Large Urban Areas Research Articles

Growing green: Exploring the drivers of citizens’ participation in Italian urban and peri-urban forestation governance

Urban and peri-urban forests (UPUFs) are essential components of urban landscapes that offer multiple benefits to local communities, above all to those who live in large cities. This realization has fueled the interest of the scientific community in understanding citizens’ attitudes and perceptions towards UPUFs, focusing on the diverse ecosystem services they provide in social and environmental terms. However, less attention has been paid to the citizens’ perceptions and attitudes about UPUFs in relation to their willingness to participate in their governance. This quantitative study aims to address this gap by identifying the main factors that affect citizens’ participation in UPUFs governance. Conducted in large Italian Metropolitan Functional Urban Areas, composed of a city and its commuting zone, with a population above 500,000 inhabitants, this study provides valuable insights into citizens’ willingness to participate in UPUFs governance. Results indicate that citizens' socio-demographic factors (especially education, age, and income) and the frequency of visits impact their perception of UPUFs. High positive perceptions of environmental quality and low perceptions of the negative impact of UPUFs promote active participation in governance, especially among young citizens with heightened green space sensitivity, among those dissatisfied with current green space management and those advocating for effective communication campaigns. These findings can provide a practicable scientific reference for municipalities to refine their corresponding decision-making and communication, and to devise effective urban forest programs.

Early Health Impacts of a Primary Care Consultation Model for People Served by Assertive Community Treatment teams.

The cardiometabolic health outcomes and life expectancy of people living with serious mental illness (SMI) continue to significantly flag behind that of the general population. This study explores the possibility of using the evidence-based Assertive Community Treatment (ACT) model and infrastructure to increase access to primary care and improve cardiometabolic outcomes of people with SMI. Four ACT teams in a large urban area received the services of a primary care consultant who was co-located at a Federally Qualified Health Center (FQHC), met regularly with ACT team clinicians to review a cardiometabolic registry of participants, and engaged participants in primary care services. Health screening rates, primary care utilization, and cardiometabolic outcomes-body mass index, blood pressure, hemoglobin A1c, cholesterol, and tobacco smoking status-were monitored over the course of a year. The efficacy of this integrated care model was also explored through focus groups with ACT team staff and participants. Significant improvements in screening rates were found for the ACT teams that received this integrated care intervention; however, only modest improvements in cardiometabolic outcomes were found. Future longitudinal, multi-site studies are needed to fully determine the impact of integrated care models on the physical health outcomes of this vulnerable population.

Modeling building energy self-sufficiency of using rooftop photovoltaics on an urban scale

The significant contribution of buildings to global energy-related CO2 emissions and climate change has led to projections of a carbon–neutral building stock by 2050. This study evaluates the potential contribution of rooftop photovoltaics to urban energy self-sufficiency by developing an enhanced CityBEM framework, our in-house urban building energy model (UBEM). This methodology enables city-scale, simultaneous simulations of building energy use and rooftop photovoltaic retrofitting with low computational time. CityBEM’s robustness and high spatiotemporal resolution facilitate transient simulations of individual buildings with diverse usage types across large urban areas, addressing common computational constraints and input data limitations in UBEM applications. The rooftop photovoltaic model in CityBEM utilizes a comprehensive approach with physics-based modeling of crystalline PVs, model validation, and a proper design of array networks to manage self-shading effects. More than 57,000 buildings with a combined footprint of 32.37 million square meters are located in the simulation test case covering downtown Montreal (Quebec, Canada) and the surrounding areas. Results indicate that rooftop PV adoption in these buildings could potentially generate 5.9 TWh of electricity annually, reduce energy demand by 27.3%, and achieve an average annual energy saving of 40%. This local generation could also reduce operational CO2 equivalent emissions by over 0.2 megatons. Overall, this study highlights the significant potential of rooftop photovoltaics for a cleaner, more energy self-sufficient urban future.

