Using Bayesian Network to predict the watershed land use type of Çankırı Acıçay-Tatlıçay
In recent years, experts have identified that climate change and global warming affects stream flow regime. These changes cause floods and erosion in creeks, streams, rivers etc. Especially in semi-arid watersheds, the structure of the land usage type is an important factor in preventing possible di...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Isparta University of Applied Sciences Faculty of Forestry
2017-11-01
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| Series: | Turkish Journal of Forestry |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/pub/tjf/issue/32360/315398?publisher=iubu |
| _version_ | 1828020139797250048 |
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| author | Semih Ediş Efehan Ulaş |
| author_facet | Semih Ediş Efehan Ulaş |
| author_sort | Semih Ediş |
| collection | DOAJ |
| description | In recent years, experts have identified that climate change
and global warming affects stream flow regime. These changes cause floods and
erosion in creeks, streams, rivers etc. Especially in semi-arid watersheds, the
structure of the land usage type is an important factor in preventing possible
disasters. The aim of this study is to determine watershed land usage type by
using hydro-morphological structure of stream and some physical water quality
parameters. To do so, hydro-morphological observations and some physical water
quality parameters were collected from 513 different points in Acıçay and
Tatlıçay watershed. For this purpose, four different Bayesian network scenarios
were considered to see the changes in the type of the land use. In this scenario,
the prediction probability of the watershed land usage type was determined with
different parameters. In conclusion, coniferous forest was predicted with the
highest probability rate of %97. |
| first_indexed | 2024-04-10T11:32:52Z |
| format | Article |
| id | doaj.art-2abcb0f121714dcb93debc652b7040fb |
| institution | Directory Open Access Journal |
| issn | 2149-3898 |
| language | English |
| last_indexed | 2024-04-10T11:32:52Z |
| publishDate | 2017-11-01 |
| publisher | Isparta University of Applied Sciences Faculty of Forestry |
| record_format | Article |
| series | Turkish Journal of Forestry |
| spelling | doaj.art-2abcb0f121714dcb93debc652b7040fb2023-02-15T16:17:58ZengIsparta University of Applied Sciences Faculty of ForestryTurkish Journal of Forestry2149-38982017-11-0118321221810.18182/tjf.3153981656Using Bayesian Network to predict the watershed land use type of Çankırı Acıçay-TatlıçaySemih Ediş0Efehan Ulaş1ÇANKIRI KARATEKİN ÜNİVERSİTESİ, ORMAN FAKÜLTESİ, ORMAN MÜHENDİSLİĞİ BÖLÜMÜÇANKIRI KARATEKİN ÜNİVERSİTESİ, FEN FAKÜLTESİ, İSTATİSTİK BÖLÜMÜIn recent years, experts have identified that climate change and global warming affects stream flow regime. These changes cause floods and erosion in creeks, streams, rivers etc. Especially in semi-arid watersheds, the structure of the land usage type is an important factor in preventing possible disasters. The aim of this study is to determine watershed land usage type by using hydro-morphological structure of stream and some physical water quality parameters. To do so, hydro-morphological observations and some physical water quality parameters were collected from 513 different points in Acıçay and Tatlıçay watershed. For this purpose, four different Bayesian network scenarios were considered to see the changes in the type of the land use. In this scenario, the prediction probability of the watershed land usage type was determined with different parameters. In conclusion, coniferous forest was predicted with the highest probability rate of %97.https://dergipark.org.tr/tr/pub/tjf/issue/32360/315398?publisher=iububayes ağlarıarazi kullanma türürosgen dere sınıfıçankırıçankırıbayesian networkland use typerosgen stream classificationçankırı |
| spellingShingle | Semih Ediş Efehan Ulaş Using Bayesian Network to predict the watershed land use type of Çankırı Acıçay-Tatlıçay Turkish Journal of Forestry bayes ağları arazi kullanma türü rosgen dere sınıfı çankırı çankırı bayesian network land use type rosgen stream classification çankırı |
| title | Using Bayesian Network to predict the watershed land use type of Çankırı Acıçay-Tatlıçay |
| title_full | Using Bayesian Network to predict the watershed land use type of Çankırı Acıçay-Tatlıçay |
| title_fullStr | Using Bayesian Network to predict the watershed land use type of Çankırı Acıçay-Tatlıçay |
| title_full_unstemmed | Using Bayesian Network to predict the watershed land use type of Çankırı Acıçay-Tatlıçay |
| title_short | Using Bayesian Network to predict the watershed land use type of Çankırı Acıçay-Tatlıçay |
| title_sort | using bayesian network to predict the watershed land use type of cankiri acicay tatlicay |
| topic | bayes ağları arazi kullanma türü rosgen dere sınıfı çankırı çankırı bayesian network land use type rosgen stream classification çankırı |
| url | https://dergipark.org.tr/tr/pub/tjf/issue/32360/315398?publisher=iubu |
| work_keys_str_mv | AT semihedis usingbayesiannetworktopredictthewatershedlandusetypeofcankırıacıcaytatlıcay AT efehanulas usingbayesiannetworktopredictthewatershedlandusetypeofcankırıacıcaytatlıcay |