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中国甲烷浓度季节性变化与水稻种植关系研究OA

Seasonal Methane Concentration Variations Related to Rice Cultivation in China

中文摘要英文摘要

甲烷是一种重要的温室气体,水稻种植是甲烷排放的主要人为源之一.传统地面观测手段受限于空间覆盖率和时间连续性,难以有效捕捉农业活动的动态变化过程,来自卫星的观测为精准解析甲烷浓度时空演变提供了全新视角.对流层观测仪(TROPOMI)作为搭载于 Sentinel-5P卫星上的新型传感器,具备 5.5 km×7 km的高空间分辨率和近实时观测能力.本研究创新性地结合 STL区域时间序列分解方法,通过季节变化特征和 K-means聚类方法,全面分析了 2018~2022年中国区域的甲烷浓度时空变化特征,将中国区域甲烷浓度的季节性变化归纳为四类模态,并深入探讨了这些模态与水稻种植(种植密度、种植模式)之间的相互联系.研究表明,中国甲烷浓度空间分布与水稻主产区契合度较高,总体呈现东南沿海向西北内陆递减的梯度特征,在2018~2022年间甲烷浓度逐年上升,且大部分省份的甲烷四年平均增幅在 0.6%以上.此外,首次揭示了四种主要的季节性模态(单峰型、双峰型、三峰型和多峰型)与不同地区的水稻种植密度、种植模式之间的关系,反映出地区的水稻种植是甲烷季节变化特征的决定性因素.

Methane is an important greenhouse gas,and rice cultivation is a major anthropogenic source of methane emissions.Traditional ground-based observations of methane are limited by spatial coverage and temporal continuity,hindering effective capturing of the dynamic process of agricultural activities.Satellite observations provide a new perspective for precisely analyzing the temporal and spatial evolution of methane concentration.The TROPOspheric Monitoring Instrument(TROPOMI),as a new type of sensor mounted on the Sentinel-5P satellite,has a high spatial resolution of 5.5 km×7 km and possesses near real-time observation capabilities.In this study,we apply seasonal and trend decomposition using Loess to extract seasonal and long-term trend components,and then use K-means clustering to analyze the spatiotemporal variations of methane concentrations in China from 2018 to 2022.Furthermore,we categorize the seasonal variations of methane concentration in China into four modes and comprehensively explore the interconnections between these modes and rice cultivation(planting density and patterns).The results indicate that the spatial distribution of methane concentration in China aligns well with the main rice production areas and generally decreases from the southeast coast to the northwest inland regions,with methane concentration increasing year on year from 2018 to 2022.The four-year average increase of methane in most provinces is above 0.6%.In addition,the study identifies the four main seasonal modes(i.e.,single-peak,double-peak,triple-peak,and multi-peak),and unconvers their relationship with rice planting density and planting patterns in different regions for the first time,reflecting that regional rice planting is a determinant of the seasonal variation characteristics of methane.

吴星沂;金建炳;夏霁;方力;廖宏

南京信息工程大学环境科学与工程学院/气候系统预测与变化应对全国重点实验室/江苏省大气环境监测与污染控制高技术研究重点实验室/江苏省大气环境与装备技术协同创新中心,南京 210044南京信息工程大学环境科学与工程学院/气候系统预测与变化应对全国重点实验室/江苏省大气环境监测与污染控制高技术研究重点实验室/江苏省大气环境与装备技术协同创新中心,南京 210044南京信息工程大学环境科学与工程学院/气候系统预测与变化应对全国重点实验室/江苏省大气环境监测与污染控制高技术研究重点实验室/江苏省大气环境与装备技术协同创新中心,南京 210044南京信息工程大学环境科学与工程学院/气候系统预测与变化应对全国重点实验室/江苏省大气环境监测与污染控制高技术研究重点实验室/江苏省大气环境与装备技术协同创新中心,南京 210044南京信息工程大学环境科学与工程学院/气候系统预测与变化应对全国重点实验室/江苏省大气环境监测与污染控制高技术研究重点实验室/江苏省大气环境与装备技术协同创新中心,南京 210044

天文与地球科学

甲烷季节性模态水稻种植对流层观测仪(TROPOMI)K-means聚类方法

MethaneSeasonal modesRice CultivationTROPOMI(TROPOspheric Monitoring Instrument)K-means clustering

《大气科学》 2026 (2)

463-477,15

国家自然科学基金项目42475150,江苏省自然科学基金项目BK20220031 National Natural Science Foundation of China(Grant 42475150),Natural Science Foundation of Jiangsu Province(Grant BK20220031)

10.3878/j.issn.1006-9895.2504.24111

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