A-287 Mycoplasma pneumoniae outbreak in 2023: Post pandemic resurgence of an atypical bacterial pathogen

Abstract Background Mycoplasma pnuemoniae is an atypical fastidious bacteria known to cause respiratory infections of both upper and lower tract, with a wide range of clinical presentations. M. pnuemoniae is one of the major causes of community acquired pneumonias worldwide. Almost all of the M pnuemoniae outbreak incidences have been reported in closed- community or congregate settings, such as schools, universities and colleges, and hospitals and long-term care facilities. Since the clinical symptoms of M pneumoniae overlap with other pneumonia causing pathogens, detection via multiplex PCR remains paramount for accurate and timely diagnosis to curb the infection spread. In the present study we demonstrate an unexpected increase in the detection of M. pneumoniae in the outpatient population, during 2023, as compared to the previous two years. In addition, a detailed analysis of the ICD10 diagnostic codes associated with the outbreak is also presented. Methods Respiratory samples (oropharyngeal, nasopharyngeal, sputum and EBL) summited to the HealthTrackRX laboratories were tested for the presence of M. pneumoniae and other respiratory bacterial and viral pathogens using the nanofluidic OpenArray qPCR platform (ThermoFisher, California, USA). Patient data was analyzed on the basis of age, gender and geographical location. Data was also classified in the basis of ICD10 diagnostic codes associated with the patient samples. All statistical analysis was performed using R version 3.6.0 (R Foundation for Statistical Computing). Results A total of 541,267 samples were submitted for testing at the HealthTrackRX facilities between January 1, 2021 and December 31, 2023. Only 13 samples tested positive for M. pneumoniae between 2021 (0.004%, n =3/61,498) and 2022 (0.006%, n = 10/165,423). The positivity rate of M. pneumoniae in 2023 increased to 0.19% (n = 621/314,346). The highest proportion of M. pneumoniae cases were detected from Georgia (26.8%), followed by Ohio (21.7%), Texas (8.5%) and California (6.4%). Most of the outbreak appears to be concentrated in large urban settings. Median age of the patients testing positive for M. pneumoniae was 10 (interquartile range [IQR] 8-18) years. Gender classification of the positive samples showed an almost equal distribution between females (49.8%) and males (50.1%). Co-infecting pathogens detected in samples positive for M. pneumoniae were similar in proportion to the M. pneumoniae negative population. The co-detected pathogens at a statistically significant difference were lower than the negative population. Survey of the ICD-10 codes submitted in conjunction with the samples suggest that the current outbreak is mostly associated with upper respiratory tract infections. Conclusions The present study shows an unprecedented increase in the detection of M. pneumoniae in the outpatient population in the United States during 2023. Our analysis suggests that this outbreak was not associated with any other bacterial or viral respiratory pathogen but appears to be case of “immunity debt” caused by the COVID19 pandemic. The outbreak of this atypical pathogen was concentrated in the pediatric population in large urban areas. Our study highlights the importance of performing continuous surveillance of respiratory pathogens, especially in the altered epidemiological landscape of the post COVID world.

Assessing dynamics of urban solar PV power generation using grid divisional method

The assessment of solar energy potential and urban density has become a crucial prerequisite for urban sustainable development. However, two significant challenges persist: the high computational cost associated with assessments across large urban areas and the lack of detailed rooftop information for each building. This study aims to integrate solar photovoltaic (PV) systems in urban environments of varying built density in an Indian city and assesses the solar energy potential (SEP) using grid divisional method and simulations. The methodology involved extracting, filtering and developing a 2.5 D model with GIS using the open buildings dataset, followed by simulations of grid-connected PV systems using PV-Sol. The results demonstrated the dynamics in correlation of SEP and grid morphology indicators, with built density and roof area showing a strong positive relation. The financial analysis resulted in average payback period of 8–10 years. The study also highlighted significant CO2 emission reductions, with thermal power plants generating 26,982 tons/kWh compared to just 1,513 tons/kWh for solar power. The findings demonstrate the financial viability and environmental benefits of PV adoption in urban areas, offering crucial insights for sustainable energy planning and policy development.

