| DEVELOPING A CELLULAR AUTOMATA MODEL INTEGRATED WITH GIS FOR SIMULATING RAINFALL-RUNOFF PROCESS (CASE STUDY: BABOL CATCHMENT) |
| Paper ID : 1089-SMPR |
| Authors: |
|
Navid Mahdizadeh Gharakhanlou *1, Mohammad Saadi Mesgari2 1Geospatial Information Science Division, Faculty of Geodesy and Geomatics Engineering, and Center of Excellence in Geo-Information Technology, K.N. Toosi University of Technology, Tehran, Iran 2Associate Professor, Faculty of Geodesy and Geomatics, K.N.Toosi University of Technology, Tehran, Iran |
| Abstract: |
| The rainfall-runoff process is one of the fundamental aspects of hydrology. In the rainfall-runoff process, the addition of rainwater to the existing water in catchments and rivers may lead to a flood disaster. To provide proper management planning at catchments, knowing the runoff information is a fundamental need for water resources management and water engineering issues. The cellular automata (CA) are dynamical computational systems that have the ability in representing and simulating complex phenomena and it is very successful in modeling the natural phenomenon. The main objective of this research is to develop a CA model integrated with the geospatial information system (GIS) for simulating the rainfall-runoff process and calculating the runoff in the Babol catchment. The process of doing this paper has been carried out in two steps: firstly, in order to prepare the input data of the CA model, several analyzes are applied to the data in ArcGIS 10.3 software, and in the second step, the implementation of the CA model developed in the NetLogo 6.0.4 platform is explained. The total amount of runoff generated in each cell during the year 2016 was calculated and presented as the output of the research. A map of the total runoff generated can be as an important tool for flood management decision-makers and it can also be used as an effective tool for managing the catchment and assessing water resources in the study catchment. |
| Keywords: |
| Precipitation, Runoff, Curve number (CN), Antecedent moisture condition (AMC), Hydrologic soil group (HSG), Cellular automata (CA), Geospatial information system (GIS). |
| Status : Conditional Accept (Oral Presentation) |
