Industrial Activities Research Articles

Multivariate Analysis of Water Quality in the Seybouse River: Implications for Pollution Management

ABSTRACTHeavy metal contamination in water bodies is a pervasive and persistent environmental challenge in many parts of the world, especially in developing countries. This study investigates the use of multivariate analysis methods for monitoring variations in water quality along a spatial gradient and for the interpretation of pollution levels at different sampling sites. We assessed the water quality of the Seybouse River and identified possible sources of pollution using three complementary multivariate analysis techniques (PCA, NMDS, and K‐means clustering). The results indicate a longitudinal gradient in water quality associated with industrial and agricultural activities in the middle and lower Seybouse River. Physico‐chemical and heavy metal analyses show high water turbidity with elevated concentrations of iron and chromium. We show that the contamination stems from four different sources, which can be categorized into different pollution levels. Our results suggest that complementary multivariate methods are a robust approach to identifying and categorizing significant sources of pollution in rivers, enabling the development of future successful water quality management strategies based on water pollution levels. This study highlights the importance of monitoring water quality and taking effective measures to control and mitigate pollution from various sources to ensure the safety of the environment and human health.

AIR QUALITY IN YEREVAN IN THE CONTEXT OF CLIMATE CHANGE

Over the past five years, the atmospheric air quality in Yerevan has continued to deteriorate, primarily attributed to a significant increase in airborne dust, particularly during the hot summer months that coincide with the peak tourist season. This phenomenon reflects a complex interplay among atmospheric emissions, air quality, emission source altitudes, changes in chemical composition, solar radiation, weather patterns, and topographic conditions. Sources of dust pollution in Yerevan include industrial activities, vehicular emissions, road dust, and construction activities. Data from various administrative districts indicate that, over the past five years, concentrations of dust, nitrogen dioxide, and sulfur dioxide frequently exceed established standards. Additionally, there are unregulated static sources of dust pollution within the city. This study conducts a comparative analysis of the primary pollutants in the context of climate change and urbanization in Yerevan over the last five years. It also assesses green areas and evaluates the effectiveness of greening initiatives, while considering compliance with national legislation in the Republic of Armenia.

Influence of climate change on water quality in Terra Nova River basin, Pernambuco, Brazil

Climate changes tend to intensify water scarcity in arid and semi-arid regions, making water management in these areas more challenging, directly influencing hydrological dynamics, causing impacts on ecosystems and society. The Terra Nova River basin is crucial for the water security of the semi-arid region of Pernambuco, especially after the construction of the São Francisco River Integration Project (PISF), which saw the construction of six reservoirs to supply water for human consumption, agricultural, and industrial activities. Therefore, this study aims to analyzes the impacts of climate changes on water quality in the Terra Nova River basin in Pernambuco, using long-term data from the Hydrological Response Unit System for Pernambuco (SUPer). The ARIMA (Autoregressive Integrated Moving Averages) model is employed to predict water quality parameters in climate change scenarios, using data from the Intergovernmental Panel on Climate Change (IPCC) and the Oswaldo Cruz Foundation (Fiocruz). The variables include air temperature, precipitation, dissolved oxygen, nitrogen, and phosphorus. Simulated scenarios were compared with CONAMA No. 357/2005 limits, revealing potential decreases in dissolved oxygen and phosphorus concentrations, alongside an increase in nitrogen concentrations. Irregular rainfall rates, high air temperatures, and evapotranspiration, combined with conflicts by water resources, may exacerbate water access issues in the semi-arid region, worsening the water crisis and threatening water security.

Enhancing Organizational Efficiency of the Lantern Festival in Penghu, Taiwan Through Information Technology: Key Factors Analysis

