 Year: 0000 Type: MEDLINE Literature: oryza Field: abstract Doc ID: pub00000000 Accession (PMID): 00000000 Matching Sentences: [ Sen. 0, subscore: 0.00 ]: PM emission factors ( EFs ) for gasoline and diesel-fueled vehicles and biomass combustion were measured in several recent studies . In the Gas/Diesel Split Study ( GD-Split ) , PM ( 0 . 0 ) EFs for heavy-duty diesel vehicles ( HDDV ) ranged from 0 . 0 to 0 g/mile and increased with vehicle age . EFs for HDDV estimated with the US EPA MOBILE 0 . 0 and California Air Resources Board ( ARB ) EMFAC0000 models correlated well with measured values . PM ( 0 . 0 ) EFs measured for gasoline vehicles were two orders of magnitude lower than those for HDDV and did not correlate with model estimates . In the Kansas City Study , PM ( 0 . 0 ) EFs for gasoline-powered vehicles ( eg , passenger cars and light trucks ) were generally <0 . 00 g/mile and were higher in winter than summer . EMFAC0000 reported higher PM ( 0 . 0 ) EFs than MOBILE 0 . 0 during winter , but not during summer , and neither model captured the variability of the measured EFs . Total PM EFs for heavy-duty diesel military vehicles ranged from 0 . 00+/-0 . 00 and 0 . 00+/-0 . 00 g/kg fuel , corresponding to 0 . 0 and 0 g/mile , respectively . These values are comparable to those of on-road HDDV . EFs for biomass burning measured during the Fire Laboratory at Missoula Experiment ( FLAME ) were compared with EFs from the ARB Emission Estimation System ( EES ) model . The highest PM ( 0 . 0 ) EFs ( 00 . 0+/-00 . 0 g/kg ) were measured for wet ( >00% moisture content ) Ponderosa Pine needles . EFs were generally <00 g/kg when moisture content was <00% . The EES model agreed with measured EFs for fuels with low moisture content but underestimated measured EFs for fuel with moisture content >00% . Average EFs for dry chamise , rice straw , and dry grass were within a factor of three of values adopted by ARB in Californias San Joaquin Valley ( SJV ) . Discrepancies between measured and modeled emission factors suggest that there may be important uncertainties in current PM ( 0 . 0 ) emission inventories . [ Sen. 0, subscore: 0.00 ]: PM emission factors ( EFs ) for gasoline and diesel-fueled vehicles and biomass combustion were measured in several recent studies . In the Gas/Diesel Split Study ( GD-Split ) , PM ( 0 . 0 ) EFs for heavy-duty diesel vehicles ( HDDV ) ranged from 0 . 0 to 0 g/mile and increased with vehicle age . EFs for HDDV estimated with the US EPA MOBILE 0 . 0 and California Air Resources Board ( ARB ) EMFAC0000 models correlated well with measured values . PM ( 0 . 0 ) EFs measured for gasoline vehicles were two orders of magnitude lower than those for HDDV and did not correlate with model estimates . In the Kansas City Study , PM ( 0 . 0 ) EFs for gasoline-powered vehicles ( eg , passenger cars and light trucks ) were generally <0 . 00 g/mile and were higher in winter than summer . EMFAC0000 reported higher PM ( 0 . 0 ) EFs than MOBILE 0 . 0 during winter , but not during summer , and neither model captured the variability of the measured EFs . Total PM EFs for heavy-duty diesel military vehicles ranged from 0 . 00+/-0 . 00 and 0 . 00+/-0 . 00 g/kg fuel , corresponding to 0 . 0 and 0 g/mile , respectively . These values are comparable to those of on-road HDDV . EFs for biomass burning measured during the Fire Laboratory at Missoula Experiment ( FLAME ) were compared with EFs from the ARB Emission Estimation System ( EES ) model . The highest PM ( 0 . 0 ) EFs ( 00 . 0+/-00 . 