عنوان

بررسی تغییرات دینامیک رواناب با بهره‌صگیری از نظریه آشوب و مدل اتومای سلولی

Number

‭۱۱۸۹۷پ‬

.Language of Text, Soundtrack etc

per

Title Proper

بررسی تغییرات دینامیک رواناب با بهره‌صگیری از نظریه آشوب و مدل اتومای سلولی

First Statement of Responsibility

/لیلا ملکانی

Name of Publisher, Distributor, etc.

: عمران

Text of Note

چاپی

Dissertation or thesis details and type of degree

دکتری

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عمرا - آب

Date of degree

‮‭۱۳۹۳/۱۱/۲۵‬

Body granting the degree

تبریز

Text of Note

Study the dynamics of runoff in the watersheds and how influence of the morphological characteristics and climate in it, is very important in solving water engineering problems. In this thesis, the dynamic behavior of the runoff of the Lighvanchai catchment and Middle Fork catchment which are located in the northwest of the Iran and in United States respectively is studied using Cellular automata (CA) and chaos theory. CA method is a simulation model which because of its capabilities and features use in different fields such as hydrology and hydraulic. In this method, catchment defined as a lattice of cells. By repeat a set of the simple ruleson each of cells, and interactions between cells, allows the CA to calculate the amount of runoff in each cel and modeling runoff. This model is dependent on GIS and satellite imagery and in it is used various information such as DEM, land use, hydrologic hydrologic soil groups, and precipitation and used form of raster data. Monthly precipitation during the study period was prepared by optimal IDW method. Depth of runoff calculated using SCS method. Routing of runoff of the upstream to downstream with respect to a set of rules known as example the continuity equation and energy conservation, using D8 algorithm, and ultimately runoff from rainfall in all cells is determined. Comparison between simulated runoff with observed at stations located in the basin indicate high accuracy and ability of model to meet the objectives of the research .After runoff at each point of the basin simulated using cellular Automata, the dynamic behavior of runoff examined using chaos theory. Reconstruction of Phase Space in chaos theory using of Concepts like Delay time, Embedding Dimension, Correlation Dimension, Lyapunov Exponent identifies valuable information such as the degree of complexity, number of dependent variables and prediction horizon. This information is very helpful in our understanding of the phenomenon and it helps to choose the appropriate model for modeling. For Lighvan catchment in six points and Middle Fork catchment in four points, time series of runoff extraction and then chaotic parameters are calculated. Analysis of the results showed that the correlation has increased from upstream to downstream which constitutes the increasing complexity and number of required variables for modeling and if the physiographic and climatic conditions of catchment be heterogeneous, changes will be high. Delay times and prediction horizon do not have relationship with position of the points and values are fairly similar to each other.

ملکانی، لیلا

اعلمی، محمد تقی، استاد راهنما

قربانی، محمد علی، استاد مشاور

Public note

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