Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractEvaluation of volatile fatty acids and ammonia recovery approach from landfill leachate using pilot-scale mechanical vapor recompression    Next AbstractCardiovascular biomarkers in exhaled breath »

Data Brief


Title:Dataset for evaluating WRF-Chem sensitivity to biogenic emission inventories in a tropical region. Global online model (MEGAN) vs local offline model (BIGA)
Author(s):Cifuentes F; Gonzalez CM; Aristizabal BH;
Address:"Hydraulic Engineering and Environmental Research Group (GTAIHA), Universidad Nacional de Colombia Sede Manizales, Carrera 27 64-60, Manizales, Colombia"
Journal Title:Data Brief
Year:2021
Volume:20210930
Issue:
Page Number:107438 -
DOI: 10.1016/j.dib.2021.107438
ISSN/ISBN:2352-3409 (Electronic) 2352-3409 (Linking)
Abstract:"This article presents a dataset comparing emissions of Biogenic Volatile Organic Compounds (BVOC) in a zone of complex topography in the tropical Andes, which presents elevations ranging from 250 to more than 4000 m above sea level in a radius of only 50 km. Two approximations were evaluated, (1) online with the Model of Emissions of Gases and Aerosols from Nature (MEGAN) coupled with the Weather Research and Forecast model with Chemistry (WRF-Chem) and (2) offline applying the Biogenic Altitudinal Gradient Model (BIGA). Modeled concentrations of pollutants (mainly isoprene and tropospheric ozone) were obtained with WRF-Chem employing the biogenic emission models mentioned previously. This information identified areas where BVOC emissions vary significantly, comparing the global emission inventory (MEGAN) and the local inventory (BIGA). Re-evaluation of the emission factors and land cover assigned to those areas in the global online biogenic models should be considered in order to reduce the uncertainty in the values. In addition, the dataset shows the impact of the biogenic emission inventories on the air quality simulations on a tropical high mountain area, where vegetation is diverse, and the altitudinal changes influence meteorological variables"
Keywords:Air quality modeling Biga Isoprene Megan Ozone Tropical Andes WRF-Chem;
Notes:"PubMed-not-MEDLINECifuentes, F Gonzalez, C M Aristizabal, B H eng Netherlands 2021/10/19 Data Brief. 2021 Sep 30; 38:107438. doi: 10.1016/j.dib.2021.107438. eCollection 2021 Oct"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 14-11-2024