Municipal solid waste disposal sites can be sources of groundwater contamination and the contamination problems are more likely to occur in humid areas, where the moisture available exceeds the ability of the waste pile absorb water. 2-D resistivity imaging has frequently been used in the subsurface pollution studies. The method maps the distribution of resistivity of subsurface materials. The 2-D resistivity image provides general information on subsurface stratification of buried waste and contaminated soil, as well the depth to the bedrock below the lines of traverse. Underground soil or water that has been contaminated by leachate usually has a significantly lower resistivity value. This paper discusses the results of the 2-D resistivity imaging which were conducted to identify and delineate the extent of contaminated soil and leachate plumes, as well as to assess the capability of the 2-D resistivity imaging as a pre-characterization tool for tracing the properties of disposed waste and its severity underneath a capped landfill sites. The surveys were conducted using ABEM SAS1000 resistivity meter and LUND Automatic imaging system and the measured resistivity profiles were interpreted using 2-D resistivity inversion programme (RES2DINV).
📚 Over 50,000 Research Thesis
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Thesis-to-Journal Publication
🎓 Undergraduate/Postgraduate Thesis
📥 Instant Whatsapp/Email Delivery
This research aims to develop a helpful framework that can predict how bacteria that cause infections in hospitals and clinics become resistant to antibiotics. ...
This research focuses on creating a practical framework to guide the design of remote medical rehabilitation programs that are centered around the needs and pre...
This research focuses on developing a clear and practical framework to standardize quality control practices in clinical laboratory testing. Quality control in ...
This research focuses on developing a systematic framework to model the mechanical properties of materials produced through additive manufacturing (AM), also kn...
This research aims to develop a comprehensive framework for understanding and modeling nonlinear dynamics in chaotic systems. Chaotic systems are complex system...
This research focuses on developing a structured way to predict how well aluminum alloy composites resist corrosion, which is a common challenge in many industr...
This research examines how social media influencers affect the way young people engage with politics. In recent years, social media influencers—individuals wi...
This research explores how social media engagement influences customer loyalty, aiming to create a new framework that combines these two areas. Customer loyalty...
This research is focused on understanding how people switch between languages or dialects in everyday conversation, a phenomenon known as code-switching. Specif...