Abstract
The aim of this work is to examine noise impacts at long range from a variety of blast and explosion testing. This work forms part of an ongoing collaborative research project on blast noise supported by DNV and carried out at their Spadeadam Testing & Research site in the UK. The site carries out full-scale major hazards research to support safety concerns associated with industry decarbonization sectors and protect people and property from accidental and intentional threats. The diversity and novelty of blast testing involve a variety of source characteristics that need to be understood to make predictions of long-range environmental noise at off-site residential and recreational locations. Range-dependent ground impedance and complex topography surround the site, and local meteorological features are difficult to predict in advance of testing, leading to difficulties in making long-range sound predictions via computational methods. Presented here is a data-driven heuristic method developed upon a database of off-site noise measurements and meteorological data. It is concluded that meteorological forecasts can be used to make useful predictions of noise from a variety ofblast testing at long-range receivers. It is proposed that further measurements at additional receptor points are made to improve the performance of the model.
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