Air pollution refers to the release of pollutants into the atmosphere, which has profound impacts on the environment and human health. For example, urban haze pollution and ozone pollution cause great harm to health. In addition, regional air pollution can affect atmospheric oxidation and climate change, which in turn affects the ecosystem. As an important monitoring method of air pollution, remote sensing plays a significant role in studying the temporal and spatial distribution of air pollution, as well as its impact mechanism on the ecosystem. The continually improved spatial resolution of sensors acts a key component to satisfy the description of the pollution-ecology interactions on a regional scale. The changes in ecosystem and atmospheric environment in turn, influence the budget and chemistry of air pollutants and remote sensing monitoring.
An adequate understanding and improved representation of these complex interactions is crucial for air pollution control, climate change mitigation, and ecosystem restoration. To fully understand these interaction mechanisms requires a large amount of monitoring data (ground, aircraft, and satellite) and multiple models (box model, regional model, and global model). This Research Topic aims to cover all theoretical, observational, experimental, and modeling studies that present new knowledge of air pollution, remote sensing, and pollution-ecology interactions on the regional scale.
Areas to be covered in this research topic may include, but are not limited to:
• Sources and formation mechanisms of air pollution, including how pollutants are transformed or removed through transport, chemical reactions and photolysis and the rates of formation and conversion of air pollutants via atmospheric reactions.
• Application of remote sensing monitoring technology in air pollution and ecology, including air pollution remote sensing, data-processing, phenomena and evolution of ecosystem and environments, classification and object-analysis, etc.
• Air pollution physical and chemical processes that affect climate and ecosystem, including aerosol pollution, biomass burning, dust, ozone, multiphase chemistry, etc.
• Interactions among air pollution, remote sensing and ecosystem, as well as the roles of these interactions in boundary layer dynamics, weather and climate change, etc.
Air pollution refers to the release of pollutants into the atmosphere, which has profound impacts on the environment and human health. For example, urban haze pollution and ozone pollution cause great harm to health. In addition, regional air pollution can affect atmospheric oxidation and climate change, which in turn affects the ecosystem. As an important monitoring method of air pollution, remote sensing plays a significant role in studying the temporal and spatial distribution of air pollution, as well as its impact mechanism on the ecosystem. The continually improved spatial resolution of sensors acts a key component to satisfy the description of the pollution-ecology interactions on a regional scale. The changes in ecosystem and atmospheric environment in turn, influence the budget and chemistry of air pollutants and remote sensing monitoring.
An adequate understanding and improved representation of these complex interactions is crucial for air pollution control, climate change mitigation, and ecosystem restoration. To fully understand these interaction mechanisms requires a large amount of monitoring data (ground, aircraft, and satellite) and multiple models (box model, regional model, and global model). This Research Topic aims to cover all theoretical, observational, experimental, and modeling studies that present new knowledge of air pollution, remote sensing, and pollution-ecology interactions on the regional scale.
Areas to be covered in this research topic may include, but are not limited to:
• Sources and formation mechanisms of air pollution, including how pollutants are transformed or removed through transport, chemical reactions and photolysis and the rates of formation and conversion of air pollutants via atmospheric reactions.
• Application of remote sensing monitoring technology in air pollution and ecology, including air pollution remote sensing, data-processing, phenomena and evolution of ecosystem and environments, classification and object-analysis, etc.
• Air pollution physical and chemical processes that affect climate and ecosystem, including aerosol pollution, biomass burning, dust, ozone, multiphase chemistry, etc.
• Interactions among air pollution, remote sensing and ecosystem, as well as the roles of these interactions in boundary layer dynamics, weather and climate change, etc.
