Does Lake Balaton affected by pollution? Assessment through surface water quality monitoring by using different assessment methods

• Main Authors: Roquia Rizk, Mesfin Alameraw, Mohamed Ali Rawash, Tatjána Juzsakova, Endre Domokos, Amor Hedfi, Mohammed Almalki, Fehmi Boufahja, Plavan Gabriel, Hesham M. Shafik, Ákos Rédey
• Format: Article
• Language: English
• Published: Elsevier 2021-09-01
• Series: Saudi Journal of Biological Sciences
• Subjects: Surface water quality; Lake Balaton; Physical-chemical parameters; Aquatic environment assessment
• Online Access: http://www.sciencedirect.com/science/article/pii/S1319562X21004083

In order to maintain a good environmental status of surface waters, an assessment of water quality carried out at specific intervals to monitor the changes of water quality in function of time. Human knowledge and experience are currently focused on using assessment methods, especially the integration of multiple constraining factors and considering them in conjugation with the correct decision-making process concerning the environment. When surface water is highly exposed to human activities, either from recreational or economic activity, the degree of vulnerability is high, and the quality of surface water is highly compromised. In case of Lake Balaton, there are many activities that can disrupt water dynamics. The first goal of this study is to determine the location of the least and most polluted sites around Lake Balaton. The processing of data was carried out by using multi-criteria decision techniques and environmental impact assessment method based on physical–chemical parameters in comparison with the limiting parameters. Based on the results of those methods water quality needs to be improved in western parts of the lake by using several geoengineering treatment techniques. This work covers a novel approach to comparing methods based on sum of ranking differences, whereas many method comparison studies suffer from ambiguity or from comparisons not being quite fair. This problem can be avoided if there are differences between ideal and actual rankings.