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Wastewater treatment facilities around the world use significant amount of energy which contributes to large quantities of greenhouse gas (GHG) emissions. According to the U.S.EPA, nearly 3% of the USA's energy is used to treat wastewater. This consumption is increasing at faster rates with increase in population and regulations. Wastewater facilities use large number of pumps in their transfer stations, treatment plants, and effluent pump stations. All these pumps consume considerable amounts of energy. This study presents a preliminary energy inspection of two facilities from Louisiana. This audit provides an inventory of the energy consumed for various activities like pumping, treatment, and discharge. This analysis helps the operators to identify the potential power consuming areas and optimize by adopting several energy conservation measures (ECMs). This study also involves the quantification of GHG emissions based on the energy consumption. The benefits of the study include minimizing energy and GHG emission.

<div>Agricultural headwater streams in the Midwestern United States are subject to contaminants from fields, increased sedimentation, and degradation of natural habitat. Previous research has shown that physical instream habitat degradation better explained variation in fish community structure than water chemistry. However, these studies did not include total suspended solids (TSS), which are considered a major freshwater contaminant. The objective of this study is to determine whether total suspended solids better explains fish community structure than other variables in agricultural headwater streams. Mixed linear effects modeling was used to determine the set of independent variables that best predicts each of the fish response variables of species richness, Shannon diversity index, fish density, and index of biotic integrity. Standardized coefficients were used to determine which independent variable in each of the models had the largest influence on fish response metrics. The set of independent variables that best explained species richness were mean total suspended solids, imidacloprid, discharge, and substrate richness. Shannon diversity index was explained best by the combination of maximum total suspended solids, mean total suspended solids, atrazine, total nitrogen, and discharge. Fish density was explained best by the percentage of silt and clay, dissolved oxygen, the percentage of canopy cover, cover type richness, and discharge. IBI was explained best by the combination of the percentage of silt and clay, total phosphorus, mean total suspended solids, and dissolved oxygen. Total suspended solids was the most influential independent variable for fish species richness and Shannon diversity, however the percentage of silt and clay in benthic sediments was the most influential independent variable for fish density and IBI. Results also indicate discharge and total phosphorus as being influential to fish community metrics. The results from this study suggest that models containing a combination of different types of independent variables best explain fish community structure. This study supports the use of conservation and restoration practices that reduce total suspended solids and the amount of silt and clay present in bed sediments to increase fish community integrity of agricultural headwater streams of the Midwestern United States.</div>

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MPH / Department of Public Health / See the attached abstract below