Applications of machine learning to water resources management: A review of present status and future opportunities
Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …
economic development of humans worldwide. Water is used for various purposes, including …
[HTML][HTML] Models and methods for quantifying the environmental, economic, and social benefits and challenges of green infrastructure: A critical review
With growing urbanization and increasing climate change-related concerns, green
infrastructures (GIs) are recognized as promising solutions for mitigating various challenges …
infrastructures (GIs) are recognized as promising solutions for mitigating various challenges …
[HTML][HTML] Predicting the performance of green stormwater infrastructure using multivariate long short-term memory (LSTM) neural network
The expected performance of Green Stormwater Infrastructure (GSI) is typically quantified
through numerical models based on hydrologic parameters and physics-based equations …
through numerical models based on hydrologic parameters and physics-based equations …
Performance, microbial community evolution and neural network modeling of single-stage nitrogen removal by partial-nitritation/anammox process
Single-stage nitrogen removal by anammox/partial-nitritation (SNAP) process was proposed
and explored in a packed-bed-EGSB reactor to treat nitrogen-rich wastewater. With …
and explored in a packed-bed-EGSB reactor to treat nitrogen-rich wastewater. With …
Fungal biosynthesis of lignin-modifying enzymes from pulp wash and Luffa cylindrica for azo dye RB5 biodecolorization using modeling by response surface …
CD Fernandes, VRS Nascimento, DB Meneses… - Journal of hazardous …, 2020 - Elsevier
This study demonstrates the evaluation between the artificial neural network technique
coupled to the genetic algorithm (ANN-GA) and the response surface methodology (RSM) …
coupled to the genetic algorithm (ANN-GA) and the response surface methodology (RSM) …
Removal of methylene blue via bioinspired catecholamine/starch superadsorbent and the efficiency prediction by response surface methodology and artificial neural …
N Mahmoodi-Babolan, A Heydari… - Bioresource …, 2019 - Elsevier
This paper demonstrates coupling of the artificial neural network (ANN) technique with the
particle swarm optimization (PSO) method and compares the performance of ANN-PSO with …
particle swarm optimization (PSO) method and compares the performance of ANN-PSO with …
[HTML][HTML] Evaluating different machine learning methods to simulate runoff from extensive green roofs
Green roofs are increasingly popular measures to permanently reduce or delay storm-water
runoff. The main objective of the study was to examine the potential of using machine …
runoff. The main objective of the study was to examine the potential of using machine …
New input selection procedure for machine learning methods in estimating daily global solar radiation
Selection of optimal model inputs is a challenging issue particularly for non-linear and
dynamic systems. In this study, a new input selection method, procrustes analysis (PA), was …
dynamic systems. In this study, a new input selection method, procrustes analysis (PA), was …
[HTML][HTML] Modeling and interpreting hydrological responses of sustainable urban drainage systems with explainable machine learning methods
Sustainable urban drainage systems (SuDS) are decentralized stormwater management
practices that mimic natural drainage processes. The hydrological processes of SuDS are …
practices that mimic natural drainage processes. The hydrological processes of SuDS are …
Stormwater runoff reduction benefits of distributed curbside infiltration devices in an urban catchment
Distributed infiltration systems can benefit downstream water bodies by reducing the runoff
flowrate and volume discharges from the catchment. Investigating their runoff flowrate and …
flowrate and volume discharges from the catchment. Investigating their runoff flowrate and …