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AIR QUALITY MODELING: EFFECT OF LAND USE DATABASE USING REMOTE SENSING DATA

摘要


In addition to meteorological inputs, land use and emission factor database are also required for simulation of the Biogenic Emission Inventory System (BEIS). The resolution of land use database in the Taiwan BEIS (TBEIS) can be up to 1 km^2 and this database consists of vegetation species and their spatial distribution in Taiwan with a total land area of approx 36000 km^2. The previous Taiwanese land use database was established in 1995, but since then Taiwan has gone through cultural, ecological and seismic changes for more than a decade. As a result, the area and distribution of current land use types needed revision. To complete this revision accurately, recent satellite remote sensing data were used in this research. In the updated land use database, the new forested area had increased by 2400 km^2, grass land had increased by 1790 km^2, paddy fields had increased by 2,100 km^2 and dry agriculture land had decreased by 1830 km^2. There was a net increase of 4460 km^2 in vegetation area, which equates to about 16% of the total vegetation land area of Taiwan. Simulation of the TBEIS-2 rendered to an increase of 28,000 ton/yr in total BVOCs (6.6%), in which other VOCs (OVOC) increased by 17,000 ton/yr (12.1%) and isoprene increased by 10,000 ton/yr (7.9%). The biogenic emissions obtained by the use of TBEIS-2 with the new land use database are utilized to simulate air quality by the Taiwan Air Quality Monitoring (TAQM). Results indicated that concentrations of ozone and other photochemical pollutants raised in some areas of Taiwan. In the simulation conducted in May 2003, the greatest ozone concentration difference occurred in southern Taiwan and central Taiwan with an increase of 3 ~ 7 ppb in these districts.

參考文獻


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被引用紀錄


Chen, T. F., Chen, C. H., Yu, J. Y., Lin, Y. B., & Chang, K. H. (2020). Estimation of Biogenic VOC Emissions in East Asia with New Emission Factors and Leaf Energy Balance Considerations. Journal of Innovative Technology, 2(2), 61-72. https://doi.org/10.29424/JIT.202009_2(2).0010

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