An　interval　programming　optimization　model　was　formulated　to　develop　effective　and　feasible　regional　economic　structure　adjustment　plan　using　Tangshan　Municipality　in　China　as　a　case　study.　The　optimization　model　was　coupled　with　a　WRF-CAMx-PSAT　air　quality　simulation　system　through　the　estimated　industrial　emission　sensitivity　coefficients　and　equivalent　coefficients　for　PM2.5　concentrations.　Seven　categories　of　industries　were　examined,　and　the　results　indicated　that　industries　with　higher　emission　sensitivity　coefficients　should　be　given　priority　for　control.　The　effectiveness　of　the　obtained　optimal　schemes　was　further　assessed　by　the　air　quality　simulation　system.　It　indicated　that　PM2.5　concentrations　in　Tangshan　would　decrease　by　[33.5%,　39.3%]　than　those　in　2013.　This　study　provided　an　effective　method　framework　for　industries　to　maximize　profits　while　meeting　certain　air　quality　constraints　under　uncertainty　through　the　coupling　of　air　quality　simulation　and　optimization　models.