Phosphorus is a vital nutrient for plant growth, playing a crucial role in various physiological processes, including energy transfer, nucleic acid synthesis, and root development. As an essential component of DNA, RNA, and ATP, phosphorus is indispensable for the overall health and productivity of plants. Despite its significance, phosphorus is considered a non-renewable resource with limited global reserves. The primary source of phosphorus is phosphate rock, and the extraction and production processes are energy-intensive. The finite nature of phosphorus resources raises concerns about future availability and sustainability, emphasizing the need for efficient phosphorus
management. Thus, the present study, aims at benefit from the phosphorus present in eutrophic water through two aquatic plants (i.e., Pistia stratiotes and duckweed). This study investigates the feasibility of growing these aquatic plants on different water types. The focus is on observing the growth patterns, leaf protein production, and the generation of brown juice as potential by-products containing high phosphorus content and a possible plant growth biostimulant. The study aims to provide insights into sustainable phosphorus utilization and recovery from eutrophic water within the context of a circular economy.

Today, in any field of science, we can observe interdisciplinary directions, which are born from the fusion of related disciplines. By combining scientific fields and at the same time comparing the methods of different fields, we can get answers to new questions that go beyond a single subject. Understanding the niche model of ecology gives a new dimension to the complex study of the composition of living communities. The habitat of each population is determined by biotic and abiotic factors. The examination of biotic variables is the task of ecology, while abiotic variables cannot be examined with ecological methods, as the scales often used for their evaluation are too robust for detailed analyses. The measurements carried out by hydrologists and hydraulic engineers can provide a much more accurate description of these abiotic variables, so by combining the two, we can discover new relationships. In this study, we assigned the data of the 20 most common fish species in the Hungarian section of the Danube River from 2004 to 2022 to the data of hydrological datasets and hydrodynamic simulation models, and looked for patterns among them using Machine Learning (ML). Among the nine abiotic factors used as independent variables in the analysis, the average depth velocity, water depth and bed material composition were the most decisive variables, which aligns with the results of previous research. In addition, with our Random Forest model, we were able to predict the number of individuals of the 20 most common fish species in the given conditions in the entire Hungarian section of the Danube. These estimates refer to optimal habitat for fish species according to abiotic variables. The model gives accurate values only in a narrow range, the so-called hydromorphological optimum, where our variables determine the abundance of fish. The results of the studies showed that in most cases biotic factors are more dominant than abiotic variables. In addition to the ML analysis, we showed the possibility of using the Danube fish faunistic database, which covers a large area and time, to investigate the relationships of the population (for example, the relationship between invasive and native species) using classical statistical methods. The results found here are in many cases consistent with the Random Forest model, but give reason to extend the model with additional independent variables in order to better understand the ecology of the Danube fish species.

The aim of our research is to examine the impact of extreme rainfall distribution caused by climate change on the extent of soil erosion and to develop a proposal to make water management more efficient and to reduce soil erosion processes.

Our research was carried out in the northern part of Szekszárd in the Parásztai-Séd valley, where the typical agricultural activity is viticulture. We began our studies by analyzing precipitation data for the last forty years in the city. Soil samples were collected, soil texture determination and soil erosion estimation were performed. The runoff of Parásztai-Séd and the amount of suspended solids carried by water were measured, and then the water management of the soil was examined.

Our studies have proofed that the distribution of precipitation is becoming more and more extreme. The soil type of the valley is sensitive to erosion, which is already exceeding the rate of soil formation in the vineyards. The highest displacement is typical during times of extreme precipitation. The water management of the top of the soil is sensitive to drought periods and for the slow vertical water flow. Overall, water conservation and soil erosion prevention measures are needed in the valley.

In addition to the traditional solutions, the Ecotany model we developed could also be applied. Part of the project was the design of a rainwater harvesting device that, thanks to its automated operation, would not only reduce the impact of rainfall on soil erosion, but also prevent the development of plants by shading during the rainless period. Thirdly, the gradual return of the collected water to the production area would also reduce the effects of wind erosion and feed the vegetation covering the ground.

The installation of the eco-farm model and the associated stormwater collector comes at a high cost, which not all farmers can afford, so we wanted to develop a new cheaper and also efficient solution. Mulching has long been a technique used to prevent erosion in vineyards, and we wanted to improve its efficiency. This is to prevent the water flowing down the hill from accelerating because the soil trap absorbs the water thanks to the layered mulch. The soil traps were re-done every 10-15 meters so that if one of the traps was full of water, the water could not accelerate again.

The method was subjected to a control measurement several times after rain, where we could prove our theory, the method works. With this inexpensive and proven effective method of control, every farmer can protect themselves against erosion caused by extreme weather events.

Protein deficiency could be appearing in the future, because of the population growth, so the alternative protein sources will play main role in the nutrition of human population. In our research we used alfalfa(Medicago sativa) as alternative protein source, from which we could create a leaf protein concentrate. The isolation of leaf protein resulted a very large amount of brown juice and it has a harmful effect on the environment. For example it can cause eutrophication.

Algal bloom causes several damages for lakes all around the word. The goal of this project was to develop an efficient way to follow the toxin production during algal blooming at an early stage.
The goal of the study was to create a biosensor which can detect the starting point of microcystin toxin production of blue-green algae namely the toxic Microcystis sp. population.
Microcystin is synthesized non-ribosomally by 10 genes. Four BioBricks were designed with the promoter of the genes, however instead of the genes green fluorescent protein (GFP) was used to predict the transcription of the genes responsible for microcystin synthesis. The students measured the fluorescence density emitted by the GFP when the toxin production had started.

The project emphasizes the need of innovative solutions to the problem of water management and water protection. Young people long for a more enjoyable, more practical, experience-based education. Both problems can be tackled at the same time by the cultivation of educational aquaponics systems, which provides teenagers with the opportunity to acquire versatile knowledge by experimental learning while increasing their environmental awareness with water management and protection in the focus. The student designed an educational aquaponics system, which proved to be capable of functioning.

The focus of my research is one of the valleys of Wine Region of Szekszárd, called Csatári-valley. This area plays a major role in the production of excellent Hungarian wine. Hence the protection and sustainment of this agricultural area are very important.
My suggestion is to make lakes by swelling back the water of this stream. I examined the workability of this with stream gauging, water and soil analyses also with soil erosion estimation. As an addition, I recommend improvements against soil erosion. If my suggestions will be developed, then the valley would have a safer, more stable water management.

Through our project we wish to raise awareness of water footprints. It is an important, but not widely known concept.

This project statistically verifies what economic and water savings are possible in schools and households by reusing ra