0 g/kg ) were measured for wet ( >00% moisture content ) Ponderosa Pine needles . EFs were generally <00 g/kg when moisture content was <00% . The EES model agreed with measured EFs for fuels with low moisture content but underestimated measured EFs for fuel with moisture content >00% . Average EFs for dry chamise , rice straw , and dry grass were within a factor of three of values adopted by ARB in Californias San Joaquin Valley ( SJV ) . Discrepancies between measured and modeled emission factors suggest that there may be important uncertainties in current PM ( 0 . 0 ) emission inventories . [ Sen. 00, subscore: 0.00 ]: EFs for HDDV estimated with the US EPA MOBILE 0 . 0 and California Air Resources Board ( ARB ) EMFAC0000 models correlated well with measured values . PM ( 0 . 0 ) EFs measured for gasoline vehicles were two orders of magnitude lower than those for HDDV and did not correlate with model estimates . In the Kansas City Study , PM ( 0 . 0 ) EFs for gasoline-powered vehicles ( eg , passenger cars and light trucks ) were generally <0 . 00 g/mile and were higher in winter than summer . EMFAC0000 reported higher PM ( 0 . 0 ) EFs than MOBILE 0 . 0 during winter , but not during summer , and neither model captured the variability of the measured EFs . Total PM EFs for heavy-duty diesel military vehicles ranged from 0 . 00+/-0 . 00 and 0 . 00+/-0 . 00 g/kg fuel , corresponding to 0 . 0 and 0 g/mile , respectively . These values are comparable to those of on-road HDDV . EFs for biomass burning measured during the Fire Laboratory at Missoula Experiment ( FLAME ) were compared with EFs from the ARB Emission Estimation System ( EES ) model . The highest PM ( 0 . 0 ) EFs ( 00 . 0+/-00 . 0 g/kg ) were measured for wet ( >00% moisture content ) Ponderosa Pine needles . EFs were generally <00 g/kg when moisture content was <00% . The EES model agreed with measured EFs for fuels with low moisture content but underestimated measured EFs for fuel with moisture content >00% . Average EFs for dry chamise , rice straw , and dry grass were within a factor of three of values adopted by ARB in Californias San Joaquin Valley ( SJV ) . Discrepancies between measured and modeled emission factors suggest that there may be important uncertainties in current PM ( 0 . 0 ) emission inventories . [ Sen. 0, subscore: 0.00 ]: PM emission factors ( EFs ) for gasoline and diesel-fueled vehicles and biomass combustion were measured in several recent studies . In the Gas/Diesel Split Study ( GD-Split ) , PM ( 0 . 0 ) EFs for heavy-duty diesel vehicles ( HDDV ) ranged from 0 . 0 to 0 g/mile and increased with vehicle age . EFs for HDDV estimated with the US EPA MOBILE 0 . 0 and California Air Resources Board ( ARB ) EMFAC0000 models correlated well with measured values . PM ( 0 . 0 ) EFs measured for gasoline vehicles were two orders of magnitude lower than those for HDDV and did not correlate with model estimates . In the Kansas City Study , PM ( 0 . 0 ) EFs for gasoline-powered vehicles ( eg , passenger cars and light trucks ) were generally <0 . 00 g/mile and were higher in winter than summer . EMFAC0000 reported higher PM ( 0 . 0 ) EFs than MOBILE 0 . 0 during winter , but not during summer , and neither model captured the variability of the measured EFs . Total PM EFs for heavy-duty diesel military vehicles ranged from 0 . 00+/-0 . 00 and 0 . 00+/-0 . 00 g/kg fuel , corresponding to 0 . 0 and 0 g/mile , respectively . These values are comparable to those of on-road HDDV . EFs for biomass burning measured during the Fire Laboratory at Missoula Experiment ( FLAME ) were compared with EFs from the ARB Emission Estimation System ( EES ) model . The highest PM ( 0 . 0 ) EFs ( 00 . 0+/-00 . 