Characteristics of walk-in clinic physicians and patients in Ontario: Cross-sectional study.

To describe family physicians who primarily practise in a walk-in clinic setting and compare them with family physicians who provide longitudinal care. A cross-sectional study that linked results from a 2019 physician survey to provincial administrative health care data in Ontario. The characteristics, practice patterns, and patients of physicians primarily working in a walk-in clinic setting were compared with those of family physicians providing longitudinal care. Ontario. Physicians who primarily worked in a walk-in clinic setting in 2019, as indicated by an annual physician survey. Physician demographic and practice characteristics, as well as their patients' demographic and health care utilization characteristics, were reported according to whether the physician was a walk-in clinic physician or a family physician who provided longitudinal care. Compared with the 9137 family physicians providing longitudinal care, the 597 physicians who self-identified as practising primarily in walk-in clinics were more frequently male (67% vs 49%) and more likely to speak a language other than English or French (43% vs 32%). Walk-in clinic physicians tended to have more encounters with patients who were younger (mean 37 vs 47 years), who had lower levels of prior health care utilization (15% vs 19% in highest band), who resided in large urban areas (87% vs 77%), and who lived in highly ethnically diverse neighbourhoods (45% vs 35%). Walk-in clinic physicians tended to have more encounters with unattached patients (33% vs 17%) and with patients attached to another physician outside their group (54% vs 18%). Physicians who primarily work in walk-in clinics saw many patients from historically underserved groups and many patients who were attached to another family physician.

INTEGRATED MODEL FOR FORECASTING TIME SERIES OF ENVIRONMENTAL POLLUTION PARAMETERS

The quality of life in large urban areas is considerably diminished by air pollution, with major contributors being motor vehicles, industrial activities, and fossil fuel combustion. A major contributor to air pollution is coal-fired and thermal power plants, which are commonly found in emerging markets. In Astana, Kazakhstan, a rapidly expanding city's significant reliance on coal for heating and considerable building exacerbate air pollution. This research is essential for improving urban development practices that support sustainable growth in rapidly expanding cities. Using time series data from four monitoring stations in Astana using fractal R/S analysis, the study looks at long-term patterns in air pollutant levels, especially PM10 and PM2.5. The stations' Hurst exponents were determined to be 0.723, 0.548, 0.442, and 0.462. Additionally, the flow window method was used to study the Hurst exponent's dynamic behavior. The findings showed that one station's pollution levels had long-term memory, which suggests that the time series is persistent. While anti-persistence was noted in the third and fourth sites, data from the second station indicated nearly random behavior. The Hurst exponent values explain the October 2021 spike in pollution levels, which is probably caused by thermal power plants close to the city. The fractal analysis of time series could serve as an indicator of environmental conditions in a given region, with persistent pollution trends potentially aiding in predicting critical pollution events. Anti-persistence or temporary pollution spikes may be influenced by the observation station's proximity to pollution sources. Overall, the findings suggest that fractal time series analysis can act as a valuable tool for monitoring environmental health in urban areas.

Groundwater in Katowice - center of a large urban and deep coal mining area in Poland

The paper presents the groundwater resources of Katowice and the results of studies conducted to identify prospective areas in aquifers with sufficient water resources for the location of public water intakes. The city of Katowice is the capital of Upper Silesia, the largest urban-industrial area in Poland, the region with a highly developed hard coal mining and many other different industries covering almost the entire scope of the economy. Due to long term drainage of mines causing the depletion and deterioration of groundwater and surface water resources, the main municipal water intakes have been located outside Katowice. Most of the pumped mine water is discharged into surface waters, causing significant salinity of water and disallow its use for municipal or industrial purposes in Katowice. The water collection and supply system is very extensive and covers a significant part of the Silesian agglomeration which is why Katowice is supplied with water from surface water intakes located outside the city. According to older published materials, such as the Hydrogeological map of Poland, there were no aquifers in the city that could have been used to supply the city with drinking water, however recent studies have shown that groundwater in the Quaternary aquifers in the western part of the city can be used to supply the city with public water. Less productive, Quaternary aquifers in north-eastern parts of the city may constitute the basis for drinking water supply in emergency situations, when surface intakes cannot be used, such as toxic, radiological or viral contamination or damage to the water supply network eg. as a result of an earthquake or warfare.

