4.6 Article

Predicting Influent and Effluent Quality Parameters for a UASB-Based Wastewater Treatment Plant in Asia Covering Data Variations during COVID-19: A Machine Learning Approach

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Environmental Sciences

Influent Quality and Quantity Prediction in Wastewater Treatment Plant: Model Construction and Evaluation

Rui Wang et al.

Summary: The study established prediction models for influent quality and quantity based on machine learning methods, and evaluated them using historical data. Results showed varying accuracy levels for different methods in predicting influent quality and quantity. Suggestions for improving the models were also proposed to enhance prediction accuracy.

POLISH JOURNAL OF ENVIRONMENTAL STUDIES (2021)

Review Engineering, Environmental

Data-driven performance analyses of wastewater treatment plants: A review

Kathryn B. Newhart et al.

WATER RESEARCH (2019)

Article Statistics & Probability

A random forest guided tour

Gerard Biau et al.

Article Statistics & Probability

A random forest guided tour

Gerard Biau et al.

Article Environmental Sciences

Prediction of effluent concentration in a wastewater treatment plant using machine learning models

Hong Guo et al.

JOURNAL OF ENVIRONMENTAL SCIENCES (2015)

Article Meteorology & Atmospheric Sciences

Long-term runoff study using SARIMA and ARIMA models in the United States

Mohammad Valipour

METEOROLOGICAL APPLICATIONS (2015)

Article Computer Science, Theory & Methods

Optimizing Latin hypercube designs by particle swarm

Ray-Bing Chen et al.

STATISTICS AND COMPUTING (2013)

Article Computer Science, Artificial Intelligence

Gradient boosting machines, a tutorial

Alexey Natekin et al.

FRONTIERS IN NEUROROBOTICS (2013)

Article Water Resources

A study of the effectiveness of sewage treatment plants in Delhi region

Sandeep Kumar Gautam et al.

APPLIED WATER SCIENCE (2013)

Article Engineering, Environmental

Wastewater quality monitoring system using sensor fusion and machine learning techniques

Xusong Qin et al.

WATER RESEARCH (2012)

Article Statistics & Probability

Ridge regression

Gary C. McDonald

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS (2009)

Review Environmental Sciences

Human health risk assessment for aluminium, aluminium oxide, and aluminium hydroxide

Daniel Krewski et al.

JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH-PART B-CRITICAL REVIEWS (2007)

Article Engineering, Civil

Evaluation of the Nash-Sutcliffe efficiency index

Richard H. McCuen et al.

JOURNAL OF HYDROLOGIC ENGINEERING (2006)

Article Statistics & Probability

Regularization and variable selection via the elastic net

H Zou et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)

Article Management

An ARIMA supply chain model

K Gilbert

MANAGEMENT SCIENCE (2005)

Article Computer Science, Interdisciplinary Applications

Activated sludge wastewater treatment plant modelling and simulation: state of the art

KV Gernaey et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2004)

Article Engineering, Environmental

Neural network modelling of Cryptosporidium and Giardia concentrations in the Delaware River, USA

TR Neelakantan et al.

WATER SCIENCE AND TECHNOLOGY (2001)

Review Computer Science, Interdisciplinary Applications

Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications

HR Maier et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2000)