Python Vegetation示例

示例#1

文件： Veg_CA_Eco_long_flat.py 项目： Fooway/landlab

PD_W = PrecipitationDistribution(mean_storm = data['mean_storm_wet'],  \
                    mean_interstorm = data['mean_interstorm_wet'],
                    mean_storm_depth = data['mean_storm_depth_wet'])
Rad = Radiation( grid )
PET_Tree = PotentialEvapotranspiration( grid1, method = data['PET_method'], \
                    MeanTmaxF = data['MeanTmaxF_tree'],
                    DeltaD = data['DeltaD'] )
PET_Shrub = PotentialEvapotranspiration( grid1, method = data['PET_method'], \
                    MeanTmaxF = data['MeanTmaxF_shrub'],
                    DeltaD = data['DeltaD'] )
PET_Grass = PotentialEvapotranspiration( grid1, method = data['PET_method'], \
                    MeanTmaxF = data['MeanTmaxF_grass'],
                    DeltaD = data['DeltaD'] )

SM = SoilMoisture( grid, data )   # Soil Moisture object
VEG = Vegetation( grid, data )    # Vegetation object
vegca = VegCA( grid1, data )      # Cellular automaton object

##########
n = 6600    # Defining number of storms the model will be run
##########

## Create arrays to store modeled data
P = np.empty(n)    # Record precipitation
Tb = np.empty(n)    # Record inter storm duration
Tr = np.empty(n)    # Record storm duration
Time = np.empty(n) # To record time elapsed from the start of simulation

CumWaterStress = np.empty([n/50, grid1.number_of_cells]) # Cum Water Stress
VegType = np.empty([n/50, grid1.number_of_cells],dtype = int)
PET_ = np.zeros([365,grid.number_of_cells])

示例#2

文件： Veg_CA_Eco_long_DEM.py 项目： Fooway/landlab

PD_W = PrecipitationDistribution(mean_storm = data['mean_storm_wet'],  \
                    mean_interstorm = data['mean_interstorm_wet'],
                    mean_storm_depth = data['mean_storm_depth_wet'])
Rad = Radiation( grid )
Rad_PET = Radiation( grid1 )
PET_Tree = PotentialEvapotranspiration( grid1, method = data['PET_method'], \
                    MeanTmaxF = data['MeanTmaxF_tree'],
                    DeltaD = data['DeltaD'] )
PET_Shrub = PotentialEvapotranspiration( grid1, method = data['PET_method'], \
                    MeanTmaxF = data['MeanTmaxF_shrub'],
                    DeltaD = data['DeltaD'] )
PET_Grass = PotentialEvapotranspiration( grid1, method = data['PET_method'], \
                    MeanTmaxF = data['MeanTmaxF_grass'],
                    DeltaD = data['DeltaD'] )
SM = SoilMoisture( grid, data )   # Soil Moisture object
VEG = Vegetation( grid, data )    # Vegetation object
vegca = VegCA( grid, data )      # Cellular automaton object

##########
n = data['n_long_DEM']   # Defining number of storms the model will be run
##########

## Create arrays to store modeled data
P = np.empty(n)    # Record precipitation
Tb = np.empty(n)    # Record inter storm duration
Tr = np.empty(n)    # Record storm duration
Time = np.empty(n) # To record time elapsed from the start of simulation

CumWaterStress = np.empty([n/55, grid.number_of_cells]) # Cum Water Stress
VegType = np.empty([n/55, grid.number_of_cells],dtype=int)

示例#3

文件： Veg_CA_Eco_short.py 项目： Fooway/landlab

PD_W = PrecipitationDistribution(mean_storm = data['mean_storm_wet'],  \
                    mean_interstorm = data['mean_interstorm_wet'],
                    mean_storm_depth = data['mean_storm_depth_wet'])
Rad = Radiation(grid)
PET_Tree = PotentialEvapotranspiration( grid1, method = data['PET_method'], \
                    MeanTmaxF = data['MeanTmaxF_tree'],
                    DeltaD = data['DeltaD'] )
PET_Shrub = PotentialEvapotranspiration( grid1, method = data['PET_method'], \
                    MeanTmaxF = data['MeanTmaxF_shrub'],
                    DeltaD = data['DeltaD'] )
PET_Grass = PotentialEvapotranspiration( grid1, method = data['PET_method'], \
                    MeanTmaxF = data['MeanTmaxF_grass'],
                    DeltaD = data['DeltaD'] )

SM = SoilMoisture(grid, data)  # Soil Moisture object
VEG = Vegetation(grid, data)  # Vegetation object
vegca = VegCA(grid1, data)  # Cellular automaton object

##########
n = data['n_short']  # Defining number of storms the model will be run
##########

## Create arrays to store modeled data
P = np.empty(n)  # Record precipitation
Tb = np.empty(n)  # Record inter storm duration
Tr = np.empty(n)  # Record storm duration
Time = np.empty(n)  # To record time elapsed from the start of simulation

CumWaterStress = np.empty([n / 50, grid1.number_of_cells])  # Cum Water Stress
CumWS = np.empty([n / 50, grid.number_of_cells
                  ])  # Cum Water Stress of different plant types

示例#4

PD_W = PrecipitationDistribution(mean_storm = data['mean_storm_wet'],  \
                    mean_interstorm = data['mean_interstorm_wet'],
                    mean_storm_depth = data['mean_storm_depth_wet'])
Rad = Radiation(grid)
Rad_PET = Radiation(grid1)
PET_Tree = PotentialEvapotranspiration( grid1, method = data['PET_method'], \
                    MeanTmaxF = data['MeanTmaxF_tree'],
                    DeltaD = data['DeltaD'] )
PET_Shrub = PotentialEvapotranspiration( grid1, method = data['PET_method'], \
                    MeanTmaxF = data['MeanTmaxF_shrub'],
                    DeltaD = data['DeltaD'] )
PET_Grass = PotentialEvapotranspiration( grid1, method = data['PET_method'], \
                    MeanTmaxF = data['MeanTmaxF_grass'],
                    DeltaD = data['DeltaD'] )
SM = SoilMoisture(grid, data)  # Soil Moisture object
VEG = Vegetation(grid, data)  # Vegetation object
vegca = VegCA(grid, data)  # Cellular automaton object

##########
n = data['n_long_DEM']  # Defining number of storms the model will be run
##########

## Create arrays to store modeled data
P = np.empty(n)  # Record precipitation
Tb = np.empty(n)  # Record inter storm duration
Tr = np.empty(n)  # Record storm duration
Time = np.empty(n)  # To record time elapsed from the start of simulation

CumWaterStress = np.empty([n / 55, grid.number_of_cells])  # Cum Water Stress
VegType = np.empty([n / 55, grid.number_of_cells], dtype=int)