Ibrahim Demir

Publications

• Information systems and social legitimacy scientific visualization of water quality

  I. Demir, Feng Jiang, R.V. Walker, A.K. Parker, M.B. Beck

  Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on; 11/2009

  This paper addresses the challenge of social legitimacy issues for the technical solutions to environmental problems, and the role of Information Systems to resolve such issues. The paper outlines the Georgia Watershed Information System (GWIS), a comprehensive environmental information system, and ... [more] This paper addresses the challenge of social legitimacy issues for the technical solutions to environmental problems, and the role of Information Systems to resolve such issues. The paper outlines the Georgia Watershed Information System (GWIS), a comprehensive environmental information system, and one of its scientific visualization interfaces. This paper presents a novel scientific visualization tool based on unique components and features of GWIS. The visualization tool uses data and mapping services of GWIS to create dynamic visualizations and animation of water quality observations. A case study is demonstrated for visualizing water quality observations for dry and wet weather conditions on urban Weracoba Creek (Colombus) and its BMP (Best Management Practice), which might help to deal with issues of storm water (storm sewage) pollution control and management. The results show that the scientific visualization interface might support the prospective role of Information Systems in trying to resolve issues of "social legitimacy" surrounding the technical proposals with respect to re-engineering the city's infrastructure.
• 2.23

  Impact points

  Nanoplankton population dynamics and dissolved oxygen change across the Bay of Izmir by neural networks.

  F S Sunlu, I Demir, G Onkal Engin, B Buyukisik, U Sunlu, T Koray, S Kukrer

  Journal of environmental monitoring : JEM. 07/2009; 11(6):1165-8.

  The bay of Izmir, which is the biggest harbor on the Aegean Sea, is of upmost economical importance for Izmir, the third largest city in Turkey. Most of the studies carried out focused on the effects of intensive industrial activity and agricultural production on the bay pollution within the region.... [more] The bay of Izmir, which is the biggest harbor on the Aegean Sea, is of upmost economical importance for Izmir, the third largest city in Turkey. Most of the studies carried out focused on the effects of intensive industrial activity and agricultural production on the bay pollution within the region. These studies, most of the time, are limited to monitoring the level of pollution. However, it is believed that these studies should be supported with models and statistical analysis techniques, as the models, especially the prediction ones, provide an important approach to assessing risk and assessment. In this study, neural network analysis was used to construct prediction models for nanoplankton population change with nutrients and other environmentally important parameters. The results indicated that, using data over a 52 week period, it is possible to predict nanoplankton population dynamics and dissolved oxygen change for the future.
• 2.13

  Impact points

  Modeling leaching behavior of solidified wastes using back-propagation neural networks.

  Senem Bayar, Ibrahim Demir, Guleda Onkal Engin

  Ecotoxicology and environmental safety. 01/2008;

  In a previous study, treatment sludge obtained from a chemical industry, which contained potentially toxic heavy metals and organics, was characterized and solidified by solidification/stabilization (S/S). In this study, however, the prediction of leaching behavior of the sludge by linear regression... [more] In a previous study, treatment sludge obtained from a chemical industry, which contained potentially toxic heavy metals and organics, was characterized and solidified by solidification/stabilization (S/S). In this study, however, the prediction of leaching behavior of the sludge by linear regression method and neural networks (NNs) was discussed. NN analysis was used to construct models of leaching behavior as a function of mix composition (waste/binder ratio, W/B) using existing data from the previous study of cement-based S/S. The differences in leaching rate of each metal were also considered. The hazard characteristics of the waste were determined as defined in both Turkish and US EPA regulations, by means of Extraction Procedure Toxicity Test (EPTox) and DIN 38414-S4 Test. S/S studies were conducted using Portland cement to solidify the sludge containing high amount of Cr, Cu, Hg, Ni, Pb, and Zn. The W/B ratios of 36 specimens were kept between 0/100 and 40/100. The specimens were cured at room temperature for 7, 28, and 90 days. The heavy metal content of the extracts of each specimen was detected usually less than standard concentrations in EPTox and DIN 38414-S4 leaching procedures. By the use of NN, leaching behavior of the solidified wastes can be predicted and, therefore, optimum S/S technologies can be achieved.
• 2.37

  Impact points

  Cost analysis of alternative methods for wastewater handling in small communities.

  Guleda Onkal Engin, Ibrahim Demir

  Journal of environmental management. 07/2006; 79(4):357-63.

