Next Article in Journal
Scenario-Based Impacts of Land Use and Climate Change on Land and Water Degradation from the Meso to Regional Scale
Next Article in Special Issue
Hydrologic Simulations Driven by Satellite Rainfall to Study the Hydroelectric Development Impacts on River Flow
Previous Article in Journal
Vulnerability Assessment of Environmental and Climate Change Impacts on Water Resources in Al Jabal Al Akhdar, Sultanate of Oman
Article Menu

Export Article

Open AccessArticle
Water 2014, 6(10), 3136-3151;

Development of a GIS-Based Decision Support System for Diagnosis of River System Health and Restoration

1,* , 1,†
College of Water Conservancy and Hydropower, Hohai University, 1 Xikang Road, Nanjing 210098, Jiangsu, China
China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Sciences and Technology, University of Mascara, Mascara 29000, Algeria
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Received: 22 July 2014 / Revised: 11 October 2014 / Accepted: 14 October 2014 / Published: 17 October 2014
View Full-Text   |   Download PDF [1335 KB, uploaded 9 June 2015]   |  


The development of a decision support system (DSS) to inform policy making has been progressing rapidly. This paper presents a generic framework and the development steps of a decision tool prototype of geographic information systems (GIS)-based decision support system of river health diagnosis (RHD-DSS). This system integrates data, calculation models, and human knowledge of river health status assessment, causal factors diagnosis, and restoration decision making to assist decision makers during river restoration and management in Zhejiang Province, China. Our RHD-DSS is composed of four main elements: the graphical user interface (GUI), the database, the model base, and the knowledge base. It has five functional components: the input module, the database management, the diagnostic indicators management, the assessment and diagnosis, and the visual result module. The system design is illustrated with particular emphasis on the development of the database, model schemas, diagnosis and analytical processing techniques, and map management design. Finally, the application of the prototype RHD-DSS is presented and implemented for Xinjiangtang River of Haining County in Zhejiang Province, China. This case study is used to demonstrate the advantages gained by the application of this system. We conclude that there is great potential for using the RHD-DSS to systematically manage river basins in order to effectively mitigate environmental issues. The proposed approach will provide river managers and designers with improved insight into river degradation conditions, thereby strengthening the assessment process and the administration of human activities in river management. View Full-Text
Keywords: decision support system (DSS); diagnosis; geographic information systems (GIS); river health decision support system (DSS); diagnosis; geographic information systems (GIS); river health

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Xia, J.; Lin, L.; Lin, J.; Nehal, L. Development of a GIS-Based Decision Support System for Diagnosis of River System Health and Restoration. Water 2014, 6, 3136-3151.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top