From 5a010857b80c8cfdfed0faee013fccbfcbe43c96 Mon Sep 17 00:00:00 2001 From: ERKuipers Date: Mon, 25 Nov 2024 12:19:43 +0100 Subject: [PATCH 1/4] adding impact folder and merging file, shared glofas to imppact events --- .../Modelled_vsImpactRP5.0_yr_leadtime168.cpg | 1 + .../Modelled_vsImpactRP5.0_yr_leadtime168.dbf | Bin 0 -> 2398244 bytes .../Modelled_vsImpactRP5.0_yr_leadtime168.prj | 1 + .../Modelled_vsImpactRP5.0_yr_leadtime168.shp | Bin 0 -> 4251812 bytes .../Modelled_vsImpactRP5.0_yr_leadtime168.shx | Bin 0 -> 5396 bytes comparison/impact/merging_csv.py | 155 ++++++++++++++++++ comparison/{ => observation}/HydroImpact.py | 0 7 files changed, 157 insertions(+) create mode 100644 GloFAS/results/Modelled_vsImpactRP5.0_yr_leadtime168.cpg create mode 100644 GloFAS/results/Modelled_vsImpactRP5.0_yr_leadtime168.dbf create mode 100644 GloFAS/results/Modelled_vsImpactRP5.0_yr_leadtime168.prj create mode 100644 GloFAS/results/Modelled_vsImpactRP5.0_yr_leadtime168.shp create mode 100644 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zE|Hip#A+1g)mU7wF2#EEGbYJLlQFOH4ROYMN6cyuElQ)+gLG#ueIEVC|NF!o9}|7< zVuo8 14, 'End Date'] = df['Start Date'] + timedelta(days=14) + return df + +# Convert dates to datetime objects if they aren't already +innondation_df['Start Date'] = pd.to_datetime(innondation_df['Start Date'], dayfirst=True) +innondation_df['End Date'] = pd.to_datetime(innondation_df['End Date'], dayfirst=True) + +innondation_df = limit_long_events (innondation_df) +# Apply the splitting function +innondation_df_expanded = split_administrative_units(innondation_df) + +# Function to check if two date ranges overlap +def is_date_overlap(start1, end1, start2, end2): + return max(start1, start2) <= min(end1, end2) + +# Function to check if two rows match based on administrative units +def is_admin_unit_match(row1, row2): + # 1. First check if both communes are available and match + if pd.notna(row1['Commune']) and pd.notna(row2['Commune']): + return row1['Commune'] == row2['Commune'] # Match only if Communes are the same + + # 2. If Commune is missing in either dataset, check Cercle + if pd.isna(row1['Commune']) or pd.isna(row2['Commune']): + if pd.notna(row1['Cercle']) and pd.notna(row2['Cercle']): + return row1['Cercle'] == row2['Cercle'] # Match only if Cercles are the same + + # 3. If Commune and Cercle are missing, check Région + if (pd.isna(row1['Commune']) and pd.isna(row2['Commune'])) or (pd.isna(row1['Cercle']) and pd.isna(row2['Cercle'])): + return row1['Région'] == row2['Région'] # Match only if Régions are the same + + return False # No match if none of the above conditions apply + +# Merge and deduplicate while adding additional info where relevant +def merge_with_additional_info(innondation_df, desinventar_df): + merged_data = innondation_df.copy() + thrown_out_entries = [] + + # Iterate over desinventar entries + for _, row2 in desinventar_df.iterrows(): + overlap_found = False + + # Iterate over innondation entries + for idx1, row1 in merged_data.iterrows(): + same_admin_unit = is_admin_unit_match(row1, row2) # Check for matching administrative unit + + # If same administrative unit and date overlap + if same_admin_unit and is_date_overlap(row1['Start Date'], row1['End Date'], row2['Start Date'], row2['End Date']): + overlap_found = True + + # Compare date ranges, update if desinventar has more information + duration1 = (row1['End Date'] - row1['Start Date']).days + duration2 = (row2['End Date'] - row2['Start Date']).days + if duration2 > duration1: + # Update innondation row with longer coverage or missing data from desinventar + merged_data.at[idx1, 'Start Date'] = row2['Start Date'] + merged_data.at[idx1, 'End Date'] = row2['End Date'] + + # Add extra