def test_vector_b_two_donors(self): analysis = QmedAnalysis(self.catchment, CatchmentCollections(self.db_session), year=2000) donors = analysis.find_donor_catchments()[0:2] # 17001, 10001 # [0.352256808, 0.002198921] * 0.1175 = [0.041390175, 0.000258373] result = analysis._vec_b(donors) assert_almost_equal(result, [0.041390175, 0.000258373])
def test_matrix_sigma_eta_two_donors(self): analysis = QmedAnalysis(self.catchment, CatchmentCollections(self.db_session), year=2000) donors = analysis.find_donor_catchments()[0:2] # 17001, 10001 result = analysis._matrix_sigma_eta(donors) # 0.1175 * 0.001908936 = 0.00022430 assert_almost_equal(result, [[0.1175, 0.00022430], [0.00022430, 0.1175]])
def test_qmed_two_donors(self): analysis = QmedAnalysis(self.catchment, CatchmentCollections(self.db_session), year=2000) donors = analysis.find_donor_catchments()[0:2] # 17001, 10001 result = analysis.qmed(method='descriptors', donor_catchments=donors) # exp(ln(0.61732109) + 0.34379622 * 0.55963062 + 0.00102012 * 0.02991561) = # exp(ln(0.61732109) + 0.192429411) = 0.748311028 self.assertAlmostEqual(result, 0.748311028, places=5)
def test_model_error_corr_between_two_donors(self): analysis = QmedAnalysis(self.catchment, CatchmentCollections(self.db_session), year=2000) donors = analysis.find_donor_catchments()[0:2] # 17001, 10001 dist = donors[0].distance_to(donors[1]) self.assertAlmostEqual(dist, 188.8487072) # not verified result = analysis._model_error_corr(donors[0], donors[1]) self.assertAlmostEqual(result, 0.001908936)
def test_lnqmed_residuals_two_donors(self): analysis = QmedAnalysis(self.catchment, CatchmentCollections(self.db_session), year=2000) donors = analysis.find_donor_catchments()[0:2] # 17001, 10001 qmed_amax = [QmedAnalysis(d).qmed() for d in donors] qmed_descr =[QmedAnalysis(d, year=2000).qmed(method='descriptors') for d in donors] assert_almost_equal(qmed_amax, [90.532, 50.18]) # not verified assert_almost_equal(qmed_descr, [51.73180402, 48.70106637]) # not verified result = [analysis._lnqmed_residual(d) for d in donors] assert_almost_equal(result, [0.55963062, 0.02991561])
def test_matrix_sigma_eps_two_donors(self): analysis = QmedAnalysis(self.catchment, CatchmentCollections(self.db_session), year=2000) donors = analysis.find_donor_catchments()[0:2] # 17001, 10001 record0 = [donors[0].amax_records_start(), donors[0].amax_records_end()] record1 = [donors[1].amax_records_start(), donors[1].amax_records_end()] self.assertEqual(record0, [1969, 2005]) # n=37 self.assertEqual(record1, [1939, 1984]) # n=46, 16 years overlapping result = analysis._matrix_sigma_eps(donors) # 4 * 0.16351290**2 / 37 = 0.00289043 # 4 * 0.16351290 * 0.20423656 * 16 / 37 / 46 * 0.133632774 = 0.00016781 # 4 * 0.20423656**2 / 46 = 0.00362718 assert_almost_equal(result, [[0.00289043, 0.00016781], [0.00016781, 0.00362718]])
def analyse_catchment(catchment, gauged_catchments): result = {} result['id'] = catchment.id analysis = QmedAnalysis(catchment) result['qmed_amax'] = analysis.qmed(method='amax_records') result['qmed_descr'] = analysis.qmed(method='descriptors') result['qmed_descr_1999'] = analysis.qmed(method='descriptors_1999') analysis.gauged_catchments = gauged_catchments donors = analysis.find_donor_catchments() analysis.idw_power = 2 result['qmed_descr_idw'] = analysis.qmed(method='descriptors', donor_catchments=donors) analysis.idw_power = 3 result['qmed_descr_idw3'] = analysis.qmed(method='descriptors', donor_catchments=donors) analysis.donor_weighting = 'equal' result['qmed_descr_first'] = analysis.qmed(method='descriptors', donor_catchments=donors[0:1]) return result
