Results 41 to 50 of about 1,281,075 (152)

Comparison of different techniques in determining groundwater levels trends in Türkiye

open access: yesHydrological Processes, Volume 38, Issue 8, August 2024.
GWL trends are analysed at the monthly, seasonal, and annual scales using a combination of techniques, such as Mann‐Kendall, Sen's Slope, Innovative Polygon Trend Analysis (IPTA), and Innovative Trend Analysis (ITA), using data monitored between 1987 and 2022 in seven wells in Turkey.
Veysi Kartal   +3 more
wiley   +1 more source

Formative drought rate to quantify propagation from meteorological to hydrological drought

open access: yesHydrological Processes, Volume 38, Issue 7, July 2024.
Formative drought rate (FDR) is a novel method introduced to describe drought propagation. It quantifies the probability of propagation from meteorological drought to hydrological drought and thus delivers useful information for mitigation of probable drought events before they happen.
Isilsu Yildirim   +2 more
wiley   +1 more source

THE PREDICTION OF FLOW-RATE AND NUTRIENT LOAD IN ERGENE RIVER BASIN THROUGH ARTIFICIAL NEURAL NETWORKS

open access: yes, 2014
This study aims to predict the highest rate of monthly average flow and load change in Ergene River, one of the most contaminated rivers of Turkey and having a high flood frequency.
Şeker, Dursun Zafer   +3 more
core   +2 more sources

Trakya’da Ergene Nehri Kirliliğinin Tarım Üretimine Olan Etkisi: Edirne Örneği

open access: yesKaradeniz Fen Bilimleri Dergisi, 2011
Trakya’da yer alan Ergene Nehri 25 yıl öncesine kadar tarımın can damarı olarak bilinmekteydi. Günümüzde sanayi tesisleri, kentsel ve evsel atıklar ile tarımda kullanılan suni gübre ve ilaçlardan dolayı aşırı şekilde kirlenmiş durumdadır.
Hakkı KOCAMAN   +2 more
doaj  

Population Genetic Structure of Petroleuciscus borysthenicus (Kessler 1859) in Northwestern Türkiye Using Mitochondrial COX1 Gene

open access: yesJournal of Applied Ichthyology, Volume 2024, Issue 1, 2024.
Petroleuciscus borysthenicus is a species with a wide distribution from the eastern, western, and northern Black Sea and Azov Sea basins, the Aegean Sea basin, and Northwestern Türkiye. However, there has been relatively little attention on the genetic variability of this species in their native distribution range, and nearly no study has been ...
Sevan Ağdamar   +6 more
wiley   +1 more source

THE PREDICTION OF FLOW-RATE AND NUTRIENT LOAD IN ERGENE RIVER BASIN THROUGH ARTIFICIAL NEURAL NETWORKS

open access: yes, 2021
This study aims to predict the highest rate of monthly average flow and load change in Ergene River, one of the most contaminated rivers of Turkey and having a high flood frequency.
Şeker, Dursun Zafer   +3 more
core  

Determination of heavy metals in Ergene River by extraction method [PDF]

open access: yes, 2006
Yüksek Lisans TeziBu araştırmada, Trakya Bölgesi'nde bulunan Ergene Nehri'nin endüstriyel atıklar sonucunda oluşan, özellikle ağır metalce kirliliğinin tespit edilmesi amaçlanmıştır.
Gökdemir, Yeşim
core   +1 more source

BACTERIAL COMPOSITION INHABITING WATER COLUMN AND BOTTOM SEDIMENT IN TWO DIFFERENT RUNNING WATER ECOSYSTEMS OF MERIC-ERGENE RIVER BASIN (TURKISH THRACE)

open access: yes, 2017
This study has been carried out to determine the presence and distribution of total heterotrophic bacteria (THB), coliform bacteria (CB), faecal coliform bacteria (FCB) and Escherichia coli bacteria inhabiting different running waters of Meric-Ergene ...
Elipek, Belgin Camur   +1 more
core   +1 more source

AEROBIC BIODEGRADATION OF DOMINANT MICROPOLLUTANTS IN THE ERGENE RIVER BY RIVER MICROCOSMS AND PURE CULTURES OF BACTERIA

open access: yes, 2019
The Ergene River is the most polluted surface water in Turkey. A great number of micropollutants, which have potential toxic and endocrine-disruptive effects and play a role in antibiotic resistance, are identified in the Ergene River. Once discharged into the environment, micropollutants are exposed to various natural attenuation processes such as ...
openaire   +2 more sources

Weekly Flow Prediction of Ergene River Using an Artificial Neural Network Based Solution Approach

open access: yesEPiC Series in Engineering, 2018
The objective of this study is to develop an artificial neural network (ANN) based solution approach to predict the weekly flows of Ergene River which is the largest river in Thrace region of Turkey. In the developed approach, precipitation – flow data relationships have been investigated in order to establish the best model structure to predict ...
Ayvaz, Mustafa Tamer   +3 more
openaire   +4 more sources

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