scholarly journals DEVELOPING A CELLULAR AUTOMATA MODEL FOR SIMULATING RAINFALL-RUNOFF PROCESS (CASE STUDY: BABOL CATCHMENT)

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 697-702
Author(s):  
N. Mahdizadeh Gharakhanlou ◽  
M. S. Mesgari
Keyword(s):  
Cellular Automata ◽  
Flood Management ◽  
Decision Makers ◽  
Second Step ◽  
Management Decision ◽  
Natural Phenomena ◽  
Rainfall Runoff ◽  
Cellular Automata Model ◽  
Ca Model

Abstract. The rainfall-runoff process is one of the central aspects of hydrology. In the rainfall-runoff process, the fast accumulation of rainwater in the catchments and rivers may lead to a flood disaster. To prevent and manage such disasters, it is essential to model and simulate the runoff process. The cellular automata (CA) is a computational model that can represent and simulate complex and dynamic natural phenomena. The main objective of this research is to develop a CA model of the rainfall-runoff process and to use it for simulating and representation of the runoff in the Babol catchment. The study is carried out in two main steps. First, several data manipulation and analyses in ArcGIS 10.3 software are used to prepare the input data of the CA model. In the second step, the CA model is developed and implemented in the NetLogo 6.0.4 platform. The total amount of runoff in each cell during the year 2016 was calculated and presented as the output of the model. A map of the total generated runoff can be an important tool for flood management decision-makers and it can also be used for managing the catchment and assessing the water resources in the study area.

A GIS-Based Irregular Cellular Automata Model of Land-Use Change

2007 ◽  
Vol 34 (4) ◽  
pp. 708-724 ◽  
Author(s):  
Daniel Stevens ◽  
Suzana Dragićević
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Spatial Data ◽  
Cellular Automata Model ◽  
Population Growth Rates ◽  
Asynchronous Development ◽  
Canadian City ◽  
Ca Model ◽  
Developing Area

This study proposes an alternative cellular automata (CA) model, which relaxes the traditional CA regular square grid and synchronous growth, and is designed for representations of land-use change in rural-urban fringe settings. The model uses high-resolution spatial data in the form of irregularly sized and shaped land parcels, and incorporates synchronous and asynchronous development in order to model more realistically land-use change at the land parcel scale. The model allows urban planners and other stakeholders to evaluate how different subdivision designs will influence development under varying population growth rates and buyer preferences. A model prototype has been developed in a common desktop GIS and applied to a rapidly developing area of a midsized Canadian city.

scholarly journals A Cellular Automata Model for Integrated Simulation of Land Use and Transport Interactions

2021 ◽  
Vol 10 (3) ◽  
pp. 149
Author(s):  
Nuno Pinto ◽  
António P. Antunes ◽  
Josep Roca
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Urban Studies ◽  
Particle Swarm Algorithm ◽  
Cellular Automata Model ◽  
Integrated Simulation ◽  
The Road ◽  
Ca Model ◽  
The City

Cellular automata (CA) models have been used in urban studies for dealing with land use change. Transport and accessibility are arguably the main drivers of urban change and have a direct influence on land use. Land use and transport interaction models deal with the complexity of this relationship using many different approaches. CA models incorporate these drivers, but usually consider transport (and accessibility) variables as exogenous. Our paper presents a CA model where transport variables are endogenous to the model and are calibrated along with the land use variables to capture the interdependent complexity of these phenomena. The model uses irregular cells and a variable neighborhood to simulate land use change, taking into account the effect of the road network. Calibration is performed through a particle swarm algorithm. We present an application of the model to a comparison of scenarios for the construction of a ring road in the city of Coimbra, Portugal. The results show the ability of the CA model to capture the influence of change of the transport network (and thus in accessibility) in the land use dynamics.

scholarly journals A Cellular Automata Model of the Relationship between Adverse Events and Regional Infrastructure Development in an Active War Theater

Technologies ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 54
Author(s):  
Bozkurt ◽  
Karwowski ◽  
Çakıt ◽  
Ahram
Keyword(s):  
Adverse Event ◽  
Cellular Automata ◽  
Adverse Events ◽  
Decision Makers ◽  
Development Projects ◽  
Infrastructure Development ◽  
Complex Interactions ◽  
Proposed Model ◽  
Ca Model ◽  
Complex Formations

