Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas–a review
E Cristiano, M ten Veldhuis… - Hydrology and Earth …, 2017 - hess.copernicus.org
In urban areas, hydrological processes are characterized by high variability in space and
time, making them sensitive to small-scale temporal and spatial rainfall variability. In the last …
time, making them sensitive to small-scale temporal and spatial rainfall variability. In the last …
[HTML][HTML] A review of recent advances in urban flood research
Due to a changing climate and increased urbanization, an escalation of urban flooding
occurrences and its aftereffects are ever more dire. Notably, the frequency of extreme storms …
occurrences and its aftereffects are ever more dire. Notably, the frequency of extreme storms …
Reconstruction of a flash flood event using a 2D hydrodynamic model under spatial and temporal variability of storm
In this paper, the catastrophic flash flood event which occurred in the western part of Attica
(Greece) in November 2017 is reconstructed. The flood event hit the town of Mandra …
(Greece) in November 2017 is reconstructed. The flood event hit the town of Mandra …
[HTML][HTML] Recent insights on uncertainties present in integrated catchment water quality modelling
F Tscheikner-Gratl, V Bellos, A Schellart… - Water research, 2019 - Elsevier
This paper aims to stimulate discussion based on the experiences derived from the QUICS
project (Quantifying Uncertainty in Integrated Catchment Studies). First it briefly discusses …
project (Quantifying Uncertainty in Integrated Catchment Studies). First it briefly discusses …
Partitioning the impacts of spatial and climatological rainfall variability in urban drainage modeling
The performance of urban drainage systems is typically examined using hydrological and
hydrodynamic models where rainfall input is uniformly distributed, ie, derived from a single …
hydrodynamic models where rainfall input is uniformly distributed, ie, derived from a single …
Spatial rainfall variability in urban environments—high-density precipitation measurements on a city-scale
Rainfall runoff models are frequently used for design processes for urban infrastructure. The
most sensitive input for these models is precipitation data. Therefore, it is crucial to account …
most sensitive input for these models is precipitation data. Therefore, it is crucial to account …
The influence of rainfall and catchment critical scales on urban hydrological response sensitivity
Interactions between spatial and temporal variability of rainfall and catchment characteristics
strongly influence hydrological response. In urban areas, where runoff generation is fast due …
strongly influence hydrological response. In urban areas, where runoff generation is fast due …
Revisiting flood hazard assessment practices under a hybrid stochastic simulation framework
We propose a novel probabilistic approach to flood hazard assessment, aiming to address
the major shortcomings of everyday deterministic engineering practices in a computationally …
the major shortcomings of everyday deterministic engineering practices in a computationally …
Estimating rainfall depth from satellite-based soil moisture data: A new algorithm by integrating SM2RAIN and the analytical net water flux models
Sparse distribution of rain gauge networks challenges the estimation of rainfall variability
over space and time. The SM2RAIN algorithm was developed to estimate rainfall from the …
over space and time. The SM2RAIN algorithm was developed to estimate rainfall from the …
[HTML][HTML] Sampling design optimisation for rainfall prediction using a non-stationary geostatistical model
The accuracy of spatial predictions of rainfall by merging rain-gauge and radar data is partly
determined by the sampling design of the rain-gauge network. Optimising the locations of …
determined by the sampling design of the rain-gauge network. Optimising the locations of …