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Dynamics of hydrological droughts propagation in mountainous catchments Cover

Dynamics of hydrological droughts propagation in mountainous catchments

Open Access
|Apr 2022

Figures & Tables

Figure 1

The Dunajec river catchment to Nowy Sącz water-gauge station. Numbering of sub-catchments as in Tab. 1Source: own elaboration
The Dunajec river catchment to Nowy Sącz water-gauge station. Numbering of sub-catchments as in Tab. 1Source: own elaboration

Figure 2

(a) Basic parameters of low-flows using the example of episodes from 1994–1995 on the Dunajec river (Nowy Targ-Kowaniec water-gauging station); and (b) a graphical illustration of the estimation of Relative Drought Streamflow Deficit (RSD). Tn – low-flow duration, Vn – drought streamflow deficit volume of the low-flow event [m3], Vmax – maximum possible streamflow deficit volume during the low-flow event, i.e. when the discharge value equals 0 [m3], Q70% – flow corresponding to the seventieth percentile of the flow duration curveSource: own elaboration and Tomaszewski 2012 (changed)
(a) Basic parameters of low-flows using the example of episodes from 1994–1995 on the Dunajec river (Nowy Targ-Kowaniec water-gauging station); and (b) a graphical illustration of the estimation of Relative Drought Streamflow Deficit (RSD). Tn – low-flow duration, Vn – drought streamflow deficit volume of the low-flow event [m3], Vmax – maximum possible streamflow deficit volume during the low-flow event, i.e. when the discharge value equals 0 [m3], Q70% – flow corresponding to the seventieth percentile of the flow duration curveSource: own elaboration and Tomaszewski 2012 (changed)

Figure 3

An example of hydrological drought identification in the Dunajec river catchment in 2008. Numbering of sub-catchments as in Tab. 1Source: own elaboration
An example of hydrological drought identification in the Dunajec river catchment in 2008. Numbering of sub-catchments as in Tab. 1Source: own elaboration

Figure 4

The curve of hydrological drought concentration (example of drought from 23.08 – 31.10.2018)Source: own elaboration
The curve of hydrological drought concentration (example of drought from 23.08 – 31.10.2018)Source: own elaboration

Figure 5

Multiannual course of hydrological drought characteristics in the upper Dunajec river catchment. DSI – Drought Severity Index, DRI – Drought Range Index, DDPC – Drought Development Pace Coefficient, DCI – Drought Concentration Index, DCnI – Drought Continuation Index. Numbering of droughts as in Tab. 2Source: own elaboration
Multiannual course of hydrological drought characteristics in the upper Dunajec river catchment. DSI – Drought Severity Index, DRI – Drought Range Index, DDPC – Drought Development Pace Coefficient, DCI – Drought Concentration Index, DCnI – Drought Continuation Index. Numbering of droughts as in Tab. 2Source: own elaboration

Figure 6

Spatial range of selected hydrological droughts in the upper Dunajec river catchment. DRI – Drought Range Index, DSI – Drought Severity Index, Dt – Drought Duration
Spatial range of selected hydrological droughts in the upper Dunajec river catchment. DRI – Drought Range Index, DSI – Drought Severity Index, Dt – Drought Duration

Figure 7

(a) Dendrogram of the similarity between hydrological droughts; and (b) the course of the GWZ index for the identification of the optimal number of classes. M – location of the stopping criterion according to Mojena's ruleSource: own elaboration
(a) Dendrogram of the similarity between hydrological droughts; and (b) the course of the GWZ index for the identification of the optimal number of classes. M – location of the stopping criterion according to Mojena's ruleSource: own elaboration

Figure 8

(a) Average values and standard deviations of selected drought parameters characterizing individual types of hydrological drought; and (b) their distribution according to the identified types of drought in the upper Dunajec river catchmentSource: own elaboration
(a) Average values and standard deviations of selected drought parameters characterizing individual types of hydrological drought; and (b) their distribution according to the identified types of drought in the upper Dunajec river catchmentSource: own elaboration

Characteristics of hydrological droughts in the upper Dunajec river catchment (1989–2018)

