[HTML][HTML] How to make ecological models useful for environmental management
Understanding and predicting the ecological consequences of different management
alternatives is becoming increasingly important to support environmental management …
alternatives is becoming increasingly important to support environmental management …
[HTML][HTML] Recent insights on uncertainties present in integrated catchment water quality modelling
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 …
Toward street‐level nowcasting of flash floods impacts based on HPC hydrodynamic modeling at the watershed scale and high‐resolution weather radar data
In our era, the rapid increase of parallel programming coupled with high‐performance
computing (HPC) facilities allows for the use of two‐dimensional shallow water equation (2D …
computing (HPC) facilities allows for the use of two‐dimensional shallow water equation (2D …
Data-driven surrogate modeling: Introducing spatial lag to consider spatial autocorrelation of flooding within urban drainage systems
H Li, C Zhang, M Chen, D Shen, Y Niu - Environmental Modelling & …, 2023 - Elsevier
Data-driven surrogate modeling has been increasingly employed for flooding simulation of
urban drainage systems (UDSs) due to its high computational efficiency and accuracy …
urban drainage systems (UDSs) due to its high computational efficiency and accuracy …
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 …
Flooding and overflow mitigation using deep reinforcement learning based on Koopman operator of urban drainage systems
In recent studies, deep reinforcement learning (RL) methods have been used for the real‐
time control of urban drainage systems (UDSs). However, the training process of an RL …
time control of urban drainage systems (UDSs). However, the training process of an RL …
Toward sustainable urban drainage infrastructure planning: a combined multiobjective optimization and multicriteria decision-making platform
This study aims to introduce a generic solution in the context of a multicriteria decision
making (MCDM) platform to (1) facilitate the optimization of hybrid (de) centralized urban …
making (MCDM) platform to (1) facilitate the optimization of hybrid (de) centralized urban …
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation
This paper presents an efficient surrogate modeling strategy for the uncertainty
quantification and Bayesian calibration of a hydrological model. In particular, a process …
quantification and Bayesian calibration of a hydrological model. In particular, a process …
Global and local sensitivity analysis to improve the understanding of physically-based urban wash-off models from high-resolution laboratory experiments
Physically-based urban wash-off models are a promising means of studying the transport of
finer suspended solids and their associated pollutants during rain events, considering …
finer suspended solids and their associated pollutants during rain events, considering …
Parameter estimation of hydrologic models using a likelihood function for censored and binary observations
Observations of a hydrologic system response are needed to accurately model system
behaviour. Nevertheless, often very few monitoring stations are operated because collecting …
behaviour. Nevertheless, often very few monitoring stations are operated because collecting …