https://hdl.handle.net/20.500.12619/941 2026-04-13T16:06:19Z https://hdl.handle.net/20.500.12619/50344 WASTEWATER CHARACTERIZATION AND MICROBIAL DIVERSITY OF A TEXTILE INDUSTRY WASTEWATER TREATMENT SYSTEM Öz, Nurtaç; Öğleni, Ömer Textile industry wastewaters are characterized by high wastewater volume, alkaline pH, and colors that depend on dyes used in process. The composition of wastewater in textile industry is variable due to raw materials, dyes of different color, chemicals, different processes, various technologies; water use and wastewater quality. The major pollutant parameters in textile industry are BOD, COD, SS, oil and grease, total Cr, phenol, sulfide, temperature, pH, sulfide compounds, TOC and turbidity. Additionally, depending on dyes and chemicals used, many kinds of heavy metals and organic pollutants exist in textile wastewaters based on the subcategory of production such as cotton, wool and synthetic goods that lead to different wastewater characterization. The selected textile industry deals with synthetic textiles and similar products generating dyeing wastewaters. There are 3 parallel sequencing batch bioreactors (SBR) in the wastewater treatment system. The activated sludge biological wastewater treatment system indicates different microbiological structure because of its inconstant influent characteristics. For this reason, the treatment system has frequently been facing performance problems. In this study, the textile industry wastewater characterization was performed and floc structure of the activated sludge and microorganisms were investigated. The general and dominant microbial populations were identified both qualitatively and quantitatively. 2010-01-01T00:00:00Z https://hdl.handle.net/20.500.12619/50343 Landuse change in upper Kansas river floodplain: following the 1993 flood Gümrükçüoğlu Yiğit, Mahnaz The last major flood event that has caused great damage on the Kansas River in the USA occurred in 1993. The purpose of this study is to document landuse changes that occurred along the Kansas River following the 1993 floods. The patterns of landuse before and after the 1993 flood are compared using the Landsat Thematic Mapper satellite images from 1988, 1991, 1993, 1996, and 1998. The results show a change in the agricultural land in riparian areas following the 1993 flooding event. As a result, this study reports that the amount of agricultural land, the grassland, and the woodland reduced during the 1993 flood. The flood also resulted in a permanent loss of agricultural land and a decrease in production. Following the flood, the amount of grassland returned almost to pre-1993 levels. This study provides a useful description of a river flood using remote sensing methods and can show a way to decision makers for mitigation of flood effects and future river management plans. 2010-01-01T00:00:00Z https://hdl.handle.net/20.500.12619/50341 Modelling of evaporation from the reservoir of Yuvacik dam using adaptive neuro-fuzzy inference systems Doğan, Emrah; Gümrükçüoğlu Yiğit, Mahnaz; Sandalcı, Mehmet Adaptive neuro-fuzzy inference system (ANFIS) models are proposed as an alternative approach of evaporation estimation for Yuvacik Dam. This study has three objectives: (1) to develop ANFIS models to estimate daily pan evaporation from measured meteorological data; (2) to compare the ANFIS model to the multiple linear regression (MLR) model; and (3) to evaluate the potential of ANFIS model. Various combinations of daily meteorological data, namely air temperature, relative humidity, solar radiation and wind speed, are used as inputs to the ANFIS so as to evaluate the degree of effect of each of these variables on daily pan evaporation. The results of the ANFIS model are compared with MLR model. Mean square error, average absolute relative error and coefficient of determination statistics are used as comparison criteria for the evaluation of the model performances. The ANFIS technique whose inputs are solar radiation, air temperature, relative humidity and wind speed, gives mean square errors of 0.181 mm, average absolute relative errors of 9.590% mm, and determination coefficient of 0.958 for Yuvacik Dam station, respectively. Based on the comparisons, it was found that the ANFIS technique could be employed successfully in modelling evaporation process from the available climatic data. (C) 2010 Elsevier Ltd. All rights reserved. 2010-01-01T00:00:00Z https://hdl.handle.net/20.500.12619/50340 Agricultural and Municipal Wastes as Container Media Component for Ornamental Nurseries Dede, Ömer Hulusi; Dede, Gülgün; Özdemir, Saim This paper deals with the suitability of agricultural and municipal organic wastes as growing media components for ornamental plants. Nine growing media prepared by mixing the main components of peat (P), hazelnut husk (H) and maize straw (M) with the fertilizer sources of municipal solid waste compost (C), bio-solid (B) and poultry manure (Pm) were compared against soil-based (Cl) and peat-based (C2) controls. The suitability of such mixtures for use in soilless media was evaluated using their physico-chemical characteristics. To investigate the impact of mixtures on plant growth, two different pot experiments, including the plants of ligustrum (Ligustrum lucidum) and cypress (Cupressus macrocarpa), were conducted for two years. Physical and physico-chemical properties of mixture indicated that peat and soil were successfully replaced with hazelnut husk, maize straw, MSW-compost, bio-solid and poultry manure. The effect of fertilizer additives on plant growth was more pronounced than that of the main components. Therefore, among the present mixtures, the most suitable one for ligustrum was the mixture containing poultry manure, whereas for cypress was bio-solid, regardless of the main components. 2010-01-01T00:00:00Z