River Water Quality Monitoring System Using IBM Watson

Abstract

Water is unique in its role as a life preserver. It is important to all members of a society. However, if one is looking for quality data in India to make data-driven decisions, one is lost. This is surprising given that there is a rich history of data collection in the country and looks forward to adopting real-time water sensing in a big way.

In River water system paper, we first explore issues around data management practices for water that have prevented their widespread dissemination and then, in response, propose a general data access and reuse framework which focuses on usage of water information for a purpose like irrigation, drinking or industrial need.

Introduction

Water affects all stakeholders in a society due to its unique role as a life preserver. Apart from drinking, some of the other common activities that require water are domestic, agricultural, industrial and construction activites with different levels of acceptable water standards.

The need for better river water quality data has been felt for a while and especially in cases of severe pollution like Ganga in Kanpurand Hindon. The environment courts in India have expressed lack of satisfaction with existing data and taken drastic actions like closure of hundreds tanneries. The government and World Bank are planning to put 100+ real-time measuring stations for rivers in India but only a handful are operational despite years of effect

Conclusion

In this  River Water quality monitoring System using IBM Watson paper, we presented a general, common platform to integrate historical and real-time sensing data for water called BlueWater. The system can uses existing data from any site making it available for reuse (open data) as well as new sensing data. A web based interface faciliates seamless loading of data as well as access via programming interfaces
(APIs).