Nonlinear Robust PLS Modeling of Wastewater Effluent Quality Indices

KPCA and ELM ensemble modeling of wastewater effluent quality indices

Reliable measurements of effluent quality are important for different operational tasks such as process monitoring, online simulation, and advanced control in the wastewater treatment process (WWTP). A kernel principal component analysis (KPCA) and extreme learning machine (ELM) based ensemble soft sensing model for effluent quality prediction was proposed. KPCA was used to extract nonlinear fe...

Evaluation of the microbiological quality of wastewater effluent-irrigated maize

Background and Aim: Water crisis in many regions of the world especially arid and semi-arid areas such as Iran, is an important obstacle for socioeconomic development and food security. Under such circumstances, wastewater reuse in agriculture can be regarded an important alternative water source. However, treated wastewater may contain some types of pathogenic microorganisms which can threaten...

studying effluent quality of wastewater treatment plant

normal 0 false false false en-us x-none fa background: nowadays wastewater is one of the important sources of environmental pollutions and   one of the aims of wastewater treatment is to maintain a healthy environment. nonstandard wastewater discharges and their use in agriculture or discharge to surface water will follow environmental and health hazards. the aim of this study was to compare th...

Some Remarks on Nonlinear Relationships in Pls Path Modeling

Structural Equation Models (SEMs) are widely used to model complex causal relationships, especially in economic and social domains. In this framework, PLS Path Modeling algorithm is a widely used technique. However, PLS Path Modeling assumes linear relationships among the latent concepts, and between the observed variables and the corresponding latent variables. Recent studies in marketing rese...

Characteristics of Effluent Organic Matter in Wastewater