No.PeriodDt [days]DSI [%]DRI [%]DCIDDPC [%]cv(DDPC)DCnI [%]
101.11.1988–21.03.198914132.8896.790.4813.441.0258.19
214.10.1989–04.04.199017322.6891.170.6441.410.3237.33
305.06.1990–02.09.19909017.3294.550.6772.940.3032.87
415.12.1990–17.05.199115426.6396.790.5930.660.5744.50
508.06.1991–01.08.19915515.1813.160.7652.120.3911.77
627.11.1991–25.03.199212024.6393.930.4945.090.4645.92
706.06.1992–17.10.199213425.8896.790.5963.940.1344.27
811.12.1992–26.03.199447123.2990.840.3465.110.4145.14
927.06.1994–20.04.199529823.4096.790.5450.280.5245.18
1023.07.1995–22.04.199627527.87100.000.4363.490.3762.80
1110.11.1996–29.04.199717115.70100.000.4741.960.3559.18
1217.09.1997–15.11.19976027.60100.000.5973.570.1212.25
1330.07.1998–28.09.1998619.9597.750.3763.390.3252.79
1419.11.1998–01.04.199913427.0095.790.3741.090.5155.71
1531.07.1999–29.03.200024324.3298.180.5957.400.4037.80
1619.08.2000–17.03.200121224.04100.000.4169.860.2261.82
1706.10.2001–19.03.200216524.48100.000.5548.090.4252.39
1819.04.2002–26.05.2002388.8124.050.4352.630.5711.32
1907.12.2002–18.04.200313334.06100.000.4058.050.1563.61
2031.05.2003–17.03.200429226.80100.000.3963.360.2865.62
2122.08.2004–04.04.200522717.63100.000.5267.670.3247.16
2202.09.2005–02.04.200621326.21100.000.3161.830.3379.48
2311.07.2006–04.09.200742122.26100.000.7140.940.6734.81
2414.12.2007–10.04.200811920.9786.620.5538.180.6026.43
2512.05.2008–20.09.200813215.3392.180.7349.380.5524.73
2619.10.2008–28.03.200916115.2898.180.5539.070.6236.86
2708.09.2009–22.10.20094515.1186.610.4556.350.2135.78
2803.01.2010–22.03.20107913.9998.830.4363.560.3547.66
2915.10.2010–06.04.201117417.4692.680.5266.260.4326.81
3029.08.2011–05.04.201222031.05100.000.3764.660.2972.39
3129.06.2012–13.04.201328925.64100.000.4743.670.4055.40
3223.07.2013–07.04.201425917.61100.000.6335.810.6833.28
3303.11.2014–27.03.201514519.5088.650.5948.550.4529.48
3423.06.2015–16.11.201514725.1498.300.5048.230.2751.53
3515.12.2015–03.05.201614120.9098.300.5724.230.3535.32
3607.06.2016–16.07.2016409.6631.410.6776.070.2119.88
3729.12.2016–23.03.20178511.9578.820.5950.370.2238.35
3821.06.2017–02.09.20177414.1988.010.7671.520.2723.99
3930.12.2017–31.03.20189223.2668.720.6666.300.0629.67
4029.04.2018–13.07.20187615.278.210.5158.880.585.99
4123.08.2018–31.10.20187014.0183.930.5877.450.2033.71

Selected characteristics of the investigated catchments (1989–2018)

No.River - water-gaugeA [km2]*avgH* [m asl.]Q70% [m3/s]q70% [dm3/s/km2]ALq [dm3/s/km2]AAq [dm3/s/km2]AHq [dm3/s/km2]
1Czarny Dunajec - Koniówka1341443.041.9614.6210.2432.1084.74
2Dunajec – Nowy Targ431.81370.383.959.156.5220.2653.37
3Dunajec – Nowy Targ-Kowaniec681.11367.857.1610.517.7221.7553.09
4Dunajec – Sromowce Wyżne1278.31486.5314.311.198.5821.9355.01
5Dunajec – Krościenko1580.31457.9816.410.387.8820.8753.44
6Dunajec – Gołkowice2046.91407.7019.59.537.4319.3949.76
7Dunajec – Nowy Sącz43411388.99347.836.0115.5838.41
8Kościeliski Stream – Kościelisko-Kiry34.51540.250.8223.7715.8851.50134.31
9Lepietnica – Ludźmierz50.7898.420.47.895.5219.5853.18
10Wielki Rogoźnik – Ludźmierz124.3811.040.766.114.2214.8637.65
11Biały Dunajec – Zakopane-Harenda58.41385.291.1219,1813.5142.04110.78
12Biały Dunajec – Szaflary210.11313.512.813,339.8826.0961.27
13Poroniec – Poronin78.81360.620.739.266.6313.0253.96
14Białka – Łysa Polana63.11733.431.0616.810.7652.21143.48
15Białka – Trybsz 2202.31569.163.0615.1310.3137.85101.45
16Niedziczanka – Niedzica136.4769.000.745.433.4015.2742.07
17Grajcarek – Szczawnica73.6868.100.547.345.3616.9243.16
18Ochotnica – Tylmanowa107.6840.730.767.065.2115.5537.84
19Poprad – Muszyna-Milik1695.1779.749.725.734.4312.5530.98
20Poprad – Stary Sącz2071707.9911.95.744.3912.4930.42

Parameters for linear trend equations in the series of selected spatial hydrological drought characteristics for the upper Dunajec river catchment (1989–2018) (significance of trends at level α=0_05)

DtDRIDSIDDPCDCnIDCI
a−1.59−0.39−0.200.25−0.350.001
R20.040.040.140.040.060.02
p (t-Student test)0.2250.2160.0180.2070.1230.375
p (Mann-Kendall test)0.1850.2960.0100.3010.1110.345
DOI: https://doi.org/10.2478/mgrsd-2022-0002 | Journal eISSN: 2084-6118 | Journal ISSN: 0867-6046
Language: English
Page range: 111 - 124
Submitted on: Sep 20, 2020
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Accepted on: Feb 9, 2022
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Published on: Apr 29, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Malwina Kozek, Edmund Tomaszewski, published by Faculty of Geography and Regional Studies, University of Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.