administrative info if desinventar has more detail + if pd.isna(row1['Commune']) and pd.notna(row2['Commune']): + merged_data.at[idx1, 'Commune'] = row2['Commune'] + if pd.isna(row1['Cercle']) and pd.notna(row2['Cercle']): + merged_data.at[idx1, 'Cercle'] = row2['Cercle'] + if pd.isna(row1['Région']) and pd.notna(row2['Région']): + merged_data.at[idx1, 'Région'] = row2['Région'] + + break # Stop searching once overlap is found + + # If no overlap found, append the desinventar row + if not overlap_found: + merged_data = pd.concat([merged_data, pd.DataFrame([row2])], ignore_index=True) + + return merged_data + +# Merge datasets +merged_df = merge_with_additional_info(innondation_df_expanded, desinventar_df) + +# Save final merged data +merged_df.to_csv(DataDir / 'MergedImpactData.csv', index=False) diff --git a/comparison/HydroImpact.py b/comparison/observation/HydroImpact.py similarity index 100% rename from comparison/HydroImpact.py rename to comparison/observation/HydroImpact.py From 99a41d7da9ef72704db034103ddabcca9983543a Mon Sep 17 00:00:00 2001 From: ERKuipers Date: Mon, 25 Nov 2024 14:36:30 +0100 Subject: [PATCH 2/4] pointmatching includes working buffer for points to polygon --- comparison/observation/HydroImpact.py | 13 +- .../Hydro Stations - Return Periods.xlsx | Bin 0 -> 23414 bytes .../data/DNHMali_2019/HydroStations_RP.csv | 45 +++ ... a\342\225\240\303\207 Bafing Makana.xlsx" | Bin 0 -> 238978 bytes ...3\274 a\342\225\240\303\207 Bougouni.xlsx" | Bin 0 -> 539867 bytes ...u Bafing a\342\225\240\303\207 Dibia.xlsx" | Bin 0 -> 271949 bytes ...\274 a\342\225\240\303\207 Pankourou.xlsx" | Bin 0 -> 568211 bytes ... du Bani a\342\225\240\303\207 Douna.xlsx" | Bin 0 -> 520608 bytes ...du Bani a\342\225\240\303\207 Sofara.xlsx" | Bin 0 -> 556252 bytes ... Niger a\342\225\240\303\207 Ansongo.xlsx" | Bin 0 -> 391317 bytes ...iger a\342\225\240\303\207 Banankoro.xlsx" | Bin 0 -> 340337 bytes ...240\303\207 Dire\342\225\240\303\274.xlsx" | Bin 0 -> 447523 bytes ...iger a\342\225\240\303\207 Koulikoro.xlsx" | Bin 0 -> 438124 bytes ...du Niger a\342\225\240\303\207 Mopti.xlsx" | Bin 0 -> 453096 bytes ...3\274gal a\342\225\240\303\207 Kayes.xlsx" | Bin 0 -> 526004 bytes ...e Niger a\342\225\240\303\207 Bamako.xlsx" | Bin 0 -> 365642 bytes ... a\342\225\240\303\207 Bafing Makana.xlsx" | Bin 0 -> 269017 bytes ...e Niger a\342\225\240\303\207 Bamako.xlsx" | Bin 0 -> 279333 bytes ...iger a\342\225\240\303\207 Koulikoro.xlsx" | Bin 0 -> 290213 bytes .../DNHMali_2019/Q_stations/Niger_Ansongo.csv | 367 ++++++++++++++++++ .../DNHMali_2019/Q_stations/Niger_Bamako.csv | 367 ++++++++++++++++++ .../Q_stations/Niger_Banankoro.csv | 367 ++++++++++++++++++ .../Q_stations/Niger_Bougouni.csv | 367 ++++++++++++++++++ .../DNHMali_2019/Q_stations/Niger_Dire.csv | 367 ++++++++++++++++++ .../DNHMali_2019/Q_stations/Niger_Douna.csv | 367 ++++++++++++++++++ .../Q_stations/Niger_Koulikoro.csv | 367 ++++++++++++++++++ .../DNHMali_2019/Q_stations/Niger_Mopti.csv | 367 ++++++++++++++++++ .../Q_stations/Niger_Pankourou.csv | 367 ++++++++++++++++++ .../DNHMali_2019/Q_stations/Niger_Sofara.csv | 367 ++++++++++++++++++ .../Q_stations/Senegal_Bafing Makana.csv | 367 ++++++++++++++++++ .../Q_stations/Senegal_Dibiya.csv | 367 ++++++++++++++++++ .../DNHMali_2019/Q_stations/Senegal_Kayes.csv | 367 ++++++++++++++++++ .../DNHMali_2019/Q_stations/stations.xlsx | Bin 0 -> 21532 bytes .../DNHMali_2019/Q_stations/~$stations.xlsx | Bin 0 -> 165 bytes .../data/DNHMali_2019/Stations_DNH.xlsx | Bin 0 -> 21330 bytes ... a\342\225\240\303\207 Bafing Makana.xlsx" | Bin 0 -> 244 bytes ...3\274 a\342\225\240\303\207 Bougouni.xlsx" | Bin 0 -> 244 bytes ...u Bafing a\342\225\240\303\207 Dibia.xlsx" | Bin 0 -> 244 bytes ...