Industrial Sources Research Articles

Sources and health risks of heavy metals in kindergarten dust: The role of particle size

Particle size effects significantly impact the concentration and toxicity of heavy metals (HMs) in dust. Nevertheless, the differences in concentrations, sources, and risks of HMs in dust with different particle sizes are unclear. Therefore, guided by the definition of atmospheric particulate matter, dust samples with particle sizes under 1000 μm (DT1000), 100 μm (DT100), and 63 μm (DT63) from Beijing kindergartens were collected. The concentrations of HMs (e.g., Cd, Pb, Zn, Ni, Cr, Ba, Cu, V, Mn, Co, and Ti) in dust samples with different particle sizes were measured. Besides, the differences in HM concentrations, contamination levels, sources, and source-oriented health risks in dust samples of different particle sizes were systematically explored. The results show that the concentrations of Mn, V, Zn, and Cd gradually increase with decreasing dust particle sizes, the concentrations of Ba and Pb show a decreasing trend, and the concentrations of Cr, Cu, Ni, and Co display an increasing and then decreasing trend. The degree of contamination of HMs in dust of different particle sizes varies, with Cd being the most dominant contaminant. Compared with DT1000 and DT63, DT100 is the most polluted. In addition, the sources of HMs in DT1000, DT100, and DT63 become more single with decreasing particle size, which may be mainly due to the particle-size effect inducing the redistribution of HMs in different sources. Notably, the potential health risk is higher in DT100 than in DT1000 and DT63. The highest contribution of industrial sources to the health risk is found in DT100, which is mainly caused by highly toxic chromium (Cr). This work emphasizes the importance of considering particle size in risk assessment and pollution control, which can provide a theoretical basis for precise management of HMs pollution in dust.

Carbon Dioxide Adsorption over Activated Biocarbons Derived from Lemon Peel.

The rising concentration of CO2 in the atmosphere is approaching critical levels, posing a significant threat to life on Earth. Porous carbons derived from biobased materials, particularly waste byproducts, offer a viable solution for selective CO2 adsorption from large-scale industrial sources, potentially mitigating atmospheric CO2 emissions. In this study, we developed highly porous carbons from lemon peel waste through a two-step process, consisting of temperature pretreatment (500 °C) followed by chemical activation by KOH at 850 °C. The largest specific surface area (2821 m2/g), total pore volume (1.39 cm3/g), and micropore volume (0.70 cm3/g) were obtained at the highest KOH-to-carbon ratio of 4. In contrast, the sample activated with a KOH-to-carbon ratio of 2 demonstrated the greatest micropore distribution. This activated biocarbon exhibited superior CO2 adsorption capacity, reaching 5.69 mmol/g at 0 °C and 100 kPa. The remarkable adsorption performance can be attributed to the significant volume of micropores with diameters smaller than 0.859 nm. The Radke-Prausnitz equation, traditionally employed to model the adsorption equilibrium of organic compounds from liquid solutions, has been shown to be equally applicable for describing the gas-solid adsorption equilibrium. Furthermore, equations describing the temperature dependence of the Radke-Prausnitz equation's parameters have been developed.

Condensable and filterable particulate matter emitted from typical diesel vehicles in steady and transient driving conditions

Condensable particulate matter (CPM) and filterable particulate matter (FPM) emitted from industrial sources have been well studied, but their emissions from vehicles have not yet been covered. This study explores the emission characteristics of CPM and FPM from typical diesel vehicles under various driving conditions. The emission factors (EFs) of CPMs under driving conditions were 5.4–10.4 times higher than those of FPMs, while CPMs EFs under transient driving conditions were about 2.5 times higher than those under steady driving conditions. CPM and FPM are mainly composed of organic matter accounting for 53.3 %−92.9 %, while the intermediate and semi-volatile organic compounds dominate the organic matter accounting for 86.3 %−98.6 %. Similar to industrial sources, alkanes are the predominant organic species emitted by diesel vehicles, comprising 42.0 %−64.0 % of the detected organic components. Inorganic CPM is primarily composed of NH4+ , representing 84.9 %−87.6 % of the total, in contrast to industrial sources where SO42- and Cl- dominate. Interestingly, the air pollution control devices installed on diesel vehicles under steady driving conditions perform better in removing organic CPM and producing higher inorganic CPM emissions than those under transient driving conditions. These findings will enhance the comprehensive understanding of particulate matter emitted from diesel vehicles and provide a scientific foundation for the development of related control technologies.

