lebedeva l . 1,2 , semenova o. 2,4 , volkova n . 3

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Testing the process-based Hydrograph model under non-stationary conditions in small fire-affected watersheds in France and Russia Lebedeva L. 1,2 , Semenova O. 2,4 , Volkova N. 3 1 Nansen Environmental and Remote Sensing Centre 2 Gidrotehproekt Ltd 3 State Hydrological Institute 4 St. Petersburg State University St. Petersburg, Russia The study is partially supported by Russian-German Otto Schmidt Laboratory for Polar and Marine research

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Testing the process-based Hydrograph model under non-stationary conditions in small fire-affected watersheds in France and Russia. Lebedeva L . 1,2 , Semenova O. 2,4 , Volkova N . 3 1 Nansen Environmental and Remote Sensing Centre 2 Gidrotehproekt Ltd 3 State Hydrological Institute - PowerPoint PPT Presentation

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Page 1: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Testing the process-based Hydrograph model under non-stationary conditions in small fire-

affected watersheds in France and RussiaLebedeva L.1,2, Semenova O.2,4, Volkova N.3

1Nansen Environmental and Remote Sensing Centre2Gidrotehproekt Ltd

3State Hydrological Institute4St. Petersburg State University

St. Petersburg, Russia

The study is partially supported by Russian-German Otto Schmidt Laboratory for Polar and Marine research

Page 2: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Goal and objectives

to develop method to cope with non-stationary post-fire conditions using process-based Hydrograph model: case study of small watershed in France and middle-scale watershed in Russia

Objectives:–to detect and compare fire impact on flow regime in diverse

scales and landscapes by statistical and modelling approaches

–to establish datasets of landscape characteristics in pre- and post-fire periods accounting for vegetation succession

–to estimate the hydrological model parameters in a dynamic mode, according to the landscape succession in post fire period.

–to simulate runoff generation both for pre- and post-fire periods

Page 3: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Methodology

Development of dynamic set of model parameters for post-fire period

Page 4: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Study area: the Ruisseau du Rimbaud at Collobrieres, France

Fourcade B. , Coudrain-ribstein A. , Martin C. 2002 What can be deduced from chemical measurement in an open-field raingauge? An example in the Maures Massif, southeastern France. Hydrological Sciences Journal  Vol. 47, Iss. 3

•Area 1.46 km2; elevation 470 - 620 m; daily data available for 1968-2004•Mediterranean climate with intense autumn rains and summer drought•Precipitation - 1200 mm/year, flow - 700 mm/year, PE - 900 mm•Shrubby maquis and a degraded forest of cork oak, chestnut and maritime pines•Thin, sandy soils of the ranker type•August 1990 fire destroyed 85 % of the watershed

Vine P., Puech C., Clement B., Bouguerzaz F. 1996. Remote sensing and vegetation recovery mapping after a forest fire. EARSel Advances in remote sensing. Vol.4, No 4 - XI

Page 5: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Study area: Vitimkan and Vitim river basins, Russia

•Area 969 and 18200 km2; elevation 1000 – 2500 m

•Severe continental climate with snowmelt high-water period in spring and summer floods

•Precipitation – 350-600 mm/year; runoff – 140-300 mm/year

•Bare rocks, tundra, sparse larch forest, taiga; continuous permafrost

•Daily data available for 1958-2004•May and June 2003 fire destroyed

78 % and 49 % of the watersheds

Page 6: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Wildfire impact on hydrology: Rimbaud watershedRelationship throughout the autumn-winter period (September,

October, November and December) between instantaneous peak flood discharge and precipitation within 24 hours. Period after the fire: September 1990 - November 1994 (Cosandey et al. 2005)

Cosandey C, Andréassian V, Martin C, Didon-Lescot JF, Lavabre J, Folton N, Mathys N, Richard D. 2004. The hydrological impact of the Mediterranean forest: A review of French research. Journal of Hydrology 301:1–15

Page 7: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Wildfire impact on hydrology: Rimbaud watershed

Relationship throughout the autumn-winter period (September, October, November and December) between daily peak flood discharge and daily precipitation (period after the fire: September 1990 - November 1994).

09.12.1990 27.09.1992

Page 8: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Wildfire impact on hydrology: Rimbaud watershed

Shakesby RA (2011) Post-wildfire soil erosion in the Mediterranean: Review and future research directions Earth Science Reviews 105, 71-100. 

Instantaneous flood peaks for 24-hour rainfall events >20 mm for pre- and post-fire periods (Shakesby, 2011)

Page 9: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Fire impact is evident on fine time resolution only?