The Lantern Festival in Penghu, Taiwan, has become one of the region's most important cultural events, attracting numerous tourists and garnering extensive media coverage. This festival combines local traditions and religious beliefs, serving as not only a symbol of the holiday but also a key attraction for Penghu's tourism. However, despite the festival's long history, the growth in visitor numbers has been relatively limited. To enhance the event's impact effectively, organizers face several challenges, including resource allocation, event content design, and promotional strategies. This study systematically analyzes and evaluates the key success factors of the Lantern Festival using the Analytic Hierarchy Process (AHP) method and establishes a related framework. The results reveal three major dimensions: A. Event Planning and Resource Support, B. Event Execution and Promotional Communication, and C. Cultural Heritage and Industrial Activities. These three dimensions encompass a total of twelve specific indicators, such as the design of the event theme, government funding and policy support, marketing and promotion, local community involvement, and cultural innovation and preservation. Through an analysis of the Penghu Lantern Festival, this study identifies the core factors contributing to the event's success and how they are integrated with local culture and tourism development. These findings provide a valuable reference for other regions planning similar festivals, helping improve the quality and appeal of events and laying the foundation for long-term development. Additionally, the study offers festival planners a practical action framework to review key factors during the preparation phase, ensuring smooth execution and meeting the expectations of all stakeholders.

Macroeconomic Forces Affecting Islamic Performance Indices

This study aims to investigate the macroeconomic factors that impact the performance of Malaysia's Islamic stock market. This study looks at six independent variables that affect the performance of the Islamic stock market in Malaysia: the world oil price, inflation rate, Islamic interbank rate, money supply (M2), industrial activity index, inflation rate, Islamic interbank rate, exchange rate, and world oil price. The Department of Statistics Malaysia (DOSM), Bursa Malaysia, Bank Negara Malaysia, and Eikon Thomson Reuters were among the secondary data sources used in this study's quantitative data gathering methodology. The research was carried out over four years (2019–2023) using monthly data. A theoretical model was created to investigate the suggested relationship after it was analyzed using the E-views software. The success of the Islamic stock market was found to be significantly correlated with the inflation rate, money supply, Islamic interbank rate, and exchange rate. These determinants are exerting a direct influence on the Islamic stock market in Malaysia, particularly in its macroeconomic aspects. The present study aims to enhance comprehension regarding the possible effects of different elements on how well the Islamic stock market performs. Different results could come from more research into the various elements affecting the Islamic stock market's performance.

Analysis of the Characteristics Aquatic Ecosystem Poso Energy Hydropower Plant in Lake Poso Central Sulawesi

It is feared that the use of the Poso Energy Hydroelectric Power Plant (PLTA) and various industrial, agricultural, and domestic waste disposal activities can reduce the quality of Poso Lake waters. Until now, studies on the impact of PLTA on waters quality have never been carried out. This study aims to analyze the characteristics of the ecosystem quality of Lake Poso waters based on phisical, chemical, and biological parameters. The research was conducted using the sampling method at 6 location points in the area before the PLTA, around the PLTA, and after the PLTA from July to September 2022. Data were analyzed statistically with ANOVA. The results showed that phisical parameters (TSS, odor, colour, turbidity), chemical (pH, DO, BOD, COD, NO3-N, total phosphate), and biological (fecal coliform, plankton diversity) showed significantly different values in the area before PLTA, around PLTA, and after the PLTA. The existence of PLTA is concluded to have an impact on changes the waters quality. A management strategy that accomodates more environmental factors is needed to ensure the sustainability of Lake Poso aquatic resources.

Long-term pollution status of microplastics in sediment of a typical mariculture area

Microplastics (MPs) are pervasive in various environmental media, posing a significant global issue. However, long-term data on marine MPs pollution trends are limited. This study investigates sediment samples from six stations in Sishili Bay, Yellow Sea, collected in 2015, 2018, and 2021, an area impacted by industrial, maricultural, and tourism activities. Findings reveal an annual increase in MPs abundance, with mean concentrations of 92.60 ± 23.93 items/kg.dw in 2015, 146.18 ± 14.80 items/kg.dw in 2018, and 203.21 ± 20.31 items/kg.dw in 2021. MPs distribution is spatially uniform, showing no significant seasonal changes, attributed to the bay's semi-enclosed nature. Predominant MPs are fibers (>70 %) and transparent particles (>35 %), with most particles <1000 μm. PET and Rayon are the main polymers identified. The study emphasizes the escalating MPs pollution in the mariculture area, highlighting the urgent need for targeted pollution control and mitigation strategies.

