Prediction of Land Cover Changes in Horizon of 2028 through a Hybrid Model of Markov Chain and Cellular Automata;Catchment Area around Bazangan Lake Case Study
Introduction and Background Detection and prediction of changes are necessary for maintenance of an ecosystem particularly in rapidly-changing and often unplanned regions in developing countries. Aims This study predicts the land use changes in catchment area around Bazangan Lake for the year of 202...
Main Authors: | Marzieh Alikhah Asl, Farzaneh Rezvani |
---|---|
Format: | Article |
Language: | fas |
Published: |
Afarand Scholarly Publishing Institute
2018-10-01
|
Series: | تحقيقات جغرافيايی |
Subjects: | |
Online Access: | http://georesearch.ir/article-1-307-en.html |
Similar Items
-
Species diversity and ecological studies of phytoplankton in the Bazangan Lake
by: A. Gholami; H. Ejtehadi; F. Ghasemzadeh
Published: (2005-01-01) -
Identification before-after Forest Fire and Prediction of Mangrove Forest Based on Markov-Cellular Automata in Part of Sembilang National Park, Banyuasin, South Sumatra, Indonesia
by: Soni Darmawan, et al.
Published: (2020-11-01) -
ARAHAN PENGENDALIAN PERUBAHAN PENGGUNAAN LAHAN MENGGUNAKAN MARKOV - CELLULAR AUTOMATA DI KABUPATEN CIANJUR
by: Rani Yudarwati, et al.
Published: (2017-11-01) -
A MODEL OF UNDER-ICE ECOLOGICAL SYSTEM OF A LARGE LAKE BASED ON THE APPLICATION OF CELLULAR AUTOMATA
by: Vladimir Menshutkin, et al.
Published: (2016-05-01) -
Modelling spatial changes in coastal areas of Samsun (Turkey) using a Cellular Automata-Markov Chain method
by: Derya Ozturk
Published: (2017-01-01)