Search Results (158)

Flooding is a recurrent problem in many Brazilian cities, resulting in significant losses that affect health, assets, finance, and the environment. The uncertainty regarding extreme rainfall events due to climate change makes this challenge even more severe, compounded by inadequate urban planning and the occupation of risk areas, particularly for the municipality of Catu, in the state of Bahia, which also suffers from recurrent floods. Critical hotspots include the Santa Rita neighborhood and its surroundings, the main supply center, and the city center—the municipality’s commercial hub. The focus of this research is the unprecedented quantification of the socioeconomic impact of these floods on the low-income population and the region’s informal sector (street vendors). This research focused on analyzing and modeling the destructive potential of intense rainfall in the Santa Rita region (Supply Center) of Catu, Bahia, and its effects on the local economy across different recurrence intervals. A hydrological simulation software suite based on computational and geoprocessing technologies—specifically HEC-RAS 6.4, HEC-HMS 4.11, and QGIS— 3.16 was utilized. Two-dimensional (2D) modeling was applied to assess the flood-prone areas. For the socioeconomic impact assessment, a loss procedure based on linear regression was developed, which correlated the different return periods of extreme events with the potential losses. This methodology, which utilizes validated, indirect data, establishes a replicable framework adaptable to other regions facing similar socioeconomic and drainage challenges. The results revealed that the area becomes impassable during flood events, preventing commercial activities and causing significant economic losses, particularly for local market vendors. The total financial damage for the 100-year extreme event is approximately US $30,000, with the loss model achieving an R² of 0.98. The research concludes that urgent measures are necessary to mitigate flood impacts, particularly as climate change reduces the return period of extreme events. The implementation of adequate infrastructure, informed by the presented risk modeling, and public awareness are essential for reducing vulnerability. Full article

Air pollution episodes caused by particulate matter (PM) persist in and around Kraków even after the city’s ban on solid fuels. We examine how household wealth and the ongoing replacement of old heat sources with modern, energy-efficient units affect these emissions. Years of hourly data from a network of low-cost sensors for neighboring municipalities are combined with the Poland building emissions register specifying the number and type of heating devices and municipal personal income tax records. Two distinct emission patterns emerge. Episodes of elevated concentrations near houses with old hand-loaded stoves follow pronounced behavioral cycles tied to residents return home hours and the nightly sleep cycle, whereas elsewhere the pattern is smoother—consistent with modern heating sources or with advection from dispersed upwind sources. Municipalities that recorded per capita income growth also showed declines in average PM concentrations, suggesting that rising incomes accelerate the transition to cleaner, more efficient heating. Our findings suggest that economic development is linked to the shift towards cleaner and more efficient energy, and that providing targeted support for low-income households should not be overlooked in completing the transition. Full article

The housing deficit in developing countries is a common challenge, primarily impacting low-income populations. This paper investigated interinstitutional workflows using Building Information Modelling (BIM) as a social technology to improve the efficiency of design and construction stages in social housing projects. Following a systematic literature review, process maps were developed and applied in a case study within a Brazilian urban community, located in a coastal city with a demographic density of 3602 inhabitants per square kilometre, involving a collaboration framework between a university and municipal authorities. Based on the party’s collaboration and precise cost estimation, the results indicate that this BIM-enabled collaboration supports the governmental decision-making process and leads to more effective resource management and optimised design costs, mainly during the design and construction phases. Therefore, this study concludes that digital modelling workflows are a powerful strategy for developing social housing projects because they facilitate the inclusion of families in the design and decision-making processes. Expanding this approach through integration with geospatial and public agency data is a promising area for future research, using such models in risk assessment policies and city urban planning. Full article

Germany’s energy transition to a higher share of renewable energy sources (RESs) is characterized by decentralization, with citizens, cooperatives, SMEs, and municipalities playing a central role. As of early 2025, private individuals own a significant share of renewable energy installations, particularly PV panels, which corresponds to approximately half of the total installed PV power. This trend is driven by physical, technological, and societal factors. Technological advances in battery storage and sector coupling are expected to further decentralize the energy system. Thereby, the electrification of mobility, particularly through electric vehicles (EVs), offers significant storage potential and grid-balancing capabilities via bidirectional charging, although it also introduces challenges, especially for distribution grids during peak loads. Within this work we present a detailed digital twin of the entire distribution grid of the rural German municipality of Wüstenrot. Using grid operator data and transformer measurements, we evaluate strategic expansion scenarios for electromobility, PV and heat pumps based on existing infrastructure and predicted growth in both public and private sectors. A core focus is the intelligent integration of EV charging infrastructure to avoid local overloads and to optimise grid utilisation. Thereby municipally planned and privately driven expansion scenarios are compared, and grid bottlenecks are identified, proposing solutions through charge load management and targeted infrastructure upgrades. This study of Wüstenrot’s low-voltage grid reveals substantial capacity reserves for future integration of heat pumps, electric vehicles (EVs), and photovoltaic systems, supporting the shift to a sustainable energy system. While full-scale expansion would require significant infrastructure investment, mainly due to widespread EV adoption, simple measures like temporary charge load reduction could cut grid stress by up to 51%. Additionally, it is shown that bidirectional charging offers further relief and potential income for EV owners. Full article

