scholarly journals A GIS-Based Decision-Support Tool for Integrated Water Resources Management in the Middle Olifants River System

GI_Forum ◽  
2015 ◽  
Vol 1 ◽  
pp. 610-613
Author(s):  
Christian Jolk ◽  
Harro Stolpe ◽  
Roman Wössner ◽  
Andreas Abecker
Keyword(s):  
Decision Support ◽  
Water Resources ◽  
Water Resources Management ◽  
River System ◽  
Decision Support Tool ◽  
Integrated Water Resources Management ◽  
Support Tool ◽  
Resources Management ◽  
Olifants River

scholarly journals Planning and Decision Support Tools for the Integrated Water Resources Management in Vietnam

Water ◽  
2010 ◽  
Vol 2 (4) ◽  
pp. 711-725 ◽  
Author(s):  
Christian Jolk ◽  
Sandra Greassidis ◽  
Sylvia Jaschinski ◽  
Harro Stolpe ◽  
Björn Zindler
Keyword(s):  
Decision Support ◽  
Water Resources ◽  
Water Resources Management ◽  
Integrated Water Resources Management ◽  
Decision Support Tools ◽  
Resources Management ◽  
Support Tools

scholarly journals Development and implementation of an Integrated Water Resources Management System (IWRMS)

2011 ◽  
Vol 7 (1) ◽  
pp. 83-90 ◽  
Author(s):  
W.-A. Flügel ◽  
C. Busch
Keyword(s):  
Decision Support ◽  
Water Resources ◽  
River Basin ◽  
Water Resources Management ◽  
Management System ◽  
Integrated Water Resources Management ◽  
Time Saving ◽  
Web Based ◽  
Resources Management ◽  
Different Types

Abstract. One of the innovative objectives in the EC project BRAHMATWINN was the development of a stakeholder oriented Integrated Water Resources Management System (IWRMS). The toolset integrates the findings of the project and presents it in a user friendly way for decision support in sustainable integrated water resources management (IWRM) in river basins. IWRMS is a framework, which integrates different types of basin information and which supports the development of IWRM options for climate change mitigation. It is based on the River Basin Information System (RBIS) data models and delivers a graphical user interface for stakeholders. A special interface was developed for the integration of the enhanced DANUBIA model input and the NetSyMod model with its Mulino decision support system (mulino mDss) component. The web based IWRMS contains and combines different types of data and methods to provide river basin data and information for decision support. IWRMS is based on a three tier software framework which uses (i) html/javascript at the client tier, (ii) PHP programming language to realize the application tier, and (iii) a postgresql/postgis database tier to manage and storage all data, except the DANUBIA modelling raw data, which are file based and registered in the database tier. All three tiers can reside on one or different computers and are adapted to the local hardware infrastructure. IWRMS as well as RBIS are based on Open Source Software (OSS) components and flexible and time saving access to that database is guaranteed by web-based interfaces for data visualization and retrieval. The IWRMS is accessible via the BRAHMATWINN homepage: http://www.brahmatwinn.uni-jena.de and a user manual for the RBIS is available for download as well.

scholarly journals ROLE OF DECISION SUPPORT SYSTEM FOR RIVER POLLUTION CONTROL

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Ajay Pradhan ◽  
Raveendra Kumar Rai
Keyword(s):  
Decision Support ◽  
Water Resources ◽  
Decision Support System ◽  
Water Resources Management ◽  
Support System ◽  
Pollution Control ◽  
Environmental Flows ◽  
Integrated Water Resources Management ◽  
Resources Management

Due to continuous population growth and industrialization along with intensive agriculture to meet food demand, good quality water has become rare in most of the basins of India. Up to the last decade, to solve the water related issues in India, water quantity and quality were considered individually; and it was realized that individual consideration of these parameters will not solve the problem for long term. Therefore, at present, a concept of integrated water resources management has been encouraged to manage the water resources and pollution control in the rivers. In the present study, an efficacy of a decision support system (DSS) has been presented for the Yamuna River to augment the good quality of water as environmental flows, which include the hydrology, natural resources, pollution, socio-economics, infrastructural development, etc of the basin. Using the DSS, numbers of possible scenarios were tested and it is revealed that installation of sewage treatment plants (STPs) alone cannot improve the water quality of the river when river is highly intercepted. To ensure the environmental flows in the river, integrated water resources management has become important at micro-watershed level

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