Thesis supervisor: Viktor Sebestyén
Location of studies (in Hungarian): PE MK Bio-, Environmental- and Chemical Engineering Research and Development Center, Department of Process Engineering Abbreviation of location of studies: DPE
Description of the research topic:
Improving and maintaining good water quality conditions in surface waters for different uses (drinking, recreation, ecological habitat, etc.) is a challenging task due to the complex nature of the physical-, biogeochemical- and hydro chemical processes of surface waters and their anthropogenic and climate change impacts. As a result of human activities, ecological quality of the water resources has been declined. Consequently, stability of the water resources was affected in terms of biodiversity and tourism. Increase nutrients in lakes, as a result of increased urbanization and pollutants on rivers, and their destructive impacts on aquatic ecosystems have brought some concerns. The most common problem which could be a threat for all water resources, especially those that have been made for recreation, is the eutrophication. This phenomena occur in both natural and artificial water resources, where algae grow rapidly in a high extent. Artificial lakes, which are made as recreational sites, are more prone to eutrophication. Maintaining water quality in recreational lakes plays an important role in water management policies. To tackle water quality problems, and for the sake of both ecological and human welfare, all water resources must be monitored and assessed by forecasting. Degraded water quality can be harmful to human health. Moreover, exposure to contaminated water via recreational use can result in individual illness and community outbreaks of gastrointestinal and respiratory disease. A consequence of these outbreaks can put unwanted pressure on health services and lead to financial losses both to the individual households, the regional and national economy. In the assessment tools, both monitoring and modelling provide decisive point of view for water quality management of recreational lakes. Because of predictive capabilities and cost-effectiveness of the approaches, mathematical models are becoming increasingly important in water quality management to reach water quality objectives. The complexity of water quality models spans from zeros dimensional models, representing water volumes and concentrations without dispersion, to biochemical models which include reaction terms to describe the biochemical processes in lake systems.
In this research an integrated model will be developed, that can simulate the water quality more precise and the operational cost will be optimized using different modelling scenarios.
The purposes of this research are:
1- Developing a hydrodynamic model for Chitgar Lake, Iran (how the water moves in the lake).
2- Modelling the water quality parameters and algae’s groups and trophic level of the Chitgar Lake.
3- Modelling the impact of fishes, birds, and human activities on water quality.
4- Developing a universal model framework, which describes the impact of different water treatment (physical, chemical, biological) policies and technologies on lake water quality.
5- Providing and optimizing the management policies for the Chitgar Lake by considering the ecological capability.
6- Developing a novel classification method for recreation lakes regarding their water quality.
7- Better understanding of the processes that affect the lake water quality.
Antecedents of the research topic:
This research will consider the interactions of fish, plankton, and birds comunity and human activities on water quality and solutions to achieve the water quality objectives. In addition, the investigation will be directed towards identifying the sustainable water management plan. Furthermore, this research will help to optimize the most beneficial treatment and declining the management cost of operation for Chitgar Lake. One of the outcomes of this PhD research will be a flexible problem-solving for artificial lakes, and it would also allow experts to conduct a sensitivity analysis to understand the influence of each variables and the impact of different criteria on water quality.
Required language skills: English Number of students who can be accepted: 1
Deadline for application: 2021-08-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
Login