\274 a\342\225\240\303\207 Pankourou.xlsx" | Bin 0 -> 244 bytes ... du Bani a\342\225\240\303\207 Douna.xlsx" | Bin 0 -> 244 bytes ...du Bani a\342\225\240\303\207 Sofara.xlsx" | Bin 0 -> 244 bytes ... Niger a\342\225\240\303\207 Ansongo.xlsx" | Bin 0 -> 244 bytes ...iger a\342\225\240\303\207 Banankoro.xlsx" | Bin 0 -> 244 bytes ...240\303\207 Dire\342\225\240\303\274.xlsx" | Bin 0 -> 244 bytes ...iger a\342\225\240\303\207 Koulikoro.xlsx" | Bin 0 -> 244 bytes ...du Niger a\342\225\240\303\207 Mopti.xlsx" | Bin 0 -> 244 bytes ...3\274gal a\342\225\240\303\207 Kayes.xlsx" | Bin 0 -> 244 bytes ...e Niger a\342\225\240\303\207 Bamako.xlsx" | Bin 0 -> 244 bytes ... a\342\225\240\303\207 Bafing Makana.xlsx" | Bin 0 -> 244 bytes ...e Niger a\342\225\240\303\207 Bamako.xlsx" | Bin 0 -> 244 bytes ...iger a\342\225\240\303\207 Koulikoro.xlsx" | Bin 0 -> 244 bytes .../._stations.xlsx" | Bin 0 -> 244 bytes .../._~$stations.xlsx" | Bin 0 -> 244 bytes comparison/pointMatching.py | 82 ++-- 54 files changed, 4851 insertions(+), 60 deletions(-) create mode 100644 comparison/observation/data/DNHMali_2019/Hydro Stations - Return Periods.xlsx create mode 100644 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"comparison/observation/data/DNHMali_2019/Q_stations/De\342\225\240\303\274bit du Niger a\342\225\240\303\207 Ansongo.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/Q_stations/De\342\225\240\303\274bit du Niger a\342\225\240\303\207 Banankoro.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/Q_stations/De\342\225\240\303\274bit du Niger a\342\225\240\303\207 Dire\342\225\240\303\274.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/Q_stations/De\342\225\240\303\274bit du Niger a\342\225\240\303\207 Koulikoro.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/Q_stations/De\342\225\240\303\274bit du Niger a\342\225\240\303\207 Mopti.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/Q_stations/De\342\225\240\303\274bit du Se\342\225\240\303\274ne\342\225\240\303\274gal a\342\225\240\303\207 Kayes.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/Q_stations/De\342\225\240\303\274bits du 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comparison/observation/data/DNHMali_2019/Q_stations/Niger_Koulikoro.csv create mode 100644 comparison/observation/data/DNHMali_2019/Q_stations/Niger_Mopti.csv create mode 100644 comparison/observation/data/DNHMali_2019/Q_stations/Niger_Pankourou.csv create mode 100644 comparison/observation/data/DNHMali_2019/Q_stations/Niger_Sofara.csv create mode 100644 comparison/observation/data/DNHMali_2019/Q_stations/Senegal_Bafing Makana.csv create mode 100644 comparison/observation/data/DNHMali_2019/Q_stations/Senegal_Dibiya.csv create mode 100644 comparison/observation/data/DNHMali_2019/Q_stations/Senegal_Kayes.csv create mode 100644 comparison/observation/data/DNHMali_2019/Q_stations/stations.xlsx create mode 100644 comparison/observation/data/DNHMali_2019/Q_stations/~$stations.xlsx create mode 100644 comparison/observation/data/DNHMali_2019/Stations_DNH.xlsx create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._De\342\225\240\303\274bit de Bafing a\342\225\240\303\207 Bafing Makana.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._De\342\225\240\303\274bit de Baoule\342\225\240\303\274 a\342\225\240\303\207 Bougouni.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._De\342\225\240\303\274bit du Bafing a\342\225\240\303\207 Dibia.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._De\342\225\240\303\274bit du Bagoe\342\225\240\303\274 a\342\225\240\303\207 Pankourou.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._De\342\225\240\303\274bit du Bani a\342\225\240\303\207 Douna.