Blue Water - Data Insights for Water Management     


Blue Water - Data Insights for Water Management - overview


Technical Lead: Biplav Srivastava
Collaborators over the years: Sandeep S. Sandha (IBM and UCLA), Sukanya Randhawa, Shivkumar Kalyanraman, Hendrik Hamann, Jaikrishnan Hari, Jason Ellis, Kush Varshney.
External Collaborators: Prof. Supratik Guha (Univ of Chicago); Prof. Vaskar Raychoudhury (IIT Roorkee); Prof. Mani Srivastava (UCLA); Prof. M. Tambe (USC); CSE, India
Availability: WaterWatch app (open source); GangaWatch app (India only). Water Advisor multi-modal chatbot.

Water is life. Our work has been around leveraging all (old and new) water quality data, putting it on cutting-edge middleware for holistic analysis regardless of their source, finding insights that people may use and validating them in live environment. To get more details or get involved, contact us at:

We have used our methodology in Indian context on Ganga (Feb-April 2016), Yamuna (Dec 2015) and Hindon (Sep 2015) to explore use-cases in tourism, agriculture and industrial pollution, in collaboration with external universities (IIT Roorkee and USC, USA) and non-profits (2030 Water Resources Group). If a research or non-profit group is interested to try new use-cases, reuse existing data and collect new, we are particularly interested.
We have also extended our methods to US context for Flint, Michigan and Hudson River Valley, USA (2017).



We gave a tutorial, titled AI for Data-Driven Decisions in Water Management, at the premier AAAI conference in Feb 2017 at San Francisco, CA, USA. See announcement:; the tutorial site is here:

Apps / tools

  1. Water Advisor. A chat based advisor to taking decisions related to water taking into account water pollution.  Demo video (Sep 2017)
  2. Water watch app. (Google play store, code on Github, demo Video). (Sep 2017)
  3. GangaWatch app for water pollution information on Google playstore. See video and description in a blog.(Jan 2016)
  4. Neer Bandhu (Water Friend) app on Google playstore. See description here in the blog.(Nov 2015)
  5. CreekWatch app for Apple devices by IBM Research, our predecessor and akin to Neer Bandhu. See site. (2010-)


  1. [March 2018,  Opflow India] Leverage the Power of Data and Artificial Intelligence for Smarter Water Quality Management, by Bihu Suchetana 


  1. Environmental Decision Support in the Presence of Piece-Meal Water Pollution Data: Much is Possible Despite Odds,
    1. 2016 US-China Forum: Water and Urban Development, University of Chicago, Oct 14, 2016. Video available on Youtube. Details:
    2. ACM DSP talk at IIT-BHU, India, Sep 20, 2016
    3. At Conference on Conservation, Computation, & Criminology (C4), Cornell University, Ithaca, NY, July 6-8, 2016. Video available on Youtube.
  2. Blue Water at CSE Workshop on Mainstreaming Citywide Sanitation: Opportunities and Challenges in Excreta Management during 4-5 April, 2016 at IHC, New Delhi, India. Slides are on site as well as on slideshare.(April 2016).
  3. Talk on Data management practices and multi-sensor data fusion in water management, at IIT Kharagur (March 2016) and IIT Madras (Jan 2016.)


  1. [1 August 2016,  Water pollution data] Ganga Watch and Blue Water Revisited – Collected Data is Now Externally Available, As-is, by Biplav Srivastava
  2. [18 January 2016, Water usage app] Ganga Watch – An App for Using Water Data in Every Day Decisions, by Biplav Srivastava
  3. [18 January 2016,  App details] Ganga Watch: Mobile Computing to Monitor River Water Quality in India, by Sandeep Sandha
  4. [20 December 2015, Water data collection] Two Days on Yamuna – Collecting Water Pollution Data is Both Simple and Complex,, by Biplav Srivastava
  5. [3 December 2015, Water crowd source app] Neer Bandhu, for Water Friends, by Biplav Srivastava
  6. [September 2015, Randomized inspection] Can Game Theory Help Clean the Ganga? Randomized Inspection is a Case in Point, Benjamin Ford, Biplav Srivastava*, Milind Tambe. At's envivonment community.


  1. From GangaWatch, also as REST from here.
  2. From Neer Bandhu (Water Friend), also available from the mobile app. Find here.
  3. From Creek Watch, also available from web site. Find here.


  1. Jason Ellis, Biplav Srivastava, Rachel Bellamy and Andy Aaron, Water Advisor - A Data-Driven, Multi-Modal, Contextual Assistant to Help with Water Usage Decisions, AAAI 2018. [Demonstration paper].
  2. An Open, Multi-Sensor, Dataset of Water Pollution of Ganga Basin and its Application to Understand Impact of Large Religious Gathering,
    Biplav Srivastava, Sandeep Sandha, Vaskar Raychoudhury, Sukanya Randhawa, Viral Kapoor, Anmol Agrawal
    On Arxiv at:, December, 2016.
  3. The GangaWatch Mobile App to Enable Usage of Water Data in Every Day Decisions Integrating Historical and Real-time Sensing Data,
    Sandeep Sandha, Biplav Srivastava, Sukanya Randhawa,
    Demo paper. On Arxiv at:, January 2017
  4. A multi-sensor process for in-situ monitoring of water pollution in rivers or lakes for high-resolution quantitative and qualitative water quality data
    Sukanya Randhawa, Sandeep S Sandha and Biplav Srivastava,
    14th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC 2016), August 2016.
  5. The GangaWatch App and BlueWater Platform to Enable Usage of Water Data in India in Everyday Decisions Integrating Historical and Real-time Sensing Data,
    Sandeep S. Sandha, Sukanya Randhawa, and Biplav Srivastava,

    Data Flow: Grand Challenges in Water Systems Modeling, Data Management, and Integration, Louisiana State University, Baton Rouge, May 9-10, 2016.
  6. Protecting the Nectar of the Ganga River through Game-Theoretic Factory Inspections,
    B. Ford, A. Yadav, A. Singh, M. Brown, A. Sinha, B. Srivastava, C. Kiekintveld, M. Tambe,
    14th International Conference on Practical Applications of Agents and Multi-Agent Systems
    , Sevilla, Spain, June 1-3, 2016.
  7. Blue Water: A Common Platform to Put Water Quality Data in India to Productive Use by Integrating Historical and Real-time Sensing Data,
    Sandeep S Sandha, Sukanya Randhawa and Biplav Srivastava,
    IBM Research Report RI15002, 2015.












Tutorial: AI for Data-Driven Decisions in Water Management

We will be giving a tutorial, titled AI for Data-Driven Decisions in Water Management, at the premier AAAI conference in Feb 2017 at San Francisco, CA, USA. Details: see site.