The DISTRILAKE project aims to integrate and coordinate the management of available reservoirs in the Lake Como basin to increase the overall efficiency of the water system and its ability to meet various user needs, especially during periods of water stress. A key part of the project is developing a geo web system with a data model, web services, and client interface to enable collection and sharing of water-related data among project participants and stakeholders. The system will make all relevant data immediately and easily accessible. Setting up metadata standards and catalog services are also important aspects for implementing the geo web system.

1. DISTRI AKE Geoweb System

2. PRESENTATION CONTENTS
Work meeting 7 March, 2013 by Carolina Arias

3. Figure 1. Lake Como drainage basin
DISTRILAKE
Project Definition
The main idea of DISTRILAKE project is the integrate and coordinate manage of the available reservoirs in
Lake Como basin – see Figure 1- (alpine hydroelectric reservoirs, available water in vadose zone and the
water table) and the lake, to increase the total efficiency of the system and its capacity of satisfy many
users, especially in water stress conditions.
D0. Distrilake Geoweb
System
D1. Integrated Manage of
the hydroelectric
reservoirs
D2. Creation of the 5th
Lombard Lake
D3. Invernal Irrigation.

4. DISTRILAKE
Project Definition
Distrilake Geoweb System
Data Model
Web Services
Consist in the analysis of requirements and creation of
the data model of the integrated water system in a
heavily industrialized area and of the water cycle.
Implementation of the database and information
collection.
For the development of the DISTRILAKE project is
essential to have a model and data structure and a
consequent web geo- service (and viewing /
management client) to enable the collection and
updating of all comments and information relating to
water service and cycle of the waters of Lake Como.
The system has to make all data of interest immediately
and easily available to the participants in the project
and later to all stakeholders.
OGC® WaterML 2.0: Part 1- Timeseries

5. Data Model
Definition
LONGITUDINE*
LATITUDINE*
QUOTA_ASSOLUTA_PC*
ALTEZZA_RIFERIMENTO*
QUOTA_RIFERIMENTO_Qr*
TIPOLOGIA_RIFERIMENTO_
Qr*
PORTATA PRELEVATA
NOMERETEVIS
IDTIPOLOGIA
IDSENSORE
DESCRIZIONE
DATAMINIMAHT
DATAMASSIMAHT
ALTEZA NEVE
IDSTAZIONE
NOME STAZIONE
LOCALITÀ
LSTORICO
PRECIPITAZIONE
Source: http://images.tutorvista.com/content/feed/tvcs/WaterCycle-optimized.jpg

6. Andrea Castelletti
Modeling and
management of
water resources
systems
Francesco Ballio
Water Risk
assessment
Luca Alberti
Sustainable
groundwater
resources
management
Arianna Azzelino
Pollution
Phenomena
Technologies for the
control and
management of
pollution
Giorgio Guariso
Modeling and
Simulation of water
resources systems
Data
Roberto Canziani
Water and
Wastewater
Treatment
Technology

7. SDI/Web Services
Definition
“…relevant base collection of technologies, policies
and institutional arrangements that facilitate the
availability of and access to spatial data”

8. Source: http://commons.esipfed.org/sites/default/files/skitched-20120424-161559.png
OGC Standards
SDI/Web Services
Definition

9. SDI/Web Services
Definition
Source: http://www.geomatys.com/fr/constellation-sdi
Web service = Any software which
makes itself available over the
internet and uses a standard XML
messaging system
(eXtensible Markup Language)

10. Source: http://www.docstoc.com/docs/82083272/MapServer-and-OGC-Web-Services-(PowerPoint)
Distributed data through services interface
 Less redundant data
 More effective data management
 Connect rather than store
 Transparent and coorperative
Normalizes playing field, independent of:
 Operating system
 Programming languajes
 Development Environment
SDI/Web Services
Definition
Why should
we use
Geospatial
services?

