Retrieval of NO2 Column Amounts from Ground-Based Hyperspectral Imaging Sensor Measurements
2019 · Remote Sensing
저자
Hyeon-Ju Park, Jinsoo Park, 김상우 (Sang‐Woo Kim), Heesung Chong, Hana Lee, Hyun-Jae Kim, Joonyoung Ahn, Dai-Gon Kim, Jhoon Kim, Sang Seo Park
연구주제
Atmospheric chemistry and aerosols · Atmospheric Ozone and Climate · Atmospheric aerosols and clouds
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
배정 근거: AI 키워드가 잡은 NTIS 과제의 분류(정책 연계 맵과 같은 방법).
AI 연구 키워드·방법
이산화질소 연직 칼럼 농도 산출 불확실성 도시 대기오염
키워드 (OpenAlex)
nitrogen dioxide retrieval uncertainty aerosol optical depth NO2 vertical profiles urban air pollution Pandora spectrophotometer Seoul
초록
Total column amounts of NO2 (TCN) were estimated from ground-based hyperspectral imaging sensor (HIS) measurements in a polluted urban area (Seoul, Korea) by applying the radiance ratio fitting method with five wavelength pairs from 400 to 460 nm. We quantified the uncertainty of the retrieved TCN based on several factors. The estimated TCN uncertainty was up to 0.09 Dobson unit (DU), equivalent to 2.687 × 1020 molecules m−2) given a 1° error for the observation geometries, including the solar zenith angle, viewing zenith angle, and relative azimuth angle. About 0.1 DU (6.8%) was estimated for an aerosol optical depth (AOD) uncertainty of 0.01. In addition, the uncertainty due to the NO2 vertical profile was 14% to 22%. Compared with the co-located Pandora spectrophotometer measurements, the HIS captured the temporal variation of the TCN during the intensive observation period. The corre…
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NTIS 성과DB(2020–24)에서 DOI 매칭 없음
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교수 1
연구주제 1
Atmospheric chemistry and aerosols
정책분야 1
키워드 3
이산화질소 연직 칼럼 농도 · 도시 대기오염 · 산출 불확실성