| Methane is a potent greenhouse gas, whose greenhouse effect is 72 times of CO2. From the beginning of the Industrial Revolution, atmospheric methane concentrations increased more than doubled. Therefore, there’s important meaning of discussing the impact of the underlying surface changes caused by human-induced on methane emissions. In order to analyze the coupling relationship between near-surface atmospheric methane concentrations with underlying surface（land cover, meteorological factors and topography, etc.）, the temporal-spatial distribution characteristic of methane in Jiangsu are discussed from multi-angle and multi-level during 20032010, using SCIAMACHY XCH4 data product, GlobeLand30 land cover data, meteorological data and the DEM raster data. Two different sampling methods are designed to show the variation of atmospheric methane concentration over different underlying surface and to explain how human activity, meteorological and other factors play roles in the middle-scale. The research above can be helpful to provide scientific advice and effective improvement measures about energy conservation, emission reduction and reducing the greenhouse effect.After non-parametric tests, interpolation, mathematical statistics and other processing,methane concentration data of Jiangsu were analyzed from three time scales, as monthly, seasonal and interannual scales, and three spatial scales, as province, city, and height classification. Further more, the coupling effect among underlying surface land cover types, meteorological factors and the near-surface methane concentrations are discussed from both qualitative and quantitative methods. Taking 0.5°× 0.5°（longitude×latitude） scale grid and weather stations buffer as sampling approach, using Parman, Kendall’s taub and Spearman correlation coefficient as rulers, methane concentration data and land cover data related relationship are measured. Finally, the effects of meteorological factors and human activities on the distribution of methane were analyzed based on years of statistical yearbook data.The results show that near-surface methane concentrations in Jiangsu increase in summer and autumn, decreas in winter and spring, with a trend of increased over time.The near-surface methane concentrations near coastal is lower than that in central Jiangsu. The higher methane concentrations are located in north of Jiangsu and south of Jiangsu. The statistics also showed that the correlation between methane concentration data and land cover types varys with time, and the correlation is more obvious in summer and fall. The methane concentration shows a positive correlation in summer, a negative correlation or weak correlation in other seasons, with artificial surface and farmland. The methane concentration mainly shows a positive correlation with water and a negative correlation with ocean during summer. The concentration of methane mainly shows a positive correlation with water, a negative correlation with ocean during the summer, a negative correlation with meadows and forests in summer and autumn, which becomes weaker in spring and autumn.The spatial and temporal variations of atmospheric methane were effected by the combined effect of precipitation, temperature, soil moisture, methane bacteria activity, atmospheric OH free radical concentration, rice planting area, municipal solid waste, domestic water consumption, number of livestock keeper and hydrocarbon fuel usage etc. The Interaction of methane sources and sinks eventually formed the spatial and temporal characteristics of near-surface atmospheric methane concentration. In addition to the natural emission sources of methane, such as coal mine and marine, most of the methane sources produced by methane bacteria anaerobic respiration, such as paddy fields, wetlands, garbage, etc.,emissions strongly in summer. As a result, correlations between surface coverage and near-surface atmospheric methane concentration are more obvious in summer. |
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