The increasing use of text as data in environmental research offers valuable opportunities, but the inherent biases within textual sources like news, social media, or disaster reports necessitate moving beyond purely descriptive analyses. While NLP techniques topic modeling and categorical annotations can identify emergent patterns, they often fail to elucidate underlying causal mechanisms driving observed phenomena, especially complex interplay anthropogenic activities, societal structures,...

Urban areas are commonly hotter than rural counterparts. Heat exposure leads to health risks, including excess mortality. Research suggests that marginalized groups more exposed the general population environmental hazards. Inequalities of urban heat island putting higher stress on persons color and people living below poverty line have been shown for an ensemble U.S. Cities (Hsu et al., 2021). Less is known about these inequalities in Europe. The influence projected climate change also...

An increasing volume of abstracts across geoscience is presented annually at the EGU General Assembly (GA). To manage thousands abstracts, conference structured into divisions, thematic sessions, and individual sessions. However, creating rigid organizational boundaries that separate research contradicts commonly demanded interdisciplinary research: researchers may be only exposed to ideas within their peer group, reinforcing existing perspectives. Such phenomena filter bubbles selective...

Cities are increasingly faced with intensifying climate impacts and natural hazards such as floods, droughts, wildfires. Despite ongoing adaptation efforts to improve social resilience, knowledge about progress is scattered. Municipal plans contain a wealth of information local planning policies, but seldom studied at large scale due their unstructured nature. Here, we use series language processing (NLP) techniques extract on planned measures for 548 cities over 1 million inhabitants...

Compounding or cascading disasters, marked by the occurrence of multiple consecutive hazards, lead to several impacts on both individual and collective levels, surpassing those single-hazard disasters. Despite their severe consequences, global regional impact databases still record disasters using a single hazard lens. This is case Brazil, which confronted with intricate dynamics overlapping hazards. To address this gap, we reclassified natural hazard-related recorded in Brazilian Integrated...

Multi-hazard global disaster and impact datasets are often biased towards the Global North, resulting in significant data gaps for developing countries. To address this imbalance, we developed a new dataset by automatically analyzing reports from International Federation of Red Cross Crescent Societies (IFRC). These document immediate aid, recovery, resilience-building aftermath disasters, targeting mainly countries South. From 1,664 spanning 1996 2024 years, identified 620 unique disasters...

Despite recent efforts to apply machine learning (ML) for water demand modeling, overcoming the black-box nature of these techniques extract practical information remains a challenge, especially in developing countries. This study integrated random forest (RF), self-organizing map (SOM), and artificial neural network (ANN) assess patterns develop predictive model city Fortaleza, Brazil. We performed analysis at two spatial scales, with different level information: census tracts (CTs) fine...

Abstract Managing water resources in regions with high climate variability and frequent extreme weather events poses challenges for policymakers. To facilitate allocation these cases, participatory collaborative decision-making approaches have become common. However, the evaluation of is hindered by lack structured methods data to understand them. address this knowledge gap, we propose a novel methodology that leverages text identify key topics, conflicts, influential actors shape dynamics....

This study aimed to understand the perception of drought among farmers, in order support decision-making water allocation process. was carried out Tabuleiro de Russas irrigated perimeter, northeast Brazil, over period 2012–2018. Two analyses were conducted: (i) characterization, using Standardized Precipitation Index (SPI) based on duration and frequency criteria; (ii) analysis farmers’ perceptions via selection explanatory variables Random Forest (RF) Decision Tree (DT) methods. The...

Abstract. A cascade of drought impacts refers to a series interconnected events that trigger chain reaction impacts, extending beyond water scarcity, affect agricultural production, socio-economic factors, and the environment. This paper aims understand role society in mitigating particularly through policy responses. Conducting case study Ceará state, northeast Brazil, we used global rare dataset continuously monitoring, complemented by interviews with smallholder farmers extension...

Associating the dynamic spatial modeling based on theory of cellular automata with remote sensing and geoprocessing technologies, this article analyzes what would be per capita consumption behavior Fortaleza-CE, located in Northeast Brazil, 2017, had there not been a period water scarcity between 2013 estimates future urban demand for years 2021 2025. The weight evidence method was applied to produce transition probability map, that shows which areas will more subject class change. For that,...

Rainwater tanks or cisterns are a low impact development infrastructure used to control stormwater runoff and reduce water demand. However, climate change may affect its performance due increased rainfall intensities. This study evaluates the uncertainty on effectiveness of peak under in an urban watershed Brazil. Twelve updated intensity-duration-frequency curves, based six Global Circulation Models two Representative Concentration Pathways (RCP 4.5 RCP 8.5) from Coupled Model...

Abstract Climate variability and change, associated with increasing water demands, can have significant implications for availability. In the Brazilian semi-arid, eutrophication in reservoirs raises risk of scarcity. The also a high seasonal annual level volume, which important effects on Chlorophyll-a concentration (Chla). Assessing influence climate hydrological phytoplankton growth be to find strategies achieve security tropical regions similar problems. This study explores potential...

The relative scarcity of water resources has encouraged cities to create mechanisms control demand and avoid stress. In the decision-making process, companies need assess price influence on predictions design better policies. aim this study is estimate medium-term effectiveness implementation a contingent tariff its consequences for elasticity price. A novel model that requires only secondary data proposed, can be useful guiding drought planning process. methodology consists framework...

ABSTRACT Most water infrastructure was designed for climate conditions and demands that have been rapidly changing. In this study, we investigate flood magnitude dam safety under change, using an ensemble of CMIP6 models, coupled to a hydrological model. We compare historical future watershed in Ceará, Northeast Brazil. Climate models revealed wide range risk levels failure. Half the scenarios indicated reduction return period. A associated with 1000-year storm had occurrence probability...

The increased frequency and magnitude of natural hazards might significantly increase social, economic, health impacts on society in the next decades. Existing studies databases hazard have several limitations, such as (1) a low level detail how people were affected; (2) an underestimation impacts; (3) limited geographical range; (4) lack information source data. However, scientific publications, reports, handbooks compose large data repository that can provide valuable trustworthy hazards....

implications'S. 1 -Comprehensive data colletion and analysis Drought impacts monitoring dataObservers collected the first dataset as part of their job routine.In addition to various tasks, they regularly complete monthly questionnaires for each municipality, providing information on drought other relevant information.Employed by Ematerce, these observers are based across state, with most offices overseeing two or three municipalities, covering 184 municipalities.The questionnaire consists...

Abstract. Thousands of abstracts from various geoscience sub-fields are presented annually at the EGU General Assembly (GA), offering a rich resource for tracking scientific progress. However, rigid session groupings can limit cross-disciplinary exploration. Here, we show that participants focusing only on their broad disciplinary miss an average 44 % 10 most relevant contributions. To break this compartmentalization, propose using natural language processing (NLP), enabling community to...

Abstract The incorporation of new water sources into a supply system requires an assessment their economic feasibility, which, in turn, demands knowledge associated costs. This study calculates production cost and evaluates social by applying the residual value method calculating shadow price for several sources. results indicate that desalination industrial reuse incur similar costs, with former being more competitive terms investment (US dollar (USD) 0.28/m3) latter operation maintenance...