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生态学杂志

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大气硫循环模型研究进展

柏杨1,2,4,郭庆军2,3*,郭照冰1,4,魏荣菲2,沈潇雨1,4,王瑾瑾1,4,任杰1,4,冯连君5   

  1. (1南京信息工程大学, 南京 210044;2中国科学院地理科学与资源研究所环境修复与资源工程研究室, 北京 100101; 3中国科学院大学资源与环境学院, 北京 100049; 4江苏省大气环境监测与污染控制高技术研究重点实验室, 南京 210044; 5中国科学院地质与地球物理研究所, 北京 100029)
  • 出版日期:2018-08-10 发布日期:2018-08-10

Research advances in atmospheric sulfur cycle models.

BAI Yang1,2,4, GUO Qing-jun2,3*, GUO Zhao-bing1,4, WEI Rong-fei2, SHEN Xiao-yu1,4, WANG Jin-jin1,4, REN jie1,4, FENG Lian-jun5   

  1. (1Nanjing University of Information Science and Technology, Nanjing 210044, China; 2Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 3College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; 4Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing 210044, China; 5Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China).
  • Online:2018-08-10 Published:2018-08-10

摘要: 本文系统总结了世界范围内各种典型大气硫循环模型的基本内容及适用条件,重点介绍了经典大气硫循环模型和以OsloCTM2为基础的独立硫循环模型以及与ECHAM、LMDZ、CSIRO、MASINGAR、RCA2、NICAM和MIROC环流模式耦合得到的大气硫循环模型。虽然目前在国际范围内研究所得的大气硫循环模型种类较多,但在模型的研究过程中仍存在缺乏相关数据支撑、缺乏综合考虑化学、辐射和动力学等过程以及缺乏跨学科综合集成研究的问题。针对这些问题,本文提出了优化大气硫排放数据和观测数据的质量、建立共享数据库系统、制订相关数据库使用规定、在研究模型过程中加强学科间合作和资源共享、建立全面的高分辨率大气硫循环模型等建议。

关键词: 生态环境质量, 石羊河流域, 生态环境质量评价指数, 影响因素, 空间分布特征

Abstract: We summarized the basic contents and the applicable conditions of typical atmospheric sulfur cycle models, especially the classical atmospheric sulfur cycle model and the independent sulfur cycle model which is based on OsloCTM2 model. We introduced atmospheric sulfur cycle models which are coupled with some general circulation models such as ECHAM, LMDZ, CSIRO, MASINGAR, RCA2, NICAM and MIROC. Although there are many kinds of atmospheric sulfur cycle models, there are still some problems such as lack of relevant data support, comprehensive consideration of chemistry, radiation and dynamics, and interdisciplinary integrated research in the study of sulfur cycle models. To solve these problems, we proposed to optimize the quality of atmospheric sulfur emission and observation data, establish a shared database system, formulate relevant database usage regulations, strengthen the cooperation and resource sharing among subjects, and establish comprehensive highresolution atmospheric sulfur cycle models.

Key words: eco-environmental quality, influencing factor, Shiyang River Basin., eco-environmental quality evaluation index, spatial distribution characteristics