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opencc-by-4.0Jun 2013View details →

Fig. 6 in Effects of the interannual variations in the flood pulse mediated by hypoxia tolerance: the case of the fish assemblages in the upper Paraná River floodplain

Fig. 6. Relationships between each assemblage attribute and dissolved oxygen, in years of short (white) and moderate floods (black). Attributes where either calculated for the entire fish assemblage (STH+SIH) (a-c) and for the subsets of STH (d-f) and SIH (g-i). Numbers 1-6 are codes of the sampling stations (see Fig. 1).

Figure S2 in Behaviour of two predator fishes Esox lucius Linnaeus, 1758 and Silurus glanis Linnaeus, 1758 during two successive floods in the French Aisne River

Figure S2. – Cumulative distance and number of recorded movements upstream and downstream versus waterflow between October 2020 and March 2021 for European catfish.

Figure 10 in Behaviour of two predator fishes Esox lucius Linnaeus, 1758 and Silurus glanis Linnaeus, 1758 during two successive floods in the French Aisne River

Figure 10. – Correspondence of the positions of the pike no 64 and the European catfish no. 117 on the 2nd and 4th or February. The cross corresponds to the place where the pike's tag was retrieved, on the 17th of February. The European catfish is seen alone in the river nearby on the 23rd.

Figure 9 in Behaviour of two predator fishes Esox lucius Linnaeus, 1758 and Silurus glanis Linnaeus, 1758 during two successive floods in the French Aisne River

Figure 9. – Distance (in meters) from the Berry-au-Bac dam KP of the 5 smaller catfishes (light) and the two larger (dark) versus time (a) or size (b)

Figure 8 in Behaviour of two predator fishes Esox lucius Linnaeus, 1758 and Silurus glanis Linnaeus, 1758 during two successive floods in the French Aisne River

Figure 8. – Successive positions of the pike no. 166 during and after flood and supposed route that was followed.

Figure 5 in Behaviour of two predator fishes Esox lucius Linnaeus, 1758 and Silurus glanis Linnaeus, 1758 during two successive floods in the French Aisne River

Figure 5. – Kilometric points recorded (A) and fixes (B) of the pike no 83 between October 2020 and March 2021.

Figure 4 in Behaviour of two predator fishes Esox lucius Linnaeus, 1758 and Silurus glanis Linnaeus, 1758 during two successive floods in the French Aisne River

Figure 4. – Kilometric points recorded (A) and fixes (B) of the pike no 155 between October 2020 and March 2021.

Figure 1 in Behaviour of two predator fishes Esox lucius Linnaeus, 1758 and Silurus glanis Linnaeus, 1758 during two successive floods in the French Aisne River

Figure 1. – Map of the study site and locations of fixed antennas, points of interest, and maximum extension of the flooded area estimated from field observations, GPS recordings and analysis of the contours of the land.

opencc-by-4.0Jul 2024View details →

Flood Classification Dataset from the River Wupper in Germany

<h1>Flood Classification Dataset from the River Wupper in Germany</h1> This dataset contains sensor measurements of water levels and rainfall amounts around the river Wupper region and the city of Wuppertal in North Rhine-Westphalia Germany. The dataset shows data over 19 years and from 10 different sensors. The data is sampled to one data point every 30 minutes. The water level measurements are given in [cm] and show 2 different measuring locations: The first is a river water level in the inner city of Wuppertal, called Kluserbrücke (Abbrev.: WL KLU), the second is the water level of the biggest dam, positioned upstream to WL KLU, called Krebsöge (Abbrev.:WL KRE). If the water levels exceeds 125 cm at WL KLU, local authorities would issue a warning as the water level is dangerously high from then on. The rain measurements are given in [mm] and as there is one datapoint given for every 30 minutes, indicates the amount of rain in millimeters fallen in the last 30 minutes. All abbreviations for precipitation sensors carry the prefix Prec and are followed by a name indicating the specific sensor location.   <h2>File Structure</h2> The data is split up into train/validation/test and a cross validation datasets. The File is named in this manner: <ul> <li>HWS-{d}-{k}_multi_label.csv Where: <ul> <li>{d} indicates the dataset purpose: {TRAIN, VAL, TEST}</li> <li>{k} indicates the cross-validation fold.</li> </ul> </li> </ul> <h2> Source</h2> This dataset is based on data from the Wupperverband (<a title="Wupperverband" href="https://www.wupperverband.de/startseite" target="_blank" rel="noopener">https://www.wupperverband.de/startseite</a>) and the open data platform of the Deutscher Wetterdienst (DWD) (<a title="Opendata DWD" href="https://opendata.dwd.de/" target="_blank" rel="noopener">https://opendata.dwd.de/</a>).

opencc-by-4.0Sep 2015View details →

Fig. 1 in The Influence Of Spring Flood Water Levels On The Distribution And Numbers Of Terns (On The Example Of The Lower Desna River)

Fig. 1. The dynamics of spring FLood according to Landsat 8 satellite images (А — a fragment of Landsat 8 SI as of May 18, 2013; B — a fragment of Landsat 8 SI as of June 6, 2014).

opencc-by-4.0Sep 2015View details →

Fig. 4 in The Influence Of Spring Flood Water Levels On The Distribution And Numbers Of Terns (On The Example Of The Lower Desna River)

Fig. 4. Changes in numbers of breeding pairs and colonies of Chlidonias and Sterna terns on the Lower Desna in 2013–2014.

