基于OCO-2卫星遥感数据的三峡库区XCO_(2)时空特征演变分析  

Analysis on the Spatial-temporal Evolution of XCO_(2) in the Three Gorges Reservoir Region Based on OCO-2 Satellite

作　　者：阮琳 曹维佳 杨国兴 张丽丽 牟晓莉 RUAN Lin;CAO Weijia;YANG Guoxing;ZHANG Lili;MOU Xiaoli(Yangtze Three Gorges Technology&Economy Development Co.,Ltd.(TGDC),Beijing 100038,China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;Zhongke Langfang Institute of Spatial Information Applications,Langfang 065001,China)

机构地区：[1]长江三峡技术经济发展有限公司,北京100038 [2]中国科学院空天信息创新研究院,北京100094 [3]中科空间信息(廊坊)研究院,廊坊065001

出　　处：《航天返回与遥感》2022年第6期141-151,共11页Spacecraft Recovery & Remote Sensing

基　　金：国家自然科学基金(41907192);河北省自然科学基金(D2022103002);资源与环境信息系统国家重点实验室开放基金;民用航天预研项目(D040102)。

摘　　要：定量分析三峡库区大气二氧化碳柱浓度混合比(XCO_(2))演变趋势及空间分布,能有效探究水电工程对库区大气CO_(2)浓度的影响,对实现国家“双碳”目标,调节能源结构具有重要参考价值。文章选取轨道碳观测卫星-2(OCO-2)卫星观测数据,基于反距离权重(IDW)插值,利用曼-肯德尔(Mann-Kendall)法非参检验、森氏(Sen’s)斜率估计、空间自相关分析以及冷热点算法,分析研究区大气CO_(2)的演变趋势和空间特征。研究结果表明:1)2015~2020年,三峡库区各区县大气CO_(2)月均、年均浓度呈上升趋势,研究区整体呈显著增长趋势;冬季大气CO_(2)浓度最高,秋季最低,表现出明显的季节性周期变化。2)2015~2020年三峡库区大气CO_(2)具有较高空间相关性,且部分区域表现出冷热点聚集现象。3)三峡库区XCO_(2)与全国平均水平具有良好一致性,三峡工程的建设并未导致三峡库区CO_(2)浓度升高。To achieve China’s "dual carbon" target and adjust the country’s energy structure, it is essential to do significant research on the impact of hydroelectric projects in the Three Gorges Reservoir Region on atmospheric CO_(2) concentrations. Quantitative analysis of the evolution trend of the atmospheric XCO_(2) and its spatial distribution is one of the most effective measurement techniques. In this paper, we employed OCO-2 satellite data, inverse distance weight(IDW) interpolation, the Mann-Kendall nonparametric test, Sen’s slope estimation, spatial autocorrelation analysis, and cold hot spot methods to analyze the evolution trend and spatial distribution of atmospheric CO_(2) in the study area. The research results have shown that: 1) From 2015 to 2020, the monthly and annual average atmospheric CO_(2) concentration of each district and county in the Three Gorges Reservoir Region showed an increasing trend, and the overall study area showed a significant growth trend. The atmospheric CO_(2) concentration was the highest in winter and the lowest in autumn, showing obvious seasonal cycle change. 2) The atmospheric CO_(2) in the Three Gorges Reservoir Region from 2015 to 2020 has a high spatial correlation, and some regions show the phenomenon of cold and hot aggregation. 3) The XCO_(2) in the Three Gorges Reservoir Region is consistent with the national average level, and the construction of the Three Gorges Project did not lead to the increase of CO_(2) concentration in the Three Gorges Reservoir Region.

关 键 词：三峡库区 二氧化碳浓度 时空特征 卫星遥感 

分 类 号：P456.7[天文地球—大气科学及气象学]