Frozen no more, a case study of Arctic permafrost impacts of oil and gas withdrawal

Approximately 8100 km2 of Alaska are leased to the oil and gas industry for exploration and extraction. According to industry estimates, subsurface expansion from these leases could cover up to 130.2 km2 per pad. As industrial oil extraction activities increase across the thawing Alaskan permafrost, impacts on the permafrost environment will include rapid thaw, increased hydrological flux, and the release of climate warming greenhouse gases. Here, we use remote sensing and field observations to provide a first-order comparison of the direct impacts to the permafrost tundra from oil well pads, and the long-term consequences of a legacy oil pads on the warming North Slope of Alaska. We find that oil well pads on the permafrost accelerate permafrost degradation and persist despite remediation.

Ganga, GAP, and lockdown: potential threats to the biodiversity of the river

ABSTRACT The Ganges River holds a vital status within India as a cornerstone of the nation's ecological and socio-economic fabric. Flowing through diverse terrains like the Himalayas, Gangetic plains, and coastal regions, it fosters an incredibly rich biodiversity, supporting a myriad of life forms ranging from microorganisms to mammals. Beyond its ecological significance, the river sustains the livelihoods of millions, contributing significantly to the economy of northern India. However, rampant human development over recent decades has posed grave threats to its well-being. Pollution from sewage and industrial waste has tainted its waters with heavy metals, posing risks of bioaccumulation and magnification within aquatic life. Infrastructure projects like dams and bridges disrupt natural habitats and impede the migration of aquatic species, further jeopardising the river's ecological balance. Despite these challenges, there have been glimmers of hope, particularly noted during the COVID-19 lockdown when industrial activities ceased, offering the river a temporary reprieve. Moving forward, effective measures are imperative, including reducing industrial and domestic effluent discharge, scrutinising sources of heavy metal contamination, and prioritising the restoration of the river's natural flow. Preserving the Ganges’ ecological integrity is paramount, necessitating concerted efforts to ensure its health and vitality for future generations.

Negotiating the legitimacy of conservation at mining frontiers: Evidence from Madagascar and the DR Congo

Political ecologists are increasingly interested in the dynamics of power and authority where mining and conservation converge. We contribute to this emerging literature by applying an 'actor-oriented' approach to explore the creation of protected areas in African mining frontiers. Concretely, we look at how 'multiple-use' protected areas have been layered on top of mining frontiers in eastern DRC and northern Madagascar. Both of these mining frontiers include artisanal, semi-industrial, and industrial mining activities and permits. In the DRC case, various state and non-state armed actors are also implicated in mining. Our results show that the legitimacy of conservation at mining frontiers evolves as a process involving indiscrete phases of negotiation, coercion, resistance and cooperation. When authorities and alliances supporting mining interests preclude coercive conservation strategies, conservation authorities need to negotiate their way through different phases of resistance and cooperation. We find that in both cases, local actors living at the extraction and conservation nexus assert their agency and 'forum shop', by switching their allegiances between conservation and mining actors.

Adapting to climate change: lessons from Chile’s coastal communities

Purpose This study aims to examine the intricate relationship between Chile’s coastal communities and the increasing effects of climate change, with a focus on Caleta Lenga as a case study. Chile’s extensive coastline is closely linked to the country’s economic well-being and the livelihoods of millions of people. The mounting threats posed by climate change require immediate action. To strengthen resilience and reduce risk, adaptive measures are imperative. However, effective adaptation is hindered by numerous barriers, including adaptive capacity and governance challenges. Design/methodology/approach This study uses a case study approach, which centres on Caleta Lenga’s unique socio-environmental and demographic context. This study used semi-structured interviews and historical reconstruction to reveal a socio-economic and environmental narrative that was influenced by significant events and transitions. Findings The residents’ perception of climate change impacts was viewed through the lens of industrial activities and changing weather patterns. This study emphasizes the community’s resilience in the face of changing socio-environmental dynamics. It highlights the importance of informed decision-making, community cooperation and the preservation of ancestral knowledge in promoting adaptive strategies based on community solidarity and collective decision-making. The findings underscore the need for effective adaptation measures that address both adaptive capacity and governance challenges to bolster climate resilience in vulnerable coastal communities. Originality/value The findings underscore the need for effective adaptation measures that address both adaptive capacity and governance challenges to bolster climate resilience in vulnerable coastal communities.

