Abstract
Groundwater resources are a major source of drinking water and increasingly require management to be sustained. Achieving this requires IS (Information Systems) supporting the revelation of contamination information from data obtained via monitoring projects. For effective contamination control, its type, size, structure and degree must be unveiled. Unfortunately, when contamination occurs such holistic information is not readily available from monitoring data. Monitoring groundwater quality is limited to specific locations, namely the monitoring wells. Hence, from limited and fragmented data, contamination information must quickly be implied. This study analyzes alternatives of designing IS to facilitate contamination control from the limited sources of data. For this purpose we analyze the monitoring process and different methodologies for data collection from monitoring wells. We have analyzed the efficiency of the various methods with an aquifer domain comprising a small part of the Coastal Plain Aquifer (CPA) of Israel. The results suggest that systematic sampling approaches are the most efficient for attaining sustainability goals.
Recommended Citation
Rubin, Hillel and Rubin, Eran, "INFORMATION SYSTEMS FACILITATING GROUNDWATER SUSTAINABILITY MANAGEMENT" (2012). AMCIS 2012 Proceedings. 30.
https://aisel.aisnet.org/amcis2012/proceedings/Posters/30
INFORMATION SYSTEMS FACILITATING GROUNDWATER SUSTAINABILITY MANAGEMENT
Groundwater resources are a major source of drinking water and increasingly require management to be sustained. Achieving this requires IS (Information Systems) supporting the revelation of contamination information from data obtained via monitoring projects. For effective contamination control, its type, size, structure and degree must be unveiled. Unfortunately, when contamination occurs such holistic information is not readily available from monitoring data. Monitoring groundwater quality is limited to specific locations, namely the monitoring wells. Hence, from limited and fragmented data, contamination information must quickly be implied. This study analyzes alternatives of designing IS to facilitate contamination control from the limited sources of data. For this purpose we analyze the monitoring process and different methodologies for data collection from monitoring wells. We have analyzed the efficiency of the various methods with an aquifer domain comprising a small part of the Coastal Plain Aquifer (CPA) of Israel. The results suggest that systematic sampling approaches are the most efficient for attaining sustainability goals.