0 g/kg ) were measured for wet ( >00% moisture content ) Ponderosa Pine needles . [ Sen. 0, subscore: 0.00 ]: PM emission factors ( EFs ) for gasoline and diesel-fueled vehicles and biomass combustion were measured in several recent studies . In the Gas/Diesel Split Study ( GD-Split ) , PM ( 0 . 0 ) EFs for heavy-duty diesel vehicles ( HDDV ) ranged from 0 . 0 to 0 g/mile and increased with vehicle age . EFs for HDDV estimated with the US EPA MOBILE 0 . 0 and California Air Resources Board ( ARB ) EMFAC0000 models correlated well with measured values . PM ( 0 . 0 ) EFs measured for gasoline vehicles were two orders of magnitude lower than those for HDDV and did not correlate with model estimates . In the Kansas City Study , PM ( 0 . 0 ) EFs for gasoline-powered vehicles ( eg , passenger cars and light trucks ) were generally <0 . 00 g/mile and were higher in winter than summer . EMFAC0000 reported higher PM ( 0 . 0 ) EFs than MOBILE 0 . 0 during winter , but not during summer , and neither model captured the variability of the measured EFs . Total PM EFs for heavy-duty diesel military vehicles ranged from 0 . 00+/-0 . 00 and 0 . 00+/-0 . 00 g/kg fuel , corresponding to 0 . 0 and 0 g/mile , respectively . These values are comparable to those of on-road HDDV . EFs for biomass burning measured during the Fire Laboratory at Missoula Experiment ( FLAME ) were compared with EFs from the ARB Emission Estimation System ( EES ) model . The highest PM ( 0 . 0 ) EFs ( 00 . 0+/-00 . 0 g/kg ) were measured for wet ( >00% moisture content ) Ponderosa Pine needles . EFs were generally <00 g/kg when moisture content was <00% . [ Sen. 0, subscore: 0.00 ]: PM emission factors ( EFs ) for gasoline and diesel-fueled vehicles and biomass combustion were measured in several recent studies . In the Gas/Diesel Split Study ( GD-Split ) , PM ( 0 . 0 ) EFs for heavy-duty diesel vehicles ( HDDV ) ranged from 0 . 0 to 0 g/mile and increased with vehicle age . EFs for HDDV estimated with the US EPA MOBILE 0 . 0 and California Air Resources Board ( ARB ) EMFAC0000 models correlated well with measured values . PM ( 0 . 0 ) EFs measured for gasoline vehicles were two orders of magnitude lower than those for HDDV and did not correlate with model estimates . In the Kansas City Study , PM ( 0 . 0 ) EFs for gasoline-powered vehicles ( eg , passenger cars and light trucks ) were generally <0 . 00 g/mile and were higher in winter than summer . EMFAC0000 reported higher PM ( 0 . 0 ) EFs than MOBILE 0 . 0 during winter , but not during summer , and neither model captured the variability of the measured EFs . Total PM EFs for heavy-duty diesel military vehicles ranged from 0 . 00+/-0 . 00 and 0 . 00+/-0 . 00 g/kg fuel , corresponding to 0 . 0 and 0 g/mile , respectively . These values are comparable to those of on-road HDDV . EFs for biomass burning measured during the Fire Laboratory at Missoula Experiment ( FLAME ) were compared with EFs from the ARB Emission Estimation System ( EES ) model . The highest PM ( 0 . 0 ) EFs ( 00 . 0+/-00 . 0 g/kg ) were measured for wet ( >00% moisture content ) Ponderosa Pine needles . EFs were generally <00 g/kg when moisture content was <00% . The EES model agreed with measured EFs for fuels with low moisture content but underestimated measured EFs for fuel with moisture content >00% . [ Sen. 0, subscore: 0.00 ]: PM emission factors ( EFs ) for gasoline and diesel-fueled vehicles and biomass combustion were measured in several recent studies . In the Gas/Diesel Split Study ( GD-Split ) , PM ( 0 . 0 ) EFs for heavy-duty diesel vehicles ( HDDV ) ranged from 0 . 0 to 0 g/mile and increased with vehicle age . EFs for HDDV estimated with the US EPA MOBILE 0 . 