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Web‐based automated remediation performance monitoring and visualization of contaminant mass flux and discharge
Author(s) -
Kram Mark L.,
Airhart Steve,
Tyler Daniel,
Dindal Amy,
Barton Andrew,
McKernan John L.,
Gustafson Gregg
Publication year - 2011
Publication title -
remediation journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.762
H-Index - 27
eISSN - 1520-6831
pISSN - 1051-5658
DOI - 10.1002/rem.20291
Subject(s) - visualization , environmental science , aquifer , computer science , environmental remediation , environmental monitoring , resource (disambiguation) , groundwater , real time computing , database , data mining , contamination , engineering , environmental engineering , ecology , computer network , geotechnical engineering , biology
Environmental monitoring, data processing, and reporting methods are expensive, labor‐ and resource‐intensive, time‐consuming, and often inaccurate. An innovative project management platform was developed for integrating environmental monitoring sensors, telemetry, geographical information systems, models, and geostatistical algorithms for automatically generating contour maps and time‐stamped renderings of sensor attributes and multivariate analyses. More specifically, algorithms converting sensor‐derived head and solute concentration values allow for automated monitoring of mass flux and discharge to evaluate groundwater remediation system performance and contaminant discharges from aquifers to surface‐water receptors. Life‐cycle costs and carbon footprints were reduced due to the elimination of energy and labor expenditures associated with transportation, data collection, laboratory efforts, report generation, and information dissemination. A brief summary of two demonstrations of this sensor‐based water resources management application is presented. © 2011 Wiley Periodicals, Inc.