Volume XIX |

Flood Mapping and Estimation of Flood Water-Level Using Fuzzy Method and Remote Sensing Imagery (Case Study: Golestan Province, Iran)

Abstract: Recently, the heavy precipitation occurred across the north of Iran caused an unprecedented flood. Due to the topographic conditions of the study area, not paying attention to the regular dredging of the river has caused a lot of problems for the local people. On the other hand, due to the frequent rainfall, the occurrence of flooding for a long time was another major problem. The combination of Remote Sensing and GIS can make a substantial contribution to flood assessment and management. In the present study, a fuzzy method is developed to show the hidden potential of Landsat satellite images for flood mapping. This paper presents the process of rapid access to water level information, which can provide valuable data for decision makers. The overall accuracy obtained for the flooded and damaged area is 87.23% and 46% respectively, and Root Mean Square Error (RMSE) of 27.68 cm is obtained for water-level based in the proposed algorithm.

Volume XVIII |

A Belief-Desire-Intention Agent-based procedure for urban land growth simulation. A case study of Tehran Metropolitan Region, Iran

Abstract: Urbanization, growth of urban areas, is a process that has been growing rapidly during the last two decades. This phenomenon affects aerobiological, economical, industrial, ecological processes, social control, and the family. Hence, the prediction of the urban area extent has an important role in the future decision of the municipality. Multi-Agent System (MAS) is a proper tool for simulation and modeling process, which has been used for solving different types of spatial and non-spatial problems. In this article, we use MAS for urban simulation in the rural area around Tehran, which is the most populated and the fastest-growing city of Iran. In this paper, the behavior of three groups of agents: environmentalist, industrialist, and resident are simulated. These three groups are the dominant and influential population in the formation of urban texture. In this research, the behavior of these three groups of agents is specified, according to a series of map layers, such as slope, aspect, soil type, distance of urban areas, roads, and so on. The Belief-Desire-Intention (BDI) architecture of agents is used for the simulation, which is defined based on some variables, functions, and coefficients. The simulation is carried out based on two different interaction scenarios: Rational and Nash-Equilibria. The future urban area is predicted by a combination of MAS and spatial urban area. To evaluate the proposed model, the comparison of the predicted area is made at different times and scenarios. The results of implementation in different scenarios show that the residents of the study area follow the Nash-Equilibria interaction with Kappa Coefficient accuracy of 0.8104.