Delft FEWS : A proven infrastructure to bring data , sensors and models together

نویسندگان

  • M. Sànchez-Marrè
  • J. Béjar
چکیده

Delft FEWS is a proven real time software infrastructure for operational water management and forecasting, having been applied in several operational forecasting centres all over the world. The system has contributed to changing the paradigm of flood forecasting systems from a model centric approach to a data centric approach. The system is a time series oriented ETL-infrastructure (Extract, Transfer, Load) with the ultimate aim to provide the forecaster with relevant information in support of the operational process of flood forecasting and warning. Key to its success is the design choice for separation of data communication protocols from the content, as well as its openness to integration of other applications and data. While keeping its focus on its core tasks, the design concept has allowed the system to evolve from a stand alone application, through a client-server concept into a (web) service oriented architecture. Continued research is ongoing to explore new technologies and turn these into operational features available to operational forecasters. This paper will highlight some of our experiences in system design to combine real time data with models.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

How Delft-FEWS incorporates real-time sensor data with dynamic modeling to allow Real Time Control of sewer systems

We discuss how Delft-FEWS is applied to incorporate real-time sensor data and dynamic modeling to allow Real Time Control (RTC) of three sewer systems in the area of the Hoeksche Waard, the Netherlands. The purpose of this project was to reduce sewerage spilling to the surface water by optimizing the available storage in the sewer systems. In this paper we will present how Delft-FEWS makes use ...

متن کامل

Gaming/Simulation for the Environment

Like Artificial Intelligence, the scientific discipline of Gaming/Simulation studies intelligent systems. It has proven its use in domains like organizational change, defense tactics, and calamity fighting. CE Delft has taken up the rich methodology of Gaming/Simulation to investigate and communicate environmental policies. This paper demonstrates three types of applications: policy simulations...

متن کامل

A Distributed Authentication Model for an E-Health Network Using Blockchain

Introduction: One of the most important and challenging areas under the influence of information technology is the field of health. This pervasive influence has led to the development of electronic health (e-health) networks with a variety of services of different qualities. The issue of security management, maintaining confidentiality and data integrity, and exchanging it in a secure environme...

متن کامل

A Distributed Authentication Model for an E-Health Network Using Blockchain

Introduction: One of the most important and challenging areas under the influence of information technology is the field of health. This pervasive influence has led to the development of electronic health (e-health) networks with a variety of services of different qualities. The issue of security management, maintaining confidentiality and data integrity, and exchanging it in a secure environme...

متن کامل

Propagation of weather forecast uncertainties in flood forecasting A case study on Rhine discharges at Lobith

i Preface This report describes the findings of my master thesis for the section of Water Resources Management of the faculty of Civil Engineering and Geosciences of the Delft University of T e c h n o l o g y (DU T). I h a v e e xe c u t e d th i s r e se a r c h w i t h g re a t p l e a s u r e a t W L | De l f t Hydraulics, who facilitated a work space during the total research period. Resea...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008