def analyse_catchment(catchment, gauged_catchments): result = {} result['id'] = catchment.id analysis = QmedAnalysis(catchment) result['qmed_amax'] = analysis.qmed(method='amax_records') result['qmed_descr'] = analysis.qmed(method='descriptors') result['qmed_descr_1999'] = analysis.qmed(method='descriptors_1999') analysis.gauged_catchments = gauged_catchments donors = analysis.find_donor_catchments() analysis.idw_power = 2 result['qmed_descr_idw'] = analysis.qmed(method='descriptors', donor_catchments=donors) analysis.idw_power = 3 result['qmed_descr_idw3'] = analysis.qmed(method='descriptors', donor_catchments=donors) analysis.donor_weighting = 'equal' result['qmed_descr_first'] = analysis.qmed(method='descriptors', donor_catchments=donors[0:1]) return result
from floodestimation.loaders import load_catchment from floodestimation import db from floodestimation.collections import CatchmentCollections from floodestimation.analysis import QmedAnalysis db_session = db.Session() dee_catchment = load_catchment('nith_cds.cd3') gauged_catchments = CatchmentCollections(db_session) qmed_analysis = QmedAnalysis(dee_catchment, gauged_catchments) print(qmed_analysis.qmed()) print(qmed_analysis.methods) print(qmed_analysis.qmed_all_methods()) print(qmed_analysis.urban_adj_factor()) print(qmed_analysis.find_donor_catchments(5, 200.0)) qmed_analysis.idw_power = 1.5 print(qmed_analysis.idw_power) donors = qmed_analysis.find_donor_catchments(5, 200.0) for donor in donors: Q = QmedAnalysis(donors[0], gauged_catchments) print(donor, qmed_analysis._error_correlation(donor), Q.qmed_all_methods()) db_session.close()
from floodestimation.collections import CatchmentCollections from floodestimation.analysis import QmedAnalysis db_session = db.Session() dee_catchment = load_catchment('nith_cds.cd3') gauged_catchments = CatchmentCollections(db_session) qmed_analysis = QmedAnalysis(dee_catchment, gauged_catchments) print(qmed_analysis.qmed()) print(qmed_analysis.methods) print(qmed_analysis.qmed_all_methods()) print(qmed_analysis.urban_adj_factor()) print(qmed_analysis.find_donor_catchments(5, 200.0)) qmed_analysis.idw_power = 1.5 print(qmed_analysis.idw_power) donors = qmed_analysis.find_donor_catchments(5, 200.0) for donor in donors: Q = QmedAnalysis(donors[0], gauged_catchments) print(donor,qmed_analysis._error_correlation(donor),Q.qmed_all_methods()) db_session.close()
def test_vector_alpha_two_donors(self): analysis = QmedAnalysis(self.catchment, CatchmentCollections(self.db_session), year=2000) donors = analysis.find_donor_catchments()[0:2] # 17001, 10001 result = analysis._vec_alpha(donors) assert_almost_equal(result, [0.34379622, 0.00102012]) # calculated in Excel
def test_matrix_omega_two_donors(self): analysis = QmedAnalysis(self.catchment, CatchmentCollections(self.db_session), year=2000) donors = analysis.find_donor_catchments()[0:2] # 17001, 10001 result = analysis._matrix_omega(donors) assert_almost_equal(result, [[0.12039043, 0.00039211], [0.00039211, 0.12112718]])
def test_lnqmed_corr(self): analysis = QmedAnalysis(self.catchment, CatchmentCollections(self.db_session), year=2000) donors = analysis.find_donor_catchments()[0:2] # 17001, 10001 results = analysis._lnqmed_corr(donors[0], donors[1]) self.assertAlmostEqual(results, 0.133632774)
def test_beta_two_donors(self): analysis = QmedAnalysis(self.catchment, CatchmentCollections(self.db_session), year=2000) donors = analysis.find_donor_catchments()[0:2] # 17001, 10001 result = [analysis._beta(d) for d in donors] assert_almost_equal(result, [0.16351290, 0.20423656])
def test_model_error_corr_two_donors(self): analysis = QmedAnalysis(self.catchment, CatchmentCollections(self.db_session), year=2000) donors = analysis.find_donor_catchments()[0:2] # 17001, 10001 result = [analysis._model_error_corr(self.catchment, d) for d in donors] assert_almost_equal(result, [0.352256808, 0.002198921])
def test_distance_two_donors(self): analysis = QmedAnalysis(self.catchment, CatchmentCollections(self.db_session), year=2000) donors = analysis.find_donor_catchments()[0:2] # 17001, 10001 result = [d.distance_to(self.catchment) for d in donors] assert_almost_equal(result, [5, 183.8515], decimal=4)