错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Aerosol Atmospheric Rivers: Detection and Spatio-Temporal Patterns

  • Manish Kumar Goyal,
  • Kuldeep Singh Rautela

摘要

Aerosol Atmospheric Rivers (AARs) are a complex environmental phenomena that have a significant impact on the sustainability of the environment and human health. The formation, dynamics, types, causes, health effects, monitoring, mitigation, adaptive techniques, future directions, and research requirements associated with AARs are all thoroughly examined in this study. Similar to traditional atmospheric rivers (ARs), AARs carry a wide variety of aerosols over great distances, such as dust, black carbon, dust, organic carbon, sea salt, and sulphates, influencing global environmental conditions and air quality. The monitoring of AARs utilizes datasets such as the MERRA-2 hourly aerosol reanalysis dataset, coupled with an advanced global AR algorithm to detect the shapes of AARs of key aerosol species. Supporting the characterization of aerosol composition, sources, transport modes, and spatio-temporal distribution, these initiatives contribute to the development of thorough evaluations of the health effects of air pollution caused by AAR. AAR-induced aerosol pollution has both acute and long-term health impacts, especially for vulnerable populations over the Indo-Gangetic Plains, Eastern China, South African regions, western USA, etc. This makes interdisciplinary cooperation and adaptive mitigation solutions necessary. Future research will concentrate on interdisciplinary collaboration, technical advancements, and long-term assessments of health consequences to address novel issues arising from AARs and safeguard public health against climate change. However, this study emphasizes how critical it is to understand and reduce the health concerns linked to extreme aerosol pollution caused by AARs through cooperative research, creative technology, and proactive governmental actions.