Food Simulation Assuming a Large-Scale Disaster (original) (raw)
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Multi-Agent-based Household Transition Simulation Using Mesoscopic Model
Transactions of the Japanese Society for Artificial Intelligence, 2017
Cities are regarded to complex systems that are explained by various components and their interactions. Today, the more complex the components and interactions become, the harder to solve urban problems become. Due to their complexity, it is very hard to forecast the effect of urban policies and make effective ones as well. Sometimes policies are less effective than expected and do not lead to solving urban problems. If the natural and social dynamics by simulation models can be described well, we can assess and verify urban policies to solve various urban problems. Although there have already been such researches using macroscopic or microscopic models, in the former models the interactions between city components are not considered enough and in the latter models there are problems in showing their validity and data availability. Therefore, some researchers aim to integrate two or more models, each of which describe just one urban phenomena. Given that integrated models are consist of various simple component models, they are useful and suitable to evaluate urban policies. Now we think that households are quite important among such city components as decision makers. Our goal is to develop an integrated urban model including a land-use model, a finance model, a household model and so on. In this research, we propose a multi-agent-based household transition model as a basis of such integrated model. Our approach is to use a mesoscopic model that makes us to consider individuals and households. We validate our model through two simulations about Kanazawa and Yokohama, using their real statistic data.
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The Nankai Trough Earthquake Tsunami is predicted to occur in the near future in Japan. One of the countermeasures to be taken against the tsunami attack is to predict how long salt water carried by a riverrunup tsunami would stay in the river to prevent a water purification plant from taking in salt water. In this study, an application of a hybrid 2DH-3D model to salt water behavior caused by a river-runup tsunami was conducted. The hybrid model is useful for coupling of tsunami propagation from the wave source in 2DH to the flow in the estuary area in 3D, where the density current should be considerable. Two conditions of river flow rate were considered to analyze the effects on the vertically-distributed salinity transport. It was shown that although free surfaces were similar between 2DH and 3D models, significant vertical distributions of the density were present in the 3D region, indicating applicability of the hybrid model to the situation.
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Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering), 2016
With the increase of extreme climate events due to the global climate change, urban areas have been becoming more prone to flooding. The advancement of numerical prediction method for heavy rainfall is a key technology for early warning. The objectives of this study are twofold. One is to estimate the accuracy of WRF (Weather and Research Forecasting) model through its application to the heavy rains in Hiroshima City in August 2014. The other is to discuss the evolution of rainfall system that caused the heavy rains based on the numerical results. It is shown that high-resolution downscaled simulation with WRF can reasonably reproduce the spatio-temporal distributions of the heavy rains. The evolution of the rainfall system and hence the high precipitation intensity zone are found to be sensitive to high moisture transport through the Bungo channel to Hiroshima city.