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._De\342\225\240\303\274bit du Bani a\342\225\240\303\207 Sofara.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._De\342\225\240\303\274bit du Niger a\342\225\240\303\207 Ansongo.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._De\342\225\240\303\274bit du Niger a\342\225\240\303\207 Banankoro.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._De\342\225\240\303\274bit du Niger a\342\225\240\303\207 Dire\342\225\240\303\274.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._De\342\225\240\303\274bit du Niger a\342\225\240\303\207 Koulikoro.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._De\342\225\240\303\274bit du Niger a\342\225\240\303\207 Mopti.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._De\342\225\240\303\274bit du Se\342\225\240\303\274ne\342\225\240\303\274gal a\342\225\240\303\207 Kayes.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._De\342\225\240\303\274bits du Fleuve Niger a\342\225\240\303\207 Bamako.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._HE du Bafing a\342\225\240\303\207 Bafing Makana.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._HE du Fleuve Niger a\342\225\240\303\207 Bamako.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._HE du Fleuve Niger a\342\225\240\303\207 Koulikoro.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._stations.xlsx" create mode 100644 "comparison/observation/data/DNHMali_2019/__MACOSX/Donne\342\225\240\303\274es partage\342\225\240\303\274es - DNH Mali - 2019/._~$stations.xlsx" diff --git a/comparison/observation/HydroImpact.py b/comparison/observation/HydroImpact.py index d854002..df58732 100644 --- a/comparison/observation/HydroImpact.py +++ b/comparison/observation/HydroImpact.py @@ -176,7 +176,6 @@ def loop_over_stations(station_csv, DataDir, RP, admPath, adminLevel): stationPath = rf"{hydrodir}/{BasinName}_{StationName}.csv" try: hydro_df = transform_hydro (stationPath) - except: print (f'no discharge measures found for station {StationName} in {BasinName}') continue @@ -190,7 +189,7 @@ def loop_over_stations(station_csv, DataDir, RP, admPath, adminLevel): all_events_df = pd.concat (all_events, ignore_index=True) - gdf_pointPolygon = attributePoints_to_Polygon (admPath, station_csv, 'StationName') + gdf_pointPolygon = attributePoints_to_Polygon (admPath, station_csv, 'StationName', border_tolerance=5000, StationDataDir=cfg.stationsDir) gdf_pointPolygon.rename(columns={f'ADM{adminLevel}_FR':f'ADM{adminLevel}'}, inplace=True) gdf_melt = gdf_pointPolygon.melt( id_vars=gdf_pointPolygon.columns.difference(['StationName', 'StationName_0', 'StationName_1', 'StationName_2']), @@ -203,12 +202,14 @@ def loop_over_stations(station_csv, DataDir, RP, admPath, adminLevel): # Proceed with the merge hydro_events_df = pd.merge(gdf_melt, all_events_df, left_on='StationName_Merged', right_on='StationName', how='inner') hydro_events_df [f'ADM{adminLevel}'] = hydro_events_df [f'ADM{adminLevel}'].apply(capitalize) + hydro_events_df.to_csv (f"{DataDir}/observation/observational_flood_events_RP_{RP}yr.csv") hydro_events_gdf = gpd.GeoDataFrame(hydro_events_df, geometry='geometry') - hydro_events_gdf.to_file(f"{DataDir}/Impact_from_hydro_RP_{RP}.gpkg") + hydro_events_gdf.to_file(f"{DataDir}/observation/observational_flood_events_RP_{RP}yr.gpkg") + hydro_events_gdf.to_file return hydro_events_gdf if __name__=="__main__": - #print (readcsv(f"{DataDir}/Données partagées - DNH Mali - 2019/Donne╠ües partage╠ües - DNH Mali - 2019/De╠übit du Niger a╠Ç Ansongo.csv")) - event_gdf = loop_over_stations (cfg.DNHstations, cfg.DataDir, 5, cfg.admPath, cfg.adminLevel) - print (event_gdf) \ No newline at end of file + for RP in cfg.RPsyr: + #print (readcsv(f"{DataDir}/Données partagées - DNH Mali - 2019/Donne╠ües partage╠ües - DNH Mali - 2019/De╠übit du Niger a╠Ç Ansongo.csv")) + event_gdf = loop_over_stations (cfg.DNHstations, cfg.DataDir, RP, cfg.admPath, cfg.adminLevel) \ No newline at end of file diff --git a/comparison/observation/data/DNHMali_2019/Hydro Stations - Return Periods.xlsx b/comparison/observation/data/DNHMali_2019/Hydro Stations - Return Periods.