Solar ultraviolet radiation (UVR) is a highly energetic component of the solar spectrum that needs to be monitored because of the effects on human health and on the ecosystems. In Brazil, few cities monitor UVR, especially in the Amazon region which is particularly poor in observation. This work is the first to address the short-term (2-year) time variability of UVR in Santarém (2°25′ S, 54°44′ W, 51 m) using ground-based measurements. The irradiance in the wavelength range of 250–400 nm was investigated on different time scales. Furthermore, to understand how the UVR varies without the influence of clouds, the hours corresponding to the clear sky condition were analyzed as well as the hours in all sky conditions. Regarding the averages, there is a slight variation over the year. In all sky and clear sky conditions, the dry season had a higher average than the rainy season, despite the slight difference. Also, both in all-sky and clear-sky conditions the maximums occurred around local solar noon, and reached a maximum of 87 in the dry season under the clear sky condition. Further understanding of the radiative effects of the clouds in UVR time variability is considered essential for future research. This study can serve as a reference for UVR levels in this region where no other ground-based UVR measurements are made.
Despite being a minor part of the atmosphere's composition, the so-called greenhouse gases play a crucial role in their thermodynamics. Over the past 200 years, however, human activities have significantly altered the global carbon cycle. Thus, in the current context of global warming, quantifying, with increasingly reliable values, greenhouse gas emissions and the global carbon cycle has become one of scientists’ priorities. This study aims to develop a system for acquisition and wireless transmission of carbon dioxide data from the C-Sense, a sensor manufactured by Turner Designs. As result, a reliable, compact and versatile circuit has been developed that acts as an embedded system for monitoring CO2 concentration and partial pressure, as well as two temperature variables. Regarding the transmission of data via radio frequency, its data transmission has a range of 470 m without loss. A Python script has been implemented that stores data and generates real-time graphs for system monitoring.
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