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The advanced distributed hydrology-soil-vegetation model DHSVM,developed by Wigmostaet al.(1994)is introduced from US Pacific Northwest National Laboratory.To apply DHSVM inChina for the first time some improvements have been made in terms of the basin characteristics:1)to change evapotranspiration model,using the improved Penman-Monteith approach in place ofthe original one;2)to change the model structure,inserting datasets from 4 stations to grid cellsfor each river basin,instead of datasets from one or two stations;3)to develop new hydrology,vegetation and soil parameterization schemes for improving the simulated results,with focus oncalculation and adjustment of 11 parameters,such as soil porosity (?),field capacity θ_(fc),leaf areaindex LAI,stochastic resistance γ_s,among the total 33 parameters.Then the improved DHSVM isdriven by observed datasets for Luanhe River Basin and Sanggan River Basin,respectively.Thesimulated evapotranspiration(ET),runoff,snow water equivalent,water table,soil moisture andpercolation are then gained as DHSVM outputs.The simulated ET shows that the highest peakappears in May or June instead of July or August.This is consistent with the real situations,owing to the improvement of ET model.The simulated runoff process and flood peak are quiteconsistent with the observed ones.The model efficiency values for Luanhe River and SangganRiver Basins are 0.89 and 0.82,respectively,which shows high simulating ability of the modelsystem for both relatively humid and dry basins.
The advanced distributed hydrology-soil-vegetation model DHSVM, developed by Wigmostaet al. (1994) is introduced from US Pacific Northwest National Laboratory. To apply DHSVM in China for the first time some improvements have been made in terms of the basin characteristics: 1) to change evapotranspiration model, using the improved Penman-Monteith approach in place of the original one; 2) to change the model structure, inserting datasets from 4 stations to grid cells for each river basin, instead of datasets from one or two stations; 3) to develop new hydrology, vegetation and soil parameterization schemes for improving the simulated results, with focus oncalculation and adjustment of 11 parameters, such as soil porosity (?), field capacity θ_ (fc), leaf areaindex LAI, stochastic resistance γ_s, among the total 33 parameters. Teng the improved DHSVM isdriven by observed datasets for Luanhe River Basin and Sanggan River Basin, respectively. Tested evapotranspiration (ET), runoff, snow water equivalent, water t able, soil moisture andpercolation are then gained as DHSVM outputs. The simulated ET shows that the highest peakappears in May or June instead of July or August. This is consistent with the real situations, owing to the improvement of ET model. The simulated runoff process and flood peak are quiteconsistent with the observed ones. The model efficiency values for Luanhe River and Sanggan River Basins are 0.89 and 0.82, respectively, which shows high simulating ability of the modelsystem for both relatively humid and dry basins.