LI-8100A型土壤碳通量仪的数据质量控制分析  

Data quality control analysis of a LI-8100A automated soil CO2 flux system

作　　者：张雪腾 闭建荣[1,2] 张琳焓 ZHANG Xue-teng;BI Jian-rong;ZHANG Lin-han(Key Laboratory for Semi-arid Climate Change of the Ministry of Education,Field Scientific Observation and Research Station of Semi-arid Climate and Environment of Gansu Province,College of Atmospheric Sciences,Lanzhou University,Lanzhou 730000,China;Collaborative Innovation Center for Western Ecological Safety,Lanzhou University,Lanzhou 730000,China)

机构地区：[1]兰州大学大气科学学院,半干旱气候变化教育部重点实验室,甘肃省半干旱气候与环境野外科学观测研究站,兰州730000 [2]兰州大学西部生态安全省部共建协同创新中心,兰州730000

出　　处：《兰州大学学报（自然科学版）》2023年第4期546-554,共9页Journal of Lanzhou University(Natural Sciences)

基　　金：甘肃省野外科学观测研究站建设项目(18JR2RA013);甘肃省科技重大专项(18ZD2FA009);中央高校基本科研业务费专项资金项目(LZUJBKY-2022-KB02,LZUJBKY-2022-SP04)。

摘　　要：基于LI-8100A型多通道土壤碳通量测量系统的长期观测资料进行数据质量控制分析,提出一种科学有效的自动化质量控制方法.采用物理极值范围检验、1.5倍标准差检验、数据稳定性判据检验和空间一致性检验等方法对多通道土壤CO_(2)通量数据进行质量控制,筛选、甄别出观测过程中不合理的异常数据点并剔除.利用该方法对兰州大学半干旱气候与环境观测站2020年7、12月的土壤CO_(2)通量原始数据资料进行质量控制分析.结果表明,该方法具有良好的操作性与实用性,可实现计算机程序自动化处理,对异常野点数据的检测效率较高,能有效提高多通道土壤CO_(2)通量数据的准确性、一致性、处理时效和资料质量.A scientific,effective and automated quality control method was proposed for the long-term observation data of LI-8100A multi-channel soil carbon flux measurement system.The multi-channel soil respiration rate data were quality controlled by the physical extremum range test,1.5 times standard deviation test,data stability criterion test and spatial consistency test,and the unreasonable abnormal data points in the observation process were discriminated and screened out,and reasonable elimination carried out.According to the method,the raw data from the Semi-arid Climate and Environment Observation Station of Lanzhou University for July and December 2020 underwent a quality control analysis.The results showed that the quality control method was of good operability and practicability,which could realize the automatic processing of computer programs,and the detection efficiency of abnormal field point data was high;the accuracy,consistency,processing timeliness and data quality of multi-channel soil respiration rate data could be effectively improved.

关 键 词：土壤碳通量仪 土壤呼吸速率 全球碳循环 数据质量控制 

分 类 号：P413[天文地球—大气科学及气象学]