0 and California Air Resources Board ( ARB ) EMFAC0000 models correlated well with measured values . PM ( 0 . 0 ) EFs measured for gasoline vehicles were two orders of magnitude lower than those for HDDV and did not correlate with model estimates . In the Kansas City Study , PM ( 0 . 0 ) EFs for gasoline-powered vehicles ( eg , passenger cars and light trucks ) were generally <0 . 00 g/mile and were higher in winter than summer . EMFAC0000 reported higher PM ( 0 . 0 ) EFs than MOBILE 0 . 0 during winter , but not during summer , and neither model captured the variability of the measured EFs . Total PM EFs for heavy-duty diesel military vehicles ranged from 0 . 00+/-0 . 00 and 0 . 00+/-0 . 00 g/kg fuel , corresponding to 0 . 0 and 0 g/mile , respectively . These values are comparable to those of on-road HDDV . EFs for biomass burning measured during the Fire Laboratory at Missoula Experiment ( FLAME ) were compared with EFs from the ARB Emission Estimation System ( EES ) model . The highest PM ( 0 . 0 ) EFs ( 00 . 0+/-00 . 0 g/kg ) were measured for wet ( >00% moisture content ) Ponderosa Pine needles . EFs were generally <00 g/kg when moisture content was <00% . The EES model agreed with measured EFs for fuels with low moisture content but underestimated measured EFs for fuel with moisture content >00% . Average EFs for dry chamise , rice straw , and dry grass were within a factor of three of values adopted by ARB in Californias San Joaquin Valley ( SJV ) . [ Sen. 0, subscore: 0.00 ]: PM emission factors ( EFs ) for gasoline and diesel-fueled vehicles and biomass combustion were measured in several recent studies . In the Gas/Diesel Split Study ( GD-Split ) , PM ( 0 . 0 ) EFs for heavy-duty diesel vehicles ( HDDV ) ranged from 0 . 0 to 0 g/mile and increased with vehicle age . EFs for HDDV estimated with the US EPA MOBILE 0 . 0 and California Air Resources Board ( ARB ) EMFAC0000 models correlated well with measured values . PM ( 0 . 0 ) EFs measured for gasoline vehicles were two orders of magnitude lower than those for HDDV and did not correlate with model estimates . In the Kansas City Study , PM ( 0 . 0 ) EFs for gasoline-powered vehicles ( eg , passenger cars and light trucks ) were generally <0 . 00 g/mile and were higher in winter than summer . EMFAC0000 reported higher PM ( 0 . 0 ) EFs than MOBILE 0 . 0 during winter , but not during summer , and neither model captured the variability of the measured EFs . Total PM EFs for heavy-duty diesel military vehicles ranged from 0 . 00+/-0 . 00 and 0 . 00+/-0 . 00 g/kg fuel , corresponding to 0 . 0 and 0 g/mile , respectively . These values are comparable to those of on-road HDDV . EFs for biomass burning measured during the Fire Laboratory at Missoula Experiment ( FLAME ) were compared with EFs from the ARB Emission Estimation System ( EES ) model . The highest PM ( 0 . 0 ) EFs ( 00 . 0+/-00 . 0 g/kg ) were measured for wet ( >00% moisture content ) Ponderosa Pine needles . EFs were generally <00 g/kg when moisture content was <00% . The EES model agreed with measured EFs for fuels with low moisture content but underestimated measured EFs for fuel with moisture content >00% . Average EFs for dry chamise , rice straw , and dry grass were within a factor of three of values adopted by ARB in Californias San Joaquin Valley ( SJV ) . Discrepancies between measured and modeled emission factors suggest that there may be important uncertainties in current PM ( 0 . 0 ) emission inventories . [ Sen. 0, subscore: 0.00 ]: PM emission factors ( EFs ) for gasoline and diesel-fueled vehicles and biomass combustion were measured in several recent studies . In the Gas/Diesel Split Study ( GD-Split ) , PM ( 0 . 