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 |