Research on particle swarm optimization in LSTM neural networks for rainfall-runoff simulation

Y Xu, C Hu, Q Wu, S Jian, Z Li, Y Chen, G Zhang… - Journal of …, 2022 - Elsevier
Flood forecasting is an essential non-engineering measure for flood prevention and disaster
reduction. Many models have been developed to study the complex and highly random …

Predicting standardized streamflow index for hydrological drought using machine learning models

S Shamshirband, S Hashemi, H Salimi… - Engineering …, 2020 - Taylor & Francis
Hydrological droughts are characterized based on their duration, severity, and magnitude.
Among the most critical factors, precipitation, evapotranspiration, and runoff are essential in …

ALBA: A comprehensive growth model to optimize algae-bacteria wastewater treatment in raceway ponds

F Casagli, G Zuccaro, O Bernard, JP Steyer, E Ficara - Water Research, 2021 - Elsevier
This paper proposes a new model describing the algae-bacteria ecosystem evolution in an
outdoor raceway for wastewater treatment. The ALBA model is based on mass balances of …

[HTML][HTML] Application of a hybrid mechanistic/machine learning model for prediction of nitrous oxide (N2O) production in a nitrifying sequencing batch reactor

MJ Mehrani, F Bagherzadeh, M Zheng, P Kowal… - Process Safety and …, 2022 - Elsevier
Nitrous oxide (N 2 O) is a key parameter for evaluating the greenhouse gas emissions from
wastewater treatment plants. In this study, a new method for predicting liquid N 2 O …

Comparative study on the removal of humic acids from drinking water by anodic oxidation and electro-Fenton processes: mineralization efficiency and modelling

C Trellu, Y Péchaud, N Oturan, E Mousset… - Applied Catalysis B …, 2016 - Elsevier
The management of natural organic matter in drinking water treatment plants is an important
matter of concern. It can generate toxic disinfection by-products as well as decrease the …

[HTML][HTML] How to keep it adequate: A protocol for ensuring validity in agent-based simulation

C Troost, R Huber, AR Bell, H van Delden… - … Modelling & Software, 2023 - Elsevier
There has so far been no shared understanding of validity in agent-based simulation. We
here conceptualise validation as systematically substantiating the premises on which …

Balancing microalgae and nitrifiers for wastewater treatment: can inorganic carbon limitation cause an environmental threat?

F Casagli, S Rossi, JP Steyer, O Bernard… - … science & technology, 2021 - ACS Publications
The first objective of this study is to assess the predictive capability of the ALBA (ALgae-
BActeria) model for a pilot-scale (3.8 m2) high-rate algae-bacteria pond treating agricultural …

A life cycle impact assessment method for freshwater eutrophication due to the transport of phosphorus from agricultural production

E Ortiz-Reyes, RP Anex - Journal of Cleaner Production, 2018 - Elsevier
In life cycle assessment (LCA), the freshwater eutrophication potential (EP) of agricultural
systems is difficult to assess. In common practice, the EP is assessed using release factors …

Understanding and managing the interactions of impacts from nature-based recreation and climate change

CA Monz, KJ Gutzwiller, VH Hausner, MW Brunson… - Ambio, 2021 - Springer
Disturbance to ecosystems in parks and protected areas from nature-based tourism and
recreation is increasing in scale and severity, as are the impacts of climate change—but …

Assessing machine learning models for streamflow estimation: a case study in Oued Sebaou watershed (Northern Algeria)

Z Abda, B Zerouali, M Chettih… - Hydrological …, 2022 - Taylor & Francis
This paper proposes runoff models based on machine learning to estimate daily streamflows
in Oued Sebaou watershed, a Mediterranean coastal basin located in northern Algeria …