This study presents a cellular automata (CA) model to assist decision-makers in understanding the effects of infrastructure development projects on adverse events in an active war theater. The adverse events are caused by terrorist activities that primarily target the civilian population in countries such as Afghanistan. In the CA-based model, cells in the same neighborhood synchronously interact with one another to determine their next states, and small changes in iteration yield to complex formations of adverse event risks. The results demonstrate that the proposed model can help in the evaluation of infrastructure development projects in relation to changes in the reported adverse events, as well as in the identification of the geographical locations, times, and impacts of such developments. The results also show that infrastructure development projects have different impacts on the reported adverse events. The CA modeling approach can be used to support decision-makers in allocating infrastructure development funds to stabilize active war regions with higher adverse event risks. Such models can also improve the understanding of the complex interactions between infrastructure development projects and adverse events.

scholarly journals STABILITY ANALYSIS OF CELLULAR AUTOMATA GENERATED CLUSTERS

2005 ◽  
Vol 12 (1) ◽  
pp. 83-90
Author(s):  
R. Šiugždaite
Keyword(s):  
Cellular Automata ◽  
Power Law ◽  
State Parameter ◽  
Urban System ◽  
Complex Behaviour ◽  
Cellular Automata Model ◽  
Self Organized ◽  
Tai Ji ◽  
Long Time ◽  
Ca Model

The development of regional urban system still remains one of the main problems during the human race history. There are a lot of problems inside this system like overcrowded cities and decaying countryside. All these situations can be reproduced by modelling them using Cellular Automata (CA) [1, 2, 5]. CA models implement algorithms with simple rules and parameter controls, but the result can be a complex behaviour. A stability of naturally formed self‐organized urban system depends on its critical state parameter τ in the power law log(f(x)) = ‐τlog(x). If the system reaches self‐organized critical (SOC) state then it remains in it for a long time. The CA model URBACAM (URBAnistic Cellular Automata Model) describes the long‐lasting term behaviour and shows that the change in behaviour is sensitive to the urban parameter τ of the power law. Regionines urbanistines sistemos vystymasis išlieka viena iš opiausiu problemu žmonijos istorijoje. Keletas tokiu uždaviniu kaip miestu perpildymas, nykstančios kaimo vietoves ir t.t. gali būti nesunkiai modeliuojami naudojant lasteliu automatus (LA). LA metodas ypatingas tuo, kad realizuoja algoritma paprastu taisykliu bei parametru valdymo pagalba, tačiau rezultate galima gauti sudetinga elgsena. Natūraliai susiformavusiu urbanistiniu sistemu stabilumas priklauso nuo sistemos krizines savirangos būsenos (KSB) parametro τ. Jei sistema pasiekia KSB, tai ji ilga laika išlieka joje. LA modelis URBACAM charakterizuoja ilgalaike elgsena ir parodo, jog modelyje jos kitimus itakoja eksponentinio desnio urbanistinis parametras τ.

THE CARRYING CAPACITY UNDER FOUR-ASPECT COLOR LIGHT AUTOMATIC BLOCK SIGNALING BASED ON CELLULAR AUTOMATA

2013 ◽  
Vol 27 (13) ◽  
pp. 1350090 ◽  
Author(s):  
YUAN XUE ◽  
YONG-SHENG QIAN ◽  
XIAO-PING GUANG ◽  
JUN-WEI ZENG ◽  
ZHI-LONG JIA ◽  
...  
Keyword(s):  
Control System ◽  
Cellular Automata ◽  
Carrying Capacity ◽  
Dynamic Control ◽  
Signal Control ◽  
Cellular Automata Model ◽  
Railway Signal ◽  
Control Pattern ◽  
Train Speed ◽  
Ca Model

With the application of the dynamic control system, Cellular Automata model has become a valued tool for the simulation of human behavior and traffic flow. As an integrated kind of railway signal-control pattern, the four-aspect color light automatic block signaling has accounted for 50% in the signal-control system in China. Thus, it is extremely important to calculate correctly its carrying capacity under the automatic block signaling. Based on this fact the paper proposes a new kind of "cellular automata model" for the four-aspect color light automatic block signaling under different speed states. It also presents rational rules for the express trains with higher speed overtaking trains with lower speed in a same or adjacent section and the departing rules in some intermediate stations. In it, the state of mixed-speed trains running in the section composed of many stations is simulated with CA model, and the train-running diagram is acquired accordingly. After analyzing the relevant simulation results, the needed data are achieved herewith for the variation of section carrying capacity, the average train delay, the train speed with the change of mixed proportion, as well as the distance between the adjacent stations.

