Toepassingen van de EDGAR emissies database voor mondiaal atmosferish onderzoek

Verschenen met RIVM EN NOP nummer!Abstract niet beschikbaarEDGAR 2.0 (Emission Database for Global Atmospheric Research) provided global annual emissions for 1990 of greenhouse gases CO2, CH4 and N2O and precursor gases CO, NOx, NMVOC and SO2 both per region and on a 1 degrees x 1degrees grid. Similar inventories were compiled for a number of CFCs, halons and methyl bromide, methyl chloroform. This report discusses the applications of EDGAR 2.0 over the last couple of years as well as the validation and uncertainty analysis carried out. About 700 users have downloaded EDGAR 2.0 data during the last 24 year. In addition, the approach taken to compile EDGAR 3.0 is discussed: update and extension from 1990 to 1995 for all gases and extended time series for direct greenhouse gases to 1970-1995 and inclusion of the new 'Kyoto' greenhouse gases HFCs, PFCs, SF6. Selected time profiles for the seasonality of anthropogenic sources are also discussed. The work is linked into and part of the Global Emissions Inventory Activity (GEIA) of IGBP/IGAC.SG-NO

Toepassingen van de EDGAR emissies database voor mondiaal atmosferish onderzoek

EDGAR 2.0 (Emission Database for Global Atmospheric Research) provided global annual emissions for 1990 of greenhouse gases CO2, CH4 and N2O and precursor gases CO, NOx, NMVOC and SO2 both per region and on a 1 degrees x 1degrees grid. Similar inventories were compiled for a number of CFCs, halons and methyl bromide, methyl chloroform. This report discusses the applications of EDGAR 2.0 over the last couple of years as well as the validation and uncertainty analysis carried out. About 700 users have downloaded EDGAR 2.0 data during the last 24 year. In addition, the approach taken to compile EDGAR 3.0 is discussed: update and extension from 1990 to 1995 for all gases and extended time series for direct greenhouse gases to 1970-1995 and inclusion of the new 'Kyoto' greenhouse gases HFCs, PFCs, SF6. Selected time profiles for the seasonality of anthropogenic sources are also discussed. The work is linked into and part of the Global Emissions Inventory Activity (GEIA) of IGBP/IGAC

Toepassingen van de EDGAR emissies database voor mondiaal atmosferish onderzoek

Verschenen met RIVM EN NOP nummer!Abstract niet beschikbaarEDGAR 2.0 (Emission Database for Global Atmospheric Research) provided global annual emissions for 1990 of greenhouse gases CO2, CH4 and N2O and precursor gases CO, NOx, NMVOC and SO2 both per region and on a 1 degrees x 1degrees grid. Similar inventories were compiled for a number of CFCs, halons and methyl bromide, methyl chloroform. This report discusses the applications of EDGAR 2.0 over the last couple of years as well as the validation and uncertainty analysis carried out. About 700 users have downloaded EDGAR 2.0 data during the last 24 year. In addition, the approach taken to compile EDGAR 3.0 is discussed: update and extension from 1990 to 1995 for all gases and extended time series for direct greenhouse gases to 1970-1995 and inclusion of the new 'Kyoto' greenhouse gases HFCs, PFCs, SF6. Selected time profiles for the seasonality of anthropogenic sources are also discussed. The work is linked into and part of the Global Emissions Inventory Activity (GEIA) of IGBP/IGAC.SG-NO

