Istsos, Sensor Observation Management System: a Real Case Application of Hydro-meteorological Data for Flood Protection
نویسندگان
چکیده
istSOS (Istituto scienze della Terra Sensor Observation Service) is an implementation of the Sensor Observation Service standard from Open Geospatial Consortium (OGC). The development of istSOS started in 2009 in order to provide a simple implementation of the Sensor Observation Service (SOS) standard for the management, provision and integration of hydro-meteorological data collected in Canton Ticino (Southern Switzerland). istSOS is entirely written in Python and is based on reliable open source software like PostgreSQL/PostGIS and Apache/mod_wsgi. The authors during this presentation want to illustrate the latest software enhancements together with a real case in a production environment. Latest software enhancement includes the development of a RESTful service and of a Web-based graphical user interface that allows hydrologists a better interaction with measurements. This includes the ability of new services creation, addition of new sensors and relative metadata, visualization and manipulation of stored observations, registration of new measures and setting of system properties like observable properties and data quality codes. The study will show a real case application of the system for the provision of data to interregional partners and to a hydrological model for lake level forecasting and flooding hazard assessment. The hydrological model uses a combination of WPS (Web Processing Service) and SOS for the generation of model input data. This system is linked with a dedicated geo-portal used by the civil protection for the management, alert and protection of population and assets of the Locarno area (Verbano Lake flooding). Practical considerations and technical issues will be presented and discussed.
منابع مشابه
Istsos: Investigation of the Sensor Observation Service
Approving the new federal low about geo-information (RS 510.62), the Switzerland gave a great impulse to the establishment of a national spatial data infrastructure, which in agreement with the EU directive INSPIRE (2007/2/CE), shall be based on geo-services. This approach gives to data maintainers the freedom to choose the desired formats, software and data model but impose the provision of th...
متن کاملOpen technologies for monitoring systems aimed at disaster risk reduction
This research is spearheading the integration of Free and Open Source Software (FOSS) and Open Source Hardware (OSHW) in the field of agri-meteorology applications to disaster risk reduction, flood and droughts. A Do-It-Yourself weather station based on OSHW standards has been developed from local sources in Sri Lanka, reporting by SMS to tank/reservoir managers when rainfall is higher than 10m...
متن کاملEvaluation of geomorphology method application for flood Hazards risk classification using Fuzzy Logic (Case study: Ojan Chay drainage basin)
Past decades damage by floods in Iran and on the other of the world has shown that we have still much work to do to cope with this problem. Hence, the study of these events and development of more effective adaptation and mitigation policies has become a priority, in other parts of the globe. First step in achieving flood risk assessment is data collection. Availability, suitability and quality...
متن کاملتخمین گروههای هیدرولوژیکی خاک در حوزههای فاقد دادهی اندازهگیری شده
In many floods controlling, watershed-management and water-resources projects, estimating of river flow-rate is important and needs a comprehensive hydrological modeling of flow-rate evaluation. Need for enlightening the status of water-resources and precipitation in different watersheds and the lack of networks of hydro-meteorological gauging stations, reveal the importance of estimating ...
متن کاملReal Time Flood Forecasting - Indian Experiences
The real time flood forecasting is one of the most effective nonstructural measures for flood management. For formulating the flood forecast in the real time, the observed meteorological and flow data are transmitted to the forecasting station through the different means of data communication which include telephone, wireless and network of telemetry stations etc. The collected meteorological a...
متن کامل