Wildfire impact on hydrology: Rimbaud watershed

Fire

1968-1990:Prec = 43 mmRunoff = 0.31 m3/s

1990-1994:Prec = 38 mmRunoff = 0.18 m3/s

1990-2004:Prec = 41 mmRunoff = 0.26 m3/s

Daily flood peaks for daily rainfall >20 mm for pre- and post-fire periods

Page 10: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Wildfire impact on hydrology: Vitim and Vitimkan river basins

Vitim river basin – 49 % burnt area; Vitimkan river basin – 78 % burnt area

2003

Annual daily peak floods, 1958-2004

2003 annual peak flood in Vitimkan river basin is heightened 20-50 % comparative to Vitim river basin

Page 11: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Wildfire impact on hydrology: Vitim and Vitimkan river basins

Vitim river basin – 49 % burnt area; Vitimkan river basin – 78 % burnt area

2003 July and August monthly runoff depth in Vitimkan river basin is heightened 20 – 300 % comparative to Vitim river basin

July and August monthly depth, 1958-2004

Page 12: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Wildfire impact on hydrology: Vitim and Vitimkan river basins

Vitim river basin – 49 % burnt area; Vitimkan river basin – 78 % burnt area

2003 and 2004 spring flood depth in Vitimkan basin is lower 40-150 % comparative to Vitim river basin

Spring flood depth, 1958-2004

Page 13: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Process-based hydrological modelling

It can use dynamic set of parameters which are changing in time

Minimum calibration (parameters can be obtained apriori)

Common input daily data (air temperature and moisture, precipitation)

Free of scale problem (from soil column to large basin)

initially developed by Prof. Yury Vinogradovinitially developed by Prof. Yury Vinogradovwww.hydrograph-model.ru

Page 14: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Results of the Hydrograph model application to Rimbaud watershed

Simulated hydrographs have satisfactory agreement with observed ones in both pre- and post-fire period. Modelling results doesn’t detect any significant changes after the fire.

01.197510.197407.197404.197401.1974

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0.8

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001.197710.197607.197604.197601.1976

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0.8

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01.198910.198807.198804.198801.1988

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008.199105.199102.199111.199008.1990

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Fire

The average year: P = 1216 mm; Qobs = 722 mm; Qsim = 623 mm; NS = 0.82

The wettest year: P = 1822 mm; Qobs = 1314 mm; Qsim = 1224 mm; NS = 0.91

The driest year: P = 596 mm; Qobs = 129 mm; Qsim = 164 mm; NS = -4.5

The year after the fire: P = 1099 mm; Qobs = 591 mm; Qsim = 541 mm; NS = 0.70

Page 15: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Results of the Hydrograph model application to Rimbaud watershed

Modelling results doesn’t detect any significant changes after the fire.

Page 16: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Results of the Hydrograph model application to Rimbaud watershed

•On average mean and low peak discharges are slightly overestimated by simulations

•High peak discharges are slightly underestimated by simulations

•Agreement between observed and simulated monthly peak floods doesn’t noticeably change in post-fire period (using daily data)

correlation coefficient = 0.89

Relationship between observed and simulated peak monthly discharges

Forest fire doesn’t lead to non-stationary catchment behavior detectable on daily temporal resolution

Page 17: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Hydrograph model application to Vitimkan river watershed

The only meteorological station located outside of the basin in 150 km from the border. Precipitation inadequacy could be clearly seen in comparison observed vs simulated hydrographs:

Simulated Observed Precipitation

10.198109.198108.198107.198106.1981

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Page 18: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Results of Hydrograph model application to Vitimkan river watershed – fixed parameters

Change detection modelling indicates 2003 peak flow increase in 6-15 times in Vitimkan river basin (78 % burnt area)

Fire

wet year: NS = 0.59

average year: NS = 0.79 dry year: NS = 0.55

NS = 0.13

Page 19: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Development of dynamic set of model parameters: first estimate

Hinzman, L., M. Fukuda, D. V. Sandberg, F. S. Chapin III, and D. Dash, FROSTFIRE: An experimental approach to predicting the climate feedbacks from the changing boreal fire regime, J. Geophys. Res., 108(D1), 8153, doi:10.1029/2001JD000415, 2003.

Talik

Page 20: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Development of dynamic set of model parameters: first estimate

based on literature review of field studies in cold regions and modelling experience.

Vegetation properties:- shadiness- interception capacity- evaporation coefficient- albedo (Anilova, 2012; Beskorovainaya et al., 2005)

Soil properties:- density (Sabaeva, 2006; Tarasov et al., 2008)- porosity (Tarasov et al., 2008)- water holding capacity (Beskorovainaya et al., 2005)- heat properties (Bolton, 2006; Beskorovainaya et al., 2005)- infiltration coefficient (Beskorovainaya et al., 2005)

Page 21: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

First run of the model with dynamic set of parameters

Simulated (fixed) PrecipitationSimulated (dynamic) Observed

09.200309.200308.200308.200307.2003

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Page 22: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Conclusion

•Forest fire effect on flow in Rimbaud watershed is negligible on daily temporal resolution. The reason is quick response and relatively simple watershed functioning. Finer data are needed.

•Forest fire have pronounced effect on peak floods, monthly and seasonal flow in Vitimkan river basin.

•Results of the Hydrograph model application are reasonable for both pre- and post-fire period for Rimbaud watershed and for pre-fire period for Vitimkan river basin.

•Model efficiency is higher in wet years than in dry in Rimbaud watershed.

•First results of the Hydrograph model application with dynamic set of parameters couldn’t be considered successful but promising for further work.

Page 23: Lebedeva  L . 1,2 ,  Semenova  O. 2,4 ,  Volkova  N . 3

Thank you