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基于光谱分析仪的通量-梯度法测量小型池塘水-气界面温室气体交换通量
引用本文:赵佳玉,张弥,肖薇,王伟,吴红艳,张圳,肖启涛,胡诚,于洲,曹正达,徐敬争,刘寿东,李旭辉. 基于光谱分析仪的通量-梯度法测量小型池塘水-气界面温室气体交换通量[J]. 环境科学, 2017, 38(1): 41-51
作者姓名:赵佳玉  张弥  肖薇  王伟  吴红艳  张圳  肖启涛  胡诚  于洲  曹正达  徐敬争  刘寿东  李旭辉
作者单位:南京信息工程大学物理与光电工程学院, 南京 210044;南京信息工程大学大气环境中心, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044,南京信息工程大学大气环境中心, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044,南京信息工程大学大气环境中心, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044,南京信息工程大学大气环境中心, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044,南京信息工程大学物理与光电工程学院, 南京 210044,南京信息工程大学大气环境中心, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044,南京信息工程大学大气环境中心, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044,南京信息工程大学大气环境中心, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044,南京信息工程大学大气环境中心, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044,南京信息工程大学大气环境中心, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044,南京信息工程大学大气环境中心, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044,南京信息工程大学大气环境中心, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044,南京信息工程大学大气环境中心, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044
摘    要:小型池塘作为内陆水体的一部分,是被忽视的温室气体重要排放源.本研究主要利用通量-梯度方法测量长江三角洲地区的一处小型池塘水-气界面温室气体(CO_2和CH_4)交换通量.结果表明:1零梯度测试结果显示本套通量-梯度系统测量H_2O、CO_2和CH_4通量的精度分别为7.525 W·m-2、0.022 mg·(m2·s)-1、0.054μg·(m2·s)-1,并且在正常实验观测期间3种气体(H_2O、CO_2和CH_4)的通量值分别有84%、80%和94%的结果高于零梯度测试精度,以上结果可以保证本套通量-梯度系统具有足够的精度测量池塘水-气界面温室气体交换通量;2通量-梯度计算结果表明此小型池塘在夏季为CO_2和CH_4的排放源,其排放通量平均值分别为0.038 mg·(m2·s)-1和0.889μg·(m2·s)-1,其中CH_4排放通量远高于内陆湖泊甲烷排放通量的中值,说明小型池塘的温室气体排放量是估算内陆水体温室气体排放量特别是CH_4排放量中不可忽视的重要量值,本研究结果可为准确估算区域温室气体排放量提供科学参考.

关 键 词:小型池塘  温室气体通量  水-气界面  通量-梯度方法  涡度相关方法  光谱分析仪
收稿时间:2016-05-20
修稿时间:2016-08-03

Greenhouse Gas Fluxes at Water-Air Interface in Small Pond Using Flux-Gradient Method Based on Spectrum Analyzer
ZHAO Jia-yu,ZHANG Mi,XIAO Wei,WANG Wei,WU Hong-yan,ZHANG Zhen,XIAO Qi-tao,HU Cheng,YU Zhou,CAO Zheng-d,XU Jing-zheng,LIU Shou-dong and LI Xu-hui. Greenhouse Gas Fluxes at Water-Air Interface in Small Pond Using Flux-Gradient Method Based on Spectrum Analyzer[J]. Chinese Journal of Environmental Science, 2017, 38(1): 41-51
Authors:ZHAO Jia-yu  ZHANG Mi  XIAO Wei  WANG Wei  WU Hong-yan  ZHANG Zhen  XIAO Qi-tao  HU Cheng  YU Zhou  CAO Zheng-d  XU Jing-zheng  LIU Shou-dong  LI Xu-hui
Affiliation:School of Physics and Optoelectronic Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China;Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China,Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China,Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China,Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China,School of Physics and Optoelectronic Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China,Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China,Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China,Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China,Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China,Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China,Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China,Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China and Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
Abstract:
Keywords:small pond  greenhouse gas fluxes  water-air interface  flux-gradient method  eddy covariance method  spectrum analyzer
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