Master of Science in Engineering, Youngstown State University, 2018, Department of Civil/Environmental and Chemical Engineering
The Mentor marsh was the first declared a National Natural Landmark in 1966 and became a nature preserve in 1971 in the State of Ohio. Despite being affected by salt pollution and other physical challenges, it still has a tremendous economic value, and will rise if it is restored. The Marsh was specifically dominated by catastrophic salt pollution due to the development of different human and industrial activities, especially between the late 1950's and late 1970's. The water salinity of the marsh varied from oligosaline (500 to 5,000) mg/L to hypersaline (above 40,000 mg/L) during that period. Salinity is a crucial environmental problem in the Mentor Marsh leading to profound consequences in wetland plants and aquatic habitats; including the rapid development of Phragmites australis in the downstream marshland. These Phragmites australis were very vulnerable to capture fire. While several studies were conducted in the past in the Mentor marsh, hydrologic investigation of the watershed has not been conducted yet, due to the lack of monitoring stations and long-term data records. Since the Mentor marsh watershed is a small ungaged watershed, and data is only being collected for a short duration, the prediction of flow with limited data invites certain degree of uncertainty. Therefore, monitoring stations were established in two small tributaries of Blackbrook Creek and Marsh Creek, for real time data recording of flow stage, water conductivity, water temperature, and atmospheric pressure in hourly mode using Levelogger and Barologger data logging devices. Similarly, the creek cross-section, water velocity and water stage were recorded intermittently with direct field observation to develop a rating curve and generate the continuous streamflow data. The hydrologic model, Soil and Water Assessment Tool (SWAT), was developed using climate data from National Climatic Data Center (NCDC) and Digital Elevation Model (DEM), land cover and soil data from the United States Dep (open full item for complete abstract)
Committee: Suresh Sharma PhD (Advisor); Tony Vercellino PhD (Committee Member); Peter Kimosop PhD (Committee Member)
Subjects: Civil Engineering; Environmental Engineering; Hydrologic Sciences; Hydrology; Water Resource Management