The 'Circulante' garden project for the Center for Innovation in Circular Economy (CIEC), developed by gaSSz arquitectos, represents an innovative pilot project for a green public space.
This new urban landscape is intended for the Vicálvaro district, but its impact extends beyond the local level, benefiting the city of Madrid. The garden expands the open areas of the Center for Innovation in Circular Economy, spreading them throughout the entire site.
Researchers at UNIASSELVI developed a study that uses artificial intelligence and automation to compile climate data and assess the potential impacts of a Super El Niño event in Brazilian territory.
The investigation indicates a 97% probability of the phenomenon remaining active until 2027 and an 81% chance of reaching a very strong intensity, whose effects may vary depending on the location within the country.
This study uses artificial intelligence to cross-reference data from various meteorological institutions, presenting projections on the dynamics of El Niño in a single analysis. The work was conducted by Fábio Henrique Moisés and Matheus Fernando Cunha, Software Engineering students at UNIASSELVI, under the supervision of Professor Pedro Sidnei Zanchett.
Additionally, the research is linked to Zanchett's RADIAN doctoral thesis, which focuses on decision support systems for natural disaster management, using generative AI, cloud computing, and automation.
It is important to note that despite the use of sophisticated technology, the study does not generate an autonomous climate forecast through artificial intelligence; its function is to organize and compare projections issued by both national and international meteorological centers. The novelty lies in the integration of AI, automation, and scientific knowledge to support decision-making in risk scenarios, given that climate change demands new ways of interpreting data.
Pedro Sidnei Zanchett, a professor at UNIASSELVI and advisor for the project, commented on the topic.
To build this analysis, the researchers collected information from entities such as NOAA, NASA, INPE, INMET, CEMADEN, and IRI. The purpose was to confront different climate models and identify similarities between the forecasts. According to Moisés, the technology facilitates the transformation of existing data into more structured analyses.
The researcher stated: 'Artificial intelligence allows consolidating thousands of pieces of information produced by different institutions and transforming them into analyses capable of supporting faster and more informed decisions. The challenge is not to produce more data, but to connect the knowledge that already exists.'
Among the central aspects examined by the study are: the possibility of a high-intensity El Niño until 2027; the combination of data from Brazilian and foreign climate agencies; the use of AI and automation in organizing information; and support for planning against possible extreme events. Although the term Super El Niño is not an official technical nomenclature, it is frequently used to describe episodes of great magnitude of the phenomenon, caused by the unusual warming of the equatorial Pacific waters.
The predicted effects will not be uniform across the entire country. While the North and Northeast regions may experience periods of greater drought, the Center-West and parts of the Southeast may record heatwaves and decreased precipitation. On the other hand, the South Region is pointed out as having the greatest potential for intense rainfall and flooding.
In the agricultural sector, the research signals possible losses to crops such as rice, wheat, soy, corn, and coffee. Furthermore, the combination of heat and altered rainfall patterns can increase thermal stress on livestock.
The study also highlights risks related to the expansion of fires in the Amazon, Cerrado, and Pantanal, coupled with the deterioration of air quality and the increase in respiratory and cardiovascular problems associated with heat peaks. Cunha reinforced that the research does not replace the work done by meteorological centers, stating: 'The consensus among the main international climate models is an important sign that the country must prepare itself. Our research organizes this evidence and demonstrates how intelligent technologies can contribute to increasing the response capacity in the face of extreme events.'
Even with technological advances, artificial intelligence remains a support tool. The results are conditioned by the quality of the analyzed data and may undergo modifications as the climate evolves, demonstrating how technology helps specialists organize information and anticipate potential risks, without replacing conventional scientific analysis.
The Main Lake wetland in Arunachal Pradesh state of India has been added to the global list of protected wetlands as a Ramsar site. This makes it the one hundred and eleventh such object in the country, and the first in the state to join the elite community for additional conservation and care.
Ethiopia intends to conduct a large-scale campaign to plant 800 million trees in just one day. This action is being implemented as part of the Green Legacy Initiative (GLI) and reflects Ethiopia's continuous commitment to restoring degraded landscapes, strengthening ecosystems, and building a sustainable green future.
Prime Minister Abiy Ahmed, speaking at one of the event venues, emphasized that trees are a symbol of hope, and the plants planted today represent an investment in the future of children and tomorrow.
The campaign, which aims to achieve a target of 800 million planted trees in a single day, is taking place in both rural areas and urban centers across the country. According to Government Communications Services, over 22.2 million Ethiopians are participating in this national tree planting campaign.
Abiy Ahmed also noted that continuous reforestation efforts in Ethiopia over the past seven years, carried out through GLI, have laid a solid foundation for the country's prosperity, development, and sustainable growth.
Since 2019, Ethiopia has been conducting reforestation campaigns and has already planted more than 48 billion trees and shrubs to date.
The media reports that the initiative expands annually thanks to the participation of millions of citizens during the rainy season, when natural conditions favor plant survival and growth.
The planned 800 million trees to be planted or sown on this day are part of Ethiopia's broader aspirations to increase forest cover, rehabilitate depleted soils, and enhance the country's capacity to cope with climate challenges.
The campaign also contributes to improving soil health, protecting watersheds, and increasing water availability by reducing erosion and supporting groundwater replenishment.
Furthermore, planting fruit trees, including avocado, mango, and papaya varieties, opens up new opportunities for improving nutrition, increasing family incomes, and strengthening agricultural value chains, including future export prospects.
Ethiopia is preparing to host the 32nd United Nations Climate Change Conference (COP32) in 2027. The Prime Minister believes that COP32 will provide Ethiopia with an opportunity to demonstrate its experience in green development and share practical knowledge with the international community.