11. Metodology
Geo web System
Initial data description: Identification of the data sources, imputs
and outputs used for the analysis
Metadata identification and creation
Data model stablishment
Identification of the services needed according to the data
Services configuration
Creation of a client ( web visualization/access to data)

12. Future Perspectives
Geo web System
Source: http://kilowatt.bo.it/g
Source: http://www.ifhp.org/
Source: http://gis.ny.gov/ Source: http://b.vimeocdn.com

13. Metadati:
Information describing spatial data sets and its services,
that allow to record, search and use such data and
services. (Informazioni che descrivono i dati territoriali e i
servizi ad essi relativi e che consentono di registrare,
ricercare e utilizzare tali dati e servizi).
Regolamento recante regole tecniche per la definizione del contenuto del Repertorio nazionale dei dati territoriali
Metadata: data about data
ISO 19115:2003(E)
Metadata
Definition

14. Metadata
Definition
Metadata contains information on the following aspects:
a) conditions applying to access and use of spatial data sets and
services relevant and, where applicable, corresponding fees;
b) the quality and validity of spatial data sets;
c) the public authorities responsible for the establishment,
management, maintenance and distribution of spatial data sets
and services;
d) limitations on public access and the reasons for such
limitations.

15. Catalog Service
Definition
Catalog Service:
Standard set of services to support on-line catalogs of
geodata and geoprocessing capabilities accessible to users
in networked environments. http://www.opengeospatial.org

16. Catalog Service
Definition
http://www.geocat.ch/geonetwork/srv/eng/geocat

17. Metadata
Definition
Metadata Standards

18. Informazioni sui metadati
Identificatore del file (O) Metadata file identifier (Op)
Lingua dei metadati (O) Metadata language (C)
Set dei caratteri dei metadati (C) Metadata character set (C)
Id file precedente (O) -
Livello gerarchico (O) -
Responsabile dei metadati (O) Metadata point of contact (M)
Data dei metadati (O) Metadata date stamp (M)
Nome dello Standard (O) Metadata standard name (Op)
Versione dello Standard (O) Metadata standard version (Op)
Categoria tematica (O) Dataset topic category (O)
Metadata
RNDT vs core ISO
(O): Mandatory
(Op):Optional
(C): Conditional.
(O per obbligatorio, Op per
opzionale, C per
condizionato)

19. Identificazione dei dati
Titolo (O) Dataset title (M)
Data (O)
Tipo data (O)
Dataset reference date (M)
Formato di presentazione (O) -
Responsabile (O) -
Identificatore (O) -
Id livello superiore (O) -
Altri dettagli (Op) -
Descrizione (O) Abstract describing the dataset (M)
Metadata
RNDT vs core ISO
(O): Mandatory
(Op):Optional
(C): Conditional.
(O per obbligatorio, Op per
opzionale, C per
condizionato)

20. Identificazione dei dati
Parola chiave (O)
Keyword (O)
Thesaurus (Op)
Punto di contatto (O) Dataset responsible party (Op)
Tipo di rappresentazione spaziale (O) Spatial representation type (Op)
Risoluzione spaziale (O) Spatial resolution of the dataset (Op)
Lingua (O) Dataset language (O)
Set di caratteri (C) Dataset character set (C)
Categoria tematica (O) Dataset topic category (O)
Metadata
RNDT vs core ISO
(O): Mandatory
(Op):Optional
(C): Conditional.
(O per obbligatorio, Op per
opzionale, C per
condizionato)

21. Vincoli siu dati
Limitazione d’uso (O) -
Vincoli di accesso (O) -
Vincoli di fruibilità (O) -
Altri vincoli (C) -
Vincoli di sicurezza (O) -
Estensione dei dati
Localizzazione geografica (O) Geographic location of the dataset (C)
Estensione verticale (Op) Additional extent information for the dataset(Op)
Estensione temporale (Op) Additional extent information for the dataset(Op)
Metadata
RNDT vs core ISO
(O): Mandatory
(Op):Optional
(C): Conditional.
(O per obbligatorio, Op per
opzionale, C per
condizionato)

22. Qualità dei dati
Livello di qualità (O) -
Accuratezza posizionale (O) -
Genealogia (O) Lineage (Op)
Conformità: specifiche (C) -
Conformità: grado (C) -
Sistema di riferimento
Sistema di riferimento spaziale (O) Reference system (Op)
Distribuzione dei dati
Formato di distribuzione (O) Distribution format (Op)
Distributore (O) -
Risorsa on line (Op) On-line resource (Op)
Gestione dei dati
Frequenza di aggiornamento (Op) -
Metadata
RNDT vs core ISO
(O): Mandatory
(Op):Optional
(C): Conditional.
(O per obbligatorio, Op per
opzionale, C per
condizionato)

23. Join work
Project
Components/
Research area
Analysis
Software/
programming
language used for
analysis
Feature
Name of the
phenomenon
Input data
Input data
formats
Input data
source
Output data Notes

24. Thank you!
Work meeting 7 March, 2013 by Carolina Arias