Master of Science in Engineering, Youngstown State University, 2023, Department of Civil/Environmental and Chemical Engineering
This study spatio-temporally evaluates the water quality parameters of the lower Mahoning River for the years 2012-2015. Furthermore, the effects of precipitation and land use on the river water quality were studied. Principal component was performed on the water quality parameters (DO, pH, TDS, TSS, Cl-, SO42-) and heavy metals (As, Ba, Cd, Cu, Fe, Pb, Mn, Ni, Se, Zn) of the lower Mahoning River. The first three components explained 83.7% of the variance in the dataset. PC1 (46.2%) indicated that TDS, Cl-, SO42-, Ni, Mn, Cu, and Zn influenced the river's water quality possibly suggesting a mixed source genesis including lithological, and land use pattern. PC2 (26.0%) is marked by high loadings for TSS and Fe which could indicate that the genesis of Fe is through surface runoffs as confirmed by high TSS. The first 3 principal components were then transformed into composite scores and extrapolated using the inverse distance weighted technique to analyze the relative water quality in spatial domain. The inverse distance weighted maps of the composite scores show that in 2012 to 2015, the water quality degrades as it flows downstream. However, the water quality improved downstream of the last stretch of the river. The patterns in water quality could be connected to the land use patterns. The lower Mahoning River is more urbanized in the downstream than the upstream, except for the last stretch of the downstream of the river where the area is more forested and comparatively less urbanized. A group wise comparison was made to understand the association between heavy metal concentrations and precipitation levels. In the upstream region, TSS (0.64) and Cu (0.64) were highly correlated with rainfall. TDS (- 0.57) showed a highly negative correlation with rainfall events which is indicative of the fact that rainfall could act as dual characteristics i.e., contributing in TSS and Cu concentration and decrease TDS through dilution. In downstream region, a strong correlation ex (open full item for complete abstract)
Committee: Sahar Ehsani PhD (Advisor); Felicia Armstrong PhD (Committee Member); Richard Deschenes PhD (Committee Member); Izrar Ahmad PhD (Committee Member)
Subjects: Civil Engineering; Environmental Engineering