Modeling and simulation for the sustainable recovery of aromatics (BTX) from petrochemical industrial wastewater.

Petrochemical wastewater is a major industrial source of pollution that produces a variety of toxic organic and inorganic pollutants, naturally present or added during the process. These pollutants are a serious threat to the soil, water, environment, and human being due to their complex and hazardous nature. Glycols such as monoethylene glycol (MEG), diethylene glycol (DEG), triethylene glycol (TEG), and aromatics (BTX-benzene, toluene, and xylene) are the most common organic impurities present in petrochemical wastewater. The objective of this paper is to recover aromatics and water from petrochemical industrial wastewater. The reclamation process is used to remove inorganic impurities such as heavy metals Fe, Zn, Pb, Mn, Al, Ni, As, Cr, Cu, Cd, and K and salts. In the present work, 1% sodium bi-carbonate (NaHCO3) is used to precipitate the inorganic impurities present in the wastewater at 40°C atmospherically. Aspen Hysys simulation software is used for modeling and simulation for the treatment process using NRTL (non-random-two-liquid) thermodynamic model. The process generated from Aspen Hysys is validated with lab experiments. To support global sustainable development, this study is focused on reducing, reusing, and recycling separation techniques such as centrifuge separation and vacuum distillation have been used. The characterization of regenerated water was performed using ICP-OES (inductively coupled plasma-optical emission spectroscopy) to determine the reduction in heavy metals. It was found that > 99.5% of heavy metals were removed. The regeneration of these aromatics is necessary for economic and environmental reasons so that it can be reused to avoid its disposal in and contamination of natural environments.

Maternal Exposure to Heavy Metals From Industrial Sources During Pregnancy and Childhood Cancer Risk in California.

The study investigated maternal exposure to heavy metals from industrial sources during pregnancy as potential risk factors for childhood cancer. Cases ages 0-19 were identified from California Cancer Registry. Controls (20:1 ratio) were randomly selected from California Birth Registry, frequency-matched by birth year (1998-2016). We estimated maternal exposure to lead, nickel, and cobalt in ambient air from the Toxics Release Inventory. We examined "ever/never" and "high/low" exposures categorized by median exposure. Models were adjusted for maternal age, race/ethnicity, method of payment for prenatal care, neighborhood socioeconomic status, and urban/rural residence. Among highly exposed persons, lead was associated with an increased teratoma risk (adjusted odds ratio [aOR]: 1.52; 95% confidence interval [CI]: 0.97, 2.37), whereas nickel was associated with an increased rhabdomyosarcoma risk (aOR: 1.45; 95% CI: 1.03, 2.04). Cobalt was associated with an increased glioma risk (aOR: 2.25; 95% CI: 1.39, 3.65) among ever-exposed persons. Inverse associations were found between Wilms tumor and nickel among the ever exposed and highly exposed (ever: aOR: 0.75; 95% CI: 0.59, 0.96; high: aOR: 0.64; 95% CI: 0.45, 0.93). Findings suggest that air pollution from heavy metals released by industrial sources may elevate childhood cancer risk.

Process simulation and optimization of methanol production and utilization for electricity generation

The utilisation of liquid organic carriers for hydrogen storage has demonstrated to be a highly effective method for storing hydrogen under ambient temperature and pressure conditions. Methanol has a hydrogen (H2) content of 12.6% by weight and can be synthesised by the process of carbon dioxide (CO2) hydrogenation. The main goal of the study is to demonstrate methanol’s role as a hydrogen carrier and its application in a direct methanol fuel cell for energy generation. The suggested system synthesises methanol by utilizing green hydrogen with CO2 recovered from industrial sources. The Aspen Plus simulation of the DMFC showed a 58% methanol conversion and a 61% energy efficiency (Methanol-to-power).

Tracing fluorescent dissolved organic matter (fDOM) characteristics and water quality parameters: Insights from an urban industrial river to marine zone.

