Earth Observations-Informed Modelling for the Design of Nature-Based Climate Adaptation Strategies

Doctoral Thesis (2026)
Author(s)

M.H. Ali (TU Delft - Surface and Groundwater Hydrology)

Contributor(s)

D.P. Solomatine – Promotor (TU Delft - Water Systems Monitoring & Modelling)

I.I. Popescu – Promotor (TU Delft - Water Systems Monitoring & Modelling)

M. Hrachowitz – Promotor (TU Delft - Surface and Groundwater Hydrology)

Research Group
Surface and Groundwater Hydrology
More Info
expand_more
Publication Year
2026
Language
English
Research Group
Surface and Groundwater Hydrology
ISBN (print)
978-90-73445-77-2
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Climate change poses prodigious challenges to water resource management. In addressing these challenges, traditional grey measures lack adaptability and long-term sustainability. In contrast, Nature Based Solutions (NBSs) offer flexible, sustainable and eco-friendly alternatives. The design and effectiveness of NBS-based adaptation strategies could be potentially assessed through integrated hydrological models, which simulate both surface and subsurface complex hydrological processes. However, the accuracy of models to efficiently simulate the hydrological processes significantly depends on the quality and availability of input data. Earth Observation (EO) datasets offer a wide range of hydrological data with comprehensive spatial and temporal coverage, yet their quality remains uncertain and requires evaluation across different scales and regions.....