Recent studies show the significance of the data on microlevel pollution which includes severe air pollutants and their impacts on human. Conventional methods of measuring air quality need skilled personnel for accurate data measurement that are based on stationary and limited measuring station networks. However, it is costly to seize the spatio-temporal variability and to recognize pollution hotspots that are necessary to develop real-time exposure control strategies. Due to the restricted accessibility of information and the non-scalability of standard techniques for air pollution monitoring, a real-time system with both higher spatial and temporal resolution is crucial. In recent times, unmanned aerial vehicles UAVs mounted with various sensors have been implemented for on-site air quality surveillance as they can offer new methods and research possibilities in air pollution and emission tracking, as well as in the study of environmental developments. Low-cost wireless sensors have been using for monitoring purpose in the past studies, and when results obtained are validated with the stationary monitoring instruments, the coefficient of correlation R 2 is found to be varied from 0.
Department of Transportation Unmanned Aircraft System (UAS) Service Demand 2015-2035
Effects of Unmanned Aircraft on Seabirds and Marine Mammals
Unmanned aircraft systems UAS have become a quickly growing part of the aviation community over the last five to ten years. More and more of these aircraft are flying in the National Airspace System NAS with each passing year, without any set rules governing their operation. With the growing population of UAS in the NAS, for military, civil, and commercial use, the need for regulation is becoming increasingly obvious. How to regulate this type of aircraft is no simple task. Taking into consideration. Unmanned Aircraft Systems are constantly evolving. The latest developments in UAS include features that can be abused by operators, such as anti-drone technologies, or that can increase the risk of accidents and unsafe incidents.
Unmanned aerial vehicle
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We found that wildlife reactions depended on both the UAS attributes flight pattern, engine type and size of aircraft and the characteristics of animals themselves type of animal, life-history stage and level of aggregation. Target-oriented flight patterns, larger UAS sizes, and fuel-powered noisier engines evoked the strongest reactions in wildlife. Animals during the non-breeding period and in large groups were more likely to show behavioral reactions to UAS, and birds are more prone to react than other taxa. We discuss the implications of these results in the context of wildlife disturbance and suggest guidelines for conservationists, users and manufacturers to minimize the impact of UAS. In addition, we propose that the legal framework needs to be adapted so that appropriate actions can be undertaken when wildlife is negatively affected by these emergent practices.