Objectives: A retrospective ecological study was conducted to analyze the relationship between the incidence of myocardial infarction with ST-segment elevation (STEMI) and various sociodemographic factors in municipalities within the Community of Madrid, a high-income and low-cardiovascular-risk European region. Methods: This study analyzed a database of patients registered in the regional network for STEMI care from January 2014 to December 2018. Thirty-four municipalities with populations greater than 10,000 inhabitants were included. The mean annual incidence of STEMI (iSTEMI) was estimated for each locality, and several variables of wealth, employment and social investment were obtained from public databases. Results: During the period of the study, 2561 confirmed STEMI cases were recorded in the selected localities, with an average incidence of 23 events per 100,000 inhabitants and year. The mean age was 62, with 83% of patients being male. Among municipalities included in the study, a significant direct correlation was found between iSTEMI and unemployment rate (r = 0.354, p = 0.04). A significant inverse correlation was found with all wealth-related variables, mainly with a composed deprivation (poverty) index (r = −0.624, p < 0.001) and the percentage of employees in the financial sector (r = −0.497, p = 0.003). No correlation was found between iSTEMI and the sociodemographic or public investment variables retrieved. Multiple regression analysis showed that the model best fitted when energy billed per inhabitant and mean income tax per taxpayer were introduced. Conclusions: Residents of areas with lower incomes and higher unemployment rates may be at a greater risk of STEMI. This should be taken into account when planning cardiovascular prevention and community health management. Full article

Background: The functional capacity of older adults is a critical determinant of autonomy and quality of life, particularly in low-income populations from remote regions with limited access to health services. This study aimed to characterize the functional fitness (FF) of community-dwelling older adults in the interior of Amazonas, Brazil, stratified by sex and age group. Methods: A cross-sectional study was conducted with 807 older adults (471 females), aged ≥ 60 years, from four municipalities in northern Brazil. The FF was assessed using the Senior Fitness Test (SFT), including measures of strength (30-s Chair Stand Test—CST; 30-s Arm Curl Test—ACT), flexibility (Chair Sit and Reach Test-CSAR, Back Scratch Test-BST), balance/agility (8-Foot Up-and-Go Test—FUG), and aerobic endurance (6-min walk test—6MWT). Descriptive statistics, confidence intervals, and age- and sex-specific percentiles were calculated. Results: Results indicated a progressive decline in FF with advancing age. Males outperformed females in strength and endurance tests, whereas females exhibited better flexibility. Notable reductions in performance were observed after age 75, particularly in CST, ACT, FUG, and 6MWT. Overall, the functional profiles of this population were below international norms, especially among females and individuals aged ≥ 80. The prevalence of overweight was 39.3%, with socioeconomic vulnerability affecting over 90% of participants. Conclusions: Older adults in low-income, remote Amazonian Brazilian communities demonstrate marked functional decline with ageing, influenced by socioeconomic and environmental constraints. These findings highlight the urgency of implementing accessible, community-based interventions focused on physical activity, strength, mobility, and endurance to support healthy ageing in underserved regions. Full article

Heatwaves are increasing in frequency and intensity owing to climate change, posing severe health risks to urban populations, particularly vulnerable groups. This study investigates public perceptions, adaptive behavior, and policy awareness regarding extreme heat in Gwangju Metropolitan City, South Korea, a heat-prone urban area. Using a mixed-methods approach, we analyzed primary survey data from 814 residents and secondary data from the 2020 Gwangju Citizen Heatwave Awareness Survey. Statistical analyses, including chi-squared and t-tests, examined differences across socioeconomic age groups. Results indicate that while general awareness of heatwave risks is high, low-income residents exhibit lower perceived severity, limited access to mechanical cooling, and greater reliance on passive avoidance behaviors. Awareness and use of municipal cooling shelters were low, with satisfaction hindered by concerns over accessibility, cleanliness, and operational hours. Television and emergency text alerts were the main information channels; however, trust and perceived usefulness were limited. Policy recommendations include spatially targeted shelter placement informed by vulnerability mapping, improved operational standards, diversified risk communication, and enhanced community engagement. This study underscores the importance of equity-driven adaptation strategies and provides practical insights for global municipalities facing similar climate-related heat risks. Full article

