Hydrological information systems Svein Taksdal Head of section, Section for Hydroinformatics Hydrology department Norwegian Water Resources and Energy.

Slides:



Advertisements
Similar presentations
Conducting your own Data Life Cycle Audit
Advertisements

1 Senn, Information Technology, 3 rd Edition © 2004 Pearson Prentice Hall James A. Senns Information Technology, 3 rd Edition Chapter 7 Enterprise Databases.
CRM Technology.
Chapter 1: The Database Environment
SH - SYSTEM of HYDROLOGY Grzegorz SLOTA Head of the Section System of Hydrology (SH).
1 of 15 Information Access Internal Information © FAO 2005 IMARK Investing in Information for Development Information Access Internal Information.
1 jNIK IT tool for electronic audit papers 17th meeting of the INTOSAI Working Group on IT Audit (WGITA) SAI POLAND (the Supreme Chamber of Control)
1 1 Balancing supply-use tables Ann Lisbet Brathaug Steinar Todsen Statistics Norway OECD WP NA October 2006.
Scope and method of pilot survey in China Yang kuan kuan Deputy director-general of office on Leading group of the Second National Economic Census under.
ASYCUDA Overview … a summary of the objectives of ASYCUDA implementation projects and features of the software for the Customs computer system.
Credit hours: 4 Contact hours: 50 (30 Theory, 20 Lab) Prerequisite: TB143 Introduction to Personal Computers.
1 9 Moving to Design Lecture Analysis Objectives to Design Objectives Figure 9-2.
Making the System Operational
1 WATER AUTHORITY Dr. Or Goldfarb CENTRAL BUREAU of STATISTICS Zaur Ibragimov Water Accounts in Israel Vienna January 2009.
Module 3: Business Information Systems
CLEARSPACE Digital Document Archiving system INTRODUCTION Digital Document Archiving is the process of capturing paper documents through scanning and.
Session # 2 SWE 211 – Introduction to Software Engineering Lect. Amanullah Quadri 2. Fact Finding & Techniques.
Current Awareness Services. Definition n A service which provides the recipient with information on the latest developments within the subject areas in.
ADePT Automated DECs Poverty Tables Michael Lokshin, Zurab Sajaia and Sergiy Radyakin DECRG-PO The World Bank.
“The Honeywell Web-based Corrective Action Solution”
© The McGraw-Hill Companies, Inc., All Rights Reserved. Irwin/McGraw-Hill Chapter 3 Money Management Strategy: Financial Statements and Budgeting.
Basic Computer Fundamentals Lecture4 Prepared by Jalal
Enhancing Spotfire with the Power of R
Chapter 10: The Traditional Approach to Design
Systems Analysis and Design in a Changing World, Fifth Edition
Companies can suffer numerous problems due to poor management of resources and careless decisions. In real-world decision- making, many organizations lack.
Information and Decision Support Systems
Decision Making as a Component of Problem Solving
MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan1 Systems Design, Implementation, Maintenance, and Review Chapter 13.
Information and Decision Support Systems
SIMULATION. Simulation Definition of Simulation Simulation Methodology Proposing a New Experiment Considerations When Using Computer Models Types of Simulations.
Chapter 3 Applications Software: Getting the Work Done.
Module 3: Business Information Systems
(date, event info here?)‏ SHARP Mark Love / Hydrologist / SERFC Supplemental Hydro- Analysis & Response Program July2007.
ControlDraw, Modularisation, Standards And Re-Use Standardised Specification and Modular Design How ControlDraw Help.
Recordkeeping for Good Governance Toolkit Digital Recordkeeping Guidance Funafuti, Tuvalu – June 2013.
MIS 385/MBA 664 Systems Implementation with DBMS/ Database Management Dave Salisbury ( )
Mark Heggli Innovative Hydrology, Inc. Consultant to the World Bank Expert Real-time Hydrological Technology Module 1: Essential Elements of a Hydrological.
CHAPTER 8: MANAGING DATA RESOURCES. File Organization Terms Field: group of characters that represent something Record: group of related fields File:
Principles of Information Systems, Sixth Edition Systems Design, Implementation, Maintenance, and Review Chapter 13.
©2010 John Wiley and Sons Chapter 12 Research Methods in Human-Computer Interaction Chapter 12- Automated Data Collection.
© 2007 by Prentice Hall 1 Introduction to databases.
1 Using Computer Applications Introduction to the module.
NWS FLDWAV ANALYSIS TOOL
Principles of Information Systems, Sixth Edition Systems Design, Implementation, Maintenance, and Review Chapter 13.
- Ahmad Al-Ghoul Data design. 2 learning Objectives Explain data design concepts and data structures Explain data design concepts and data structures.
5 - 1 Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved.
Automated (meta)data collection – problems and solutions Grete Christina Lingjærde and Andora Sjøgren USIT, University of Oslo.
Principles of Information Systems, Sixth Edition Information and Decision Support Systems Chapter 10.
Informed decisions for Selection Support in Libraries 20th Pan-helenic Conference of Academic Libraries Thessaloniki, 14/11/2011 Núria Sauri Electronic.
McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc., All Rights Reserved. 1.
Database Concepts Track 3: Managing Information using Database.
© Federal Statistical Office, Institute for Research and Development in Federal Statistics, Elmar Wein Federal Statistical Office Concepts, materials and.
Principles of Information Systems, Sixth Edition 1 Systems Design, Implementation, Maintenance, and Review Chapter 13.
Learning Objectives Understand the concepts of Information systems.
STREAMLINING STORM WATER PERMIT IMPLEMENTATION THROUGH USE OF AN INFORMATION MANAGEMENT SYSTEM April 8, 2004 Presented by John W. Hart 30 th Environmental.
Models Platform for Danube Forecasting PROJECT DANUBE WATER INTEGRATED MANAGEMENT.
Tayba Buddha Tamang Meteorology/Hydromet Services Division Department of Energy Ministry of Economic Affairs South Asian Climate Outlook Forum (SASCOF-1)‏
Managing Data Resources File Organization and databases for business information systems.
WATER RESOURCES DEPARTMENT
System.
BASIC INFORMATION ABOUT DATABASE MANAGEMENT SOFTWARE
Software Documentation
Chapter 12: Automated data collection methods
TallTimber & TimberPad: Software and Support for Forest Inventory
SDLC Phases Systems Design.
Reportnet 3.0 Database Feasibility Study – Approach
MIS 385/MBA 664 Systems Implementation with DBMS/ Database Management
OBSERVER DATA MANAGEMENT PRINCIPLES AND BEST PRACTICE (Agenda Item 4)
Presentation transcript:

