Mapping Public Water Management: Proof of Conceptby , , , and -
What cannot be measured cannot be managed. Poor water management poses major risks to agriculture, industry and local communities. However, there is a critical lack of information available about local water conditions — making better management difficult. WRI’s Water Program studies local water data and governance and shares best practices in order to advance context-driven, meaningful water management.
WRI and the Pacific Institute are currently working to map public water risk by harmonizing and sharing water risk information among industrial water users on the following criteria:
- Access to information on water quantity and quality
- State of infrastructure
- Existence and enforcement of allocations and caps
- Local pricing systems
This Technical Note documents the results of a pilot with 6 companies and 41 facilities, and creates an updated question set to better understand conditions of public water management.
Many water crises are, at their root, crises of water governance and management. To effectively respond to water crises driven by governance and management failures, there is a need for empirical, comparable, global information on the state of public water management.
In an effort to fill this data gap, this Technical Note tests a novel data collection approach that relies on crowdsourcing data from multinational enterprises with operations across many geographies. The approach was piloted with six contributing multinational companies, and the results were validated in eight locations in Southern California (United States) and the state of Maharashtra (India).
The pilot study suggests that the new data collection approach is scalable and has the potential to generate a global dataset of public water management capacity. The field validation exercise suggests that the collected data are mostly viewed as valid by local experts and stakeholders, but the exercise also identifies a number of weaknesses. Based on these findings, this paper presents an updated survey that improves upon the original survey used in the pilot study.