  Wastewater collection and treatment is quite important for sustainable management. It would be uneconomical and impractical to provide sewer systems and separate wastewater treatment plants (WWTP) for small communities. The decision process in wastewater planning is rather important in terms of comp... [more] Wastewater collection and treatment is quite important for sustainable management. It would be uneconomical and impractical to provide sewer systems and separate wastewater treatment plants (WWTP) for small communities. The decision process in wastewater planning is rather important in terms of comparing the alternatives considered. The two important points in the management of wastewater at rural areas not connected to a sewer system are to develop an optimized operation strategy and to make sure that the complete system is environmentally and economically sustainable. In some regions, package treatment could be an alternative solution. However, in cases where there is an existing large WWTP, a cluster system, where sewage generated by small communities could be transported via conveyors to a centralized WWTP, could be employed. In this study, the wastewater treatment and disposal problems in small communities were addressed and an alternative wastewater handling scenario was proposed. Additionally, three wastewater handling scenarios were compared. As a case study, Gebze villages were selected.

• e-NOSE Response Classification of Sewage Odors by Neural Networks and Fuzzy Clustering.

  Güleda Önkal-Engin, Ibrahim Demir, Seref Naci Engin

  Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II; 01/2005

• Determination of the relationship between sewage odour and BOD by neural networks.

  Güleda Önkal-Engin, Ibrahim Demir, Seref Naci Engin

  Environmental Modelling and Software. 01/2005; 20:843-850.

• Assessment of urban air quality in Istanbul using fuzzy synthetic evaluation

  Guleda Onkal-Engin, Ibrahim Demir, Halil Hiz

  Atmospheric Environment.

  Little attention was paid to growing air quality concerns until about a decade earlier in Istanbul. With a population of over 12 million people and some occurred episodes imposed threats to the local government, and continuous monitoring of the urban air quality was started about a decade ago. This ... [more] Little attention was paid to growing air quality concerns until about a decade earlier in Istanbul. With a population of over 12 million people and some occurred episodes imposed threats to the local government, and continuous monitoring of the urban air quality was started about a decade ago. This is part of a national strategy program which includes urban air quality assessment. This paper addresses a methodology for urban air quality using fuzzy synthetic evaluation techniques. The European part of Istanbul was selected for this purpose. Air pollutants data such as sulphur dioxide (SO2), carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), and total suspended particulate matter (PM) collected at five different air quality monitoring stations located in western part of Istanbul was used in this evaluation. The results obtained were compared to those applied to EPA air quality index. It was demonstrated that fuzzy synthetic evaluation techniques are quite appropriate techniques for air quality management. A case study was presented for this purpose.

• Determination of the relationship between sewage odour and BOD by neural networks

  Guleda Onkal-Engin, Ibrahim Demir, Seref N. Engin

  Environmental Modelling & Software.

  Sewage treatment works are one of the major sources that cause atmospheric odour pollution. Due to the increase in environmental concerns, there is a growing number of complaints on odour nuisance. In order to determine the boundaries of legal standards, reliable and efficient odour measurement meth... [more] Sewage treatment works are one of the major sources that cause atmospheric odour pollution. Due to the increase in environmental concerns, there is a growing number of complaints on odour nuisance. In order to determine the boundaries of legal standards, reliable and efficient odour measurement methods need to be defined. An electronic nose was used for the purpose of characterising sewage odours. Samples collected at different locations of a wastewater treatment plant were classified using an Artificial Neural Network (ANN) trained with a back-propagation algorithm. Additionally, the same method was used to determine the relation between sewage sample odours and their related Biochemical Oxygen Demand (BOD) values. The overall results have indicated that ANNs can be used to classify the sewage samples collected from different locations of a wastewater treatment plant. Moreover, the electronic nose output could be used as an indicator in monitoring the biochemical activities of wastewaters.

• Information systems and social legitimacy scientific visualization of water quality

  I Demir, F Jiang, R V Walker, A K Parker, M B Beck

  Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on;

• Modeling of flux decline in crossflow microfiltration using neural networks: the case of phosphate removal

  C Aydiner, I Demir, E Yildiz

  Journal of membrane science. 248(1-2):53-62.

• Determination of the relationship between sewage odour and BOD by neural networks

  G Onkal-Engin, I Demir, S N Engin

  Environmental Modelling & Software. 20(7):843-850.

• Prediction of nanoplankton change in Izmir Bay(Aegean Sea-Turkey) with time by neural networks

  FS Sunlu, I Demir, G Onkal Engin, U Sunlu, B Buyukisik, T Koray, TM Sever, S Kukrer, A Aydin, F Briand

• Integrated Web-based Data Management, Analysis and Visualization: Towards an Adaptive Watershed Information System

  I Demir

  Degree: PhD

• Alternative Approaches for Wastewater Treatment and Disposal in Developing Countries

  M Karpuzcu, G Onkal-Engin, I Demir

• Assessment of urban air quality in Istanbul using fuzzy synthetic evaluation

  G Onkal-Engin, I Demir, H Hiz

  Atmospheric Environment. 38(23):3809-3815.