
doi: 10.1121/1.385569
Community noise temporal sampling requirements in general, and in the vicinity of airports or other large noise producers in particular, are not well understood. Frequently, the purpose is to sample and estimate the true yearly Day/Night Average Sound Level (DNL) or Community Noise Equivalent Level (CNEL). This being the case, it is important to note that day-to-day samples are not independent, but, in fact, the time series formed by these day-to-day samples exhibits an autocorrelated structure. For this reason, sampling requirements are 4 to 8 times larger than are calculated by assuming purely random day-to-day data. Moreover, the data may exhibit weekly and yearly deterministic trends. As a result of those factors, the analysis herein shows that sampling requirements sufficient to achieve a precision of +2 to −3 dB of the true yearly CNEL or DNL value with a 95% confidence level can be summarized as 14 days of totally random sampling throughout the year, or 3–4 weeks of quasi-random sampling taken one week at a time, or at least 30 days of totally continuous sampling.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
