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Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
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YouTube as a crowd-generated water level archive.

N Michelsen1, H Dirks2, S Schulz3

  • 1Technische Universität Darmstadt, Institute for Applied Geosciences, Darmstadt, Germany.

The Science of the Total Environment
|June 14, 2016
PubMed
Summary
This summary is machine-generated.

Social media mining, specifically YouTube video analysis, offers a novel method for tracking water levels. This participatory approach can provide valuable hydrological data for water resource management in data-scarce regions.

Keywords:
Citizen scienceCrowdsourcingDahl HithParticipatorySaudi ArabiaSocial media mining

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Area of Science:

  • Hydrology
  • Environmental Science
  • Remote Sensing

Background:

  • Traditional water level monitoring networks are costly.
  • Participatory data collection, including social media mining, offers a cost-effective alternative.
  • Crowd-generated data from social media can supplement traditional monitoring efforts.

Purpose of the Study:

  • To investigate the feasibility of deriving water level time series from YouTube videos.
  • To analyze water level changes in Dahl Hith cave, Saudi Arabia.
  • To assess the potential of social media mining for hydrological data collection.

Main Methods:

  • Screening 16 YouTube videos for reference points (e.g., cave graffiti).
  • Estimating water level changes relative to reference points over time.
  • Supplementing video data with site visit photos to bridge data gaps.

Main Results:

  • An estimated water level rise of 9.5m in Dahl Hith cave between 2013-2014.
  • A consistent rise rate of approximately 0.4m/month, suggesting a new permanent water source.
  • An anomalous rise rate of 1.3m/month in autumn 2013, coinciding with rainfall, indicating rapid groundwater recharge.

Conclusions:

  • YouTube video analysis is a viable method for historical water level estimation in data-scarce areas.
  • This approach can be adapted for monitoring other environmental parameters, such as flood extents.
  • Social media mining can serve as a valuable supplementary tool for hydrological monitoring and water resource management.