This study aims to identify continuous water quality changes and identify fluorescence properties from urban rivers to marine zones. Various types of natural and anthropogenic sources derived dissolved organic matter (DOM) have been identified in this study. These include soil-derived DOM, plant remnants, and soluble particles produced when organic material partially decomposes and is released by microorganisms, such as bacteria, algae, and plants. DOM was characterized using a three-dimensional excitation-emission matrix (3DEEM), parallel factor analysis (PARAFAC), and water quality parameters from the Buriganga River, Dhaka to Patenga Seaport, Chittagong, along with the Shitalakshya River, a small portion of the Padma River, and the Meghna River. To better understand the data analysis, the study area was divided into three central regions: urban industrial rivers, industrial estuarine rivers, and marine zones. In the urban industrial river, 3DEEM and PARAFAC identified five fluorophores (peaks: A, C, M, T, and Tuv) with five components: detergent-like, fulvic-like, tryptophan or protein-like, fulvic-like (C-type), and protein-like, which might originate from the industrial activities and sewage pollution. In the industrial estuarine river zone, three fluorophores have been identified (peaks: A, C, Tuv) with two known components, namely, fulvic acid (A-type) and fulvic acid (C-type), with an unknown photoproduct at Ex/Em = 295/368 (peak Tuv). Components in the industrial river zone may originate from terrestrial sources, indicating vegetation along the river. In the marine zone, four fluorophores have been identified (peaks: Tuv, A, T, C) with two components, that is, protein- or tryptophan-like and humic acid-like from coral origin. The intensities of both fulvic-like and protein-like substances were high in urban industrial river water owing to industrial activity and sewage pollution. SUVA254 suggests high aromaticity in all three regions, whereas the optical properties suggest that terrestrial and microbial components are present in the urban industrial and estuarine rivers. This further indicates that urban industrial river water quality is highly polluted. The lowest degradation potential index (DPI) in the marine zone might result from the presence of the highest number of dissolved solids in the water, and the highest DPI of industrial estuarine rivers explains the comparatively high presence of terrestrial-derived humic (A)- and humic (C)-like components in the ratio to the unknown photoproduct of mid-wavelength. PRACTITIONER POINTS: This study's uniqueness is a 220-km cruise from an urban river to a coastal seaport to analyze fluorescence properties. The study found that most water parameters were within the DoE standards, except for DO, which was consistently low. 3DEEM-PARAFAC identified five fluorophores linked to detergent, fulvic, and protein-like substances from sewage and industrial sources. Our study concludes that microbial and terrestrial sources dominate dissolved organic matter in urban, estuarine, and marine regions.

Environmental risk estimation of potentially toxic metal(loid)s (PTMs) in fine particulate dust on the surface of children's playgrounds in parks

To determine the priority control factors for risk control and management of potentially toxic metal(loid)s (PTMs) in fine particulate dust (FPD) on the surface of children's playgrounds in parks, a comprehensive study was conducted on the pollution, risks, and sources of 12 PTMs in the FPD, taking Xi’an, China as a case. The pollution, ecological and health risks of PTMs were assessed using Nemerow integrated enrichment factor, modified Nemerow integrated eco–risk index, and health risk evaluation model, combined with Monte Carlo simulation. The sources of PTMs in the FPD were quantitatively apportioned using a positive matrix factorization model. Priority control factors for PTMs risk control and management were determined based on the results of source–oriented pollution and risk assessment. The results showed that the average contents (mg kg–1) of Cd (1.9), Cr (99.8), Cu (96.3), Hg (0.2), Pb (61.1), and Zn (239.4) in the FPD were considerably greater than local background values. The sources of PTMs in the FPD are industrial emission, coal combustion and medical activities, mixed source, and natural source, contributing 24.7%, 18.2%, 35.1%, and 22.1% to the total content of PTMs in the FPD, respectively. PTMs in the FPD posed a certain cancer risk to the elderly and children. Industrial emissions and mixed sources are priority control sources, while Cd and Cr are priority PTMs. It is recommended that local eco–environmental departments strengthen environmental monitoring of playgrounds, as well as management of industrial and transportation emissions, to ensure the health of residents.

Towards accurate dose assessment for emergency industrial radiography source retrieval operations: A preliminary study of 4D Monte Carlo dose calculations

The exposure devices utilizing high-activity gamma radiation sources for industrial radiography frequently encounter issues such as stuck or disconnected sources, posing a substantial risk of radiation exposure to the workers executing emergency source retrieval operations, emphasizing the importance of accurate dose assessment. In the present study, the radiation dose to the main worker during the process of source retrieval was calculated and compared for five emergency source retrieval procedures to retrieve stuck or disconnected sources, using 4D Monte Carlo dose calculation and a mesh-type reference computational phantom. For a stuck source, the dose values of the two source retrieval procedures (i.e., repair and cut methods) were found to be relatively small, which indicates that the worker might select either method based on personal preference or situational convenience. Conversely, for a disconnected source, the dose values of the three source retrieval procedures (i.e., fishing, connect/push, and hot stick methods) were much larger and show significant differences. Notably, the fishing method was associated with the lowest dose, whereas the hot stick method resulted in significantly higher doses, differences being as large as ∼5 times. These results underscore the fishing method as a preferable option, particularly over the hot stick method.