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..d0e8e67d432e9082ab845acb03fe7f44291e875b GIT binary patch literal 23414 zcmeFYgLiFDvo;!M$F^-JJGO1xwr$(CZQD+EZ0*>#zWmPIpKV0^J7BXs8{T( zNkaeO)Y@Md#Ee}kd#xv7z#iE37kiSNTpQ2h0zL&DDl9G~16Xp}&`|KeQg;yQwsk`i z%mOz8l4TgSVB@ge*Ku;<(lELOH4$amMf3ylUSHDlT?nqnvSIkaewL`kMFo4N{f+Dd 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,temps propagation (ans),2,5,10,20,50,100,200,500,1000, +Guélélinkoro,Sankarani,11.15,-8.5643,,23300,,ND,,,,,,,,,, +Séligué Aval,,11.64,"-8,23",325,34200,1964,,618,717,790,853,897,939,981,1031,1063, +Gouala,,11.97,"-8,23",-,35300,-,,576,654,692,729,767,795,821,856,874, +Banankoro, Niger Supérieur,11.68,"-8,66",,71800,1967,le temps de progation entre Banankoro et Bamako peuvent être variables entre 4 et 12 jours. le temps de progation entre Banankoro et Bamako sont dépendants des apports du Sankarani. ,566,677,724,763,835,871,906,941,975, +Kéniéroba ,,12.1,"-8,31",-,113000,1953,,544,614,655,679,723,750,768,803,821, +Bamako,,12.63,"-7,99",316,117000,1941,,331,370,387,407,427,442,451,468,482, +Koulikoro,,12.86,"-7,56",290,120000,1907,Bamako - Koulikoro: 1 jour ,532,596,625,653,693,707,733,760,774, +Tamani,,13.33,"-6,83",282,131500,1952, Koulikoro - Tamani: 3 jours ,519,579,620,646,688,705,736,756,782, +Ségou ,,13.45,"-6,26",279,136500,1958,Tamani - Kirango : 2 jous,456,506,537,559,581,601,621,642,656, +Kirango,,13.69,"-6,07",275,137000,1925,,495,555,585,614,644,672,686,714,728, +Ké-Macina ,,13.95,"-5,35",277,147000,1953, Kirango - Ké-Macina : 1 jour ,564,623,658,681,715,737,757,782,793, +Mopti,Delta du Niger,14.49,"-4,20",261,281600,1922,ND,492,610,641,662,688,703,719,739,750, +Nantaka,,14.54,"-4,21",261,281600,-,,569,639,680,719,759,795,819,859,878, +Akka,,15.39,"-4,23",-,307000,1955,,459,486,504,522,546,563,575,592,604, +Niafunké,,15.93,"-3,98",258,348300,1926,,461,475,503,521,543,560,571,588,599, +Diré,,16.27,"-3,38",258,366500,1954,,329,496,515,531,551,563,573,586,595, +Koryoumé,Niger Moyen ,16.67,"-3,03",-,360000,1963,,412,482,512,526,551,561,575,590,604, +Taoussa,,16.97,"-0,55",250,340000,1954,,484,507,532,550,575,588,605,623,635, +Ansongo ,,15.66,"-00,49",242,566000,1950,,141,297,309,316,325,331,336,342,347, +Gao,,16.26,"-0,05",245,556000,1948,,336,413,430,446,462,472,482,495,502, +Labbezanga,,14.95,"-0,69",-,-,-,,204,249,261,269,279,287,293,299,305, +Sofara,Bani,14.01,"-4,25",263,129400,1952,,527,595,633,670,707,726,761,779,814, +Beneny Kegny,,13.38,"-4,92",266,116000,1951,,526,619,682,733,794,837,872,923,945, +Douna,,13.21,"-5,89",281,101300,1922,,563,702,768,825,888,939,963,1020,1055, +Kana,,12.95,"-06,34",283,-,-,,,,,,,,,,, +Bougouni,Baoulé,11.39,"-7,45",330,15700,1975,,672,782,876,964,1049,1120,1139,1207,1282, +Dioila,,12.51,"-6,83",292,32500,1953,,517,632,686,770,848,884,923,993,1052, +Kouoro1,Banifing,12.01,"-5,69",298,14300,1957,,691,875,983,1106,1181,1274,1345,1414,1544, +Pankourou,Bagoé,11.45,-6.58,292,32150,1956,,777,973,1066,1134,1240,1274,1351,1436,1519, +,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,, +Senegal Basin,,,,,,,,,,,,,,,,, +"Station names,",Sub-Basin,Latitude N (°),Longitude W (°),Altitude Z (m),Catchment area (km2),dates de creation ,,,,,,,,,,, +Daka Saidou,Bafing ,11.94,"-10,61",307,15700,1952,,,,,,,,,,, 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