scholarly journals Quick and accurate Cellular Automata sewer simulator

2014 ◽  
Vol 16 (6) ◽  
pp. 1359-1374 ◽  
Author(s):  
Rebecca J. Austin ◽  
Albert S. Chen ◽  
Dragan A. Savić ◽  
Slobodan Djordjević
Keyword(s):  
Cellular Automata ◽  
Real Time ◽  
Flow Conditions ◽  
Computationally Efficient ◽  
Real Time Control ◽  
Time Control ◽  
Ca Model ◽  
Control Of Networks ◽  
Expensive Model

As urbanisation and climate change progress, the frequency of flooding will increase. Each flood event causes damage to infrastructure and the environment. It is thus important to minimise the damage caused, which can be done through planning for events, real-time control of networks and risk management. To perform these actions, many different simulations of network behaviour are required involving complex and computationally expensive model runs. This makes fast (i.e. real-time or repetitive) simulations very difficult to carry out using traditional methods, thus there is a requirement to develop computationally efficient and accurate conceptual sewer simulators. A new Cellular Automata (CA) based sewer model is presented which is both fast and accurate. The CA model is Lagrangian in nature in that it represents the flow as blocks, and movement of the blocks through the system is simulated. To determine the number of blocks which should be moved it uses either the Manning's or Hazen–Williams equation depending on the flow conditions to calculate the permitted discharge. A case study of the sewer network in Keighley, Yorkshire, is carried out showing its performance in comparison to traditional sewer simulators. The benchmarks used to verify the results are SIPSON and SWMM5.

Modelling of Microstructure Changes During Hot Deformation Using Cellular Automata

2011 ◽  
Vol 56 (2) ◽  
pp. 523-532 ◽  
Author(s):  
D. Kuc ◽  
J. Gawąd
Keyword(s):  
Cellular Automata ◽  
Hot Deformation ◽  
Deformation Condition ◽  
Cellular Automata Model ◽  
Microstructure Changes ◽  
Average Dislocation Density ◽  
Transmission Electron ◽  
Ca Model ◽  
Ebsd Technique ◽  
Individual Grains

Modelling of Microstructure Changes During Hot Deformation Using Cellular AutomataThe paper is focused on an application of the cellular automata (CA) method to description of microstructure changes in continuous deformation condition. The model approach consists of Cellular Automata model of microstructure development and the thermal-mechanical finite element (FE) code. Dynamic recrystallization phenomenon is taken into account in 2D CA model which takes advantage of explicit representation of microstructure, including individual grains and grain boundaries. Flow stress is the main material parameter in mechanical part of FE and is calculated on the basis of average dislocation density obtained from the CA model. The results obtained from the model were validated with the experimental data. In the present study, austenitic steel X3CrNi18-10 was investigated. The examination of microstructure for the initial and final microstructures was carried out, using light microscopy, transmission electron microscopy and EBSD technique. Compression forces were recorded during the tests and flow stresses were determined using the inverse method.

A 2D CELLULAR AUTOMATA MODEL FOR TREE PROPAGATION IN NANOCOMPOSITES: INFLUENCE OF THE NANOPARTICLES SIZE, LOADING AND THE PRESENCE OF MICROVOIDS

NANO ◽  
2013 ◽  
Vol 08 (01) ◽  
pp. 1350002 ◽  
Author(s):  
DESPOINA PITSA ◽  
MICHAEL G. DANIKAS
Keyword(s):  
Cellular Automata ◽  
Polymer Nanocomposites ◽  
Polymer Nanocomposite ◽  
Epoxy Nanocomposites ◽  
Cellular Automata Model ◽  
Dc Voltage ◽  
Electrical Tree ◽  
Electrical Trees ◽  
Ca Model ◽  
Tree Length

Electrical tree propagation in a polymer nanocomposite is affected by the presence of nanoparticles. A 2D cellular automata (CA) model is presented for the simulation of electrical tree propagation in polymer nanocomposites. The effect of the nanoparticles size, the nanoparticles loading and the appearance of microvoids on electrical tree propagation in titania ( TiO2 )/epoxy nanocomposites under the application of DC voltage is examined with the aid of the CA model. It has been observed that the tree length is affected by nanoparticles size and nanoparticles loading. A resistance in electrical tree propagation has been noticed, as nanoparticles size decreases or as nanoparticles loading increases. The presence of microvoids in the polymer nanocomposite is another factor that has been examined. The propagation of electrical trees that initiate from microvoids in the polymer nanocomposite has also been simulated by the use of the CA model.

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