WaterQuality 2.1

WaterQuality 2.1

Stroud Water Research Center  ❘ Commercial
iOS
Latest Version
2.1
Safe to install
EXCELLENT User Rating

The Water Quality Mobile App serves as a valuable tool for educational and scientific research purposes, providing a platform free from intrusive advertisements. It facilitates the recording of stream study data across a broad range of parameters, enabling users of all ages to engage with water quality monitoring and to enhance their understanding through interactive learning pop-ups.

Data recording options include general reports and specific documentation within the Leaf Pack Network framework. The app captures comprehensive site information such as geographic coordinates, site profile details, water chemistry parameters, physical stream characteristics, and aquatic macroinvertebrate data. The macroinvertebrate section functions as an integrated field guide, featuring identification resources for twenty-two major taxa used in pollution tolerance assessments. This includes images, sketches, short videos, and descriptive information to aid accurate identification.

Designed for use in the field, the app operates effectively without WiFi or cellular connectivity. Upon returning to a network environment, users can export their data as printed reports or share via email, facilitating seamless documentation and communication of findings.

Overview

WaterQuality is a Commercial software in the category Education developed by Stroud Water Research Center.

The latest version of WaterQuality is 2.1, released on 06/21/2025. It was initially added to our database on 06/21/2025.

WaterQuality runs on the following operating systems: iOS.

Users of WaterQuality gave it a rating of 5 out of 5 stars.

Pros

  • Provides comprehensive data and analysis on water quality.
  • Supports research and education initiatives.
  • Utilizes advanced monitoring technology.
  • Contributes to environmental conservation efforts.
  • Offers user-friendly interface for data visualization.

Cons

  • May require specialized knowledge to interpret complex data.
  • Potentially high cost for detailed analyses.
  • Limited accessibility for non-academic users.
  • Dependence on continuous data input and updates.
  • Possible limitations in real-time data availability.

Screenshots (Click to view larger)

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