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Selçuk Soyupak
Selçuk Soyupak
Atılım Üniversitesi, Orta Doğu Teknik Üniversitesi, University of Waterloo, Ankara Üniversitesi, Mc
Verified email at karatay.edu.tr
Title
Cited by
Cited by
Year
Case studies on the use of neural networks in eutrophication modeling
C Karul, S Soyupak, AF Çilesiz, N Akbay, E Germen
Ecological modelling 134 (2-3), 145-152, 2000
2752000
Modelling of Leachate Organic Migration and Attenuation Below Sanitary Landfills
F Sykes, Soyupak
Water Resources Research 18 (1), 135-145, 1982
95*1982
A neural network-based approach for calculating dissolved oxygen profiles in reservoirs
S Soyupak, F Karaer, H Gürbüz, E Kivrak, E Sentürk, A Yazici
Neural Computing & Applications 12, 166-172, 2003
782003
A three-dimensional water quality-macrophyte interaction model for shallow lakes
AB Muhammetoğlu, S Soyupak
Ecological Modelling 133 (3), 161-180, 2000
772000
Seasonal distribution of large phytoplankton in the Keban Dam Reservoir.
N Akbay, N Anul, S Yerli, S Soyupak, C Yurteri
Journal of Plankton Research 21 (4), 1999
721999
Impact assessment of different management scenarios on water quality of Porsuk river and dam system–Turkey
A Muhammetoglu, H Muhammetoglu, S Oktas, L Ozgokcen, S Soyupak
Water Resources Management 19, 199-210, 2005
492005
Evaluation of eutrophication control strategies for the Keban Dam reservoir
S Soyupak, L Mukhallalati, D Yemişen, A Bayar, C Yurteri
Ecological Modelling 97 (1-2), 99-110, 1997
421997
Management of chlorine dosing rates in urban water distribution networks using online continuous monitoring and modeling
IE Karadirek, S Kara, A Muhammetoglu, H Muhammetoglu, S Soyupak
Urban Water Journal 13 (4), 345-359, 2016
412016
Development of water quality management strategies for the proposed Isikli Reservoir
O Gunduz, S Soyupak, C Yurteri
Water science and technology 37 (2), 369-376, 1998
391998
Neural network models as a management tool in lakes
C Karul, S Soyupak, C Yurteri
Shallow Lakes’ 98: Trophic Interactions in Shallow Freshwater and Brackish …, 1999
361999
Predicting dominant phytoplankton quantities in a reservoir by using neural networks
H Gurbuz, E Kivrak, S Soyupak, SV Yerli
Hydrobiologia 504, 133-141, 2003
352003
On the usage of artificial neural networks in chlorine control applications for water distribution networks with high quality water
S Soyupak, H Kilic, IE Karadirek, H Muhammetoglu
Journal of Water Supply: Research and Technology—AQUA 60 (1), 51-60, 2011
292011
A comparison between neural network based and multiple regression models for chlorophyll-a estimation
C Karul, S Soyupak
Ecological Informatics: Understanding Ecology by Biologically-Inspired …, 2003
272003
Vulnerability of groundwater to pollution from agricultural diffuse sources: a case study
H Muhammetoğlu, A Muhammetoğlu, S Soyupak
Water Science and Technology 45 (9), 1-7, 2002
262002
Fuzzy logic model to estimate seasonal pseudo steady state chlorophyll-a concentrations in reservoirs
S Soyupak, DG Chen
Environmental Modeling & Assessment 9, 51-59, 2004
212004
A new approach to mathematical water quality modeling in reservoirs: neural networks
C Karul, S Soyupak, E Germen
181998
Assessment of nitrogen excess in an agricultural area using a nitrogen balance approach
H Muhammetoglu, A Muhammetoglu, S Soyupak
Water Science and Technology 51 (3-4), 259-266, 2005
152005
ASSESSMENT OF EUTROPHICATION FOR KEBAN DAM-RESERVOIR
S Soyupak, CF Gökçay, S Yerli, S Erden, N Akbay, AF Çilesiz
151994
Effects of operational parameters on the settling properties of activated sludge
G Sürücü, S Soyupak
Environmental Technology 10 (5), 471-478, 1989
151989
A review on formation and decay kinetics of trihalomethanes in water of different qualities
A Al‐Omari, A Muhammetoglu, E Karadirek, A Jiries, M Batarseh, ...
Clean–Soil, Air, Water 42 (12), 1687-1700, 2014
132014
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