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C.Arias 1 , M.Brovelli 1 , C. Giuliani 2, S.Corti 2 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

A FOSS based web geo-service architecture for data management in complex water resources contexts

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Page 1: A FOSS based web geo-service architecture for data management in complex water resources contexts

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

Page 2: 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

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

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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

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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

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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

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11th International Conference on Hydroinformatics HIC 2014, New York City, USA

How to access and exploit all this information?

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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

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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

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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

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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

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11th International Conference on Hydroinformatics HIC 2014, New York City, USA

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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

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Drupal Module

Connect with Geoserver via url Define a workspace Add and manage layers Add and manage layers styles

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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)

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https://www.drupal.org/project/2149739/git-instructions

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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.

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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.

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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/