التفاصيل البيبلوغرافية
| العنوان: |
Impact of Land Cover and Leaf Area Index on BVOC Emissions over the Korean Peninsula |
| المؤلفون: |
Youjung Jang, Yangdam Eo, Meongdo Jang, Jung-Hun Woo, Younha Kim, Jae-Bum Lee, Jae-Hyun Lim |
| المصدر: |
Atmosphere; Volume 11; Issue 8; Pages: 806 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2020 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
biogenic volatile organic compounds (BVOC), plant functional types, leaf area index, Model of Emissions of Gases and Aerosols from Nature (MEGAN), South Korea, North Korea |
| جغرافية الموضوع: |
agris |
| الوصف: |
Biogenic volatile organic compound (BVOCs) emissions are the largest VOC emission source globally, and are precursors to ozone and secondary organic aerosols, both of which are strong, short-lived climate pollutants. BVOC emissions are usually estimated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), which requires Plant Functional Types (PFTs) and Leaf Area Indexes (LAIs) as inputs. Herein, the effects of refined input data on regional BVOC emission estimates are analyzed. For LAIs, lower resolution MODerate-resolution Imaging Spectroradiometer (MODIS), and higher spatio-temporal resolution Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) LAI were generated. For PFTs, local land cover maps were developed, in addition to MODIS PFT. In South Korea, annual emissions of isoprene and monoterpenes in 2015 were estimated as 384 and 160 Gg/year, respectively, using STARFM LAI and Local PFT (Case 4). For North Korea, 340 Gg/year isoprene and 72 Gg/year monoterpenes emissions were estimated using STARFM LAI and MODIS PFT. These estimates were 14–110% higher than when using MODIS LAI and MODIS PFT (Case 1). Inter-comparison with satellite-based inverse isoprene emission estimates from GlobEmission shows 32% (North Korea) to 34% (South Korea) overestimation in bottom-up data. Our new vegetation inputs improve MEGAN performance and resulting BVOC emission estimations. Performance of Weather Research and Forecasting (WRF) meteorological modeling requires improvement, especially for solar radiation, to avoid overestimation of isoprene emissions. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
Biosphere/Hydrosphere/Land–Atmosphere Interactions; https://dx.doi.org/10.3390/atmos11080806 |
| DOI: |
10.3390/atmos11080806 |
| الاتاحة: |
https://doi.org/10.3390/atmos11080806 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: |
edsbas.7905EA18 |
| قاعدة البيانات: |
BASE |