A New Method Proposed for the Estimation of Exposure to Atmospheric Pollution through the Analysis of Black Pigments on the Lung Surface

Megacities can be considered excellent laboratories for studying the effects of the urban environment on human health. Typically, exposure to pollution is estimated according to daily or annual averages of pollutant concentrations, collected at monitoring stations, using satellite data for remote sensing of pollutant levels, considering proximity to major roads, or through personal exposure monitoring with portable sensors. However, these approaches fall short in identifying individual exposure values over a lifetime. It is well established that individuals living in large urban areas inhale atmospheric particles containing carbonaceous components, resulting in the deposition of black pigments in lung tissue, known as black carbon or anthracosis. This study aims to detail the procedures for assessing the deposition of such pigments, which serve as an estimate of an individual’s exposure to atmospheric pollution particles. Data collection involves administering detailed questionnaires and capturing lung images in the autopsy room. The analysis is based on macroscopic quantification of black pigments, supplemented by an evaluation of personal habits and the clinical histories of the individuals. This method of estimating lifetime exposure to inhaled particles provides a valuable tool for understanding the correlation between urban living and its potential health effects.

Evaluation of the Urban Canopy Scheme TERRA-URB in the ICON Model at Hectometric Scale over the Naples Metropolitan Area

The present work is focused on the validation of the urban canopy scheme TERRA-URB, implemented in ICON weather forecast model. TERRA-URB is used to capture the behavior of urbanized areas as sources of heat fluxes, mainly due to anthropogenic activities that can influence temperature, humidity, and other atmospheric variables of the surrounding areas. Heat fluxes occur especially during the nighttime in large urbanized areas, characterized by poor vegetation, and are responsible for the formation of Urban Heat and Dry Island, i.e., higher temperatures and lower humidity compared to rural areas. They can be exacerbated under severe conditions, with dangerous consequences for people living in these urban areas. For these reasons, the need of accurately forecasting these phenomena is particularly felt. The present work represents one of the first attempts of using a very high resolution (about 600 m) in a Numerical Weather Prediction model. Performances of this advanced version of ICON have been investigated over a domain located in southern Italy, including the urban metropolitan area of Naples, considering a week characterized by extremely high temperatures. Results highlight that the activation of TERRA-URB scheme entails a better representation of temperature, relative humidity, and wind speed in urban areas, especially during nighttime, also allowing a proper reproduction of Urban Heat and Dry Island effects. Over rural areas, instead, no significant differences are found in model results when the urban canopy scheme is used.

Effects of urbanization on cloud-to-ground lightning strike frequency: a global perspective.

Urbanization tends to increase local lightning frequency (i.e. the 'lightning enhancement' effect). Despite many urban areas showing lightning enhancement, the prevalence of these effects is unknown and the drivers underlying these patterns are poorly quantified. We conducted a global assessment of cloud-to-ground lightning flashes (lightning strikes) across 349 cities to evaluate how the likelihood and magnitude of lightning enhancement vary with geography, climate, air pollution, topography and urban development. The likelihood of exhibiting lightning enhancement increased with higher temperature and precipitation in urban areas relative to their natural surroundings (i.e. urban heat islands and elevated urban precipitation), higher regional lightning strike frequency, greater distance to water bodies and lower elevations. Lightning enhancement was stronger in cities with conspicuous heat islands and elevated urban precipitation effects, higher lightning strike frequency, larger urban areas and lower latitudes. The particularly strong effects of elevated urban temperature and precipitation indicate that these are dominant mechanisms by which cities cause local lightning enhancement.

