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C.Arias1, M.Brovelli1, C. Giuliani2, S.Corti2
1 HydroinformaticsLab@POLIMI, Dept. Electronics, Information, and Bioengineering, Politecnico di Milano, Italy
2 HydroinformaticsLab@POLIMI, Dept. Civil and Environmental Engineering, Politecnico di Milano, Italy
A FOSS based web geo-service architecture for data management in complex water resources
contexts
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
S9-01: Special Session: Information Exchange – Standard Data Protocols within the Global Earth System of Systems
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
Motivation Amount and types of data available at local and global scale at
increasingly higher temporal and spatial resolution Accessing and integrating these data for modeling and decision making
purposes can be challenging and highly time consuming Enable collection and sharing of data coming from complex water
resources domains and managed by multiple institutions Platform for comparatively analyzing alternative water management
strategies
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
Lake Como and Muzza irrigation district
Hydropower reservoir
Power plant
Como city
Penstock
River Adda
River Adda
Legend
Lario
Lario catchment
River
Irrigated area
0 10 20 30 40 505
Kilometers
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
Complex water resources contexts
The participation and interaction of all the stakeholders affected by the system
management (e.g., water managers, hydropower companies, farmers)
through the use the web geo-server has indeed the potential for enhancing the
efficiency of water management practices
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
Objectives
The case study focuses on the analysis of the main components of the Lake Como system and the different
water-related interests involved. In other words, understanding of the reciprocal feedbacks between the decisions made in the system, such as modifications of
the upstream reservoirs or Lake Como operations, or changes in the crops’ type cultivated in the downstream
agricultural districts
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
How to access and exploit all this information?
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
A web geo-service can allow the exploration of the potential benefits achievable by adopting coordination
strategies between the actors involved. Significant advantages can be obtained through a coordinated
management of Lake Como and the upstream reservoirs, as well as by tuning the lake releases to match the actual
water demand of the crops cultivated in the irrigation districts downstream.
Web geo-service
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
Web geo-service architecture
WMS
WFS
WMS - T
Web Client OGC Web Services
Servers Database
Public Schema
SOS
WFS - T
istSOS Schema
Views
Drupal core modules
Drupal istSOS module
Drupal OpenLayers module
Drupal GeoServer module
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
Why ? Previous experience Most popular, well documented, large community CMS between
joomla and wordpress More advanced geospatial funzionalities (Geoserver and
OpenLayers modules)
Why a CMS ? Administration: user account, permissions and roles Extendibility : modules or plugins Data and content management: organize, structure, find and re-
use content Accessibility on multiple devices
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
Modules Themes Libraries
Maps Layers Styles
OGC services Caching KML, shp…
Observed properties Units of measure Procedure
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
Drupal Module Settings Editor source variant Add and manage layers Add and manage maps (OpenLayers instances) Add and manage map projections Add and manage map styles Add behaviors – Clustering Behaviuor
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
Drupal Module
Connect with Geoserver via url Define a workspace Add and manage layers Add and manage layers styles
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
Management from Drupal
Connect with a istSOS installation via url Associate a contect type with the istSOS module Add a service in the IstSOS service and set the EPSG code Choose a service from a list of already connected services Add observed properties Add the units of measure of a property Upload observational data ( all types of files)
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
https://www.drupal.org/project/2149739/git-instructions
11th International Conference on Hydroinformatics HIC 2014, New York City, USA
Final remarks
The use of the CMS is crucial for collection, storage, sharing and visualization of geodata in complex water resources management contexts, especially for its user permission and content management functionality.
The proposed architecture combines different software that answers the need of an easy, self-explainable access interface for a multiple variety of user’s demands
In the future, the web geo-service architecture can be enriched with the use of Web Processing Service (WPS). This could allow the users to run the model through the web, changing some predefined model parameters.
Further Readings
Giuliani, M., Li, Y., Mainardi, M., Arias Munoz, C., Castelletti, A., & Gandolfi, C. (2013, December). Co-Adapting Water Demand and Supply to Changing Climate in Agricultural Water Systems, A Case Study in Northern Italy. In AGU Fall Meeting Abstracts (Vol. 1, p. 03). Giuliani, M. (2014). Agent-based water resources management in complex decision-making contexts.
Thank you for your attention!
Carolina Arias Muñoz PhD Student Politecnico di Milano [email protected] Skype: krolinarias Twitter:@Krolinarias Linkedin: http://www.carolinaariasmunoz.com/linkedin Google Scholar: http://scholar.google.it/citations?user=tk6o5WUAAAAJ Research Gate : Researchgate.net/ ResearchID: ResearcherID B-9274-2013 http://hydroinformatics.polimi.it/