摘要
利用卫星监测XCO_(2)变化已成为一种有效手段。根据2009—2021年的GOSAT卫星数据并结合夜光遥感数据、净初级生产力遥感数据,探究辽宁省近13年XCO_(2)变化趋势,获取XCO_(2)变化的影响因素及XCO_(2)变化造成的影响。研究表明,自2009年起辽宁省XCO_(2)便处于稳定增长趋势,且辽东地区XCO_(2)总体高于辽西地区;通过相关系数计算得,夜光遥感数据与GOSAT数据相关系数较高,说明人类活动与XCO_(2)变化关系密切;NPP数据与XCO_(2)相关系数较低,说明植物的固碳能力并不是影响XCO_(2)变化的主要因素。相关研究可为省域范围的大气CO_(2)排放监测与治理提供一定的决策支持。
Using satellite to monitor the change of XCO_(2) has been an effective means.According to GOSAT satellite data from 2009 to 2021,nighttime light remote sensing data,net primary productivity remote sensing data,this paper explores the change trend of XCO_(2) in recent 13 years and obtains the influencing factors of XCO_(2) changes and the impact caused by XCO_(2) changes in Liaoning province.The results show that XCO_(2) has been in stable growth trend since 2009,and the XCO_(2) of eastern Liaoning province is higher than that of western Liaoning province in total.The correlation coefficient between the nighttime light remote sensing data and the GOSAT data is high,indicating that human activities has a close relation with the change of XCO_2.The correlation coefficient between NPP data and XCO_(2) is low,which indicates that the carbon sequestration ability of plants is not the main factor affecting the change of XCO_2.The relevant study can offer decision support for provincial monitoring and control of atmospheric carbon dioxide emission in a degree.
作者
高淑贤
彭雨欣
李文博
殷诗婷
马保东
GAO Shuxian;PENG Yuxin;LI Wenbo;YIN Shiting;MA Baodong(School of Resources and Civil Engineering,Northeastern University,Shenyang 110819,China)
出处
《测绘与空间地理信息》
2024年第11期29-32,40,共5页
Geomatics & Spatial Information Technology
基金
中央高校基本科研业务专项资金项目(N2124005、N2001020)资助。
关键词
CO_(2)柱浓度混合比
GOSAT卫星数据
夜光遥感数据
净初级生产力遥感数据
carbon dioxide column concentration mixing ratio
GOSAT satellite data
nighttime light remote sensing data
net primary productivity remote sensing data