All-cause mortality due to conduction abnormalities in the United States: Sex, racial, and geographic variations from 1999 to 2022

BackgroundMortality related to conduction abnormalities in the United States (US) population is not well documented. Population-based stratification approaches can improve public health policies and targeted strategies. ObjectiveThe purpose of this study was to evaluate all-cause mortality related to conduction abnormalities in the US population MethodsThe Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database was used to calculate the age-adjusted mortality rate (AAMR) per 100,000 individuals older than 35 years related to conduction abnormalities between 1999 and 2022. ResultsA total of 207,861 deaths were attributed to conduction abnormalities throughout the study period ,with 56,186 of these deaths occurring between 2020 and 2022. All-cause mortality related to conduction abnormalities has increased during the past decade with an exponential growth in 2020–2021 (coronavirus disease 2019 era; annual percent change of 16.6% per year). Although the mortality rates decreased in 2022, they remained elevated compared to 2019–2020. Throughout the past 2 decades, males consistently exhibited higher mortality rates than females, with the rate in 2022 being 1.5 times higher (AAMR 11.4 vs 7.0 per 100,000). Non-Hispanic Black patients experienced a significantly higher mortality rate compared to non-Hispanic White individuals in the study period (AAMR 13.7 vs 8.6 per 100,000 in 2022). In the past 2 decades, mortality has been persistently higher in rural and small- to medium-sized metropolitan areas than in large metropolitan urban areas. ConclusionMortality rates related to conduction abnormalities have increased over the past decade, and persistent disparities have been observed. These data suggest that continued innovative outreach approaches and engagement with underrepresented populations remain essential.

Exposure to bovine livestock and latent tuberculosis infection in children: Investigating the zoonotic tuberculosis potential in a large urban and peri-urban area of Cameroon.

Bovine tuberculosis (bTB), a neglected zoonotic disease, is endemic in cattle in many Sub-saharan African countries, yet its contribution to tuberculosis (TB) burden is understudied. Rapid urbanisation and increase in demand for animal proteins, including dairy products, increases the risk of spill over. This study compared the latent tuberculosis infection (LTBI) risk in children, a proxy-measure for recent TB infection, in children living in high cattle density areas to children from the general population in Cameroon. Cross-sectional study in the Centre Region of Cameroon in 2021, recruiting 160 children aged 2-15 years, stratified by exposure to livestock, people treated for pulmonary TB (PTB) and the general community. Veinous blood was tested for LTBI using QuantiFERON-TB Gold-Plus. Prevalence were calculated and the association to exposure and other risk factors investigated using logistic regression models. The crude LTBI prevalence were 8.2% in the general population, 7.3% in those exposed to cattle and 61% in pulmonary TB household contacts. After adjusting for confounding and sampling design, exposure to cattle and exposure to pulmonary TB were associated with higher risk of LTBI than the general population (respectively odds ratio (OR): 3.56, 95%CI: 0.34 to 37.03; and OR: 10.36, 95%CI: 3.13 to 34.21). Children frequently consuming cow milk had higher risk of LTBI (OR: 3.35; 95%CI 0.18 to 60.94). Despite limited statistical power, this study suggests that children exposed to cattle in a setting endemic for bTB had higher risk of LTBI, providing indirect evidence that Mycobacterium bovis may contribute to TB burden.

Development, Calibration and Validation of Time Series Analysis and Artificial Neural Network Joint Model for Urban Noise Prediction

Noise in large urban areas, which is mainly generated by road traffic and by the human activities carried out nearby and inside the area under study, is a relevant problem. The continuous exposure to high noise levels, in fact, can lead to several problems, largely documented in the scientific literature. The analysis and forecasting of the noise level in a given area are, then, fundamental for control and prevention, especially when field measurements present peculiar trends and slopes, which can be modeled with a Time Series Analysis approach. In this paper, a hybrid model is presented for the analysis and the forecasting of noise time series in urban areas: this technique is based on the application of a deterministic decomposition model followed in cascade by a predictor of the forecasting errors based on an artificial neural network. Two variants of the hybrid model have been implemented and presented. The time series used to calibrate and validate the model is composed of sound pressure level measurements detected on a busy road near the commercial port of an Italian city. The proposed hybrid model has been calibrated on a part of the entire time series and validated on the remaining part. Residuals and error analysis, together with a detailed statistical description of the simulated noise levels and error metrics describe in detail the method’s performances and its limitations.