Both behavioral intentions and structural constraints shape household waste disposal in low-resource settings. This study integrates the Theory of Planned Behavior (TPB) with Environmental Justice (EJ) to examine informal waste disposal in Vhembe District, South Africa, a region marked by infrastructural deficits and uneven municipal services. A cross-sectional survey of 399 households across four municipalities assessed five disposal behaviors, including river dumping and domestic burial. Only 8% of households used formal bins, while over 50% engaged in open or roadside dumping. Although education and income were inversely associated with harmful practices, inadequate service access was the most significant constraint on formal disposal. Logistic regression revealed that rural residents and households in underserved municipalities were significantly more likely to engage in hazardous methods, regardless of socioeconomic status. These findings extend TPB by showing that perceived behavioral control reflects not only psychological agency but also material and institutional limitations. By reframing informal disposal as a structurally conditioned response rather than a behavioral deficit, the study advances EJ theory and provides a transferable TPB–EJ framework for decentralized, justice-oriented waste governance. The results underscore the need for Sustainable Development Goal (SDG)-aligned interventions that integrate equitable infrastructure with context-sensitive behavioral strategies. Full article

Smallholder farmers play a pivotal role in food production and rural development in South Africa. However, their productivity is often constrained by reliance on rainfed agriculture and the underutilisation of innovative technologies such as irrigation systems. This study assessed the impact of innovative irrigation system (IIS) use on crop yield among smallholder crop farmers (SCFs) in Mbombela Local Municipality. Focusing on vegetables and agronomic crop producers. Primary data was collected from 308 SCFs using a structured questionnaire through descriptive and cross-sectional survey design. A Probit regression model was used to estimate the probability of using an IIS, while Propensity Score Matching (PSM) estimated the average treatment effect on the treated (ATT) in terms of yield. The results reveal that age group (p = 0.080), main source of off-farm income (p = 0.042), and high input costs (p = 0.006) significantly determined IIS use. Impact analysis confirms that users of IISs achieved higher yields than non-users. The study concludes that innovative irrigation technologies can significantly improve smallholder productivity. It recommends that policymakers and government bodies prioritise scaling up access to IIS, introduce subsidies or low-interest financing schemes to alleviate the IIS usage costs, and strengthen extension services to provide targeted training on irrigation scheduling, system maintenance, and water-use efficiency. Full article

Substantial boosts in the low-energy nano-oxygenation of incoming process water were achieved at a municipal wastewater treatment plant (WWTP) upstream of activated sludge (AS) aeration lanes on a single-pass basis by means of an electric field nanobubble (NB) generation method (with unit residence times of the order of just 10–15 s). Both ambient air and O₂ cylinders were used as gas sources. In both cases, it was found that the levels of dissolved oxygen (DO) were maintained far higher for much longer than those of conventionally aerated water in the AS lane—and at DO levels in the optimal operational WWTP oxygenation zone of about 2.5–3.5 mg/L. In the AS lanes themselves, there were also excellent conversions to nitrate from nitrite, owing to reactive oxygen species (ROS) and some improvements in BOD and E. coli profiles. Nanobubble-enhanced Dissolved Air Flotation (DAF) was found to be enhanced at shorter times for batch processes: settlement dynamics were slowed slightly initially upon contact with virgin NBs, although the overall time was not particularly affected, owing to faster settlement once the recruitment of micro-particulates took place around the NBs—actually making density-filtering ultimately more facile. The development of machine learning (ML) models predictive of NB populations was carried out in laboratory work with deionised water, in addition to WWTP influent water for a second class of field-oriented ML models based on a more narrow set of more easily and quickly measured data variables in the field, and correlations were found for a more facile prediction of important parameters, such as the NB generation rate and the particular dependent variable that is required to be correlated with the efficient and effective functioning of the nanobubble generator (NBG) for the task at hand—e.g., boosting dissolved oxygen (DO) or shifting Oxidative Reductive Potential (ORP). Full article

This study examines the transformative impact of the Special Zones of Social Interest (AEIS-1) implemented in Diadema, São Paulo, in 1994, as an innovative urban policy tool in Brazil. Rooted in the principle of the social function of property established in the 1988 Federal Constitution, the research analyzes the development of social interest housing projects (HISs) led by housing movement associations. The study adopts a mixed-methods approach, combining primary data from local housing associations and the municipal government with geospatial analysis. The results reveal that between 1996 and 2013, over 20 LHISs were successfully established, directly benefiting approximately 2000 low-income families. These projects utilized a self-construction model financed entirely by families, overcoming the lack of public investment. The findings highlight the critical role of housing associations in organizing, planning, and implementing urban housing initiatives. This model not only addressed housing deficits but also fostered community resilience and inclusivity. By demonstrating how grassroots organizations can drive urban transformation, this research underscores the potential of participatory practices in advancing spatial justice and the right to the city. The Diadema case offers valuable insights for cities facing similar challenges, advocating for equitable and democratic urban development strategies. Full article