Development of an integrated framework for dissecting source-oriented ecological and health risks of heavy metals in soils

Heavy metals (HMs) in soils pose significant risks on ecosystem and human health. To design targeted regulatory measures for mitigating and controlling the risk, it is necessary to accurately identify the pollution sources and environmental risks of soil HMs, as well as to reveal the linkages between them. To date, yet systematic investigation aimed at deciphering the links between source apportionment of soil HMs and their associated environmental risks is still lacking. To fill the gap, an integrated framework has been developed in this study and applied for dissecting the source-sink relationship and source-oriented ecological and health risks of soil HMs in Shanxi, a province with rich coal resource, in which long-term coal mining activities in history has resulted in soil HMs pollution and unavoidably posed environmental risks. Two advanced receptor models, multivariate curve resolution alternating least squares based on maximum likelihood principal component analysis (MCR-ALS/MLPCA) and multilinear engine 2 (ME2), have been employed for apportioning the potential sources, and their apportionment results are jointly incorporated into a modified ecological risk index and a probabilistic health risk assessment model for identifying the source-oriented ecological and health risks posed by soil metals. The results show that the soils in study area have been polluted by HMs (i.e., Cd, Cr, Hg and As) to varying degrees. Industrial activities (35%–35.8%), agricultural activities (11.1%–20.5%), atmospheric deposition (10.5%–13%) and mix source (31.5%–42.6%) are apportioned as the main contributors of soil HMs in the area. The source-oriented ecological risk assessment suggests Hg has presented significant ecological risk and largely contributed by the sources from atmospheric deposition and industrial activities. The source-oriented health risk assessment shows the non-carcinogenic hazard level and carcinogenic risk posed by soil HMs in the study area are acceptable. Relatively, industrial activities and mix source have contributed more on the health risks.

Identifying the social hotspots of German steelmaking and its value chain

Steel production is highly material and energy intensive. As the industry sources large amounts of raw materials globally, the need to assess the sustainability dimensions of the steelmaking process and its value chain is increasing. This paper sets out to investigate the social dimension, by identifying social hotspots tied to the value chain and production of primary steel in Germany. To achieve this, a literature review is conducted, and the Social Life Cycle Assessment (S-LCA) methodology is applied in the form of a social hotspot assessment for the production of 1 t of hot rolled steel coil. Import data for the German steel industry are combined with social data from the social hotspot database, to gain an comprehensive overview of social risks and hotspots tied to the value chain and production of steel. The literature review finds the application of S-LCA in the steel industry to be low overall, with great variety in impact subcategories and indicators assessed. The social hotspot assessment shows a high number of social risks tied to the value chain of the German steel industry. These relate primarily to worker health and safety, delocalization and migration, access to immaterial resources, forced labour, and social benefits/social security. In particular, the extractive industries of iron ore and coal are established as social hotspots. Based on the findings of the literature review and the social hotspot assessment, it is recommended that the following impact subcategories be considered in a full scale S-LCA study on steelmaking including the value chain: Worker health and safety, freedom of association and collective bargaining, delocalization and migration, and forced labour. Furthermore, it is recommended to prioritize the collection of primary data on 16 indicators, that are identified as high risk or very high risk across multiple assessed countries and sectors.

