杨帆, 张哲, 赵冬梅, 商井远, 顾吉星, 王燕, 赵仕兰, 林忠胜. 辽河在线监测站营养盐数据质量的分析与评价[J]. 海洋环境科学, 2022, 41(2): 187-192. DOI: 10.12111/j.mes.20200104
引用本文: 杨帆, 张哲, 赵冬梅, 商井远, 顾吉星, 王燕, 赵仕兰, 林忠胜. 辽河在线监测站营养盐数据质量的分析与评价[J]. 海洋环境科学, 2022, 41(2): 187-192. DOI: 10.12111/j.mes.20200104
YANG Fan, ZHANG Zhe, ZHAO Dong-mei, SHANG Jing-yuan, GU Ji-xing, WANG Yan, ZHAO Shi-lan, LIN Zhong-sheng. Analysis and evaluation of nutrients data quality in Liaohe online monitoring station[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2022, 41(2): 187-192. DOI: 10.12111/j.mes.20200104
Citation: YANG Fan, ZHANG Zhe, ZHAO Dong-mei, SHANG Jing-yuan, GU Ji-xing, WANG Yan, ZHAO Shi-lan, LIN Zhong-sheng. Analysis and evaluation of nutrients data quality in Liaohe online monitoring station[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2022, 41(2): 187-192. DOI: 10.12111/j.mes.20200104

辽河在线监测站营养盐数据质量的分析与评价

Analysis and evaluation of nutrients data quality in Liaohe online monitoring station

  • 摘要: 近年来,我国海洋环境在线监测体系正由研究探索阶段进入实际应用阶段,但在线监测数据质量尤其是营养盐参数的数据质量仍有待提高。为了提高在线监测数据的代表性和准确性,本研究以辽河在线监测站营养盐监测数据为研究对象,通过在线监测设备性能评估及比对实验等质控手段,对营养盐在线监测的数据质量进行分析与评价。结果表明,辽河在线监测站总磷参数的在线监测数据质量最好,与实验室分析数据的相关系数为0.901,配对t检验显著性水平为0.112;硝酸盐、磷酸盐和氨氮等参数的在线监测数据可以反映监测点位的水质变化趋势,但准确度有待进一步提高。

     

    Abstract: In recent years, the online monitoring system of marine environment in China is developed from research and exploration to practical application. However, the quality of the online monitoring data, especially the nutrients data, still needs to be well improved. In order to improve the representativeness and accuracy of nutrient online monitoring data, in this study, the quality of nutrient online monitoring data from Liaohe online monitoring station was evaluated, by means of performance assessment of online monitoring equipment and contrast experiments. The results showed that the data quality of the total phosphorus from the Liaohe online monitoring station was good, with a correlation coefficient of 0.901 with the laboratory analysis data, and the significance level of double sample t test was 0.112. The online monitoring data of nutrient parameters such as nitrate, phosphate and ammonia nitrogen can reflect the changing trend of water quality of the monitoring site, but the accuracy of the data needs to be further improved.

     

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