scholarly journals Developing a Decision Support System for Water Resources Dispatching

2021 ◽  
Author(s):  
Yu Feng ◽  
Jijun Xu ◽  
Weirong Sheng ◽  
Jitian Chen ◽  
Yang Hong

Contradiction between water demand and water supply have a huge impact on social and economic development. This paper presents the development of a water resources dispatch decision support system. The system integrates models related to water dispatch such as streamflow forecast model, water allocation model and water dispatch model. Each model runs as an independent service and is registered in the model platform. The model platform interacts with the service layer and data layer through the model adapter. The model adapter is designed for converting the model input data sent by the service layer and the basic data and observation data queried by the data layer into the format required by the model. In case study, we took the Fu River Basin as an example to demonstrate an application of the system. The system realizes the complete process of data collection, streamflow forecast, water demand declaration, water distribution and water dispatch. User can get the recommended operation plan of the reservoir and the corresponding water supply result through the user interface. Process variables can also be viewed through the system, such as streamflow forecast results and water distribution results, etc. The proposed system can provide technical support and assistance for the decision makers, which also provide an effective demonstration for water resources management in other rivers.

2013 ◽  
Vol 405-408 ◽  
pp. 2161-2166
Author(s):  
Ke Peng Feng ◽  
Jun Cang Tian

The decision support system (DSS) developed to support the management of the water resource system of Ningxia are presented. The DSS includes information component system that performs data acquisition, management and visualization. In GIS module, Google Earth and ArcGIS are integrated, through KML (KMZ) files for data exchange, provides integrated services and decision support for the management of water resources. Model component performs simulation and optimization of the water resources. The models, which are the focus of the present work, reorganized into two main parts. The first one is water demand forecast model, which, based on the analysis of historical hydrological data, generates forecasts of the water demand amount. The second one allows the detailed study of the water resources implementing the optimization methodology. The mathematical method performs the allocation of the water resources to the different system components, keeping the number of control variables small, even for complex water resources like the one under study. The DSS is now in the final stage of its development and its results, some of which are summarized in the paper, have been utilized to support the water resources management. This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications. The best is to read these instructions and follow the outline of this text.


2013 ◽  
Vol 4 (3) ◽  
pp. 68-79 ◽  
Author(s):  
Mas S. Mohktar ◽  
Kezhang Lin ◽  
Stephen J. Redmond ◽  
Jim Basilakis ◽  
Nigel H. Lovell

A decision support system (DSS) that has been designed to manage patients using a home telehealth system is presented. The DSS has been developed to assist home telehealth clinical support staff with their workload, and to provide more effective communication between multiple home telehealth users. The three-tier system architecture that consists of a data layer; a business logic layer; and a front-end layer employs business processes and uses a rule engine for its logic and knowledge base. This paper discusses the design considerations involved in the construction of a DSS for the purpose of home telehealth, and illustrates how it may be developed using entirely open source software.


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