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  <controlfield tag="008">260224s        xxu                      </controlfield>
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    <subfield code="a">CD I249 1 0013788</subfield>
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    <subfield code="a">Riezebos, H.J.</subfield>
    <subfield code="9">22546</subfield>
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    <subfield code="a">International Gas Union, IGU</subfield>
    <subfield code="9">13105</subfield>
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  <datafield tag="111" ind1="2" ind2=" ">
    <subfield code="a">World Gas Conference (22nd. : 2003 jun 1-5 : Tokyo)</subfield>
    <subfield code="9">22029</subfield>
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    <subfield code="a">Development of a model to predict the noise emission of gas stations in the netherlands</subfield>
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    <subfield code="a">12/09/06 ; 22/07/2003</subfield>
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    <subfield code="a">13 p.</subfield>
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    <subfield code="a">Disponible en CD en formato PDF</subfield>
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    <subfield code="a">Transcripci&#xF3;n del abstract original del autor: This paper describes the ongoing development of a noise emission model for gas reduction and gas delivery stations. Gas stations are subject to a number of legislatory obligations. Noise emission is an important aspect of these demands. In the past there was no overall check on whether Gastransport Services as a prudent operator was fulfilling these demands. Rather in case of complaints a sound measurement at a particular station was issued to check whether the noise emission was within the legislatory boundaries and -if necessary- the required actions were taken to lower the noise emission. Recently - based on international environmental agreements- it was issued that an overall check on environmental noise problems should take place in order to have fixed them by the year 2010 at the latest. In order to know whether on more than 750 of these stations in the Netherlands these obligations are fulfilled - instead of costly measurement activities at each location- a model has been developed to predict the noise emission. In order to be useful the model has to have enough discriminating power to assign delivery stations into the categories "no problem" and "problem". The details of the model and its discriminating behavior are described in this paper.</subfield>
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    <subfield code="c">CD I249 1 0013788</subfield>
    <subfield code="d">2026-03-04</subfield>
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