ecozone editura ecozone iasi
Reviste:

» Environmental Engineering and Management Journal

» European Journal of Science and Theology

» Sănătate Sport și Nutriție


» Autentificare

E-mail:
Parola:
   
  Cont nou
Va rugam sa va autentificati pentru a putea comanda carti

» Cautare

  » Ultimele cautari

MERGING EARTH OBSERVATION DATA, WEATHER PREDICTIONS, IN-SITU MEASUREMENTS AND HYDROLOGICAL MODELS FOR WATER INFORMATION SERVICES
Autori: Isnaeni M. Hartanto
Data aparitiei: Septembrie / 2015
Revista: Environmental Engineering and Management JournalVol. 14Nr. 9
ISSN: 1843 - 3707
Pret: 25.00 RON    
N.A.

Abstract
There is an increasing variety of hydrometeorological information sources available for operational water management. These
comprise in-situ measurements, Earth Observation, meteorological models, and hydrological models. The effective use of all
these information sources together is challenged by two aspects. First, there is an information and communication technology
(ICT) challenge of acquiring, processing, merging, and presenting the various data streams operationally. Secondly, there are
methodological gaps on how to integrate multiple hydrometeorological information sources in a useful way. An information
system, the MyWater platform, has been developed to cope with the technological challenges. This platform allows setting-up
automatic service chains, e.g. for flood early warning or drought monitoring, with customised output results and visualisation. The
objectives of the paper presented hereafter are to introduce the range of hydrometeorological information sources available, and to
implement the MyWater platform to combine these for hydrological model simulation operationally. The case study of the
Umbeluzi catchment in Southern Africa was selected as example. A SWAT hydrological model was developed and forced with
precipitation input from two different meteorological models in addition to scarce rain gauges. A successful operational test
period showed that ICT for Water has developed such that information availability does not have to be a limiting factor in
complex water management services. Platforms such as MyWater facilitate hindcast analysis and multi-variate and multidimensional
(space-time) cross-validation of hydrological model predictions. The platform has strong capability in handling a
wide array of spatial and time series data. And it has highly customisable visualisation, workspace design, and reporting tools, and
is as a whole focussed on intuitive ease of use. The MyWater platform development is part of MyWater Project from EU FP7.



Sus

Acasa · Carti editate · Reviste · Despre editura · Abonament · Contact · Cos cumparaturi · Cum platesc? · Termeni si conditii
VisaMaster CardPayU

2001 - 2024 © Copyright Editura EcoZone Iasi Toate drepturile sunt rezervate.
Gazduire skaleweb.ro

SkaleWeb