FLOODWISE is an innovative automated flood management system designed to mitigate flooding and repurpose water efficiently. The system integrates a flood indicator, a biofiltration setup, and an eco roof. These components work in synergy to convert floodwater and rainwater into usable water for non-potable purposes such as washing and flushing. By combining real-time flood monitoring with sustainable water treatment and storage solutions, FLOODWISE aims to enhance urban water resilience and promote eco-friendly water usage practices.

This project aims to prevent further melting of Arctic ice through the creation of a bioengineered strain of glacial Cryobacterium that can uptake dissolved silicon, and biomineralize it into silica (glass), to increase the reflectivity of glaciers. This novel, environmentally-friendly solution will lead to an increase in reflectance that will alow the glaciers to recover over time and prevent devastating sea level rises that would occur due to climate change. 

The problem of saltwater and flash floods devastates the world’s food security. Statistics indicate that agricultural crop yields are affected by saltwater intrusion up to 20% of the land area, with projections reaching 50% by 2050. Flash flood problems have affected the settlement of people in agricultural and community areas. The Intelligent Systems to Forecast and Manage Saltwater Intrusion and Flash Floods for Agriculture, Water Transportation, and Community was developed to address these problems with adequate early warnings and water management. The accuracy of the innovation to forecast saltwater intrusion and flash floods one day and one week earlier, with 70% and 90%, respectively. A smart innovation guaranteeing sustainable agricultural production, global food security and sustainable cities and communities.

The implementation of Movement Control Order (MCO) during the COVID-19 pandemic in 2020-2021 has affected the production process of agricultural produce due to labour shortage. Agricultural workers were unable to come to work to care for crops. At the same time, the MCO has also given opportunities for budding farmers who began to show interest in gardening and making profit.

Starting from mid-2020, our school has established a small farm using fertigation farming to generate income. Fertigation, formed by two words – fertilization and irrigation; is a concept that relies on using the present irrigation line operating in existing field to inject plants with the desired fertilizers. From this idea, we have designed and proposed an automatic plant watering system, an innovative technology to make farmers work more efficiently and yield more profit.

The irrigation technics currently applied in farms are inefficient and causing excessive volume of water wastage. Artificial intelligence system that is applied in agriculture; also known as precision farming, may help farmers to efficiently control water usage thus produce a profitable crop.

Our project on automatic plant watering system named Mechatronic Fertigation, is a device system that transmits data from soil-moisture sensor to inform decisions about watering schedules besides supporting the efficiency of fertilizers in mass production of agriculture.

If moisture in the soil is considered at the optimum amount, plants can wealthily absorb water. The data obtained from the Mechatronic Fertigation helps farmers to increase their profit by learning how to take care of their crops and determining the ideal amount of water and fertilizer to use. By allowing humans to grow food in urban areas, this technology may have the capacity to reduce deforestation. 

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.

In this work, I focused on assessing profile P2a from the du Loup Bourrou spring at the Bibracte site in France. Based on diatom analysis, I found that environmental conditions at the du Loup Bourrou spring did not change much between 1747 and 1999. There was, however, a significant decrease in species diversity, evidence of a change that must have occurred at this site, as well as a fluctuating number of species sensitive to human impact.

The next step will be to analyze profile P2a using a different method for recording the abundance of each taxonomic group––by counting the exact number of shells of each species in the samples. Another task will be to analyze the other profile, profile P1a, which was taken in the vicinity of profile P2a. It will then be possible to compare the newly calculated indices with the results presented here to determine if profile P1a confirms them.

It will also be interesting to compare the species found in both profiles and determine whether diatom communities so close to each other can differ significantly or, conversely, whether there is no large difference in species.

After both palaeoecological profiles have been assessed, it will be possible to publish the research findings in a multidisciplinary study led by archaeologist Petra Goláňová from the Department of Archaeology and Museology of Masaryk University as part of the project “Oppidum as an urban landscape: multidisciplinary approach to the study of space organization ‘intra muros.’” In an interdisciplinary study, it will be possible to compare the findings of researchers in other fields with the results of my diatom analysis and perhaps determine what changes occurred at this site within the past two centuries.

When all the findings from the diverse disciplines included in this multi-proxy study will have been analyzed together, it will be possible for archeologists to remove the stone layer from the 14th century. This way, older sediments hidden under this layer will be uncovered, and it will therefore be possible to take a new profile dated to an older period. Conducting the same multidisciplinary research on this profile will enable us to reconstruct the evolution of environmental conditions at the site deeper into the past.

Bibracte and the entire Morvan region are part of a protected area, and the results presented here may in the future contribute to managing Mont Beuvray hill. They may serve as reference points that can be used to evaluate future changes in environmental conditions and pollution levels at the site.

“Nunca choveu que non escampara” consists of the design of a prototype station that controls the flow and level of water at specific points in the water basin of the area to be monitored. Developed with Arduino, it allows monitoring critical situations caused by these natural disasters and, in this way, warns when the situation of torrents and streams approaches risk levels and can lead to flooding.

In addition, our project also investigates the geographic and geological aspects that imply a higher risk of flooding for a specific area. To this end, an algorithm has been developed to predict the level of risk in a given catchment area.

Project Current is a collaborative student led project with local industry and Kristiansand International School. The project uses relatively low cost battery driven pressure sensors, and continuously collects data from a local stream in Kvinesdal, where the data is sent wirelessly using Long Range Radio Signals (LORA) to a server. In collaboration with Intoto AS, based at Coverks in Kvinesdal, data on the server is processed continuously and presented.

The goal is to predict floods in the sensor placement area after long term data collection is imputed into a machine learning algorithm.

The final goal of this research is to promote civic participation on resolving the water issue. For this, the research was fragmented into following three steps: 1. civil recognition and promotion to participate on water problems by AqUs, an educational game app, 2. Spreading the sustainable-self development system through GitHub and Facebook promotion, 3. propagating the movement to a global scale.