AI and Human Synergy: Utilizing AI to Enhance Teaching and Learning

Background and Aims: Studying AI-human synergy is critical for transforming education by combining AI's data-driven insights with the human touch of educators. This integration improves personalized learning and teaching by allowing educators to focus on developing critical thinking and creativity, resulting in increased student engagement and achievement. Thus, this paper aims to investigate utilizing AI to enhance teaching and learning. Methodology: The methodology for this review entails a systematic assessment of AI applications in education using a variety of academic and industry sources. Data is gathered using a structured search strategy and analyzed thematically to identify trends and evaluate the impact of AI technologies on teaching and learning. This approach ensures a thorough examination of AI-human synergy and serves as a foundation for future research. Results: The finding emphasizes the transformative power of AI-human collaboration in education. Integrating AI into traditional teaching methods improves educational effectiveness by providing real-time analytics and personalized feedback. AI-supported professional development provides teachers with tailored resources, and AI tools significantly increase student engagement through interactive learning experiences. However, challenges such as ethical issues, integration barriers, and equity concerns must be addressed before AI's full potential in education can be realized. Case studies showcase successful AI implementations and best practices while emerging trends and research gaps outline AI's future directions in education. Conclusion: The results show that AI-human collaboration has the potential to transform education by improving teaching methods and increasing student engagement. Addressing issues such as ethics and equity is critical to realizing AI's full potential and shaping the future of educational practices.

Protection of groundwater resources from multi-hazards: An integration of risk assessment and watershed management

The improving groundwater resource protection depends on aligning contamination risk mapping with aquifer protection measures. However, existing methods often fail to align with aquifer protection goals, hindering practical implementation. The study demonstrated integrating vulnerability assessment, hazard evaluation, and groundwater protection initiatives using an L-Matrix approach. Testing this model in a well-documented watershed with multiple hazards to illustrates its applicability, providing a reference for similar scenarios. The risk was assessed through evaluation of aquifer vulnerability, using the DRASTIC method, coupled with the evaluation of a hazard potential considering industrial, livestock/agriculture and urban infrastructure sources in separate. The L-Matrix diagrams consisted of cartesian representations of V versus H, ranging from 0 to 1, segmented into four quadrants bounded by the cut-off lines V = 0.5 and H = 0.5. The quadrants were then linked to aquifer protection measures, with site inspection (high V and H), groundwater monitoring (low V and high H), land use planning (high V and low H), and tolerable expansion of hazardous activities (low V and H). The Paraopeba River basin was used as test site. Mining areas are abundant in this basin and were allocated high values of H and low to high values of V, requesting implementation of groundwater monitoring and periodic inspection of mining sites, even more because groundwater contamination with iron could be clearly associated with the presence of mine-tailings. In the results, it was observed that the DRASTIC vulnerability map of the aquifers has a mean vulnerability around the central value (V = 0.48 ± 0.08). Regarding the distribution of hazards, the average rounds to the value for to (Hindustry = 0.41 ± 0.37, Hagriculture = 0.33 ± 0.09 and Hinfrastructure = 0.27 ± 0.14). Thus, it is noted that for industrial activities, the risk of contamination could be moderate to high, while for agricultural and livestock activities, the risk lies between low and moderate contamination impact.

Determining priority control factors for heavy metal management in urban road dust based on source-oriented probabilistic ecological-health risk assessment: A study in Xi'an during peak pollution season

Urban road dust (URD) is essential for transporting heavy metals (HMs), which can be a major danger to both the environment and human health. Moreover, URD has the potential to be carried into bodies of water, leading to contamination of the aquatic ecosystem. A study was conducted in Xi'an, a city in northwestern China known for high air pollution levels, during January 2024 - a period characterized by peak pollution due to frequent low wind speeds and temperature inversions. The research investigated the presence of 10 types of HMs (Cu, Zn, Cd, Cr, Pb, As, Ni, Hg, Co, and Mn) in URD. Findings revealed elevated levels of Cu, Zn, Cd, Cr, Pb, As, and Hg in URD compared to background levels. Hg showed the most significant contamination (moderate to heavy), followed by moderate contamination of Cd, and lower levels of As, Zn, and Cu. The main sources of HMs were traffic (58.2%), mixed natural and industrial (30.3%), and industrial (11.5%). The ecological risk in the area was deemed to be very high, primarily because of Hg and Cd. Based on probabilistic health risk assessments, it was determined that non-carcinogenic risks were deemed acceptable for all groups. Nevertheless, the possibility of carcinogenic risks should not be disregarded. Strategies for controlling ecological-health risks prioritize mixed natural and industrial sources, with a focus on Hg, Cd, and As in URD. The results offer a foundation for policymakers to create specific control strategies.