Building running-friendly cities: effects of streetscapes on running using 9.73 million fitness tracker data in Shanghai, China

The association between built environment and physical activity has been recognized. However, how and to what extent microscale streetscapes are related to running activity remains underexplored, partly due to the lack of running data in large urban areas. Moreover, few studies have examined the interactive effects of macroscale built environment and microscale streetscapes. This study examines the main and interactive effects of the two-level environments on running intensity, using 9.73 million fitness tracker data from Keep in Shanghai, China. Results of spatial error model showed that: 1) the explanatory power of microscale streetscapes was higher than that of macroscale built environment with R2 of 0.245 and 0.240, respectively, which is different from the prior finding that R2 is greater for macroscale built environment than for microscale streetscape; 2) sky and green view indexes were positively associated with running intensity, whereas visual crowdedness had a negative effect; 3) there were negative interactions of land use Herfindahl–Hirschman index with sky and green view indexes, while a positive interaction was observed for visual crowdedness. To conclude, greener, more open and less visually crowded streetscapes, can promote running behavior and enhance the benefits of land use mix as well. The findings highlight the importance of streetscapes in promoting running behavior, instead of a supplement to macroscale built environment.

Budget impact analysis of implementing trauma registries in Argentina

IntroductionIn high-income countries, quality improvement interventions and research are usually guided by trauma registries. In low- and middle-income countries, the implementation of trauma registries has been limited mainly for cost reasons. ObjectiveTo analyze the budgetary impact of the implementation of trauma registries in Argentina. MethodsWe estimated direct costs of implementing trauma registries in public hospitals located in cities with a population over 50,000 inhabitants. In large urban areas, we selected hospitals by estimating a minimum volume of 240 severe trauma admissions/year and using the NBATS-2 instrument with geolocation techniques. We estimated costs based on a micro-costing approach of a trauma registry developed by Fundación Trauma. Scenario analysis was carried out restricting the population to hospitals from bigger cities and/or with higher concentration of trauma patients’ care. For the high budget impact threshold, we used the total health spending estimation, and alternatively the health spending of the public sector. ResultsFor the base case, 139 hospitals from 104 cities were included, comprising 175,605 injury-related discharges and 13,707 severely injured patients/year. The average cost for the initial three years was USD 3,753,085 (21.4 USD/per patient), falling below the high budget impact thresholds. The scenarios analysis showed a significantly costs reduction. ConclusionsThe implementation of trauma registries in Argentina would be affordable, and in consequence, it would improve the coordination, management and quality of care for this great public health issue.

FAR regulations and the spatial size of Brazilian cities

ABSTRACT This paper evaluates the influence of the maximum allowed floor area ratio (FAR) on the spatial size of Brazilian cities. We built a novel database on building height restrictions for the 325 largest cities in the country and combined it with recent satellite data. Our estimations show that, as predicted by the monocentric model, tighter constraints are associated with larger urban areas, and this result is robust to several specifications, sensitivity tests and different estimation strategies. Additionally, back-of-the-envelope calculations show that a higher stringency of the building-height regulation generates an annual cost of about US$9.67 million per average Brazilian city.

Lifetime prevalence of psychotic-like experiences and associated factors in Chile.