0 ) EFs for heavy-duty diesel vehicles ( HDDV ) ranged from 0 . 0 to 0 g/mile and increased with vehicle age . EFs for HDDV estimated with the US EPA MOBILE 0 . 0 and California Air Resources Board ( ARB ) EMFAC0000 models correlated well with measured values . PM ( 0 . 0 ) EFs measured for gasoline vehicles were two orders of magnitude lower than those for HDDV and did not correlate with model estimates . In the Kansas City Study , PM ( 0 . 0 ) EFs for gasoline-powered vehicles ( eg , passenger cars and light trucks ) were generally <0 . 00 g/mile and were higher in winter than summer . EMFAC0000 reported higher PM ( 0 . 0 ) EFs than MOBILE 0 . 0 during winter , but not during summer , and neither model captured the variability of the measured EFs . Total PM EFs for heavy-duty diesel military vehicles ranged from 0 . 00+/-0 . 00 and 0 . 00+/-0 . 00 g/kg fuel , corresponding to 0 . 0 and 0 g/mile , respectively . These values are comparable to those of on-road HDDV . EFs for biomass burning measured during the Fire Laboratory at Missoula Experiment ( FLAME ) were compared with EFs from the ARB Emission Estimation System ( EES ) model . The highest PM ( 0 . 0 ) EFs ( 00 . 0+/-00 . 0 g/kg ) were measured for wet ( >00% moisture content ) Ponderosa Pine needles . EFs were generally <00 g/kg when moisture content was <00% . The EES model agreed with measured EFs for fuels with low moisture content but underestimated measured EFs for fuel with moisture content >00% . Average EFs for dry chamise , rice straw , and dry grass were within a factor of three of values adopted by ARB in Californias San Joaquin Valley ( SJV ) . Discrepancies between measured and modeled emission factors suggest that there may be important uncertainties in current PM ( 0 . 0 ) emission inventories . [ Sen. 00, subscore: 0.00 ]: PM emission factors ( EFs ) for gasoline and diesel-fueled vehicles and biomass combustion were measured in several recent studies . In the Gas/Diesel Split Study ( GD-Split ) , PM ( 0 . 0 ) EFs for heavy-duty diesel vehicles ( HDDV ) ranged from 0 . 0 to 0 g/mile and increased with vehicle age . EFs for HDDV estimated with the US EPA MOBILE 0 . 0 and California Air Resources Board ( ARB ) EMFAC0000 models correlated well with measured values . PM ( 0 . 0 ) EFs measured for gasoline vehicles were two orders of magnitude lower than those for HDDV and did not correlate with model estimates . In the Kansas City Study , PM ( 0 . 0 ) EFs for gasoline-powered vehicles ( eg , passenger cars and light trucks ) were generally <0 . 00 g/mile and were higher in winter than summer . EMFAC0000 reported higher PM ( 0 . 0 ) EFs than MOBILE 0 . 0 during winter , but not during summer , and neither model captured the variability of the measured EFs . Total PM EFs for heavy-duty diesel military vehicles ranged from 0 . 00+/-0 . 00 and 0 . 00+/-0 . 00 g/kg fuel , corresponding to 0 . 0 and 0 g/mile , respectively . These values are comparable to those of on-road HDDV . EFs for biomass burning measured during the Fire Laboratory at Missoula Experiment ( FLAME ) were compared with EFs from the ARB Emission Estimation System ( EES ) model . The highest PM ( 0 . 0 ) EFs ( 00 . 0+/-00 . 0 g/kg ) were measured for wet ( >00% moisture content ) Ponderosa Pine needles . EFs were generally <00 g/kg when moisture content was <00% . The EES model agreed with measured EFs for fuels with low moisture content but underestimated measured EFs for fuel with moisture content >00% . Average EFs for dry chamise , rice straw , and dry grass were within a factor of three of values adopted by ARB in Californias San Joaquin Valley ( SJV ) . Discrepancies between measured and modeled emission factors suggest that there may be important uncertainties in current PM ( 0 . 