Peak flow frequency is the number of times that flow crosses over an exceedance flow threshold (10-, 5-, or 2-year recurrence intervals of annual peak flow). This metric is measured in frequency count (number of occurrences).
Steps
Convert raw data from a single column of dates and a single column of flows into a matrix with columns organized by water year. Each column starts with the beginning of the water year (i.e. 10/1) and ends with the end of water year (9/30).
Calculate the 10%, 20%, and 50% exeedance values of annual peak flow over the entire period of record.
for column_number, _ inenumerate(matrix[0]): flow_data = matrix[:, column_number] peak_flows.append(np.nanmax(flow_data))for percentile in peak_percentiles: peak_exceedance_values.append(np.nanpercentile(peak_flows, 100- percentile))
In each water year, create an object each time the flow passes the exceedance value, and append that object onto an array.
"""Init current flow object"""for percent in exceedance_percent: exceedance_object[percent]= [] exceedance_duration[percent]= [] current_flow_object[percent]=None"""Loop through each flow value for the year to check if they pass exceedance threshold"""for row_number, flow_row inenumerate(matrix[:, column_number]):for percent in exceedance_percent: if bool(flow_row < exceedance_value[percent] and current_flow_object[percent]) or bool(row_number == len(matrix[:, column_number]) - 1 and current_flow_object[percent]):
"""End of an object if it falls below threshold, or end of column""" current_flow_object[percent].end_date = row_number +1 current_flow_object[percent].get_max_magnitude() exceedance_duration[percent].append(current_flow_object[percent].duration) current_flow_object[percent]=None
Calculate the frequency by counting the length of the object array.
for percent in exceedance_percent: freq[percent].append(len(exceedance_object[percent]))