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Engineering Commons

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Theses/Dissertations

Civil Engineering

Cleveland State University

2017

Articles 1 - 4 of 4

Full-Text Articles in Engineering

Forecasting Harmful Algal Blooms For Western Lake Erie Using Data Driven Machine Learning Techniques, Nicholas L. Reinoso Jan 2017

Forecasting Harmful Algal Blooms For Western Lake Erie Using Data Driven Machine Learning Techniques, Nicholas L. Reinoso

ETD Archive

Harmful algal blooms (HAB) have been documented for more than a century occurring all over the world. The western Lake Erie has suffered from Cyanobacteria blooms for many decades. There are currently two widely available HAB forecasting models for Lake Erie. The first forecasting model gives yearly peak bloom forecast while the second provides weekly short-term forecasting and offers size as well as location. This study focuses on bridging the gap of these two models and improve HAB forecast accuracy in western Lake Erie by letting historical observations tell the behavior of HABs. This study tests two machine learning techniques, …


Modeling The Effect Of Green Infrastructure On Direct Runoff Reduction In Residential Areas, Seema Bardhipur Jan 2017

Modeling The Effect Of Green Infrastructure On Direct Runoff Reduction In Residential Areas, Seema Bardhipur

ETD Archive

Urbanization causes a serious impact on storm water systems by expansion of impervious surfaces. Low Impact Development (LID) is a technique growing in popularity to solve the issue of storm water management. However, to evaluate the benefits of LIDs is a difficult task due to realistic parametrization of LIDs and subcatchments for modeling. The goals of this study are: a) to provide a practical guideline to parameterize and simulate LIDs (bio-retention and rain barrels) in residential areas; and b) to evaluate the resulting effect on the current drainage system under various design storms. U.S. Environmental Protection Agency’s Storm Water Management …


Harmful Algae Bloom Prediction Model For Western Lake Erie Using Stepwise Multiple Regression And Genetic Programming, Amin Daghighi Jan 2017

Harmful Algae Bloom Prediction Model For Western Lake Erie Using Stepwise Multiple Regression And Genetic Programming, Amin Daghighi

ETD Archive

The Great Lakes are most important freshwater bodies providing water resources and other various related businesses to the northeastern part of North America. However, harmful algal blooms (HABs) are more often and severe in those lakes than before and thus threatening lake environments and economies. Researchers have studied the factors influencing HABs characteristics using different scientific methods. In this study, all possible predictors and predictand variables were collected from various data source and then eight final predictors and one predictand were selected based on correlation between predictors and predictand variables. This study tests two machine learning techniques, Stepwise Multiple Regression …


Electrochemical And Electroflotation Processes For Milk Waste Water Treatment, Alahmand Suleiman Mohammed Jan 2017

Electrochemical And Electroflotation Processes For Milk Waste Water Treatment, Alahmand Suleiman Mohammed

ETD Archive

The dairy industry generates abundant milk waste waters characterized by high biochemical oxygen demand (BOD) and chemical oxygen demand (COD) concentrations that can be very harmful to the environment, if left untreated. Electrocoagulation (EC) has been in use for waste water treatment. The treatment application uses aluminum electrodes and iron or the combined hybrid Al/Fe electrodes. Milk waste water contains high concentration organic pollutants and the main constituents of those organics are carbohydrates, proteins and fats, originating from the milk. The process of separating the flocculated sludge from waste water that has been treated using the electrocoagulation process can be …