Classes | |
class | GW_1D |
class | GW_2D_yz |
class | GW_2D_xy |
Variables | |
tuple | dataset = gdal.Open('/home/tomer/south_gundal/geospatial_data/watershed_500.tif',GA_ReadOnly) |
horizontal 2d grounwater model ############## read the watershed in tiff format | |
tuple | watershed = dataset.GetRasterBand(1) |
tuple | GT = dataset.GetGeoTransform() |
string | fname = '/home/tomer/south_gundal/gw_level.xls' |
tuple | xls_file = xlsread(fname) |
tuple | sample_id = sample(xrange(23908), 500) |
tuple | gw_x = xls_file.get_cells('A1:A23908', 'dec2009') |
tuple | gw_y = xls_file.get_cells('B1:B23908', 'dec2009') |
tuple | gw_ini = xls_file.get_cells('E1:E23908', 'dec2009') |
tuple | rbfi = Rbf(gw_x, gw_y, gw_ini, function='linear') |
tuple | xi |
tuple | yi |
tuple | hini = rbfi(XI, YI) |
int | dt = 1 |
int | D = 20 |
int | dx = 500 |
int | hmin = 500 |
float | F = 0.999 |
list | outlet = [[5],[43,44,45,46]] |
tuple | foo = GW_2D_xy(watershed, hini, D, dt, dx, hmin, F, outlet) |
hill slope groundwater modelling ###################### | |
tuple | R = np.random.rand(100) |
lumped (1D) model ##################3 forcing | |
int | G = 10 |
float | r = 0.1 |
int | h_ini = 10 |
tuple | h_obs = np.random.rand(101) |
list | lam = [0.00008, 0.00009, 0.0001, 0.0002] |
list | sy = [0.001, 0.001, 0.001, 0.001] |
list | lam_lim = [[0.2, 0.3, 0.4, 0.5], [0.3, 0.4, 0.5, 0.6]] |
list | sy_lim = [[0.2, 0.3, 0.4, 0.5], [0.3, 0.4, 0.5, 0.6]] |
list | r_lim = [0.2,0.3] |
list | hmin_lim = [2,5] |
int | ens = 10 |
int | t = 10 |
int ambhas::gw::D = 20 |
tuple ambhas::gw::dataset = gdal.Open('/home/tomer/south_gundal/geospatial_data/watershed_500.tif',GA_ReadOnly) |
int ambhas::gw::dt = 1 |
int ambhas::gw::dx = 500 |
int ambhas::gw::ens = 10 |
float ambhas::gw::F = 0.999 |
string ambhas::gw::fname = '/home/tomer/south_gundal/gw_level.xls' |
int ambhas::gw::G = 10 |
tuple ambhas::gw::GT = dataset.GetGeoTransform() |
tuple ambhas::gw::gw_ini = xls_file.get_cells('E1:E23908', 'dec2009') |
tuple ambhas::gw::gw_x = xls_file.get_cells('A1:A23908', 'dec2009') |
tuple ambhas::gw::gw_y = xls_file.get_cells('B1:B23908', 'dec2009') |
int ambhas::gw::h_ini = 10 |
tuple ambhas::gw::h_obs = np.random.rand(101) |
list ambhas::gw::hini = rbfi(XI, YI) |
int ambhas::gw::hmin = 500 |
list ambhas::gw::hmin_lim = [2,5] |
list ambhas::gw::lam = [0.00008, 0.00009, 0.0001, 0.0002] |
list ambhas::gw::lam_lim = [[0.2, 0.3, 0.4, 0.5], [0.3, 0.4, 0.5, 0.6]] |
list ambhas::gw::outlet = [[5],[43,44,45,46]] |
tuple ambhas::gw::R = np.random.rand(100) |
float ambhas::gw::r = 0.1 |
list ambhas::gw::r_lim = [0.2,0.3] |
tuple ambhas::gw::rbfi = Rbf(gw_x, gw_y, gw_ini, function='linear') |
tuple ambhas::gw::sample_id = sample(xrange(23908), 500) |
list ambhas::gw::sy = [0.001, 0.001, 0.001, 0.001] |
list ambhas::gw::sy_lim = [[0.2, 0.3, 0.4, 0.5], [0.3, 0.4, 0.5, 0.6]] |
int ambhas::gw::t = 10 |
tuple ambhas::gw::watershed = dataset.GetRasterBand(1) |
tuple ambhas::gw::xi |
tuple ambhas::gw::xls_file = xlsread(fname) |
tuple ambhas::gw::yi |