The Impact of Heavy Metal Accumulation on Agricultural Soils and Its Mitigation

Heavy metal contamination in various fields such as agricultural soils create severe global challenges affecting crop health, productivity, and overall ecosystem stability. This review investigates the source effects of heavy metals, which initially accumulate due to industrial activities and chemicals used during farming. The excessive presence of these metals can disrupt normal plant metabolism and reduce their growth. Furthermore, these metals can penetrate the food chain, posing serious health risks to humans and animals. Recent advancements in mitigating heavy metal pollution have been found, such as phytoremediation and biotechnological innovations offering promising solutions. Also, sustainable approaches utilizing microbial enzymes, microalgae, and bio-char-based technologies have shown high efficiency in removing heavy metals from contaminated environments. Further biosensors for detecting metal contamination provide sensitive, portable, and cost-effective alternatives. Overall, this review emphasizes the urgent need for awareness and continued research.

Air quality improvement at urban bus stops: Optimal air purification placement using CFD

Nitrogen dioxide (NO2) levels are often elevated near roadways due to vehicle emissions, while sulfur dioxide (SO2) is predominantly found near petrochemical complexes as a result of industrial activities such as oil refining and chemical manufacturing. Considering the detrimental effects of these emissions on the environment and human health, the optimal placement of air purification systems at two bus stops in Ulsan, a heavily industrialized city in South Korea, was investigated in this study to reduce NO2 and SO2 concentrations. Computational fluid dynamics (CFD) simulations were performed to identify strategic installation locations, resulting in a significant reduction in pollutant levels. The largest impact was noted for the Deokha Market bus stop, whereby the added health risk (AR) decreased by 1.93 % and the exposure reduction effectiveness (ERE), a measure of air purification system efficiency, increased by 13.8 %. Similarly, at the Hyomun Intersection bus stop, placing the system near the sidewalk led to a significant reduction in AR by 1.60 % and an increase in ERE by 11.63 %. Additionally, air purification systems at Ulsan bus stops are expected to reduce NO2 levels by 9.1 ppb, decreasing mortality risk by 1.44 %, saving 7 lives annually, and yielding an economic benefit of 33.06 million USD.

Assessing the Impacts of Nature-Based Solutions on Ecosystem Services: A Water-Energy-Food-Ecosystems Nexus Approach in the Nima River Sub-Basin (Colombia)

Forest ecosystem services are critical for maintaining ecological balance and supporting human well-being from different perspectives. However, rapid land use changes driven by agricultural expansion, urbanization, and industrial activities have significantly altered forest ecosystems, degrading the services they provide. We here conduct an ecosystem service assessment through biophysical and economic estimates for a multipurpose Andean water sub-basin in western Colombia. We compare a business as usual (BAU) with a forest nature-based solution (NbS) scenario focused on forest landscape restoration. The research employed participatory methods for the NbS selection and economic valuation techniques to evaluate water flow regulation, water provisioning, water purification, and food provisioning services. Results show that the NbS scenario yielded a net positive economic impact across most evaluated ecosystem services, with notable trade-offs. Specifically, the NbS scenario increased water retention by 2.9% compared to BAU. Water flow regulation demonstrated the most substantial economic benefit, increasing by EUR 11.39 million/year in the NbS scenario. On the other hand, the food provisioning service presented a reduction of EUR 3.2 million/year in the NbS scenario. These findings highlight the potential of forest-based NbS to address the Water–Energy–Food–Ecosystem (WEFE) nexus challenges. The study’s outcomes provide valuable insights for policymakers and practitioners, supporting the development of Payment for Ecosystem Services schemes and integrating ecosystem service valuation into land use planning and decision-making processes.

Preparation, characterization and application of polymeric ultra-permeable biodegradable ferromagnetic nanocomposite adsorbent for removal of Cr(VI) from synthetic wastewater: kinetics, isotherms and thermodynamics

