University of Tehran Press Journal of Ecohydrology 2423-6098 6 4 2019 12 22 Designing and Developing a Web-Based Decision Support System in Order to Improve Water Quantity and Quality in the Bonekooh Watershed Designing and Developing a Web-Based Decision Support System in Order to Improve Water Quantity and Quality in the Bonekooh Watershed 849 863 73657 10.22059/ije.2019.277816.1070 FA Ehsan Alvandi Ph.D. Student of Watershed Managment, Gorgan University of Agricultural Sciences and Natural Resources, Iran Amir Sadoddin Associate Professor, Department of Watershed Management, Gorgan University of Agricultural Sciences and Natural Resources, Iran 0000-0002-4192-4010 Vahedberdi Sheikh Associate Professor, Department of Watershed Management, Gorgan University of Agricultural Sciences and Natural Resources, Iran Journal Article 2019 02 09 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. 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. https://ije.ut.ac.ir/article_73657_2da02ef9dd0d2138f3f11948e1b692ac.pdf