Hydrography Program Highlights and Demonstrations
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1 Hydrography Program Highlights and Demonstrations , Reston North American Mapping Mark Sondheim & Marie-Eve Martin
2 Overview Common Hydrology Features model: CHyF (chief) Linked Open Data: LOD Stream Gauge Data Groundwater Data Meteorological Data Etc. 2
3 CHyF: A product of innovation and collaboration The National Hydro Network in Canada does not provide sufficient support for analysis. Drainage boundaries do not exist and neither does support for upstream/downstream navigation. The US model is very rich, but it is complicated. Extending It across all of Canada would be lengthy and expensive. NRCan ECCC This issue raises the question: are there alternatives based on advances in computer science and software engineering? Ontario USGS IJC NOAA Québec And the related question: are there alternatives that will provide high performance, but require much lower maintenance? 3
4 CHyF and other Models CHyF Many models of hydrological features have been put forward over the last 40 years. HY_Features is a new OGC conceptual standard. CHyF extends it and provides an implementation. HY_Features US NHDPlus HR Québec GRHQ Ontario Hydro Network CHyF leverages fast computation, including AI. BC 1:20K Freshwater Atlas US NHDPlus Canada NHN Computing Power Google Maps Fast Spatial Algorithms BC 1:50K Watershed Atlas US NHD 1980s Basic digitizing Limited computational capability Today GPS positioning, web services Extensive computational capability 4
5 CHyF s Development Expert Consultation 2017 Hydro Online Survey: hydrologists, other specialists Direct interaction Hydro Harmonization Projects International Joint Commission US Geological Survey Natural Resources Canada Environment and Climate Change Canada Lessons learned HY_Features Underwritten by Open Geospatial Consortium World Meteorological Organization CHyF Conceptual framework Leveraging Advances in Computation Advances in graph theoretic algorithms Advances in vector algorithms AI related algorithms Advances in computing 5
6 CHyF as a Key Component of Hydrological Analysis A p p s S e r v i c e s D a t a Pollution Path Routing Flood Prediction CHyF Navigation Web Services CHyF Hydrology Features CHyF Conditioned DEM Water Supply Analysis Hydrological Web Services Hydrometric Station Climate Change Assessment Meteorological Web Services Groundwater Monitoring Emergency Response Support Geospatial Web Services Meteorological Web Browsers & Search Engines Linked Data Web Services Land Use / Land Cover Municipal Boundaries 6 6
7 CHyF Technical Characteristics Makes use of graph theory, like road navigation and social media analysis Defines catchments in a hydrologically meaningful way Expected to scale well, from local to continental scales Promise of much lower maintenance with far easier updating Its use with linked open data has been demonstrated 7
8 CHyF s Elementary Flowpaths & Catchments Elementary flowpaths (each of the line segments, dot to dot, a - k) Elementary catchments (each of the areas, A - K) Nexuses (each of the white, green, and red dots) B a F A b i1 E C i2 e i4 i3 I c f i6 i5 i7 i8 g G H h i9 j J d D Kk 8
9 CHyF leverages Graph Theory The graph must be directed and acyclic. All parts of the land/waterscape are referenced in the hy-graph. A watershed is represented by a hy-graph: (i) typically one big sub-graph, representing connected areas, and (ii) many small sub-graphs, representing disconnected areas. T0 One big sub-graph, from the previous example Assume two isolated lakes and an isolated stream network are also present. Each would have its own sub-graph. T1 T2 T3 W Ti The watershed (or a series of watersheds) is represented by W, a single hy-graph. Cenotes and subsurface flows could be handled in a similar fashion. 9
10 Technical Environment CHyF Services The software is open source under Apache License 2. It can be used in an open source stack with the Geospatial Data Abstraction Library (GDAL), QGIS, PostGIS, etc. Although not demonstrated yet, it is likely that with some minor extensions it could be used with ArcGIS Pro using ArcPy. CHyF Data GeoJSON, GeoPackage, GML?, Shapefile? WMS, WFS? 10
11 External Advisory Committee James Craig, Ph.D., P.Eng. Chair Canada Research Chair in Hydrologic Modelling and Analysis, Associate Professor, Civil and Environmental Engineering, University of Waterloo Wayne Jenkinson, Ph.D., P.Eng. Senior Engineering Adviser, International Joint Commission Kevin Shook, Ph.D., P.Eng. SGI Canada Research Fellow, Global Institute for Water Security Research Fellow, Centre for Hydrology, University of Saskatchewan Bernhard Lehner, Ph.D. Associate Professor, Department of Geography, McGill University John Gaiot Mapping and Geomatics, Ontario Ministry of Natural Resources Daniel Blais Direction de l'expertise en biodiversité; Ministère du Développement durable, de l'environnement et de la Lutte contre les changements climatiques 11
12 North America Seamless coverage at all scales Either a common model everywhere, or interoperable models, supporting: Networks of waterbody features Networks of catchments Navigation services through the networks Canada USA 12
13 CCMEO s GeEAU Program: here
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