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Monitoring visitors to natural areas in wintertime: issues in counter accuracy

机译:冬季监控自然地区的游客:计数器准确性问题

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The sustainable management of vulnerable natural areas requires accurate measurement of visitor flows, especially in mountain and protected areas. Pyroelectric sensors that detect the heat radiation emitted by human bodies are now commonly used in many regions, including Scandinavia and the UK, to count pedestrian traffic in both urban and natural areas. We used four different tests to investigate pyroelectric counters' accuracy in mountain winter conditions. Air temperature, distance to sensor, visitor clothing and visitor volume were all found to affect counter error rates. For tests within moderate winter temperatures (between 0℃ and - 18℃) counters reported within manufacturer's claimed accuracy at 5% for 2 m range, but for-21℃ and below visitor numbers were over reported by 10.9%. Counter accuracy was generally unaffected by visitor clothing within 2 m of the sensor, but at a 4 m distance counters frequently failed to detect individuals in insulating down jackets more than fleece jackets. Counter error rates were slightly higher in outdoor than indoor tests, but still accurate within 5%. Error rates increased with increasing visitor traffic. The findings provide methodological implications for researchers and managers using automated visitor counters to estimate wintertime visitor use in mountain areas.
机译:对脆弱自然区的可持续管理要求准确衡量游客流量,尤其是在山区和保护区。现在,在包括斯堪的纳维亚半岛和英国在内的许多地区中,用于检测人体发出的热辐射的热释电传感器通常用于计算城市和自然地区的行人流量。我们使用四个不同的测试来研究山区冬季热释电计数器的准确性。空气温度,到传感器的距离,访客衣服和访客体积都被发现会影响计数器错误率。对于冬季温度适中(0℃至-18℃之间)的测试,计数器报告的精度在制造商声称的2 m范围内为5%,但在21℃及以下的访客人数中报告的准确率超出了10.9%。计数器精度通常不受传感器2 m以内的访客衣服的影响,但在4 m距离处,计数器通常无法检测到比羽绒夹克更绝缘的羽绒服。在室外测试中,计数器的错误率略高于室内测试,但仍在5%以内。错误率随着访问者流量的增加而增加。研究结果为研究人员和管理人员使用自动访客计数器估算山区冬季访客使用量提供了方法论上的意义。

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