In Japan, environmental quality standards for noise have been established as desirable benchmarks to protect human health and preserve the living environment. For aircraft noise, a separate legal framework defines the scope and criteria for subsidies related to residential sound insulation. To assess compliance with these environmental standards and evaluate the appropriateness of the subsidy zones, both continuous monitoring and short-term noise surveys are conducted. In the early stages of short-term surveys, the identification and classification of noise events relied heavily on survey personnel, and post-survey data compilation was performed manually, requiring significant time and effort. Subsequent technological advancements, particularly in hardware, have enabled major labor savings through the automation of sound source identification, unmanned monitoring, and partial automation of data processing. However, these labor-saving measures were implemented on the condition that the accuracy of evaluation results would not be compromised. This report outlines the labor-saving approaches introduced in short-term aircraft noise surveys and discusses the validity and reliability of the resulting evaluation methods.
Takeya et al. (Wed,) studied this question.
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