Psychotic-like experiences (PLEs), which include hallucinations and delusional experiences, are usually present in healthy populations, and their persistence, quality, and severity are associated with the development of psychiatric diseases, including schizophrenia and other poor psychosocial outcomes. Urbanicity, depression, and other psychosocial stressors have been associated with PLEs. However, evidence of PLEs in Latin American (LATAM) countries is still scarce, and there are no studies about PLEs in Chile. The main aim of this study is to describe the prevalence of PLEs in a nationally representative sample according to othersocial determinants of health. The last results of the Chilean National Health Survey (ENS 2016-2017) were analyzed. PLEs were obtained from the Composite International Diagnostic Interview (CIDI) 3.0 and included in this survey. Other psychosocial variables (age, sex, educational level, financial stress, depressive symptoms, and urbanicity) were also included for further analysis. Exclusion criteria were (1) > = 65 and < 18years old, and (2) previous diagnosis or treatment for schizophrenia or bipolar disorder. Descriptive statistics were used to describe data, and Poisson regression models were performed to weight variables and find psychosocial correlations with PLEs. 2095 subjects were considered for this study (women 62.9% and mean age = 42.5, SD = 13.5). The lifetime prevalence of the PLEs (> = 1 PLE) in Chile was 12.9%. Visual hallucinations were the most common PLE (9.6%), and ideas of reference were the least common (0.4%). The Poisson regression model showed a higher prevalence of PLEs in the Gran Concepción conurbation (OR = 2.56) and Gran Valparaíso conurbation (OR = 1.69) compared with non-big cities. On the other hand, the 18-24year group had higher PLEs prevalence compared to other age groups. No correlations were found with educational status, financial stress, or depressive symptoms. A relatively high prevalence of PLEs was found in the Chilean general population, particularly in youth living in large urban areas (Gran Valparaíso and Gran Concepción), which is compatible with previous research. Considering that there were no correlations between low educational level and financial or depressive symptoms, it is necessary to have more studies that correlate other urban relevant variables, such as natural disasters, drug consumption, and domestic or neighborhood violence.

Multi-decadal groundwater observations reveal surprisingly stable levels in southwestern Europe

Climate change and human activity are leading to water scarcity in southwestern Europe. Groundwater use is thought to be unsustainable in the region, yet regional assessments using measured data are missing. Here, we evaluate long-term trends and drivers of groundwater levels and found a more complex situation. Historical data (1960–2020) from 12,398 wells in Portugal, Spain, France, and Italy showed 20% with rising groundwater levels, 68% were stable, and only 12% were declining. Rising wells in temperate climates were due to increased precipitation. Recovering wells in semi-arid regions were attributed to improved groundwater management. Stable wells are concentrated in temperate climates with year-round high precipitation. Declining wells in semi-arid regions are primarily located near agricultural areas and experience prolonged summer soil moisture loss, whereas in temperate regions, the decline is associated with large urban areas. Systematic groundwater monitoring and data sharing are essential for sustainable and science-based water resources management.

Urban Air Pollution Exposure Impact on COVID-19 Transmission in a Few Metropolitan Regions

Based on outdoor air pollution and meteorological daily time series observational and in-situ monitoring data, this study investigated the impacts of environmental factors under different urban climates on COVID-19 transmission in four hotspot European metropolises (Berlin, London, Madrid, and Paris) from March 2020 to March 2022. Through applied statistical methods and cross-correlation tests involving multiple datasets pertaining to the main air pollutants (inhalable particulate matter PM2.5 and PM10, nitrogen dioxide (NO2), and ozone (O3)) and climate parameters (air temperature at 2 m height, relative humidity, wind speed intensity and direction, planetary boundary layer height, and surface solar irradiance), a direct positive impact of aerosol loading (PM2.5, PM10, and aerosol optical depth (AOD)) on COVID-19 spreading and severity was revealed. Despite some urban differences existing between the selected cities, particularly for the spring–summer periods, we have observed negative correlations between daily new COVID-19 cases and deaths and daily average ground-level ozone concentration, air temperature at 2 m height, planetary boundary layer height, and surface solar irradiance. Air relative humidity and urban population density have a direct impact on COVID-19 diffusion in large metropolitan areas, and the findings of this study highlight the crucial role of air pollution, in synergy with climate variability, in viral pathogens dispersion in COVID-19 transmission in large urban areas. This information can be used by decision-makers to develop targeted interventions during epidemic periods to reduce the potential risks associated with air pollution exposure and to promote the sustainable development of urban economies.