大气无机氮沉降卫星遥感估算研究进展  

Research progress on estimating atmospheric inorganic nitrogen deposition based on satellite observations

作　　者：张秀英 刘磊[4] 秦佳遥 董佳琦 程苗苗 卢学鹤[6] 丁佳 ZHANG Xiuying;LIU Lei;QIN Jiayao;DONG Jiaqi;CHENG Miaomiao;LU Xuehe;DING Jia(Key Laboratory of Urban Land and Resources Monitoring and Simulation,Ministry of Natural Resources,Shenzhen 518000,China;International Institute for Earth System Science,Nanjing University,Nanjing 210023,China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210046,China;College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 710003,China;State Key Laboratory of Environmental Criteria and Risk Assessment,Chinese Research Academy of Environmental Science,Beijing 100012,China;School of Geography Science and Geomatics Engineering,Suzhou University of Science and Technology,Suzhou 215009,China)

机构地区：[1]自然资源部城市国土资源监测与仿真重点实验室,深圳518000 [2]南京大学国际地球系统科学研究所,南京210023 [3]江苏地理信息资源开发与应用协同创新中心,南京210046 [4]兰州大学资源环境学院,兰州710003 [5]中国环境科学研究院大气环境研究所,北京100012 [6]苏州科技大学地理科学与测绘工程学院,苏州215009

出　　处：《遥感学报》2023年第8期1769-1781,共13页NATIONAL REMOTE SENSING BULLETIN

基　　金：江苏省自然科学基金(编号:BK20211156);自然资源部城市国土资源监测与仿真重点实验室开放基金(编号:KF-2021-06-028);国家自然科学基金(编号:41471343)。

摘　　要：大气无机氮沉降是全球氮循环的重要过程,对生态系统的可持续发展至关重要。监测大气氮沉降主要包括地面站点监测和大气化学传输模型模拟两种方法;但在区域尺度上两种方法获得的氮沉降通量具有较大差异。因此,急需发展新的方法以补充探讨区域尺度大气氮沉降时空分布格局。卫星遥感技术具有监测全球高时空分辨率大气含氮化合物浓度的能力,已应用于区域尺度氮沉降通量估算。本文系统回顾了监测大气NO_(2)和NH_(3)的主要卫星载荷及其数据特点、基于卫星监测的NO_(2)和NH_(3)柱浓度开展氮沉降估算的基本原理,大气硝态氮和氨态氮的气体、颗粒物和湿沉降遥感估算模型,中国大气无机氮沉降时空分布格局,并指出了当前基于卫星监测信息开展大气无机氮沉降通量估算研究中存在的不足。As an important process in the nitrogen(N)cycle,inorganic N deposition from the atmosphere can be observed at ground sites or simulated by an atmospheric Chemical Transport Model(CTM).However,the atmospheric N deposition fluxes obtained by these two methods on a regional scale show huge gaps.The atmospheric NO_(2) and NH_(3) columns remotely sensed by satellites have the potential to estimate the N depositions with high spatial and temporal resolutions.This study reviewed those sensors that provide atmospheric NO_(2) and NH_(3) columns and those models that estimate atmospheric inorganic N depositions based on satellite observations.Several sensors can provide the daily NO_(2) and NH_(3) columns in the tropospheric atmosphere since 1995,with spatial resolutions ranging from 7×3.5 km2 to 320×40 km2.In general,the datasets of NO_(2) columns have higher spatial resolutions,cover longer periods,and show better data precision compared with those of NH_(3) columns.An inferential model is often used to estimate dry nitrogen depositions using the N-related component concentrations at the ground level and the deposition velocity(often estimated by an atmospheric CTM).The N-related components in the atmosphere include the gas formats of NO_(2),HNO3,and NH_(3) and the particulate formats of NO3-and NH4+,which can be estimated from the satellite observations of NO_(2) and NH_(3) columns,respectively.Three methods were used to covert the atmospheric columns of the N-related components to the concentrations at the ground level,namely,by taking the columns as the ground-level concentrations,by constructing a statistical model that involved the columns and the related influencing factors to estimate the ground-level concentrations,and by considering the profiles of Nrelated components simulated from CTM to estimate the ground-level concentrations.Three methods were also used to estimate wet inorganic nitrogen depositions,including an empirical formula,a statistical model,and a process model.The process model can reflect the co

关 键 词：大气无机氮沉降 气体沉降模型 颗粒物沉降模型 湿沉降模型 卫星遥感 

分 类 号：P2[天文地球—测绘科学与技术]