An integrated information system for the acquisition, management and sharing of environmental data aimed to decision making

This paper reports the first results of the Project SESAMO - SistEma informativo integrato per l’acquisizione, geStione e condivisione di dati AMbientali per il supportO alle decisioni (Integrated Information System for the acquisition, management and sharing of environmental data aimed to decision making). The main aim of the project is to design and develop an integrated environmental information platform able to provide monitoring services for decision support, integrating data from different environmental monitoring systems (including WSN). This ICT platform, based on a service-oriented architecture (SOA), will be developed to coordinate a wide variety of data acquisition systems, based on heterogeneous technologies and communication protocols, providing different sort of environmental monitoring services. The implementation and validation of the SESAMO platform and its services will involve three specific environmental domains: 1) Urban water losses; 2) Early warning system for rainfall-induced landslides; 3) Precision irrigation planning. Services in the first domain are enabled by a low cost sensors network collecting and transmitting data, in order to allow the pipeline network managers to analyze pressure, velocity and discharge data for reducing water losses in an urban contest. This paper outlines the SESAMO functional and technological structure and then gives a concise description of the service design and development process for the second and third domain. Services in the second domain are enabled by a prototypal early warning system able to identify in near-real time high-risk zones of rainfall-induced landslides. Services in the third domain are aimed to optimize irrigation planning of vineyards depending on plant water stress.

[1]  Faa-Jeng Lin Real-time IP position controller design with torque feedforward control for PM synchronous motor , 1997, IEEE Trans. Ind. Electron..

[2]  Enrique R. Vivoni,et al.  Vegetation‐hydrology dynamics in complex terrain of semiarid areas: 1. A mechanistic approach to modeling dynamic feedbacks , 2008 .

[3]  P. Reichenbach,et al.  GIS techniques and statistical models in evaluating landslide hazard , 1991 .

[4]  Antonino Maltese,et al.  Daily evapotranspiration assessment by means of residual surface energy balance modeling: A critical analysis under a wide range of water availability , 2012 .

[5]  B. Pradhan,et al.  Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models , 2007 .

[6]  Wolfram Burgard,et al.  Mapping and localization with RFID technology , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[7]  Leonardo Noto,et al.  Physically-based and distributed approach to analyze rainfall-triggered landslides at watershed scale , 2009 .

[8]  Antonino Maltese,et al.  Comparing actual evapotranspiration and plant water potential on a vineyard , 2011, Remote Sensing.

[9]  Mario Minacapilli,et al.  Comparative analysis of surface energy balance models for actual evapotranspiration estimation through remotely sensed images , 2012 .

[10]  Herbert Klapperich,et al.  MONITORING OF LANDSLIDES AND INFRASTRUCTURES WITH WIRELESS SENSOR NETWORKS IN AN EARTHQUAKE ENVIRONMENT , 2010 .

[11]  Chiara Lepore,et al.  Rainfall-induced landslide susceptibility zonation of Puerto Rico , 2012, Environmental Earth Sciences.