The role of TLR4 rs1927911 gene polymorphism and toll-like receptor expression in the formation of allergy and its features in children under conditions of destabilization of the environment

Introduction. Anthropogenic chemical environmental factors modify the immune response, participate in the formation of immunodeficiency in children, and contribute to the occurrence of pathological conditions associated with allergies and autoimmunity. Purpose of the study. To analyze changes in the immunological and genetic profile in the children population living in an industrial area and suffering from allergic diseases. Materials and methods. An immunological and genetic examination was carried out on one hundred forty six 7–9 years children, permanently residing in the zone affected by emissions of a large non-ferrous metallurgy enterprise. The number of subpopulations and populations of lymphocytes (CD25, CD284) was determined by the cytofluorometric method. The content of IgE specific to nickel and formaldehyde was studied using the allergosorbent method. TLR4 rs1927911 and GSTP1 rs1695 gene polymorphisms were determined by real-time PCR. Results. There was obtained data indicating an imbalance of CD284 cell differentiation clusters, general IgE by 1.8 times and tobacco-specific by more than 2 times, as well as IgE specific to nickel and formaldehyde by 1.7 and 1.8 times, respectively. In children with allergy pathology the frequency of the A allele of the TLR4 rs1927911 gene has been established to be significantly increased. Research limitations. Children living near large industrial sources for at least three years. Conclusion. Children with allergies living in the zone influenced by emissions from non-ferrous metallurgy enterprises have an increased expression of cell clusters and excessive sensitization to haptens. Allergic manifestations are associated with polymorphism of the detoxification gene GSTP1 and the congenital atopy gene TLR4.

Determination of contamination, source, and risk of potentially toxic metals in fine road dust in a karst region of Southwest China.

Understanding the pollution situation of potentially toxic metals (PTMs) in fine road dust (FRD) in emerging industrialized cities and identifying priority control factors is crucial for urban environmental management, resident health protection, and pollution control. This study conducted a comprehensive investigation on PTMs pollution in FRD in Zunyi, a representative emerging industrialized city in the karst region of southwestern China. The average contents of Ni, Cr, Mn, Cu, Zn, Ba, Pb, V, and Co in the FRD were 43.2, 127.0, 1232.1, 134.4, 506.6, 597.8, 76.1, 86.8, and 16.2mgkg-1, respectively, which were obviously higher than the corresponding background levels of the local soil except for V and Co. The comprehensive pollution level of the determined PTMs in the FRD was very high, primarily caused by Zn and Cu. The sources of PTMs in Zunyi FRD were traffic, industrial, construction, and natural sources, accounting for 38.0, 23.7, 21.9, and 16.4% of the total PTMs content, respectively. The PTMs in Zunyi FRD exhibited a low to moderate overall ecological risk level, mainly contributed by Cu and traffic source. The cancer risks of PTMs in Zunyi FRD were high for all populations. The non-carcinogenic risk of PTMs in Zunyi FRD was acceptable for adults, but cannot be ignored for children. According to the source-specific probabilistic health risk estimation results, the priority control source is industrial source and the priority control PTM is Cr. Local governments need to give more attention to the carcinogenic risks and health hazards posed by PTMs in the FRD.

Source Identification Using Principal Component Analysis and Health Risk Assessment of Heavy Metals Contamination in PM2.5 Near an Industrial Area in Thailand

AbstractIndustrialization has led to a surge in air pollution-related problems, as particulate matter (PM) containing heavy metals poses significant health risks. Understanding airborne particle chemistry, particularly the presence of heavy metals, is vital for effective air quality management and health interventions. This study analysed heavy metal levels in PM2.5 across various sites near an industrial zone in Thailand, including areas near main roads, the industrial zone, as well as indoor and outdoor areas of childcare centres. The concentrations of ambient PM2.5 were found to exceed national standards and acceptable limits during the cool dry season, particularly in the industrial zone (46.4 µg/m3), followed by areas near main roads (41.0 µg/m3) and childcare centres (31.6 µg/m3). The impact of the indoor–outdoor relationship on PM2.5 concentration within childcare centres varied. During the cool dry season, Aluminium had the highest concentration, while lead (Pb) across all sites raised environmental concerns. Remarkably, indoor childcare centres showed higher Pb levels than industrial zones and areas near the main road. Principal Component Analysis revealed the distinct factors linked to specific metals, implying contributions from industrial and transportation sources. Lead isotopic analysis indicated potential associations between lead sources and industries like smelting and refining. During the cool dry season, non-carcinogenic risks were concerning (HI > 1), especially near roads and industrial areas. Vulnerabilities were also observed in students and teachers within indoor childcare centres. This study underscores the importance of monitoring and reducing heavy metal pollution in PM2.5, especially in childcare centres near industrial zones, to preserve public health and regional air quality.

