STOCHASTIC FLOW REGIME CLASSIFICATION AND INVERSE ...€¦ · Rodriguez-Iturbe. I., & Rinaldo A....
Transcript of STOCHASTIC FLOW REGIME CLASSIFICATION AND INVERSE ...€¦ · Rodriguez-Iturbe. I., & Rinaldo A....
STOCHASTIC FLOW REGIME CLASSIFICATION AND INVERSE PRECIPITATION ESTIMATION FROM DISCHARGE IN THE HUMID TROPICS
Enrico Bonanno(1,2,3), Christian Birkel(4,5), Julian Klaus(1), and Gianluca Botter(3)
[email protected] LIST.lu
Context
The major processes for characterizing the hydrology of a basin can be
subdivided in three categories: recharge (1), losses (2) and storage of
water (3) (Rodríguez-Iturbe & Rinaldo [1997]).
Understanding streamflow variability in space and time is crucial for its
impact on ecological and morphological processes in river systems (natural
flow regime, Poff [1997]).
Problems
Catchment classification can be a useful tool for understanding streamflow
regimes. However, complex hydroclimatic and geomorphic environment
in data poor regions are difficult to study.
In this perspective, stochastic methods may serve as a parsimonious tool
for a better understanding of poorly gauged catchments.
In detail:
1. We apply a stochastic model (by Botter et al. [2013]) to different
catchments in tropical Costa Rica;
2. We infer catchment average rainfall-runoff characteristics in a
“hydrology backwards” approach…
…which will be used to:
3. Propose a novel and coherent hydroclimatic classification of Costa Rica
based on streamflow regime and precipitation characteristics.
18 Catchments – streamflow data from 01/01/1973–31/12/2003
The backward hydrology approach - different from Kirchner’s method
[2009] - allowed us to estimate rainfall intensity and frequency as
indicators of that specific catchment hydrological regime.
Novel and coherent hydro-climatic classification of Costa Rica
Miralles, D. G., Holmes, T. R. H., de Jeu, R. A. M., Gash, J. H., Meesters, A. G. C. A. & Dolman, A. J. (2011), Global land-surface evaporation estimated from satellite-based observations. Hydrology and Earth System Sciences, 15, 453–469, doi: 10.5194/hess-15-453-2011. Mu, Q., Zhao, M. & Running, S.W. (2011). Improvements to a MODIS Global Terrestrial Evapotranspiration Algorithm. Remote Sensing of Environment, Volume 115, pages 1781-1800.doi:10.1016/j.rse.2011.02.019. Poff, N. L., Allan, J. D., Bain, M. B., Karr, J. R., Prestegaard, K. L., Richter, B. D., Sparks, R. E. & Stromberg, J. C. (1997). The Natural Flow Regime. BioScience, vol. 47, No. 11 (Dec., 1997), pp. 769-
784. DOI: 10.2307/1313099
Rodriguez-Iturbe. I., & Rinaldo A. (1997). Fractal River Basins: Chance and Self-Organization. Cambridge Univ. Press. New York;
Acknowledgements EB acknowledges funding from the project PRIDE/15/10623093/HYDRO-CSI programme for part of this work. CB would like to acknowledge support by the University of Costa Rica Research Council (project 217-B3-34) and the Water and Global Change Observatory (OACG – ED3309). GB acknowledges funding from the ERC-2017-COG “DyNET” (Grant. N. 770999).
Effective rainfall distributed as a Poisson process: - Average frequency λ [T−1];
- Average intensity α [L].
k - hydrograph recession rate [T-1] dependingon morphological
features.
Linear storage-discharge relationship
Steady-state probability distribution function (pdf)
.
𝐶𝑉𝑄 = √𝑘 𝜆⁄
If λ/k > 1 the mean frequency of
effective rainfall is higher than
the flow decay rate.
If λ/k < 1 the mean frequency of
effective rainfall is smaller than
the flow decay rate.
Persistent regime Erratic regime
Streamflow regimes
After Botter et al. [2013]
After Botter et al. [2013]
Rainfall regimes and their variability
This work allowed us to classify and evaluate the seasonal streamflow and rainfall regime of 18 Costa Rican catchments.
The consequent microclimatic classification emphasizes the importance to relate hydrological, climatic and streamflow
patterns.
(3) Department of Civil, Architectural and Environmental Engineering (ICEA), University of Padova, Padova
(4) Department of Geography, University of Costa Rica, San José, Costa Rica
(5) Northern Rivers Institute, University of Aberdeen, Aberdeen, Scotland
Costa Rican volcanic soils (Losilla et al.
[2001]) explain the Persistent Regime for
the high majority of the catchments.
Backward hydrology approach
From streamflow to rainfall
1 2
3 4
5
References Botter G., Porporato A., Rodriguez-Iturbe I. & Rinaldo A. (2007). Basin-scale soil moisture dynamics and the probabilistic characterization of carrier hydrologic flows: Slow. leaching-prone components of the hydrologic response. Water Resources Research, 43, W02417. Botter, G., Basso, S., Rodriguez-Iturbe, I. & Rinaldo, A. (2013). Resilience of river flow regimes. Proceedings of the national Academy of Sciences of United States of America, 110(32): 12925-12930. Hengl, T., de Jesus, J. M., MacMillan, R. A., Batjes, N. H., Heuvelink, G. B. M., Ribeiro, E., et al. (2014). SoilGrids1km — Global Soil Information Based on Automated Mapping. PLoS ONE 9(8): e105992. Kirchner, J. W. (2009). Catchments as simple dynamical systems: Catchment characterization,rainfall-runoff modeling, and doing hydrology backward. Water Resources Research, 45, W02429, doi:10.1029/2008WR006912. Losilla, M., Rodríguez, H., Schosinsky, G., Stimson, J. & Bethune, D. (2001). Los acuíferos volcánicos y el desarrollo sostenible en América Central, EUNED 1st edition, San José, Costa Rica.
(1) Catchment and Eco-Hydrology Group, Luxembourg Institute of Science and
Technology, Belvaux, Luxembourg
(2) Institute of Hydraulic and Water Resources Engineering, Vienna University of
Technology, Vienna, Austria