Adaptive query-based offline model - Datasets and python code

This folder contains both the python codes and data used for “Accelerated Two-Dimensional Flood Inundation Modelling through Adaptive Query-based Offline Model”. It has three folders, “codes” folder contains all python codes in order numbered to the file name, “data” folder contains the data used for this study and “results” folder contains the predicted flood maps along with the figures. Data: “AF_area.max”: It provides the always flooded cells in the study area. “bha_databaseEvents.csv”: It contains the historical and generated synthetic hydrographs. “bha_validEvents.csv”: It contains the hydrographs 5 validation events used in this study. “flood_21_characteristics_database.csv”: It contains the discharge values at particular time instances used for regression analysis. “floodEvents_21_database_bha_konta.csv”: It contains key flood characteristics used for generating synthetic events. “historicalEvents_bha_21.csv”: 21 historical flood hydrographs at Bhadrachalam. “historicalEvents_kon_21.csv”: 21 historical flood hydrographs at Konta. Python codes: “1_syntheticEventsGeneration.py”: This file is used for generating synthetic hydrographs at Bhadrachalam and Konta. “2_sampledEvents_plots.py”: This file is used for generating figures in this publication. “3_hydrographMatching_allQueries.py”: This file is used for retrieving the best matching hydrographs from database using all eight queries for all 5 validation events. “4_hydrographMatching_allQueries_plots.py”: This file is used for generating hydrograph matching error figure from all queries for all events. “5_inundationMetrics_allQueries.py”: This file is used for retrieving the ensemble flood maps from database along with their median. “6_inundationMetrics_allQueries_plot.py”: This file is used for the figure shown in publication showing the flood maps error for all queries. “7_adaptiveQuery_results.py”: This file adapts the adaptive query-based model where it selects the optimal query for each segment. “8_adaptiveQuery_results_plots.py”: This file is used for generating the Figures used in this publication based on adaptive query-based offline model results.