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	<id>https://wiki.signal-earth.org/index.php?action=history&amp;feed=atom&amp;title=Noise_exposure_%28dB-hours%29</id>
	<title>Noise exposure (dB-hours) - Revision history</title>
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	<updated>2026-06-01T15:11:07Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://wiki.signal-earth.org/index.php?title=Noise_exposure_(dB-hours)&amp;diff=154&amp;oldid=prev</id>
		<title>Rtuffli: SIGNAL publish from draft v134</title>
		<link rel="alternate" type="text/html" href="https://wiki.signal-earth.org/index.php?title=Noise_exposure_(dB-hours)&amp;diff=154&amp;oldid=prev"/>
		<updated>2026-05-30T18:46:43Z</updated>

		<summary type="html">&lt;p&gt;SIGNAL publish from draft v134&lt;/p&gt;
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|+ SIGNAL Earth Structured Data&lt;br /&gt;
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! Object type&lt;br /&gt;
| Damage Signal&lt;br /&gt;
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! SIGNAL Earth ID&lt;br /&gt;
| DS-00095&lt;br /&gt;
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! Observable type&lt;br /&gt;
| Noise exposure (dB-hours)&lt;br /&gt;
|-&lt;br /&gt;
! Unit&lt;br /&gt;
| dB-hours (sound level integrated over time)&lt;br /&gt;
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! Temporal structure&lt;br /&gt;
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{{SignalTerm|type=DS|id=DS-00095|label=Noise exposure (dB-hours)}} Noise exposure measured in decibel-hours (dB-hours) quantifies the cumulative impact of sound levels on human populations over time. It represents a key metric in assessing community noise and its potential effects on human health and well-being. This measure integrates both the intensity and duration of noise, providing a comprehensive indicator of environmental noise burden.&lt;br /&gt;
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Exposure to elevated noise levels has been associated with various adverse health outcomes, including cardiovascular and metabolic effects. Understanding and monitoring noise exposure is therefore essential for public health assessments and environmental management. The global scope of noise exposure reflects its widespread relevance across urban, suburban, and rural settings.&lt;br /&gt;
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This article describes noise exposure as an environmental Damage Signal within the SIGNAL Earth observatory system, outlining its definition, measurement, and contextual framework for environmental monitoring.&lt;br /&gt;
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== Geographic / System Context ==&lt;br /&gt;
Noise exposure occurs globally, affecting diverse geographic regions ranging from densely populated urban centers to quieter rural areas. The spatial distribution of noise sources, such as transportation networks, industrial activities, and community settings, shapes the patterns of exposure. Urban environments typically experience higher noise levels due to traffic, construction, and human activity, while rural areas may have lower baseline noise but can still be affected by localized sources. The geographic context of noise exposure is thus linked to land use, infrastructure, and population density, influencing the extent and intensity of community noise.&lt;br /&gt;
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== Monitoring and Measurement ==&lt;br /&gt;
Monitoring noise exposure involves measuring sound levels over time using standardized acoustic instrumentation and protocols. Sound level meters and integrated noise monitoring stations capture data on noise intensity, frequency, and duration. These measurements are often aggregated to calculate cumulative exposure metrics expressed in decibel-hours, which combine noise level (in decibels) with exposure duration (in hours). Institutions such as the World Health Organization ([https://en.wikipedia.org/wiki/World_Health_Organization WHO]) provide guidelines and frameworks for assessing environmental noise and its health impacts. Advances in sensor technology and data analytics facilitate frequent and spatially resolved monitoring of noise exposure across different environments.&lt;br /&gt;
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Within the SIGNAL system, noise exposure (dB-hours) is treated as a defined environmental signal whose boundaries and measurement conventions are described below.&lt;br /&gt;
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== Signal Definition ==&lt;br /&gt;
Noise exposure (dB-hours) quantifies the cumulative noise level experienced by human receptors over a specified time period. It is derived from the observable type measuring sound intensity in decibels integrated over exposure duration in hours. This signal reflects the receptor condition within the human domain, capturing the combined effect of noise magnitude and exposure time as a single metric indicative of environmental noise burden.&lt;br /&gt;
&lt;br /&gt;
== Boundary Conditions ==&lt;br /&gt;
Boundary inclusions encompass all community noise sources contributing to human exposure, including transportation noise, industrial activities, and neighborhood noise within inhabited areas. The measurement includes noise events occurring during defined temporal windows relevant to human activity and health impact assessments. Boundary exclusions consist of noise sources outside the community context, such as natural ambient sounds without anthropogenic origin, and noise exposures not directly affecting human populations, including uninhabited or restricted areas. Additionally, noise levels below established perceptual or health-relevant thresholds may be excluded depending on monitoring protocols.&lt;br /&gt;
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== Aggregation Semantics ==&lt;br /&gt;
Geographically, noise exposure data are aggregated across spatial units such as neighborhoods, urban districts, or broader regions to assess community-level exposure patterns. Temporal aggregation involves frequent measurement intervals, enabling analysis of daily, weekly, or seasonal exposure variations. Cross-signal aggregation may integrate noise exposure with related environmental stressors or health outcome signals to evaluate combined effects. Aggregation semantics ensure that noise exposure metrics are contextually meaningful and support comparative analysis across geographic and temporal scales within the SIGNAL framework.&lt;br /&gt;
&lt;br /&gt;
== Observational Status ==&lt;br /&gt;
Current monitoring of noise exposure is supported by a combination of fixed and mobile acoustic sensors, with increasing integration of real-time data collection technologies. Data availability varies by region, with more comprehensive coverage in urbanized areas. Future SIGNAL releases aim to enhance spatial resolution, incorporate standardized boundary definitions, and integrate noise exposure data with related environmental and health signals. Ongoing efforts focus on improving the temporal frequency of observations and harmonizing measurement conventions to support global comparative assessments.&lt;br /&gt;
&lt;br /&gt;
== Related Signals ==&lt;br /&gt;
* Annual count of noise exposure exceedance spells (declared spell rule)&lt;br /&gt;
* Annual frequency of Noise exposure (dB-hours) threshold exceedance events (declared threshold + averaging window)&lt;br /&gt;
* Community noise exposure level (transport-related)&lt;br /&gt;
* Transport noise emissions burden&lt;br /&gt;
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== Key Associated People ==&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Evi van Kempen&amp;#039;&amp;#039;&amp;#039; (National Institute for Public Health and the Environment (RIVM)) [Lead author]&lt;br /&gt;
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== Sources ==&lt;br /&gt;
* [https://doi.org/10.3390/ijerph15020379 WHO Environmental Noise Guidelines for the European Region: A Systematic Review on Environmental Noise and Cardiovascular and Metabolic Effects — 2018]&lt;br /&gt;
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		<author><name>Rtuffli</name></author>
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