我国是人类活动改变下垫面最剧烈的地区之一，大量研究分析了下垫面变化对气候的影响，但很少有研究关注其对大气环境的影响。在前期研究北京城市化对大气边界层和大气环境影响的过程中，提出一个科学问题：我国下垫面的变化对气溶胶浓度究竟有何影响？随着数值模式的发展和完善，利用数值模拟方法研究下垫面对气溶胶的影响成为可能。基于模式开发等研究基础，本申请项目拟利用MODIS土地利用、叶面积指数、归一化植被指数等资料，分析我国土地利用/植被覆盖时空变化趋势，将下垫面资料输入到我国自主研发的大气化学模式CUACE中，并在CUACE模式中耦合新的植被排放和干沉降参数化方案，完善下垫面对气溶胶影响的理化过程在模式中的表征，利用敏感性试验等方法量化下垫面变化对气溶胶浓度的影响。研究结果将加深地表特征对大气环境影响机理的认知，提高气溶胶浓度预报准确率，为大气污染防治等工作提供科学技术支撑，具有重要的科学意义和应用价值。

China is one of the areas where human activities change the underlying surface most dramatically. A lot of research has focused on the impact of the underlying surface change on climate. However, few studies have focused on its impact on the atmospheric environment. In the process of studying the impact of urbanization on atmospheric boundary layer and atmospheric environment in Beijing, a scientific question is raised: What is the impact of the change of underlying surface on aerosol concentration in China? With the development and improvement of numerical model, it is possible to study the influence of underlying surface on aerosol by numerical simulation method. Based on the model development and other research foundations, this project intends to use MODIS land use, leaf area index, normalized vegetation index and other data to analyze the spatial and temporal trends of land use/vegetation cover in China. To better represent physical and chemical processes of the influence of the underlying surface on aerosol, the MODIS underlying surface data will be inputted into the atmospheric chemical model CUACE, and new parameterization schemes of vegetation emissions and dry subsidence will be coupled in CUACE model. The influence of the underlying surface change on aerosol concentration will be quantified by numerical sensitivity test. The results will deepen the understanding of the mechanism of impact of surface characteristics on atmospheric environmental, improve the accuracy of aerosol concentration prediction, and provide scientific and technological support for the prevention and control of atmospheric pollution. It has important scientific significance and application value.