Toepassingen van de EDGAR emissies database voor mondiaal atmosferish onderzoek

EDGAR 2.0 (Emission Database for Global Atmospheric Research) provided global annual emissions for 1990 of greenhouse gases CO2, CH4 and N2O and precursor gases CO, NOx, NMVOC and SO2 both per region and on a 1 degrees x 1degrees grid. Similar inventories were compiled for a number of CFCs, halons and methyl bromide, methyl chloroform. This report discusses the applications of EDGAR 2.0 over the last couple of years as well as the validation and uncertainty analysis carried out. About 700 users have downloaded EDGAR 2.0 data during the last 24 year. In addition, the approach taken to compile EDGAR 3.0 is discussed: update and extension from 1990 to 1995 for all gases and extended time series for direct greenhouse gases to 1970-1995 and inclusion of the new 'Kyoto' greenhouse gases HFCs, PFCs, SF6. Selected time profiles for the seasonality of anthropogenic sources are also discussed. The work is linked into and part of the Global Emissions Inventory Activity (GEIA) of IGBP/IGAC

The relationship between thyrotropin and low density lipoprotein cholesterol is modified by insulin sensitivity in healthy euthyroid subjects

High levels of TSH are associated with an increased cardiovascular risk. Many cardiovascular risk factors cluster within the insulin resistance syndrome. It is not known whether levels of TSH cluster as well. We conducted this research to test the hypothesis that TSH, insulin sensitivity, and levels of low density lipoprotein cholesterol (LDL-C) and high density lipoprotein cholesterol (HDL-C) are interdependent in euthyroid subjects. Levels of TSH, free thyroid hormone, and serum Lipids were measured in fasting serum samples taken before performance of a hyperinsulinemic euglycemic clamp to assess insulin sensitivity in 46 healthy euthyroid subjects with a mean TSH of 1.8 +- 0.7 mU/L. Significant age- and sex-adjusted partial correlations of TSH with LDL-C (r = 0.48; P <0.01) and HDL-C (r = -0.36; P <0.05) were observed. TSH was not significantly correlated with insulin sensitivity or fasting triglyceride concentrations. In line with these results, we found the associations of TSH with LDL-C and HDL-C to be independent of insulin sensitivity. However, we observed significant effect-modification of the association of TSH with LDL-C by insulin sensitivity (P = 0.02). This effect-modification implies a range of associations of TSH with LDL-C that varies from absent in insulin-sensitive subjects to strongly positive in insulin-resistant subjects. We conclude that the increased cardiovascular risk associated with subclinical hypothyroidism seems to extend itself into the normal range of thyroid function. Importantly, the effect-modification of the association of TSH with LDL-C by insulin sensitivity suggests that insulin-resistant subjects are most susceptible to this increased risk

The relationship between thyrotropin and low density lipoprotein cholesterol is modified by insulin sensitivity in healthy euthyroid subjects

High levels of TSH are associated with an increased cardiovascular risk. Many cardiovascular risk factors cluster within the insulin resistance syndrome. It is not known whether levels of TSH cluster as well. We conducted this research to test the hypothesis that TSH, insulin sensitivity, and levels of low density lipoprotein cholesterol (LDL-C) and high density lipoprotein cholesterol (HDL-C) are interdependent in euthyroid subjects. Levels of TSH, free thyroid hormone, and serum Lipids were measured in fasting serum samples taken before performance of a hyperinsulinemic euglycemic clamp to assess insulin sensitivity in 46 healthy euthyroid subjects with a mean TSH of 1.8 +- 0.7 mU/L. Significant age- and sex-adjusted partial correlations of TSH with LDL-C (r = 0.48; P <0.01) and HDL-C (r = -0.36; P <0.05) were observed. TSH was not significantly correlated with insulin sensitivity or fasting triglyceride concentrations. In line with these results, we found the associations of TSH with LDL-C and HDL-C to be independent of insulin sensitivity. However, we observed significant effect-modification of the association of TSH with LDL-C by insulin sensitivity (P = 0.02). This effect-modification implies a range of associations of TSH with LDL-C that varies from absent in insulin-sensitive subjects to strongly positive in insulin-resistant subjects. We conclude that the increased cardiovascular risk associated with subclinical hypothyroidism seems to extend itself into the normal range of thyroid function. Importantly, the effect-modification of the association of TSH with LDL-C by insulin sensitivity suggests that insulin-resistant subjects are most susceptible to this increased risk