Hexavalent chromium (Cr(VI)) contamination in drinking water due to industrial activities is a growing worldwide concern. Cr(VI) concentrations exceeding a few parts per billion (ppb) can cause serious health problems such as asthma, blood cancer, kidney-related diseases, liver and spleen damage, as well as neurological system, immunological deficiencies, and reproductive issues. This study, thus, explored the feasibility of employing a novel polymeric ferromagnetic nanocomposite adsorbent made of low-cost, biodegradable, and ultra-permeable materials from pulp and paper sludge for adsorptive removal of hexavalent chromium (Cr6+) from synthetic wastewater. Vibrating-sample magnetometer (VSM), X-ray diffraction (XRD), scanning electron microscopy (SEM), Brunauer-Emmet-Teller surface area (BET), and Fourier transform infrared (FTIR) were used to analyze the produced nanocomposite adsorbent. The Fourier transform infrared results confirmed the presence of adsorptive peaks attributed to −OH, −NH2, and FeO. Scanning electron microscopy micrographs revealed a porous adsorbent surface. XRD revealed the existence of the crystalline spinel-structured magnetite (Fe3O4) phase of iron oxide, while the saturation magnetization was established to be 26.90 emu/g. The Brunauer–Emmett–Teller analysis confirmed a slight decrease in the surface area of the nanocomposite adsorbent to 6.693 m2.g−1, compared to Fe3O4 (7.591 m2.g−1). The optimum conditions for Cr6+ removal were pH 2.0, 1.0 g/L adsorbent dose, room temperature (25°C), 120 min contact time, and 20 mg/L pollutant concentration. During removal, the Cr(VI) was adsorbed by electrostatic attraction and/or reduced to trivalent chromium Cr(III). At low starting Cr(VI) concentrations, chemisorption dominated the removal process, but as concentrations increased, physisorption became more significant. The prepared nanocomposite adsorbent presented exceptional removal efficiency of up to 92.23%, indicating that it may be useful for the adsorption of metal ions from industrial and household wastewater.

Chemoresistive Gas Sensors Based on Electrospun 1D Nanostructures: Synergizing Morphology and Performance Optimization.

Gas sensors are essential for safety and quality of life, with broad applications in industry, healthcare, and environmental monitoring. As urbanization and industrial activities intensify, the need for advanced air quality monitoring becomes critical, driving the demand for more sensitive, selective, and reliable sensors. Recent advances in nanotechnology, particularly 1D nanostructures like nanofibers and nanowires, have garnered significant interest due to their high surface area and improved charge transfer properties. Electrospinning stands out as a promising technique for fabricating these nanomaterials, enabling precise control over their morphology and leading to sensors with exceptional attributes, including high sensitivity, rapid response, and excellent stability in harsh conditions. This review examines the current research on chemoresistive gas sensors based on 1D nanostructures produced by electrospinning. It focuses on how the morphology and composition of these nanomaterials influence key sensor characteristics-sensitivity, selectivity, and stability. The review highlights recent advancements in sensors incorporating metal oxides, carbon nanomaterials, and conducting polymers, along with their modifications to enhance performance. It also explores the use of fiber-based composite materials for detecting oxidizing, reducing, and volatile organic compounds. These composites leverage the properties of various materials to achieve high sensitivity and selectivity, allowing for the detection of a wide range of gases in diverse conditions. The review further addresses challenges in scaling up production and suggests future research directions to overcome technological limitations and improve sensor performance for both industrial and domestic air quality monitoring applications.

Perceptions of Educators on Simultaneous Implementation of Education 5.0 and Modularisation in Higher Education Sector

The government of Zimbabwe initiated a radical higher education reform programme in 2019, culminating in the simultaneous implementation of Education 5.0 and modularization. This mixed methods study employed concurrent triangulation research design to examine the compatibility of these reforms at Chinhoyi University of Technology by surveying 32 educators from various schools. The majority of educators believed that modularization enabled students to focus on one module at a time, master the content, and utilize limited resources more effectively. Modularization also afforded educators more time for research and non-teaching activities, flexibility in teaching methods, and enhanced student-educator interaction. However, educators disagreed that modularization aligned with Education 5.0, citing concerns that it placed students in a continuous examination mode and failed to facilitate connections between module content to address societal challenges. The study concludes by recommending the realignment of teaching and learning timetables to facilitate content connections, free time for educators, and student participation in innovation and industrialization activities, thereby optimizing the simultaneous implementation of Education 5.0 and modularization.

