottom-up emission inventory focused on fertilizer application over croplands and livestock, instead of relying on the EMEP database. This approach utilized an improved spatial and temporal distribution of these emissions. We compared annual total NH emissions from livestock and fertilizer, estimated at 598.5 kt and 187.2 kt in the EMEP inventory (Base case), and 245.2 kt and 536 kt in the bottom-up inventory (Scenario case). Using the CMAQ modelling framework, we estimated atmospheric concentrations for both cases and evaluated the model results by comparing them with IASI-NH satellite retrievals. This comparison revealed significant differences in column concentrations between the Base and Scenario cases, with the Scenario case showing substantial improvement. Over a period of seven months, which contributed 80 % of the annual agricultural emissions for the Scenario case, the domain averages of NH were 3.02 × 10, 4.15 × 10, and 4.17 × 10 molecules/cm for the Base and Scenario cases and IASI-NH, respectively. The Scenario case closely matched IASI measurements, indicating a more accurate representation of NH emissions and concentrations. This enhanced reliability underscores the effectiveness of the bottom-up inventory approach. Additionally, using the CMAQ model, we found that in the IASI hotspots, the averages were 1.67 μg/m for sulfate, 0.57 μg/m for nitrate, and 0.62 μg/m for ammonium, with a total PM mean of 10.45 μg/m.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.scitotenv.2024.175355DOI Listing

Publication Analysis

Top Keywords

scenario case
16
agricultural emissions
8
emissions livestock
8
emissions concentrations
8
bottom-up inventory
8
base scenario
8
scenario cases
8
emissions
7
scenario
6
inventory
5

Similar Publications

Background: Even a gross total resection of a benign epidermoid tumor (ET) carries a high risk of recurrence. The management strategy mostly involves redo surgical excision but at a significant cost of morbidity and mortality. The role of adjuvant radiation therapies in this scenario is still undefined.

View Article and Find Full Text PDF

Identifying Key Weather Factors Influencing Human Salmonellosis: A Conditional Incidence Analysis in England, Wales, and the Netherlands.

J Infect

January 2025

School of Veterinary Medicine, University of Surrey, Daphne Jackson Rd, Guildford GU2 7AL, United Kingdom; The Surrey Institute for People-Centred Artificial Intelligence, Stag Hill University Campus, Guildford GU2 7XH, United Kingdom; Institute for Sustainability, University of Surrey, Guildford, United Kingdom; University of Exeter, Exeter, United Kingdom.

Objectives: This study aimed to improve the understanding of seasonal incidence pattern observed in salmonellosis by identifying the most influential weather factors, characterizing the nature of this association, and assessing whether it is geographically restricted or generalizable to other locations.

Methods: A novel statistical model was employed to estimate the incidence of salmonellosis conditional to various combinations of three simultaneous weather factors from 14 available. The analysis utilised daily salmonellosis cases reported from 2000 to 2016 along with detailed spatial and temporal weather data from England and Wales, and the Netherlands.

View Article and Find Full Text PDF

Estimating the epidemiological and economic impact of providing nutritional care for tuberculosis-affected households across India: a modelling study.

Lancet Glob Health

January 2025

TB Modelling Group, TB Centre, and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Background: Approximately 20% of global tuberculosis incidence is attributable to undernutrition, increasing to more than a third in India. Targeting nutritional interventions to tuberculosis-affected households is a policy priority, but understanding of epidemiological and economic impacts is limited. We aimed to estimate the population-level epidemiological and economic effect of such an intervention.

View Article and Find Full Text PDF

Retrospective modelling of the disease and mortality burden of the 1918-1920 influenza pandemic in Zurich, Switzerland.

Epidemics

January 2025

Institute of Evolutionary Medicine, University of Zurich, Switzerland; Swiss School of Public Health SSPH+, Zurich, Switzerland; Crisis Competence Center, University of Zurich, Switzerland. Electronic address:

Background: Our study aims to enhance future pandemic preparedness by integrating lessons from historical pandemics, focusing on the multidimensional analysis of past outbreaks. It addresses the gap in existing modelling studies by combining various pandemic parameters in a comprehensive setting. Using Zurich as a case study, we seek a deeper understanding of pandemic dynamics to inform future scenarios.

View Article and Find Full Text PDF

Background: Zika virus (ZIKV) continues to circulate in Southeast Asia following the 2015-2016 global epidemic, posing an ongoing risk of importation and disease spread for Singapore, a tropical city-state in the region. The virus remains a threat to pregnant women and their fetuses due to the risk of Congenital Zika Syndrome (CZS). Vaccines currently in development offer hope for reducing ZIKV infections and CZS cases.

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!