Publication Type : Conference Paper
Thematic Areas : Wireless Network and Application
Publisher : The International Union of Geodesy and Geophysics (IUGG) (Oral Presentation), Prague, Czech Republic
Source : The International Union of Geodesy and Geophysics (IUGG) (Oral Presentation), Prague, Czech Republic (2015)
Campus : Amritapuri
School : School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Wireless Networks and Applications (AWNA)
Year : 2015
Abstract : The hydrological decade on Predictions in Ungauged Basins (PUB) led to many new insights in model development, calibration strategies, data acquisition and uncertainty analysis. Due to a limited amount of published studies on genuinely ungauged basins, model validation and realism assessment of model outcome has not been discussed to a great extent. With this paper we aim to contribute to the discussion on how one can determine the value and validity of a hydrological model developed for an ungauged basin. As in many cases no local, or even regional, data are available, alternative methods should be applied. Using a PUB case study in a genuinely ungauged basin in southern Cambodia, we give several examples of how one can use different types of soft data to improve model design, calibrate and validate the model, and assess the realism of the model output. A rainfall-runoff model was coupled to an irrigation reservoir, allowing the use of additional and unconventional data. The model was mainly forced with remote sensing data, and local knowledge was used to constrain the parameters. Model realism assessment was done using data from surveys. This resulted in a successful reconstruction of the reservoir dynamics, and revealed the different hydrological characteristics of the two topographical classes. This paper does not present a generic approach that can be transferred to other ungauged catchments, but it aims to show how clever model design and alternative data acquisition can result in a valuable hydrological model for an ungauged catchment..
Cite this Research Publication : Alka Singh, Seitz, F., and Kumar, U., “Estimation and prediction of the ungauged basins using satellite remote sensing and state space model”, in The International Union of Geodesy and Geophysics (IUGG) (Oral Presentation), Prague, Czech Republic, 2015.