东北地区湖泊CO2通量遥感估算研究

在全球大气CO2浓度升高和气候变暖的背景下，正确估算湖泊CO2通量对评价湖泊在大气温室气体源汇格局中的作用具有重要意义。但由于湖泊数量众多，类型多样，现有数据的数量和代表性有限，且没有考虑水体空间异质性，导致全球湖泊碳排放的估算差异高达近10倍。卫星遥感快捷、大范围和周期性的特点为湖泊碳通量估算提供了更好的研究手段。本项目选择具有冰封期的东北地区湖泊为研究对象，基于遥感技术，研究湖泊水体pCO2分布格局，探究湖泊盐度、营养状态因素对pCO2的影响；分析湖泊pCO2与环境因子间的潜在关系，揭示影响pCO2的主控环境因子；同时发展基于卫星产品的高精度pCO2遥感模型，进行东北地区湖泊水-气界面CO2通量估算，并明确冰封期对CO2通量的影响。本项目的实施对于探索pCO2等新参数遥感机理、遥感估算湖泊CO2通量具有重要的意义，为应对气候变化和准确评估区域内陆水体碳收支提供科学依据技术支持。

On the background of the rising global atmospheric CO2 concentration and climate warming, quantifying the carbon dioxide flux in lakes is essential for understanding the effect of lakes on global carbon budget. However, due to the large number and the spatial heterogeneity of lakes and range of typologies, the number and representativeness of available data are limited, resulting in large range in the estimation of global lake carbon emissions in past studies. The rapid, large-scale and periodic nature of satellite remote sensing provides a major opportunity for lake carbon flux estimation. In this study, the distribution of pCO2 in lakes in northeast China will be analyzed based on remote sensing technology, meanwhile, the effects of lake salinity, nutrients levels and other environmental factors on pCO2 will also be discussed. The potential relationship between pCO2 and environmental factors will be analyzed to explore the main control factor of pCO2. The high-precision pCO2 remote sensing model will be developed based on satellite products, and analyze the temporal and spatial variation characteristics of CO2 flux in these lakes to better identify the influence of freezing period. The study is of great significance to help enriching lake water color remote sensing theory and methods by exploring pCO2 remote sensing approaches, and provide the scientific basis and technical support for accurately evaluating the regional inland water body carbon budgets.