\"An integrated research approach was conducted to evaluate subsurface karstic conditions in Greene County, southwestern Missouri. Electrical resistivity tomography (ERT) was employed to image anomalously low resistivity zones associated with the presence of seepage pathways that were anthropogenic and/or natural in origin. Techniques including visual inspection (VI), multichannel analysis of surface waves (MASW), borehole control (BC), and aerial imagery (AI) were supplementally used to constrain the ERT data interpretations.
This research addressed six objectives. First, the ERT data interpretations were verified in terms of depth to the top of bedrock, fractures/voids, and moisture changes using the MASW, borehole control, and visual inspection. Second, the ERT imaged anomalously low resistivity zones likely created by the high moisture content and/or piping of fine-grained sediments in proximity to natural or anthropogenic activities. Third, surface and subsurface water flow pathways were mapped using elevation models extracted from ERT data. Fourth, the ERT imaged a sinkhole that was developed at an intersection zone of two probable solution-widened joint sets in proximity to a roadway. Fifth, prominent anthropogenically and/or naturally caused anomalies appearing on the ERT profiles were correlated with their corresponding triggering activities using the aerial images. Sixth, an attempt was made to distinguish the associated resistivity anomalies of either natural or anthropogenic origin based on various attributes extracted from the ERT data such as depth, shape, lowest resistivity value, and distance to inducing activity\"--Abstract, p. iii
","abstract_html":"<p>"An integrated research approach was conducted to evaluate subsurface karstic conditions in Greene County, southwestern Missouri. Electrical resistivity tomography (ERT) was employed to image anomalously low resistivity zones associated with the presence of seepage pathways that were anthropogenic and/or natural in origin. Techniques including visual inspection (VI), multichannel analysis of surface waves (MASW), borehole control (BC), and aerial imagery (AI) were supplementally used to constrain the ERT data interpretations.</p> <p>This research addressed six objectives. First, the ERT data interpretations were verified in terms of depth to the top of bedrock, fractures/voids, and moisture changes using the MASW, borehole control, and visual inspection. Second, the ERT imaged anomalously low resistivity zones likely created by the high moisture content and/or piping of fine-grained sediments in proximity to natural or anthropogenic activities. Third, surface and subsurface water flow pathways were mapped using elevation models extracted from ERT data. Fourth, the ERT imaged a sinkhole that was developed at an intersection zone of two probable solution-widened joint sets in proximity to a roadway. Fifth, prominent anthropogenically and/or naturally caused anomalies appearing on the ERT profiles were correlated with their corresponding triggering activities using the aerial images. Sixth, an attempt was made to distinguish the associated resistivity anomalies of either natural or anthropogenic origin based on various attributes extracted from the ERT data such as depth, shape, lowest resistivity value, and distance to inducing activity"--Abstract, p. iii</p>","abstract_has_math":false,"creators":["Alhaj, Abdullah Hadi Zaid"],"institution":"Missouri University of Science and Technology","degree_name":"Ph. D. in Geological Engineering","degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T03:18:18Z","subjects":["ERT","Geophysical Investigation","Karst Terrain","MASW","Resistivity Imaging","Seepage Pathways","Engineering","Geological Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarsmine.mst.edu/doctoral_dissertations/3247","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Alhaj, Abdullah Hadi Zaid"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:type","label":"Dc Type","values":["Dissertation - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph. D. in Geological Engineering"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Missouri University of Science and Technology"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["ERT","Geophysical Investigation","Karst Terrain","MASW","Resistivity Imaging","Seepage Pathways","Engineering","Geological Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarsmine.mst.edu/doctoral_dissertations/3247"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["\"An integrated research approach was conducted to evaluate subsurface karstic conditions in Greene County, southwestern Missouri. Electrical resistivity tomography (ERT) was employed to image anomalously low resistivity zones associated with the presence of seepage pathways that were anthropogenic and/or natural in origin. Techniques including visual inspection (VI), multichannel analysis of surface waves (MASW), borehole control (BC), and aerial imagery (AI) were supplementally used to constrain the ERT data interpretations.
This research addressed six objectives. First, the ERT data interpretations were verified in terms of depth to the top of bedrock, fractures/voids, and moisture changes using the MASW, borehole control, and visual inspection. Second, the ERT imaged anomalously low resistivity zones likely created by the high moisture content and/or piping of fine-grained sediments in proximity to natural or anthropogenic activities. Third, surface and subsurface water flow pathways were mapped using elevation models extracted from ERT data. Fourth, the ERT imaged a sinkhole that was developed at an intersection zone of two probable solution-widened joint sets in proximity to a roadway. Fifth, prominent anthropogenically and/or naturally caused anomalies appearing on the ERT profiles were correlated with their corresponding triggering activities using the aerial images. Sixth, an attempt was made to distinguish the associated resistivity anomalies of either natural or anthropogenic origin based on various attributes extracted from the ERT data such as depth, shape, lowest resistivity value, and distance to inducing activity\"--Abstract, p. iii
"]},{"key":"dc:title","label":"Title","values":["RESISTIVITY IMAGING OF PROMINENT SEEPAGE PATHWAYS IN KARST TERRAIN"]}]}],"canonical_facts":{"dc:creator":["Alhaj, Abdullah Hadi Zaid"],"dc:description.abstract":["\"An integrated research approach was conducted to evaluate subsurface karstic conditions in Greene County, southwestern Missouri. Electrical resistivity tomography (ERT) was employed to image anomalously low resistivity zones associated with the presence of seepage pathways that were anthropogenic and/or natural in origin. Techniques including visual inspection (VI), multichannel analysis of surface waves (MASW), borehole control (BC), and aerial imagery (AI) were supplementally used to constrain the ERT data interpretations.
This research addressed six objectives. First, the ERT data interpretations were verified in terms of depth to the top of bedrock, fractures/voids, and moisture changes using the MASW, borehole control, and visual inspection. Second, the ERT imaged anomalously low resistivity zones likely created by the high moisture content and/or piping of fine-grained sediments in proximity to natural or anthropogenic activities. Third, surface and subsurface water flow pathways were mapped using elevation models extracted from ERT data. Fourth, the ERT imaged a sinkhole that was developed at an intersection zone of two probable solution-widened joint sets in proximity to a roadway. Fifth, prominent anthropogenically and/or naturally caused anomalies appearing on the ERT profiles were correlated with their corresponding triggering activities using the aerial images. Sixth, an attempt was made to distinguish the associated resistivity anomalies of either natural or anthropogenic origin based on various attributes extracted from the ERT data such as depth, shape, lowest resistivity value, and distance to inducing activity\"--Abstract, p. iii
"],"dc:identifier":["https://scholarsmine.mst.edu/doctoral_dissertations/3247"],"dc:subject":["ERT","Geophysical Investigation","Karst Terrain","MASW","Resistivity Imaging","Seepage Pathways","Engineering","Geological Engineering"],"dc:title":["RESISTIVITY IMAGING OF PROMINENT SEEPAGE PATHWAYS IN KARST TERRAIN"],"dc:type":["Dissertation - Open Access"],"thesis:degree_name":["Ph. D. in Geological Engineering"],"thesis:institution_name":["Missouri University of Science and Technology"]},"updated_at":"2026-07-24T03:18:18Z"}