Unearthing the X-Streams: Visualizing Water Contamination

The datasets released for VAST 2018 Mini Challenge 2 pertain to sensor readings capturing chemical concentrations and physical properties from water bodies in the Boonsong Lekagul wildlife preserve. This challenge is in continuation to the VAST 2017 Challenge, where the company Kasios was identified...

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Main Authors: BANDALKUL, Akangsha, SRIVASTAVA, Angad, SHRIDHAR, Kishan Bharadwaj, ONG, Jason Guan Jie, ZHANG, Yanrong
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Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/sis_research/4164
https://ink.library.smu.edu.sg/context/sis_research/article/5143/viewcontent/Unearthing_the_X_Streams_Visualizing_Water_Contamination.pdf
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spelling sg-smu-ink.sis_research-51432021-06-07T06:05:30Z Unearthing the X-Streams: Visualizing Water Contamination BANDALKUL, Akangsha SRIVASTAVA, Angad SHRIDHAR, Kishan Bharadwaj ONG, Jason Guan Jie ZHANG, Yanrong The datasets released for VAST 2018 Mini Challenge 2 pertain to sensor readings capturing chemical concentrations and physical properties from water bodies in the Boonsong Lekagul wildlife preserve. This challenge is in continuation to the VAST 2017 Challenge, where the company Kasios was identified as the culprit in dumping the chemical - Methylosmoline. In the absence of actual chemical measurements in the soil, challenge participants need to visualize chemical contamination based on the proximal water bodies to identify trends of interest. A horizon plot developed helps to narrow down the complete list of 106 chemicals provided to only 7, from where control charts are used to identify change points and periods of abnormal activity. In addition, a sequential sampling strategy to capture differences in chemical patterns along the flow of the river is recommended using a sunburst diagram. 2018-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4164 info:doi/10.1109/VAST.2018.8802504 https://ink.library.smu.edu.sg/context/sis_research/article/5143/viewcontent/Unearthing_the_X_Streams_Visualizing_Water_Contamination.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Hyrdology Visual Analytics Horizon Plot Data Visualization Water contamination Chemical contamination MITB student Computer Sciences Environmental Monitoring Environmental Studies Geographic Information Sciences
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Hyrdology
Visual Analytics
Horizon Plot
Data Visualization
Water contamination
Chemical contamination
MITB student
Computer Sciences
Environmental Monitoring
Environmental Studies
Geographic Information Sciences
spellingShingle Hyrdology
Visual Analytics
Horizon Plot
Data Visualization
Water contamination
Chemical contamination
MITB student
Computer Sciences
Environmental Monitoring
Environmental Studies
Geographic Information Sciences
BANDALKUL, Akangsha
SRIVASTAVA, Angad
SHRIDHAR, Kishan Bharadwaj
ONG, Jason Guan Jie
ZHANG, Yanrong
Unearthing the X-Streams: Visualizing Water Contamination
description The datasets released for VAST 2018 Mini Challenge 2 pertain to sensor readings capturing chemical concentrations and physical properties from water bodies in the Boonsong Lekagul wildlife preserve. This challenge is in continuation to the VAST 2017 Challenge, where the company Kasios was identified as the culprit in dumping the chemical - Methylosmoline. In the absence of actual chemical measurements in the soil, challenge participants need to visualize chemical contamination based on the proximal water bodies to identify trends of interest. A horizon plot developed helps to narrow down the complete list of 106 chemicals provided to only 7, from where control charts are used to identify change points and periods of abnormal activity. In addition, a sequential sampling strategy to capture differences in chemical patterns along the flow of the river is recommended using a sunburst diagram.
format text
author BANDALKUL, Akangsha
SRIVASTAVA, Angad
SHRIDHAR, Kishan Bharadwaj
ONG, Jason Guan Jie
ZHANG, Yanrong
author_facet BANDALKUL, Akangsha
SRIVASTAVA, Angad
SHRIDHAR, Kishan Bharadwaj
ONG, Jason Guan Jie
ZHANG, Yanrong
author_sort BANDALKUL, Akangsha
title Unearthing the X-Streams: Visualizing Water Contamination
title_short Unearthing the X-Streams: Visualizing Water Contamination
title_full Unearthing the X-Streams: Visualizing Water Contamination
title_fullStr Unearthing the X-Streams: Visualizing Water Contamination
title_full_unstemmed Unearthing the X-Streams: Visualizing Water Contamination
title_sort unearthing the x-streams: visualizing water contamination
publisher Institutional Knowledge at Singapore Management University
publishDate 2018
url https://ink.library.smu.edu.sg/sis_research/4164
https://ink.library.smu.edu.sg/context/sis_research/article/5143/viewcontent/Unearthing_the_X_Streams_Visualizing_Water_Contamination.pdf
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