Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Tahsin Baykal"'
Publikováno v:
Water Practice and Technology, Vol 18, Iss 10, Pp 2401-2414 (2023)
Estimation accuracy of streamflow values is of great importance in terms of long-term planning of water resources and taking measures against disasters such as drought and flood. The flow formed in a river basin has a complex physical structure that
Externí odkaz:
https://doaj.org/article/7b5a122b4c424ce7bcfe1c1324343fd8
Publikováno v:
Doğal Afetler ve Çevre Dergisi, Vol 9, Iss 1, Pp 90-100 (2023)
There is an increase in drought events with climate change. Drought is a disaster that occurs over long periods of time for large areas compared to other natural disasters. For this reason, it is important to forecast the drought and take precaution
Externí odkaz:
https://doaj.org/article/ab310247b39c4d61b821d9cacc4aa591
Autor:
Tahsin Baykal, Özlem Terzi
Publikováno v:
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 9, Iss 4, Pp 1408-1419 (2021)
Buharlaşma, yeryüzünde bulunan suyun atmosfere transferi olarak tanımlanabilmektedir. Buharlaşma miktarının doğru tahmini özellikle kurak dönemler ve kurak alanlarda büyük öneme sahiptir. Buharlaşma, karmaşık ve doğrusal olmayan bir
Externí odkaz:
https://doaj.org/article/06781fe73cf841b8b3fe24bc6d2dc307
Publikováno v:
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 7, Iss 1, Pp 124-135 (2019)
Drought estimation is important considering the harmful effects of the climate change in recent years. In this study, various models are developed with data mining technique for the drought estimation of Çanakkale, Turkey. Standardized precipitation
Externí odkaz:
https://doaj.org/article/10976f6ba06f4bfda446a0edf2159c1f
Publikováno v:
Doğal Afetler ve Çevre Dergisi. :90-100
İklim değişikliği ile birlikte kuraklık olaylarında artışlar meydana gelmektedir. Kuraklık, diğer doğal afetlere göre geniş alanlar için uzun zaman dilimlerinde meydana gelen bir afettir. Bu nedenle, kuraklığın önceden tahmin ediler
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cb26db0f121817a382ce12d641b946d
https://doi.org/10.21324/dacd.1165500
https://doi.org/10.21324/dacd.1165500
The accurate prediction of drought events is important to relieve the negative consequences on water resources, ecosystems, and agriculture. Machine learning algorithms require less time and minimum input and are promising methods to predict drought
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfea1caa1c51368ad8b2e462affb2dae
https://doi.org/10.21203/rs.3.rs-2897349/v1
https://doi.org/10.21203/rs.3.rs-2897349/v1
Groundwater provides most of the freshwater needs such as drinking, irrigation and industry. As a result of increasing population, urbanization and industrialization, groundwater resources are faced with the risk of decreasing and pollution. For this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::950f8d5aab6a61b3b93129ecfe7b9438
https://doi.org/10.21203/rs.3.rs-2887151/v1
https://doi.org/10.21203/rs.3.rs-2887151/v1
Publikováno v:
Scientia Iranica.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ffbbdc76e37e90fdca80a10deae5bc1
https://doi.org/10.24200/sci.2023.60144.6626
https://doi.org/10.24200/sci.2023.60144.6626
Publikováno v:
Iranian Journal of Science and Technology, Transactions of Civil Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5904628c025badf5b2d14138965c777d
https://doi.org/10.1007/s40996-023-01055-4
https://doi.org/10.1007/s40996-023-01055-4
Autor:
Tahsin Baykal, Özlem Terzi
Publikováno v:
Düzce Üniversitesi Bilim ve Teknoloji Dergisi. 9:1408-1419
Buharlaşma, yeryüzünde bulunan suyun atmosfere transferi olarak tanımlanabilmektedir. Buharlaşma miktarının doğru tahmini özellikle kurak dönemler ve kurak alanlarda büyük öneme sahiptir. Buharlaşma, karmaşık ve doğrusal olmayan bir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78bf97769e567faa572b5df345b9d003
https://doi.org/10.29130/dubited.893673
https://doi.org/10.29130/dubited.893673