Fig. 6 in Population dynamics of the migratory fish Prochilodus lineatus in a neotropical river: the relationships with river discharge, flood pulse, El Niño and fluvial megafan behaviour

Fig. 6. Above: Retreat of the Pilcomayo River and dynamic creation of new flood plains due to self-blockage (silting up) of the river channel. This caused a retreat of hundreds of kilometers of the choke point in a few decades (indicated by the black arrow) and an upstream migration of the flood plains. Bullets indicate migrating Sábalo population in the Pilcomayo River (white) and Sábalo population in the La Plata basin (black). Below: Breakthrough of Pilcomayo River bank inundating new areas in the Chaco floodplain area.

Fig. 5 in Population dynamics of the migratory fish Prochilodus lineatus in a neotropical river: the relationships with river discharge, flood pulse, El Niño and fluvial megafan behaviour

Fig. 5. (a) Mean annual discharge and Sábalo catches over the years in the Pilcomayo River near Villa Montes. (b) Calculated and observed Sábalo catches based on the data presented in Fig. 4a. Correlations were obtained by stepwise multiple linear regression with backward selection (SPSS v. 15.0). The river discharge of the seven preceding years (Y1-Y7) plus the current year (Y0) were used in the analyses. The solid line is based upon the years 1980-2006. The dashed line is based upon the years 1997-2007. (c) Observed Sábalo catches plotted against the calculated Sábalo catches for the years 1980-1996 and 1997- 2006. Data of Sábalo catches and mean river discharges were obtained from Proyecto Pilcomayo (Tarija, Bolivia).

Fig. 4 in Population dynamics of the migratory fish Prochilodus lineatus in a neotropical river: the relationships with river discharge, flood pulse, El Niño and fluvial megafan behaviour

Fig. 4. (a) Mean annual discharge for the Pilcomayo River since 1960. The values were calculated for the hydrological year, which runs from October of the previous year until September of the current year. Data were obtained from Proyecto Pilcomayo (Tarija, Bolivia). (b) Mean monthly values of the Southern Oscillation Index (dots) and mean annual discharges of the Pilcomayo River (open circles), since 1976. Mean annual discharge values were calculated from data obtained from Proyecto Pilcomayo (Tarija, Bolivia). The values were calculated for the hydrological year, which runs from October of the previous year until September of the current year.

Fig. 3 in Population dynamics of the migratory fish Prochilodus lineatus in a neotropical river: the relationships with river discharge, flood pulse, El Niño and fluvial megafan behaviour

Fig. 3. Total dissolved solids concentration (TDS) in Pilcomayo River water (a) or water temperature (b) and gonadal maturation indices of Sábalo (Prochilodus lineatus) fish versus time (May 1998 until February 1999). The gonadal maturation indices are scaled from 1 to 6 in which 6 represents spawning.

opencc-by-4.0Sep 2009View details →

Fig. 1 in Influence of environmental parameters on fish assemblage of a Neotropical river with a flood pulse regime, Central Brazil

Fig. 1. Study area located in the lower section of the Mortes River, Bananal floodplain, Central Brazil. The boldface numbers correspond to the stretches sampled.

Fig. 3 in Effects of extended absence of flooding on the fish assemblages of three floodplain lagoons in the middle São Francisco River, Brazil

Fig. 3. Catch per unit of effort in number of individuals (CPUEn) in the 'Curral-de-Vara' and 'Cajueiro' lagoons of the middle São Francisco River, Brazil, from September 1994 to March 1996 (dot = mean; whiskers = maximum and minimum).

Fig. 5 in Effects of extended absence of flooding on the fish assemblages of three floodplain lagoons in the middle São Francisco River, Brazil

Fig. 5. São Francisco River flow at the town of Manga, State of Minas Gerais, during the last 20 years before 2003, including the period of study.

Fig. 4 in Effects of extended absence of flooding on the fish assemblages of three floodplain lagoons in the middle São Francisco River, Brazil

Fig. 4. Catch per unit of effort in biomass (CPUEb) in the 'Curral-de-Vara' and 'Cajueiro' lagoons of the middle São Francisco River, Brazil, from September 1994 to March 1996 (dot = mean; whiskers = maximum and minimum). Different letters above columns indicate significant differences.

Fig. 2 in Effects of extended absence of flooding on the fish assemblages of three floodplain lagoons in the middle São Francisco River, Brazil

Fig. 2. Fish richness in the marginal lagoons of the middle São Francisco River, Brazil, from September 1994 to March 1996.