[HTML][HTML] State of the art in modelling of phosphorus in aquatic systems: review, criticisms and commentary
BJ Robson - Environmental Modelling & Software, 2014 - Elsevier
This systematic review considers how water quality and aquatic ecology models represent
the phosphorus cycle. Although the focus is on phosphorus, many of the observations and …
the phosphorus cycle. Although the focus is on phosphorus, many of the observations and …
[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 …
Advancements in machine learning for spatiotemporal urban on-road traffic-air quality study: a review
Z Du, H Li, S Chen, X Zhang, L Zhang, Y Liu - Atmospheric Environment, 2025 - Elsevier
Urban traffic that is heterogeneous significantly impacts on urban air quality in both temporal
and spatial scale, while traditional dispersion models struggle to assess it at high temporal …
and spatial scale, while traditional dispersion models struggle to assess it at high temporal …
Emulation of leaf, canopy and atmosphere radiative transfer models for fast global sensitivity analysis
Physically-based radiative transfer models (RTMs) help understand the interactions of
radiation with vegetation and atmosphere. However, advanced RTMs can be …
radiation with vegetation and atmosphere. However, advanced RTMs can be …
An integrated assessment tool to define effective air quality policies at regional scale
In this paper, the Integrated Assessment of air quality is dealt with at regional scale. First the
paper describes the main challenges to tackle current air pollution control, including …
paper describes the main challenges to tackle current air pollution control, including …
Emulation techniques for the reduction and sensitivity analysis of complex environmental models
M Ratto, A Castelletti, A Pagano - Environmental Modelling & Software, 2012 - Elsevier
Emulation (also denoted as metamodelling in the literature) is an important and expanding
area of research and represents one of the major advances in the study of complex …
area of research and represents one of the major advances in the study of complex …
Surrogate-based multi-objective optimization of management options for agricultural landscapes using artificial neural networks
We demonstrate the use of a surrogate-based optimization framework for large-scale and
high-resolution landscape management optimization, using irrigated corn production …
high-resolution landscape management optimization, using irrigated corn production …
Using task farming to optimise a street-scale resolution air quality model of the west midlands (UK)
High resolution air quality models combining emissions, chemical processes, dispersion
and dynamical treatments are necessary to develop effective policies for clean air in urban …
and dynamical treatments are necessary to develop effective policies for clean air in urban …
Comparison of machine learning algorithms for emulation of a gridded hydrological model given spatially explicit inputs
T Lim, K Wang - Computers & Geosciences, 2022 - Elsevier
This study compares the performance of several machine learning algorithms in reproducing
the spatial and temporal outputs of the process-based, hydrological model, ParFlow. CLM …
the spatial and temporal outputs of the process-based, hydrological model, ParFlow. CLM …
Including stakeholder input in formulating and solving real-world optimisation problems: Generic framework and case study
Multi-objective evolutionary algorithms (MOEAs) are becoming increasingly popular for
solving formal environmental and water resources optimisation problems. In the past, the …
solving formal environmental and water resources optimisation problems. In the past, the …