Effects of Thermal Effluents from Wolseong Nuclear Power Plant on Macroalgal Composition and Community Structure

ALGAE ◽  
2008 ◽  
Vol 23 (2) ◽  
pp. 151-162 ◽  
Author(s):  
Han-Gil Choi
2013 ◽  
Vol 42 (4) ◽  
Author(s):  
Zdeňka Žáková ◽  
Manfred Pum ◽  
Pavel Sedláček ◽  
Hana Mlejnková ◽  
František Hindák

AbstractThe representatives of the genus Compsopogon Montagne in Bory et Durieaux (Rhodophyta) are basically tropical or subtropical algae. In central Europe they are only found in aquaria and in water bodies affected by thermal effluents, like the species C. aeruginosus (J. Agardh) Kützing in the Pulkau River (Austria), a tributary of the Dyje /Thaya River (Austria, Czech Republic). The first observation of this species was made in 2007 in the Pulkau River. In autumn 2010 the species was also observed at lower densities in an approximately 20 km section of the Dyje/Thaya River between the mouth of the Pulkau River (A) and the Nové Mlýny Reservoir (CR). Recently, the species was found also in Skryjský Brook, a tributary of the Jihlava River, below the cooling water effluent from the Dukovany Nuclear Power Plant, South Moravia, Czech Republic. This is the second finding of representatives of the genus Compsopogon in rivers in central Europe.


1983 ◽  
Author(s):  
T. J. Voss ◽  
Walter T. Talley ◽  
Clifford C. Baker

2020 ◽  
Vol 39 (5) ◽  
pp. 6339-6350
Author(s):  
Esra Çakır ◽  
Ziya Ulukan

Due to the increase in energy demand, many countries suffer from energy poverty because of insufficient and expensive energy supply. Plans to use alternative power like nuclear power for electricity generation are being revived among developing countries. Decisions for installation of power plants need to be based on careful assessment of future energy supply and demand, economic and financial implications and requirements for technology transfer. Since the problem involves many vague parameters, a fuzzy model should be an appropriate approach for dealing with this problem. This study develops a Fuzzy Multi-Objective Linear Programming (FMOLP) model for solving the nuclear power plant installation problem in fuzzy environment. FMOLP approach is recommended for cases where the objective functions are imprecise and can only be stated within a certain threshold level. The proposed model attempts to minimize total duration time, total cost and maximize the total crash time of the installation project. By using FMOLP, the weighted additive technique can also be applied in order to transform the model into Fuzzy Multiple Weighted-Objective Linear Programming (FMWOLP) to control the objective values such that all decision makers target on each criterion can be met. The optimum solution with the achievement level for both of the models (FMOLP and FMWOLP) are compared with each other. FMWOLP results in better performance as the overall degree of satisfaction depends on the weight given to the objective functions. A numerical example demonstrates the feasibility of applying the proposed models to nuclear power plant installation problem.


2019 ◽  
Vol 20 (3) ◽  
pp. 49-74
Author(s):  
Inyoung Hwang ◽  
J. Hun Park

Sign in / Sign up

Export Citation Format

Share Document