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Open AccessArticle

Estimation of Individual Exposure to Erythemal Weighted UVR by Multi-Sensor Measurements and Integral Calculation

1
College of Architecture, University of Oklahoma, Norman, OK 73019, USA
2
Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA
3
Center for Primary Care and Public Health (Unisanté), Department of Occupational and Environmental Health, University of Lausanne, CH-1015 Lausanne, Switzerland
4
Department of Geography, Texas A&M University, College Station, TX 77843, USA
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(15), 4068; https://doi.org/10.3390/s20154068
Received: 17 June 2020 / Revised: 14 July 2020 / Accepted: 19 July 2020 / Published: 22 July 2020
(This article belongs to the Section Physical Sensors)
Ultraviolet radiation (UVR) can be hazardous to humans, especially children, and is associated with sunburn, melanoma, and the risk of skin cancer. Understanding and estimating adults’ and children’s UVR exposure is critical to the design of effective interventions and the production of healthy UVR environments. Currently, there are limitations to the ways computer modeling and field measurements estimate individual UVR exposure in a given landscape. To address these limitations, this study developed an approach of integral calculation using six-directional (up, down, south, north, east, and west) field-measured UVR data and the estimated body exposure ratios (ER) for both children and adults. This approach showed high agreement when compared to a validated approach using ambient UVR and estimated ER data with a high r-square value (90.72% for child and adult models), and a low mean squared error (6.0% for child model and 5.1% for adult model) in an open area. This approach acting as a complementary tool between the climatology level and individual level can be used to estimate individual UVR exposure in a landscape with a complicated shady environment. In addition, measuring daily UVR data from six directions under open sky conditions confirmed that personal dosimeters underestimate actual individual UVR exposure. View Full-Text
Keywords: individual UVR exposure; multi-sensor UVR measurement; children UVR health individual UVR exposure; multi-sensor UVR measurement; children UVR health
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Cheng, W.; Brown, R.; Vernez, D.; Goldberg, D. Estimation of Individual Exposure to Erythemal Weighted UVR by Multi-Sensor Measurements and Integral Calculation. Sensors 2020, 20, 4068.

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