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

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

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

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

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

How to access and exploit all this
information?

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

Web geo-service architecture
WMS
WFS
WMS - T
Web Client
OGC Web
Services
ServersDatabase
Public
Schema
SOS
WFS - T
istSOS
Schema
Views
Drupal core modules
Drupal istSOS module
Drupal OpenLayers module
Drupal GeoServer module

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

 Modules
 Themes
 Libraries
 Maps
 Layers
 Styles
 OGC services
 Caching
 KML, shp…
 Observed properties
 Units of measure
 Procedure

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

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

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)

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

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
carolina.arias@polimi.it
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/

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

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