期刊
REMOTE SENSING OF ENVIRONMENT
卷 199, 期 -, 页码 93-106出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2017.07.005
关键词
Bulk deposition; Nitrate deposition; Spatial pattern; Nitrogen
资金
- National Natural Science Foundation of China [41471343, 40425007, 41101315]
Remote sensing technology has great potential to expand the observation of ground-level nitrogen deposition from local monitoring sites to a regional scale, with high spatial and temporal resolutions. A new methodology is developed to estimate the spatial distribution of monthly bulk nitrogen deposition on a regional scale, based on precipitation amounts and HNO3 and aerosol nitrate (NO3-) columns, derived from OMI NO2 columns and the relationship of NO2, HNO3 and NO3- from MOZART. The accuracy assessment shows that the proposed model has achieved a reasonably high predictive power for monthly NO3--N deposition (slope = 0.96, intercept = 035, R = 0.83, RMSE = 0.72) across China. The spatial NO3--N deposition shows a significant gradient from industrial areas to undeveloped regions, ranging from 0.01 to 26.76 kg N ha(-1) y(-1) with an average of 5.77 kg N ha(-1) y(-1) over China during 2010-2012. The bulk NO3--N deposition shows a clear seasonal variation, with high depositions occurring in the warm season (March-November) and peaking in July and August, and low bulk NO3--N deposition appearing in winter (December-February). This study proves for the first time that the atmospheric boundary layer (ABL) HNO3 and NO3- columns and precipitation are powerful to predict the bulk nitrate deposition. (C) 2017 Elsevier Inc. All rights reserved.
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