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Monthly stream water calcium and Gran alkalinity concentration data from 11 sub-catchments of the Nether Beck in the English Lake District have been used to appraise the transferability of the Scottish, River Dee-based G-BASH model. Readily available riparian zone geochemistry and flow paths were used initially to predict minimum and mean stream water concentrations at the Nether Beck, based on calibration equations from the River Dee catchment data. Predicted values significantly exceeded observed values. Differences in runoff between the two areas, leading to a dilution effect in the Nether Beck, explained most of the difference between observed and predicted values. Greater acid deposition in the Lake District also reduced stream water Gran alkalinity concentrations in that area. If regional differences in precipitation, evapotranspiration and pollutant deposition are incorporated into the model, it may then be used reliably to predict catchment susceptibility to acidification over a wide regional (national) scale.  相似文献   
2.
In this present paper, statistical screening and optimization of jackfruit seed powder based medium components were investigated for pullulan production from Aureobasidium pullulans. Seven medium variables jackfruit seed powder, K2HPO4, yeast extract, (NH4)2SO4, NaCl, MgSO4·7H2O and ZnSO4·7H2O were screened by employing Plackett–Burman (PB) method. PB method showed jackfruit seed powder, ZnSO4·7H2O, K2HPO4 and yeast extract were significant. Central composite design of response surface method applied to optimize the significant variables identified from the PB experiment. Statistical analysis of the experimental results showed optimal values were found to be jackfruit seed powder 2 % (w/v), K2HPO4 0.55 % (w/v), yeast extract 0.30 % (w/v) and ZnSO4·7H2O 0.006 % (w/v) with maximum pullulan concentration of 18.76 (g/L). Maximum pullulan concentration of 17.95 (g/L) was observed in the validation experiment. This experimental result explained the model was fitted 96 % as compare with the result predicted by response surface method.  相似文献   
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