Non-Conventional Data for Farming-Related Air Pollution: Contributions to Modelling and Risk Assessment in the Lombardy Region, Italy

Air pollution is one of the most critical global health concerns today. While emissions from industrial activities and combustion processes are the primary threats to air quality, intensive farming activities also contribute significantly, especially through ammonia emissions that promote the formation of secondary pollutants, such as particulate matter. Advancements in air quality research have been achieved by enhancements in emissions characterisation, modelling techniques, and sensor technology, expanding the availability of air pollution data beyond traditional ground sensor observations, which are often lacking in rural agricultural areas. Accordingly, this paper demonstrates the advantages of integrating traditional and non-conventional data to investigate farming-related air pollution through a case study in the Lombardy Region, Northern Italy. The study incorporates an array of data sources, including ground sensors and atmospheric composition model estimates. The concurrent utilisation of these diverse datasets is explored through machine learning modelling, focusing on assessing the influence of agricultural activities on particulate matter distribution patterns. Finally, the reliability of non-conventional air pollution data for health risk assessment applications is also investigated. The paper critically discusses the main findings based on empirical results, highlighting the significance of integrating multiple data sources to complement traditional air quality monitoring while outlining the main limitations in terms of the accuracy and usability of such non-conventional data.

Mobility of trace elements in a coastal contaminated site under groundwater salinization dynamics

Water pollution is a significant issue resulting from past long-term actions. The remediation projects carried out under law constraints for industrial plants, which have been the major contributors to environmental and water pollution, are currently providing a significant amount of data about contaminated soil, surface waters, and groundwater. Most of such plants worldwide are in coastal zones. Based on a significant amount of chemical and environmental data for a coastal contaminated site subject to variable groundwater salinization, this study aimed to understand the mobility of some trace elements because of coastal zone dynamics. Data concerned 688 groundwater samples, including As, Hg, Cd, Crtot, Cu, Ni, Pb, V, Se, Zn, pH, electrical conductivity, chlorides, total organic carbon and organic contaminants as quantitative variables, enhanced by additional qualitative variables such as groundwater salinity, season, water level, precipitation, and industrial activity type to make the dataset as representative as possible of the site under investigation. The study used robust multivariate statistical analyses to analyse the complex dataset and explain the relevant factors influencing contaminant behaviour under different environmental conditions. The Multivariate Statistical Analysis distinguished three clusters of trace elements with diverse reactivity to changes in groundwater salinization. The first includes Se, Cu, Crtot, V, and Ni, showing the highest correlation with electrical conductivity and chlorides because of their high affinity to form chloride or organic chloride complexes and for ion competition. Zn and Pb cluster in the second group: they are less reactive to groundwater salinization and more influenced by cation and anion competition and organic matter. The mobility of Hg and As (third cluster) significantly correlates with Fe and Mn, underlining the dominant role of reductive dissolution of trace elements-bearing minerals (Fe/Mn/Al-oxy-hydroxides) and metal-organic complexes. The correlation between the clustering of variables in groundwater and soils shows the influence of sediment structure, mineral composition, and physical and chemical soil conditions on the distribution in soils of trace elements and their transport to groundwater. The study proposes a valuable approach for assessing the effects of salinization in contaminated coastal aquifers. It supports planning multi-purpose characterization and monitoring campaigns of contaminated coastal sites and provides guidance on the correct associated remediation projects.

A National-Scale Study of Polycyclic Aromatic Hydrocarbons in Surface Water: Levels, Sources, and Carcinogenic Risk

Elucidating pollution characteristics of polycyclic aromatic hydrocarbons (PAHs) in water and assessing the associated carcinogenic risks is crucial for improving public health. PAHs in the surface water of seven main river basins across China, compiled from 95 studies from 2004 to 2022, were used to investigate geographic variations of occurrence, source, and carcinogenic risk. Total PAH concentrations exhibited substantial geographic distributions ranging from 300 to 7552 ng·L−1. Low molecular weight PAHs predominated, showing three-ring PAHs abundant in the north, while two-ring PAHs dominated in the south due to distinctions regarding energy consumption. The northern basins exhibited higher concentrations of PAHs than the southern owing to the synergistic impacts of low temperature, increased energy consumption, and higher industrial activities. Coal combustion and industrial emissions were the primary contributors in the northern basins, accounting for 23–44% and 20–38%, respectively, which were associated with pollutants released from heavy industries and space heating during cold periods. In contrast, vehicle exhaust emissions and petroleum leakage from river transport constituted the principal sources in the relatively economically developed southern basins, accounting for 24–35% and 31–57%, respectively. A lifetime carcinogenic risk model revealed that the highest health risks existed in adults, followed by adolescents and children. Toxic concentrations of BaP and the daily intake of water directly enhanced the PAHs’ carcinogenic risks, while body weight featured negative correlations with the risks.