Subsidizing a sports arena in a bankrupt city: Detroit's Little Caesars Arena

AbstractObjectivesThe potential for ancillary real estate transformation and downtown revitalization has moved to the forefront of sports venue subsidy arguments. Despite the City of Detroit being in the largest municipal bankruptcy in U.S. history at the time, $324 million in public funding was directly provided to Little Caesars Arena, a new home for the Detroit Red Wings hockey team. Using the Detroit context, this article examines how a major arena subsidy deal arose in a severely financially distressed city.MethodsUsing a snowball technique, documents were collected from government, media, industry, community, legal, and academic sources to inform a retrospective, single case study. Over 300 documents covering a period from 1992 to 2021 were then reviewed for prospective relevance. A review of secondary media sources was conducted in lieu of traditional interviews.ResultsThe arena funding outcome is best explained by three interrelated aspects: local growth coalitions, real estate development promises, and lacking procedural and financial transparency exacerbated by both the chosen funding mechanism of tax increment financing (TIF) and the bankruptcy.ConclusionsWhere flexible financial subsidies and arena deal making are concerned, procedural transparency matters. Growth coalitions and rent‐seeking team owners can use the earmarked nature of TIF to circumvent traditional budgetary processes and mute prospective opposition through promises of self‐financing subsidies that will not result in new tax rate hikes. For venue deals where the substance is in the details of contractual obligations, transparency and adequate time for scrutiny are especially important.

Assessment of Air Pollution Levels from a Building Construction Site on Lagos Island

The introduction highlights the challenges of air pollution from construction activities on a site in Lagos Island, Nigeria, emphasizing the need for comprehensive studies to assess air pollution levels and evaluate its implications for public health and environmental quality. The methodology outlines the monthly data collection process, using the Earth Sense Zephyr (equipped with electrochemical detectors for gases) to measure CO, NO, NO₂, O₃, and Optical light scattering for particles) to measure PM₂.₅, and PM₁₀, and the ARA n-FRM Sampler for additional data collection on PM₂.₅, and PM₁₀. The study found that CO, NO, and NO₂ levels were influenced by construction activities, vehicle emissions and industrial sources, with notable peaks in CO and NO concentrations during specific months. Ozone levels remained consistently low, likely due to the "titration effect," while particulate matter (PM₂.₅ and PM₁₀) showed significant seasonal variation, peaking during the dry season due to construction dust and dry weather conditions. The findings underscore the need for stringent regulatory measures and effective dust control practices, particularly during periods of increased construction activity and dry weather, to mitigate air pollution and protect public health. In conclusion, the study provides valuable insights into the dynamics of air pollution from a typical construction site in Lagos Island, emphasizing the urgency of sustainable interventions to safeguard public health and environmental integrity. The study proposes enhanced monitoring and surveillance, stringent regulatory measures, promotion of sustainable construction practices, and public awareness and education, to address the challenges associated with construction-related air pollution on Lagos Island.

Delineation and validation of GIS-based groundwater potential zones under arid to semi-arid environment using multi-influence-factors approach

ABSTRACT Groundwater is an indispensable source for domestic-use, agriculture, industry and sustainable development. Groundwater scarcity is Pakistan’s emerging issue, especially in the arid and semi-arid regions of southern Khyber Pakhtunkhwa. This study intends to demarcate the groundwater potential zones (GWPZ) in these regions using Multi-Influence-Factors (MIF), validated with Vertical Electrical Sounding (VES) and well data. The study region was classified into four GWPZ: very high (340 km2), high (4997.11 km2), moderate (17615.14 km2) and poor (16355.46 km2). These interpretations were supported by the VES survey, and water bearing layers have been recognized at 32 m, 137 m, 87 m, 10 m at VES points 1, 2, 3, and 4, respectively in Karak, and at 152 m, 194 m, and 93 m at VES points 1, 2, and 3, respectively in Lakki Marwat, while at 125 m, 119 m and 80 m at VES points 1, 2 and 3, respectively in D. I. Khan. The southern region is predominantly poor, the northern and northeastern parts are high to very high, while the southwest part has moderate potential. Water depth is <40 m at very high potential, 40 to 70 meters at high potential, and 150 to 180 meters in poor zones. This study will help to enhance the applicability of integrated methodologies for groundwater investigations under arid conditions.