0 ) emission inventories . [ Sen. 00, subscore: 0.00 ]: In the Gas/Diesel Split Study ( GD-Split ) , PM ( 0 . 0 ) EFs for heavy-duty diesel vehicles ( HDDV ) ranged from 0 . 0 to 0 g/mile and increased with vehicle age . EFs for HDDV estimated with the US EPA MOBILE 0 . 0 and California Air Resources Board ( ARB ) EMFAC0000 models correlated well with measured values . PM ( 0 . 0 ) EFs measured for gasoline vehicles were two orders of magnitude lower than those for HDDV and did not correlate with model estimates . In the Kansas City Study , PM ( 0 . 0 ) EFs for gasoline-powered vehicles ( eg , passenger cars and light trucks ) were generally <0 . 00 g/mile and were higher in winter than summer . EMFAC0000 reported higher PM ( 0 . 0 ) EFs than MOBILE 0 . 0 during winter , but not during summer , and neither model captured the variability of the measured EFs . Total PM EFs for heavy-duty diesel military vehicles ranged from 0 . 00+/-0 . 00 and 0 . 00+/-0 . 00 g/kg fuel , corresponding to 0 . 0 and 0 g/mile , respectively . These values are comparable to those of on-road HDDV . EFs for biomass burning measured during the Fire Laboratory at Missoula Experiment ( FLAME ) were compared with EFs from the ARB Emission Estimation System ( EES ) model . The highest PM ( 0 . 0 ) EFs ( 00 . 0+/-00 . 0 g/kg ) were measured for wet ( >00% moisture content ) Ponderosa Pine needles . EFs were generally <00 g/kg when moisture content was <00% . The EES model agreed with measured EFs for fuels with low moisture content but underestimated measured EFs for fuel with moisture content >00% . Average EFs for dry chamise , rice straw , and dry grass were within a factor of three of values adopted by ARB in Californias San Joaquin Valley ( SJV ) . Discrepancies between measured and modeled emission factors suggest that there may be important uncertainties in current PM ( 0 . 0 ) emission inventories . [ Sen. 00, subscore: 0.00 ]: PM ( 0 . 0 ) EFs measured for gasoline vehicles were two orders of magnitude lower than those for HDDV and did not correlate with model estimates . In the Kansas City Study , PM ( 0 . 0 ) EFs for gasoline-powered vehicles ( eg , passenger cars and light trucks ) were generally <0 . 00 g/mile and were higher in winter than summer . EMFAC0000 reported higher PM ( 0 . 0 ) EFs than MOBILE 0 . 0 during winter , but not during summer , and neither model captured the variability of the measured EFs . Total PM EFs for heavy-duty diesel military vehicles ranged from 0 . 00+/-0 . 00 and 0 . 00+/-0 . 00 g/kg fuel , corresponding to 0 . 0 and 0 g/mile , respectively . These values are comparable to those of on-road HDDV . EFs for biomass burning measured during the Fire Laboratory at Missoula Experiment ( FLAME ) were compared with EFs from the ARB Emission Estimation System ( EES ) model . The highest PM ( 0 . 0 ) EFs ( 00 . 0+/-00 . 0 g/kg ) were measured for wet ( >00% moisture content ) Ponderosa Pine needles . EFs were generally <00 g/kg when moisture content was <00% . The EES model agreed with measured EFs for fuels with low moisture content but underestimated measured EFs for fuel with moisture content >00% . Average EFs for dry chamise , rice straw , and dry grass were within a factor of three of values adopted by ARB in Californias San Joaquin Valley ( SJV ) . Discrepancies between measured and modeled emission factors suggest that there may be important uncertainties in current PM ( 0 . 0 ) emission inventories . Supplemental links/files: reference in endnote online text related articles pubmed citation Score: 00.00 Author: 