Hydrological information systems Svein Taksdal Head of section, Section for Hydroinformatics Hydrology department Norwegian Water Resources and Energy Directorate The importance of well designed and well working computer systems for hydrological services

2 Why invest in specialized computer system for hydrology? ■ One defined place to store hydrological data ■ Avoid local copies of data ■ Secure long-time storing ■ Professional systems can handle large amount of data ■ Enables safe back-up routines ■ Easy to extract data for different use – e.g.: ■ Hourly data for latest days for flood warning ■ Daily mean of 50 years for statistical use

3 Key characteristics - in general for professional software ■ Based on well documented source code that is possible to maintain and further develop ■ Easy to adapt to local requirements and needs ■ Well designed data model implemented in an industry-standard database tool ■ Possible to integrate with external systems e.g. simulation models, publication tools, data dissemination routines, GIS, etc ■ Easy to use – (or easy enough to use…)

4 Special needs for hydrological systems(1) - not necessarily covered by more general systems, e.g. meteorological systems ■ Flexible storing: ■ Flexible handling of different parameters and measuring units (easy for user to add new data types) ■ Handling of different time steps of the observations (e.g. day, 12 hours, 6 hours, 3 hours, 1 hour, 30 minutes, 15 minutes and 1 minute) ■ Support of non- fixed time steps

5 Special needs for hydrological systems(2) ■ Data input: ■ File input Flexible and well documented file formats Ability to include metadata in import-files (unit, parameter, data source, gauging principle) ■ Support for automated input of data from data loggers and data acquisition systems ■ Manual input: Tool for digitalizing paper charts (limnigramme ) User interface for manual registration Hydro- logical data- base Automatic processing Automatic data transmission

6 Special needs for hydrological systems(3) ■ Rating curves: ■ Software tool for calculation of the rating curve equation ■ Recalculation of discharge in case of rating curve revisions ■ Handling of rating curves based on multiple segments ■ Different rating curves for different time periods

7 ■ Hydrological analysis: ■ Flood frequency analysis ■ Low flow (drought) analysis ■ Volume (summation) calculations of various types ■ Flow duration curves (e.g. for hydropower planning) Special needs for hydrological systems(4)

8 Special needs for hydrological systems(5) ■ Quality control program: ■ Interactive graphical corrections ■ Comparison of different stations ■ Plausibility check ■ Other relevant auxiliary information

9 The importance of hydrological information system for flood forecasting ■ Streamlined and automated routines for data retrieval and data import ■ Data base and data structure support high level of service availability ■ Historical data and real time data available in same system ■ compare current situation with older events ■ Storing of forecasts in the HIS opens for easy comparison of forecasts vs. observations ■ Evaluate the goodness of the prognosis

10 New IT-tools → new working routines? ■ Traditional work routines: ■ Every office/work group handle data separately ■ Local data collection ■ Local data storing (often in spreadsheets) Flood prognosis office Statistics and analysis group Regional office Local IT- system/files Products Data collection Hydrometric station

11 Streamline the routines! ■ Shared routines ■ Phase out duplicated work flow Shared database Shared tools (analysis, models, presentation etc.) Hydrometric station Data collection Flood prognosis office Statistics and analysis group Regional office Quality control

12 Two possible roads to follow: 2. Buy a commercial HIS +Fast in production +Tested software +Less costly (but not cheap) +Available support -General system Not fine tuned for local needs -Priced pr user (usually) -Dependent of supplier Desired new functionality might not be approbated by the supplier 1. Local development +Complete control with source code +Adapt to all local needs +Easy to add new modules and functionality +Scale with no extra cost -Long time development -Hard to keep up with new IT-technology -Costly (in man-labour)

13 Conclusion ■ Well designed software is essential to ■ produce hydrological data of high quality ■ reduce need of manpower ■ secure long term storing of data ■ make data available to all users and systems – including the flood forecasting routines ■ publish data to the public

14 Thanks for your attention! and don’t forget to have fun in the water too…..