%0 Journal Article %T Designing and Developing a Web-Based Decision Support System in Order to Improve Water Quantity and Quality in the Bonekooh Watershed %J Iranian journal of Ecohydrology %I Faculty of New Sciences and Technologies, University of Tehran %Z 2423-6098 %A Alvandi, Ehsan %A Sadoddin, Amir %A Sheikh, Vahedberdi %D 2019 %\ 12/22/2019 %V 6 %N 4 %P 849-863 %! Designing and Developing a Web-Based Decision Support System in Order to Improve Water Quantity and Quality in the Bonekooh Watershed %K Best Management Practices (BMPs) %K Multicriteria Decision Making (MCDM) %K Participatory management %K the Hable-Rud River Basin %R 10.22059/ije.2019.277816.1070 %X In this research, a web-based decision support system was designed and developed to improve water quantity and quality status in the Bonekooh watershed, Hable-rud River Basin, through introducing the characteristics of the watershed in a systemic manner and introducing possible solutions and choosing the best management practices. In this research, subsequent to identifying a set of management options, predicting the probable impacts of their implementation was achieved using hydrological, erosion, economic, social, and ecological models. MySQL environment was used to manage the data and generate the data base. Generating model base and multi criteria decision making analysis were done using PHP programing language. SAW and TOPSIS methods were used to prioritize the management options. In addition, HTML programing language was used to develop the graphical user interface. The developed system provides a brief introduction of the watershed characteristics in the form of the DPSIR systemic approach and then presents the problems structure and shows the cause and effect relations between the variables of the system in the form of a conceptual model. Then, a set of vegetation-based solutions and their spatial distribution are provided to the users. In the process of modeling the possible impacts of the proposed solutions and their different impacts are predicted and presented separately, considering all evaluation indices proportion. Finally, following assigning different weights to the evaluation indices by the users, results of prioritizing the management options are presented to the users using multi-criteria decision-making methods. In further studies, technical evaluations of features such as user-friendly graphical user interface, relationship of the components used in the proposed system, or concerns and priorities of users and the like can help to provide the final version of this system. %U https://ije.ut.ac.ir/article_73657_6c1e4f263c47bc5b17c06c142772d9ae.pdf