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Advanced human heat exposure sensing using two cylinder anemometer and radiometer: introducing CARla
Konrad Rykaczewski1,2, Ankit Joshi3,4, Shri H Viswanathan3
1School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA. konradr@asu.edu.
A new sensor, CARla, accurately measures wind speed and radiation, crucial for understanding extreme heat exposure. This affordable tool aids in heat action planning and urban design to mitigate health risks.
Area of Science:
- Environmental Science
- Biometeorology
- Urban Planning
Background:
- Extreme heat poses significant health risks, often exacerbated by radiative heat exposure.
- Current methods for measuring radiative heat are often expensive, inaccurate, or not user-friendly.
- Hyperlocal biometeorological data is essential for effective heat action planning and urban design.
Purpose of the Study:
- To develop an affordable, accurate, and user-friendly sensor for measuring human exposure to extreme heat.
- To quantify both wind speed and total absorbed radiation, key components of thermal comfort.
- To improve heat action planning, emergency responses, and urban design through better biometeorological data.
Main Methods:
- Development of a two-cylinder anemometer and radiometer (CARla) with unheated and heated gray components.
- Optimization of CARla's geometrical parameters to minimize measurement errors.
- Field experiments conducted at 15 outdoor sites in Tempe, Arizona, during a heatwave.
- Comparison of CARla measurements with standard 3-way net radiometers and ultrasonic anemometers.
Main Results:
- CARla accurately measured mean radiant temperature (MRT) with an average error of 1.3 ± 2.2 °C across a wide range (20-75 °C).
- Wind speed measurements from CARla showed an average difference of -0.05 ± 0.36 m·s⁻¹ compared to ultrasonic anemometers.
- The sensor's spectral properties match standard absorptivity used in MRT calculations.
- CARla demonstrated significant improvements over other low-cost radiometers.
Conclusions:
- CARla provides a cost-effective and accurate solution for characterizing human exposure to extreme heat.
- The sensor's ability to measure both wind speed and radiation enhances its utility for hyperlocal biometeorological assessments.
- Integration with an Arduino logger creates an accessible tool for public health and urban planning initiatives.
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