Fusion of Mobile In situ and Satellite Remote Sensing Observations of Chemical Release Emissions to Improve Disaster Response
نویسندگان
چکیده
Chemical release disasters have serious consequences, disrupting ecosystems, society, and causing significant loss of life. Mitigating the destructive impacts relies on identification and mapping, monitoring, and trajectory forecasting. Improvements in sensor capabilities are enabling airborne and space-based remote sensing to support response activities. Key applications are improving transport models in complex terrain and improved disaster response. Understanding urban atmospheric transport in the Los Angeles Basin, where topographic influences on transport patterns are significant, was improved by leveraging the Aliso Canyon leak as an atmospheric tracer. Plume characterization data was collected by the AutoMObile trace Gas (AMOG) Surveyor, a commuter car modified for science. Mobile surface in situ CH4 and winds were measured by AMOG Surveyor under Santa Ana conditions to estimate an emission rate of 365 ± 30% Gg year−1. AMOG Surveyor also leveraged local topography for vertical profiling to identify the planetary boundary layer at ∼700m. Topography significantly constrained plume dispersion by up to a factor of two. The observed plume trajectory was used to validate satellite aerosol optical depth-inferred atmospheric transport, which suggested the plume first was driven offshore, but then veered back toward land. Numerical long-range transport model predictions confirm this interpretation. This study demonstrated a novel application of satellite aerosol remote sensing for disaster response.
منابع مشابه
Evaluation of PM2.5 Emissions in Tehran by Means of Remote Sensing and Regression Models
Defined as any substance in the air that may harm humans, animals, vegetation, and materials, air pollution poses a great danger to human health. It has turned into a worldwide problem as well as a huge environmental risk. Recent years have witnessed the increase of air pollution in many cities around the world. Similarly, it has become a big problem in Iran. Although ground-level monitoring ca...
متن کاملEvaluation of PM2.5 Emissions in Tehran by Means of Remote Sensing and Regression Models
Defined as any substance in the air that may harm humans, animals, vegetation, and materials, air pollution poses a great danger to human health. It has turned into a worldwide problem as well as a huge environmental risk. Recent years have witnessed the increase of air pollution in many cities around the world. Similarly, it has become a big problem in Iran. Although ground-level monitoring ca...
متن کاملData Fusion and Multi-Criteria Decision Making for Producing Oil and Gas Resources Potential Maps (Case Study: Saracheh Zone, Qom Province)
This paper focuses on the application of Geoinformatic methods (simultaneous using of remote sensing, geographic information system, global positioning system, terrestrial and aerial photogrammetry) in optimal operation and exploration risk reduction of oil and gas reservoirs. To approach the purpose, two aspects of remote sensing (satellite image) and terrestrial and aerial photogrammetry have...
متن کاملMonitoring Meteorological Drought in Iran Using Remote Sensing and Drought Indices
Drought is a major environmental disaster in many parts of the world. Knowledge about the timing, severity and extentof drought can aid planning and decision-making. Drought indices derived from in-situ meteorological data have coarsespatial and temporal resolutions, thus, obtaining a real-time drought condition over a large area is difficult. This studyused advanced very high resolution radiom...
متن کاملDetecting Surface Waters Using Data Fusion of Optical and Radar Remote Sensing Sensor
Identification and monitoring of surface water using remote sensing have become very important in recent decades due to its importance in human needs and political decisions. Therefore, surface water has been studied using remote sensing systems and Sentinel-1 and Sentinel-2 sensors in this study. In this paper, two data fusion approaches and decision fusion improve the accuracy of surface wate...
متن کامل