JatsTech

2147-9364_2006_21_3and4

Selcuk University Journal of Engineering, Science & Technology

EFFECTS OF MUNICIPAL SEWAGE SLUDGE ON GRASS PLANT HEAVY METAL (MN, ZN, NI, CU, CR, PB, CD) CONTENTS

Author: Murat KÜÇÜKHEMEK, Kemal GÜR, Ali BERKTAY Publishing Date: 2006 E-ISSN: 2147-9364 Volume 21 Issue 3_4 ABSTRACT: This field experiment was conducted to determine the effects of municipal sewage sludge, on heavy metal (Mn, Zn, Ni, Cu, Cr, Pb and Cd) contents of the pasture grass (Mixture 4M “Star” 0126827) which grown in poor soil. The sewage sludge was incorporated into […]

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TOXICITY OF ORGANIZED INDUSTRIAL ZONE WASTEWATER

Author: Mehmet Emin AYDIN, Gülnihal KARA Publishing Date: 2006 E-ISSN: 2147-9364 Volume 21 Issue 3_4 ABSTRACT: In this work, wastewater samples were taken from the sewerage system of Konya I st. Organized Industrial Zone and 72 hours toxicity tests were carried out. Toxicity levels of wastewater samples were determined employing fish biyoanalysis in terms of LC50 which is the concentration that

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ADSORPTION OF BASIC DYESTUFFS ON THE ACTIVATED CARBON PRODUCED FROM AĞAÇLI COAL

Author: Mehmet MAHAMANLIOĞLU, İrfan KIZILÇIKLI, Adem ÇINARLI Publishing Date: 2006 E-ISSN: 2147-9364 Volume 21 Issue 3_4 ABSTRACT: The adsorption of basic yellow and basic blue on the activated carbon from single component and binary components was studied. The adsorption rate constant were calculated. The equilibrium results were interpreted by the Langmuir and Freundlich equations and constant of these isotherms were calculated

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ROBUST METHODS FOR THE DETECTION OF OUTLIERS

Author: Cevat İNAL, Mevlüt YETKİN Publishing Date: 2006 E-ISSN: 2147-9364 Volume 21 Issue 3_4 ABSTRACT: In this study, complementary estimators to Least Squares Method which is the most widely used estimation technique in geodesy, especially robust estimators such as M estimators, BIBER Estimator, iterative weighting method, Berberan Method and bifactor reduction model for correlated observations are studied. Furthermore, pre – adjustment

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ESTIMATION OF SEASONAL SNOWMELT USING ARTIFICIAL NEURAL NETWORKS

Author: Cahit YERDELEN Publishing Date: 2006 E-ISSN: 2147-9364 Volume 21 Issue 3_4 ABSTRACT: The great amount of snowpack still all through the winter time starts melting with the coming of spring and all that static water becomes a huge dynamic force. The fundamental aim of hydraulic and environmental engineers is to minimize the disaster due to its uncontrolled flow while benefiting

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