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ByronCinNZ edited this page Nov 17, 2015 · 16 revisions

Scenario

Summary

• This project seeks to provide basic infrastructure to support a harmonized approach to monitoring rivers across NZ. There are many who would benefit from this including

  • Water quality
  • Flood monitoring
  • Recreation
  • Irrigation
  • Climate modeling
  • Environmental protection • For the purposes of this prototype we have chosen to demonstrate the value provide to resilience to flooding • About data reuse enabling simplified access to reduce cost and provide access to authoritative data.

• TAs hold primary responsibility for monitoring rivers and providing protection from flooding • After a heavy rain increased flows may cause the riverbed to change shape • Because of this after, the next heavy rain, water may go to new locations where it is not planned or managed. This is a bad thing. May pose new threats to people, property and the systems designed to protect these from flooding. • Therefore we need to determine any changes to

  • Who is at risk from floods
  • How they are protected • Who needs the most help is difficult to tell because
  • Measurements are not consistent across authorities
  • Naming conventions differ

Examining the morphological changes after flooding event to plan for future flooding events and analyse risks to critical/cultural (include Maori) protection assets

Problem

• Numerous sensors for rivers across NZ

  • Cannot easily merge data across regions, between regions or link to related data. • Standardised national common vocabulary, naming and indexing conventions are not implemented
  • Creates uncertainty – Is this thing the same as that thing? How can I find the thing I am looking for?
  • Unambiguously Connect sensors to the things they are sensing e.g. river sensor to river segment being monitored.
  • Uncertainty if the descriptive terms from different providers match?

Benefits

• Will allow a harmonized view of data from sensors • Standard indexing of hydro network feature and stations • Unambiguously link sensors to the things they are sensing • Fixing these problems will allow the creation of a basic infrastructure that will support a large number of end user and use cases

  • Water quality
  • Flood monitoring
  • Recreation
  • Irrigation
  • Climate modeling
  • Environmental protection

Solutions

Major points

• One view of authoritative hydrometric sites in NZ river network • registry of authoritative data providers • harmonisation of data models • EODP implementation • Linking of observations to observed river segments • Topological searches enabled across the observation/river network • Language conversion English/Maori • Exploring the best option of time series data display (cross-sections/long-sections) • Empowering a federated architecture for any temporal/spatial environmental observation in a national context

Long Term impact

• To connect to spatial relevance/context - Reestablishment of authoritative • river naming index • site name index • Documentation and recommendations on • best practice • lessons learnt • seed grant • governance • national implementation • conventions and policies supporting linked data • Uri naming • architecture • persistance • resource needs / long term funding • NZ environmental observation catalogue for international partnership • Feed into WMO Information System GBIF GEOSS

Story points

• Hutt Valley as focus area? • How do floods modify the geomorphology of catchments? • We are enabling harmonised discovery of hydrologic observations federated across various agencies through implementation of national registries / standards based mechanisms • Looking into morphological changes after flooding event to plan for future flooding events and analyse risks to critical/cultural (include Maori) protection assets • Information flow • Choosing a river • Looking at reaches • Discovering what time series info is available • accessing analysing x-sectional information/data • Requires • harmonisation between time series of hydrological information and reach characteristics • geomorphology • • Bring together data from a selected set of councils and NIWA • • About data reuse enabling simplified access to reduce cost and provide access to authoritative data.