Improving the performance of distributed conceptual hydrological models using the spatio-temporal patterns of RS observations: Improving the performance of distributed conceptual hydrological models using the spatio-temporal patterns of RS observations

Hydrological models are used for all kinds of water management applications. Detailed hydrological simulations are needed to solve the hydrological problems of the 21st century, especially in developing countries. However, sufficient hydrological and meteorological data is often not available. The use of remote sensing (RS) datasets may offer a...

Diagnostics of the Theoretical Underpinning of the Socio-hydrological Model in "Water Effciency in Sustainable Cotton-based Production Systems" Project in Maharashtra, India: Evaluation of model performance and the quantication of errors using Monte Carlo sampling, GLUE, linear regressions, linear PCA, and kernel PCA

This research is part of the project "Water Efficiency in Sustainable Cotton-based Production Systems” between Solidaridad Asia and TU Delft. The project aims to increase the livelihood of smallholder farmers in the Maharashtra, India through. A socio-hydrological (SH) model is used extensively in this research as an evaluation tool. However,...

Compensation of data shortage by evaluation criteria in hydrological modelling

This thesis proposes an approach for tackling the problem of data-shortage in hydrological modelling. A hydrological model, in the context of this thesis, translates meteorological data to stream-flow of a river, for a specific catchment. A model incorporates parameters that describe the dynamics of a chosen model, in this case a FLEX (Flux...