[HTML][HTML] A critical review of real-time modelling of flood forecasting in urban drainage systems
There has been a strong tendency in recent decades to develop real-time urban flood
prediction models for early warning to the public due to a large number of worldwide urban …
prediction models for early warning to the public due to a large number of worldwide urban …
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
The development and application of evolutionary algorithms (EAs) and other metaheuristics
for the optimisation of water resources systems has been an active research field for over …
for the optimisation of water resources systems has been an active research field for over …
Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling
S Razavi - Environmental Modelling & Software, 2021 - Elsevier
Recent breakthroughs in artificial intelligence (AI), and particularly in deep learning (DL),
have created tremendous excitement and opportunities in the earth and environmental …
have created tremendous excitement and opportunities in the earth and environmental …
Review of surrogate modeling in water resources
Surrogate modeling, also called metamodeling, has evolved and been extensively used
over the past decades. A wide variety of methods and tools have been introduced for …
over the past decades. A wide variety of methods and tools have been introduced for …
A review of methods for leakage management in pipe networks
Leakage in water distribution systems is an important issue which is affecting water
companies and their customers worldwide. It is therefore no surprise that it has attracted a lot …
companies and their customers worldwide. It is therefore no surprise that it has attracted a lot …
Machine learning‐based surrogate modeling for urban water networks: review and future research directions
A Garzón, Z Kapelan, J Langeveld… - Water Resources …, 2022 - Wiley Online Library
Surrogate models replace computationally expensive simulations of physically‐based
models to obtain accurate results at a fraction of the time. These surrogate models, also …
models to obtain accurate results at a fraction of the time. These surrogate models, also …
State of the art for genetic algorithms and beyond in water resources planning and management
During the last two decades, the water resources planning and management profession has
seen a dramatic increase in the development and application of various types of …
seen a dramatic increase in the development and application of various types of …
Review and classification of bio-inspired algorithms and their applications
Scientists have long looked to nature and biology in order to understand and model
solutions for complex real-world problems. The study of bionics bridges the functions …
solutions for complex real-world problems. The study of bionics bridges the functions …
[HTML][HTML] An evaluation of adaptive surrogate modeling based optimization with two benchmark problems
Surrogate modeling uses cheap “surrogates” to represent the response surface of simulation
models. It involves several steps, including initial sampling, regression and adaptive …
models. It involves several steps, including initial sampling, regression and adaptive …
Adaptive flood risk management under climate change uncertainty using real options and optimization
M Woodward, Z Kapelan, B Gouldby - Risk Analysis, 2014 - Wiley Online Library
It is well recognized that adaptive and flexible flood risk strategies are required to account for
future uncertainties. Development of such strategies is, however, a challenge. Climate …
future uncertainties. Development of such strategies is, however, a challenge. Climate …