Digital maps of soil properties are now widely available.End-users now can access several digital soil mapping(DSM)products of soil properties,produced using different models,calibration/training data,and covariates a...Digital maps of soil properties are now widely available.End-users now can access several digital soil mapping(DSM)products of soil properties,produced using different models,calibration/training data,and covariates at various spatial scales from global to local.Therefore,there is an urgent need to provide easy-to-understand tools to communicate map uncertainty and help end-users assess the reliability of DSM products for use at local scales.In this study,we used a large amount of hand-feel soil texture(HFST)data to assess the performance of various published DSM products on the prediction of soil particle size distribution in Central France.We tested four DSM products for soil texture prediction developed at various scales(global,continental,national,and regional)by comparing their predictions with approximately 3200 HFST observations realized on a 1:50000 soil survey conducted after release of these DSM products.We used both visual comparisons and quantitative indicators to match the DSM predictions and HFST observations.The comparison between the low-cost HFST observations and DSM predictions clearly showed the applicability of various DSM products,with the prediction accuracy increasing from global to regional predictions.This simple evaluation can determine which products can be used at the local scale and if more accurate DSM products are required.展开更多
The purpose of this study is to select an appropriate commercial neutral cellulase enzyme for denim garments bio-polishing to achieve specific industrial goals. A full factorial experimental design was used to evaluat...The purpose of this study is to select an appropriate commercial neutral cellulase enzyme for denim garments bio-polishing to achieve specific industrial goals. A full factorial experimental design was used to evaluate the effect of factors considered in the optimization of the bio-polishing process (fabric ID: x1, treatment time: x2, treatment temperature: x3, enzyme concentration: x4, storage time: x5, inactivation step: x6 and enzyme type: x7). Experiments were conducted using laboratory washing machine. Subjective evaluation was performed at a pilot and at an industrial scale. Tear, tensile strength and subjective evaluation concerning hand feel, fabric color, indigo dye pocket back staining and fuzziness extent were evaluated. Results showed that x6 and x7 had significant effects on the fabric tear and tensile strength loss. In the optimization, the great dependence between observed and predicted tear strength and tensile strength loss, the correlation coefficient of the models (R<sup>2</sup> > 0.85) and the important value of F-ratio proved the validity of the models. Results showed that denim leg panels treated with the enzyme Lava-Cell NSZ presented a minimum loss of tear and tensile strength. A low-temperature and time enzymatic bio-polishing process was developed at industrial scale.展开更多
文摘Digital maps of soil properties are now widely available.End-users now can access several digital soil mapping(DSM)products of soil properties,produced using different models,calibration/training data,and covariates at various spatial scales from global to local.Therefore,there is an urgent need to provide easy-to-understand tools to communicate map uncertainty and help end-users assess the reliability of DSM products for use at local scales.In this study,we used a large amount of hand-feel soil texture(HFST)data to assess the performance of various published DSM products on the prediction of soil particle size distribution in Central France.We tested four DSM products for soil texture prediction developed at various scales(global,continental,national,and regional)by comparing their predictions with approximately 3200 HFST observations realized on a 1:50000 soil survey conducted after release of these DSM products.We used both visual comparisons and quantitative indicators to match the DSM predictions and HFST observations.The comparison between the low-cost HFST observations and DSM predictions clearly showed the applicability of various DSM products,with the prediction accuracy increasing from global to regional predictions.This simple evaluation can determine which products can be used at the local scale and if more accurate DSM products are required.
文摘The purpose of this study is to select an appropriate commercial neutral cellulase enzyme for denim garments bio-polishing to achieve specific industrial goals. A full factorial experimental design was used to evaluate the effect of factors considered in the optimization of the bio-polishing process (fabric ID: x1, treatment time: x2, treatment temperature: x3, enzyme concentration: x4, storage time: x5, inactivation step: x6 and enzyme type: x7). Experiments were conducted using laboratory washing machine. Subjective evaluation was performed at a pilot and at an industrial scale. Tear, tensile strength and subjective evaluation concerning hand feel, fabric color, indigo dye pocket back staining and fuzziness extent were evaluated. Results showed that x6 and x7 had significant effects on the fabric tear and tensile strength loss. In the optimization, the great dependence between observed and predicted tear strength and tensile strength loss, the correlation coefficient of the models (R<sup>2</sup> > 0.85) and the important value of F-ratio proved the validity of the models. Results showed that denim leg panels treated with the enzyme Lava-Cell NSZ presented a minimum loss of tear and tensile strength. A low-temperature and time enzymatic bio-polishing process was developed at industrial scale.
