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Improving rainfall–runoff modelling through the control of uncertainties under increasing climate variability in the Ouémé River basin (Benin, West Africa).
- Source :
- Hydrological Sciences Journal/Journal des Sciences Hydrologiques; Dec2016, Vol. 61 Issue 16, p2902-2915, 14p
- Publication Year :
- 2016
-
Abstract
- The objective of this paper is to understand how the natural dynamics of a time-varying catchment, i.e. the rainfall pattern, transforms the random component of rainfall and how this transformation influences the river discharge. To this end, this paper develops a rainfall–runoff modelling approach that aims to capture the multiple sources and types of uncertainty in a single framework. The main assumption is that hydrological systems are nonlinear dynamical systems which can be described by stochastic differential equations (SDE). The dynamics of the system is based on the least action principle (LAP) as derived from Noether’s theorem. The inflow process is considered as a sum of deterministic and random components. Using data from the Ouémé River basin (Benin, West Africa), the basic properties for the random component are considered and the triple relationship between the structure of the inflowing rainfall, the corresponding SDE that describes the river basin and the associated Fokker-Planck equations (FPE) is analysed.EDITOR D. Koutsoyiannis; ASSOCIATE EDITOR D. Gerten [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 02626667
- Volume :
- 61
- Issue :
- 16
- Database :
- Complementary Index
- Journal :
- Hydrological Sciences Journal/Journal des Sciences Hydrologiques
- Publication Type :
- Academic Journal
- Accession number :
- 119055415
- Full Text :
- https://doi.org/10.1080/02626667.2016.1164315