Estimation of monthly bulk nitrate deposition in China based on satellite NO2 measurement by the Ozone Monitoring Instrument

被引:31
作者
Liu, Lei [1 ]
Zhang, Xiuying [1 ]
Xu, Wen [2 ]
Liu, Xuejun [2 ]
Lu, Xuehe [1 ]
Chen, Dongmei [3 ]
Zhang, Xiaomin [1 ]
Wang, Shanqian [1 ,4 ]
Zhang, Wuting [1 ]
机构
[1] Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China
[2] China Agr Univ, Coll Resources & Environm Sci, Key Lab Plant Soil Interact MOE, Ctr Resources Environm & Food Secur, Beijing 100193, Peoples R China
[3] Queens Univ, Dept Geog & Planning, Kingston, ON K7L 3N6, Canada
[4] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Bulk deposition; Nitrate deposition; Spatial pattern; Nitrogen; ATMOSPHERIC NITROGEN DEPOSITION; TROPOSPHERIC NO2; WET DEPOSITION; UNITED-STATES; CALIBRATION APPROACH; SOIL ACIDIFICATION; COLUMN DENSITIES; DRY DEPOSITION; MODEL; VALIDATION;
D O I
10.1016/j.rse.2017.07.005
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:93 / 106
页数:14
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