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<br />,,; <br /> <br /> <br /> <br />;r,{'~T <br />VVvr <br /> <br />Division: Air Pollution Control Division <br />James H. Lents, Director <br /> <br />C. STATE-OF-THE-ART TECHNICAL SUFPORT <br /> <br />On both areas of Emission sources, Mobile and stationary, the state-of-the-art for deter-1u1ng actual e.tBsion levels has been well outlined. <br />In both areas, however, the final impact of the sources is their impact on the air quality itself. 'JVo basic precesses allow for detera1n1ag <br />the cause and effect relationship J;:hat is necessary for accomplishing the alss1Q1l of the state's air pollution' control prograa. JtJai'toriDg of <br />the actual ambient air quality and providing IllOdela that relate emission inputs to ambient air quality are wo necessary too1s. <br /> <br />The state-of-the-art in monitoring consists of utilizing a variety of aabient air aonitorina tl!cbni<<(ues to provide reliable air quality data. <br />Conceptually the same 'as the testing done at the aource, whether it is 1n the forti of a tailpipe eats.lon teat, a source test, or continuous <br />emissions monitoring, the a_blent testing .easures the end product after considerable dilution has occurred. Laboratory-type 1ustrwlents, <br />modified to specifically analyze those pollutants of interest, are operated in selected locations to provide data on -the quality of the gaseous <br />components of the air.. A large network of mechau1c:al f1'iter type sasaplera, kuown as hi-voluae air sa.plers, collect the so11d or particulate <br />matter in the atmosphere which is later analyzed in a laboratory for the total JlliUia aud chemical composition. '!his inforaat:lon provides the <br />key link to determining the overall, long-term effectiveness of control prograas for both stationary and mobile sources. <br /> <br />For those situations where the ambient air impact cannot be aeasured, such as when au ea1salon source is being planned or a control strategy is <br />being proposed, a projected .impact must be provided. 'Ibis projection provides the planning tool to decide 1:f controls wIll. be adequate to. meet <br />air quality goals. This modeling effort can eDlploy sophisticated cOIIputer prograillS using complex aatheaatical relationships o.r _y be a <br />statistacal evaluation of existing air quality data. 'l'be modeling activities work hand in hand with .onltoring to provide a projecting of <br />inpu~s where actual air quality data Is not avaIlable. <br /> <br />-36- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br /> <br />- <br />