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2006-2015年中国大气无机氮干沉降时空格局数据集 被引量:8

A spatial and temporal dataset of atmospheric inorganic nitrogen dry deposition in China(2006-2015)
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摘要 干沉降是大气氮沉降的重要组分,对陆地生态系统的结构和功能有重要影响。由于干沉降组分复杂、观测技术难度大,我国干沉降观测的站点少、时间短,如何获取精度高、时间序列长的干沉降空间格局数据是评估干沉降对我国生态系统影响的关键。本研究基于干沉降的站点观测数据和NO_(2)、NH_(3)遥感柱浓度数据,分别建立了评估不同形态干沉降的遥感统计模型,生成了2006-2010年、2011-2015年2个时期中国无机氮干沉降通量的空间格局数据集,包括颗粒态NH_(4)^(+)、NO_(3)^(-)、气态NO_(2)、HNO_(3)、NH_(3)和总干沉降通量6个指标,空间分辨率为10 km×10 km,数据格式为tiff。本数据集是第一个基于地面实测数据生成的中国大气氮干沉降可公开共享数据集,可为中国大气氮沉降的生态效应和环境效应评估提供数据基础,也可为我国的氮素管理政策提供理论支持。 As an important component of atmospheric nitrogen deposition,dry deposition has considerable effect on the construction and function of terrestrial ecosystems.Because of the complexity of dry deposition and the demanding technology in its observation,there were few monitoring stations with a short of observation time in China.Therefore,the way to obtain a spatial pattern dataset with high resolution and long-term series of dry deposition observation is essential to evaluate its effect on China's ecosystems.Based on the ground monitoring data of dry deposition and remote sensing data of NO_(2) and NH_(3),we constructed remote sensing statistical models for different forms of dry deposition,and compiled the spatial dataset of dry deposition during 2006-2010 and during 2011-2015 in China.The dataset covers 6 dry deposition indices:atmospheric particulate ammonium(NH_(4)^(+)),atmospheric particulate nitrate(NO_(3)),gaseous nitrogen dioxide(NO_(2)),gaseous nitric acid(HNO_(3)),gaseous nitric acid(NH_(3)),and the total nitrogen dry deposition flux,with a spatial resolution of 10 km×10 km in tiff format.This dataset is the first public and sharing dataset of the atmospheric nitrogen dry deposition based on ground monitoring data in China,which can provide basic data reference for the evaluation of its ecological and environmental effect and serve as theoretical support for making the policy about nitrogen management.
作者 贾彦龙 王秋凤 朱剑兴 陈智 何念鹏 于贵瑞 JIA Yanlong;WANG Qiufeng;ZHU Jianxing;CHEN Zhi;HE Nianpeng;YU Guirui(College of Forestry,Agricultural University of Hebei,Baoding 071000,P.R.China;Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,P.R China;College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100190,P.R.China)
出处 《中国科学数据(中英文网络版)》 CSCD 2021年第2期208-216,共9页 China Scientific Data
基金 河北省自然科学基金(C2018204096) 国家自然科学基金项目(31700377) 中国科学院战略性先导科技专项(XDA19020302) 国家重点研发计划(2016YFA0600104)。
关键词 中国 干沉降 遥感模型 时空格局 China dry deposition remote sensing model spatial and temporal pattern
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