Analyzing the population’s access to ecosystem services offered by urban greening constitutes a measure of environmental justice, as it directly affects the quality of life and health of the population living in cities. This article is committed to proposing a geoenvironmental model in a geographic information system (GIS), envisaged to estimate the share of urban forests and green spaces in territorial planning units (TPUs), corresponding to neighborhoods of a pilot city, using high-spatial-resolution images of the China–Brazil Earth Resources Satellite (CBERS-4A) and the normalized difference vegetation index (NDVI). These data were combined by means of a Boolean analysis with social vulnerability indicators assessed from census data related to income, education, housing, and sanitation. This model ultimately aims to identify priority areas for urban afforestation in the context of environmental justice and is thus targeted to improve the inhabitants’ quality of life. The municipality of Goiânia, the capital of Goiás state, located in the Brazilian Central–West Region, was chosen as the study area for this experiment. Goiânia presents 19.5% of its urban territory (82.36 km²) covered by vegetation. The analyses indicate an inequity in the distribution of urban forest patches and green areas in this town, where 7.8% of the total TPUs have low priority, 28.2% have moderate to low priority, 42.2% have moderate to high priority, and 21.8% have high priority for urban afforestation. This urban greening imbalance is particularly observed in its most urbanized central nuclei, associated with a peripheralization of social vulnerability. These findings are meant to support initiatives towards sound territorial planning processes designed to promote more sustainable and equal development to ensure environmental justice and combat climate change. Full article

This study examines the demographic dynamics of Extremadura and Andalusia, two autonomous communities in southern Spain characterized by low income levels and marked territorial differences in terms of ageing and depopulation. Based on the observation of growing demographic pressure associated with low birth rates and emigration to more economically dynamic areas, a methodological approach based on spatial analysis techniques is proposed. In particular, the ageing index and demographic dependency ratio indicators are used, applying tools such as Hot Spot Analysis and Cluster and Outlier Analysis to identify significant spatial patterns and outliers. The results show a high concentration of ageing and dependency in provinces such as Cáceres and Almería, suggesting greater demographic vulnerability. In contrast, urban areas such as Seville and Granada, as well as the Guadalquivir depression, show more favorable indicators, reflecting greater resilience. Likewise, municipalities with demographic behavior that is anomalous with respect to their surroundings are detected, which raises the need for micro-territorial studies aimed at understanding these exceptions and designing more effective public policies adapted to the local context. Full article

Floodplain agriculture is a practice that involves cultivating arable soils along riverbanks and reservoirs, which become submerged during the rainy season. This study aimed to analyze the socioeconomic aspects of floodplain farmers in the municipalities of Amarante, Floriano, and Uruçuí along the banks of the Parnaíba River in northeastern Brazil. We conducted semi-structured interviews using the rapport technique. Data were analyzed using generalized linear models with four distributions (gamma, inverse Gaussian, exponential, and Gaussian), with the aim of identifying patterns and relationships between socioeconomic variables and production system profiles. The average age of respondents was 49 years across the three communities, with a predominance of male farmers. Regarding the length of residence, communities in Uruçuí had lived in the area the longest. In terms of monthly income, 80% of farmers earned up to one minimum wage. Land size analysis indicated that properties in Amarante had the highest average land area in hectares. We conclude that agriculture in the region studied is dominated by manual planting, low adoption of technologies, and scarce use of soil conservation techniques, suggesting more sustainable agricultural practices, the development of management plans, and rural extension practices. Full article

How to promote the household energy transition (HET) has become an important response to extreme climate change. Our paper examines whether a low-carbon city pilot (LCCP) can promote HET. We empirically use the Staggered Difference-in-Differences (DID) model to explore its mechanisms. The results indicate that the LCCP can substantially promote HET. The primary driving mechanism underlying this transition is enhanced governmental emphasis on carbon emission reduction and elevated public environmental awareness. However, the increased local expenditure on energy conservation and environmental protection does not serve as an effective mechanism. The heterogeneity analysis reveals that the LCCP has the most pronounced impact on HET among high-income groups, whereas the effect on low-income groups is relatively minor. Furthermore, the LCCP significantly promotes HET in the eastern region and urban areas, while the central region tends to inhibit it, and the western region and rural areas show no significant effect. The heterogeneity analysis further reveals that the LCCP is effective in Municipalities and Strong-Capital Provinces, where centralized governance and strong political incentives enhance policy implementation. In contrast, the policy shows limited or even negative effects in Non-Municipal Provinces and Non-Strong-Capital Provinces. We provide valuable policy insights for governments to bolster the LCCP implementation to promote HET and achieve carbon neutrality at an earlier stage. Full article