Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Physical Sciences and Mathematics
Characterizing Subsurface Void Spaces And Water Distribution And Flow Patterns In Cave Hill Karst Using Resistivity, Jacob A. Gochenour
Characterizing Subsurface Void Spaces And Water Distribution And Flow Patterns In Cave Hill Karst Using Resistivity, Jacob A. Gochenour
Senior Honors Projects, 2010-2019
Describing the distribution of groundwater is essential in understanding the evolution of geomorphologic features in karst topography. Electrical resistivity allows us to find a model of subsurface distribution of resistivity that enables the visual recognition of groundwater and void spaces. The purpose of this research is to implement electrical resistivity to describe the spatial relationship of groundwater and karstic features at Grand Caverns National Natural Landmark, Grottoes, Virginia. Two locations of interest, a karstic swale and sinkhole area, were identified for the deployment of electrical resistivity. Both, dipole-dipole and Schlumberger arrays were collected for each deployment. A total of ten …
Assessment Of Metal-Metalloid Content Using Geostatistical Methods In Groundwater Of Karabağlar Polje (Muğla, Turkey), Bedri Kurtuluş, Çağdaş Sağir, Özgür Avşar
Assessment Of Metal-Metalloid Content Using Geostatistical Methods In Groundwater Of Karabağlar Polje (Muğla, Turkey), Bedri Kurtuluş, Çağdaş Sağir, Özgür Avşar
Bulletin of the Mineral Research and Exploration
In this research, heavy metals (Ti, Cr, Mn, Fe, Co, Ni, Cu, Zn, Mo, Cd, Ba, Pb) and metalloids (As) which were sampled from 84 wells used as drinking water and irrigation water resources in Karabaglar Karstic Polje (Mugla, Turkey) were analyzed. The results were evaluated by different statistical methods in order to investigate the interaction between elements. Ti, Mn, Fe, Zn, Mo and Pb were detected in many wells. According to the results, As and Cu has the strongest correlation (R=0.832). As-Ni (R=0.789) and Cu-Ni (R=0.776) are the other strong correlations. The relationship between these elements were also shown …