Conventional Management Practices Research Articles

Mapping the Sustainability of Waste-to-Energy Processes for Food Loss and Waste in Mexico—Part 2: Environmental and Economic Analysis

Mexico generated 8.9 million tons of food loss and waste (FLW) in the year 2022, which was primarily managed through linear economy schemes where final disposal sites are predominant, leading to significant contributions to climate change and economic losses. This study, as a continuation of a prior work (Part 1), aims to evaluate the economic and environmental feasibility of implementing waste-to-energy anaerobic digestion (WtE-AD) plants for FLW management across Mexico, identifying the key factors that influence the competitiveness of these systems compared to conventional waste management practices. Using the outcomes of an energy feasibility analysis (Part 1), alongside life cycle assessment (LCA), geographic information systems, and cost engineering, this research analyzes the eco-efficiency and viability of WtE-AD for FLW valorization throughout the Mexican territory. The results indicate that, with a conventional waste management fee of USD 35.4 t−1, only the largest WtE-AD plant in the State of Mexico (treatment capacity of 2536.8 t FLW d−1) achieved a positive net present value (NPV) of USD 70.1 million, while all the other plants remained economically unviable. Conversely, under an optimistic scenario with a fee of USD 139 t−1, plants processing over 50 t FLW d−1 achieved profitability, with the largest plant reaching an NPV of USD 1.15 billion. The environmental assessment showed that larger plants effectively act as carbon sinks, with the largest plant reducing emissions by up to −89.8 kg CO2 eq t−1 of FLW. These findings emphasize the need for appropriate waste management fees and governmental incentives to ensure the economic viability of WtE-AD plants. This study provides valuable insights for policymakers, highlighting the potential of WtE-AD technologies to contribute to Mexico’s energy transition and the shift toward a circular economy.

An IoT Healthcare System With Deep Learning Functionality for Patient Monitoring

ABSTRACTCurrently, healthcare systems operate under conventional management practices and entail storing and processing substantial medical data. Integrating the Internet of Things (IoT) and wireless sensor networks (WSNs) technologies has facilitated the development of IoT‐enabled healthcare, which possesses advanced data processing capabilities and extensive data storage. This paper proposes a WSN and IoT framework for patient monitoring in high‐speed 5G communications. Based on an artificial neural network (ANN), an intelligent health monitoring system was developed using IoT technology to monitor a person's blood pressure, heart rate, oxygen level, and temperature. Furthermore, the system helps the elderly being in critical cases in their homes to communicate and update their medical condition with the hospital, especially in critical cases, to be treated as soon as possible, especially in remote areas. The experimental results showed the superiority and effectiveness of the proposed system. Moreover, relying on ANNs to extract the basic features, the accuracy reached 96%. The proposed system was implemented practically, and the results were displayed in real time and compared with commercial medical devices. Maximum relative errors are heart rate (2.19), body temperature (2.94), systolic blood pressure (3.4), diastolic blood pressure (2.89), and SpO2 (1.05). On the other hand, the proposed system is much faster than other wireless communication methods, regardless of the detection quality.

Anaerobic digestion of dairy cow and goat manure: Comparative assessment of biodegradability and greenhouse gas mitigation

This study evaluated the anaerobic digestion (AD) of dairy cow and goat manure from dairy farming operations. The physicochemical characteristics, biodegradability and greenhouse gas emissions (GHG) reduction potential were assessed. Dairy goat manure exhibited higher volatile solids (16 % vs. 10 %) and 34 % greater chemical oxygen demand content (COD) compared to cow manure, indicating better suitability for AD. However, biochemical methane potential tests revealed higher methane yields from cow manure (81 % biodegradability) compared to goat manure (26 % biodegradability), attributed to slower hydrolysis rates and recalcitrant composition of goat manure. Both manures displayed suboptimal carbon-to-nitrogen ratios (<20:1) and excessive levels of mineral nutrients such as calcium. The ammonia–nitrogen and volatile fatty acid levels remained below threshold limits throughout the anaerobic digestion process, indicating no significant accumulation or inhibition. Recovering biogas through AD showed potential GHG reductions of 64 % (2.21 t CO2-eq/cow·year) and 69 % (0.27 t CO2-eq/goat·year) compared to conventional manure management practices. While pretreatment and co-digestion could enhance biogas production, further research is needed to optimise these strategies for efficient resource recovery and environmental sustainability in dairy farming operations.Abbreviations: AD, anaerobic digestion; AWMS, animal waste management systems; BMP, biochemical methane potential; CHNS, carbon, hydrogen, nitrogen, and sulphur; C/N, carbon-to-nitrogen, COD, chemical oxygen demand; GC-FID, gas chromatography-flame ionisation detection; GHG, greenhouse gas; GWPM, global warming potential of methane; He, helium; ICP-MS, inductively coupled plasma mass spectrometry; I/S, inoculum-to-substrate ratio; IPCC, International Panel on Climate Change; NH3-N, ammonia–nitrogen; SD, standard deviation; TBMP, theoretical biochemical methane potential; TN, total nitrogen; TS, total solids; VFAs, volatile fatty acids; VS, volatile solids.

LCA analysis on the management of typical lignocellulosic agricultural wastes: Case studies and comparison in Greece and China

Significant quantities of lignocellulosic agricultural residues are produced worldwide, and their management is quite problematic. In Greece and in general in the Mediterranean, large quantities of prunings are produced, especially from olive trees. The common practice of managing these residues is by burning them in the fields. On the other hand, in China, but also globally, huge amounts of residues are produced from cotton cultivation and efforts are being made to avoid the residues' usual burning in the fields. Beyond the development and refinement of energy and material utilization technologies for this waste, as well as the necessary economic analyses, very important for the scientific community is the study of the environmental impacts concerning the conventional management practices versus alternative ones that involve the wastes’ utilization.In this work and through the analysis of case studies in Greece and China for the management of the aforementioned typical lignocellulosic agricultural residues, comparative life cycle assessments of open-field burning practices versus energy production practices through gasification or pyrolysis are attempted. The results proved to be interesting and both cases agree with each other qualitatively despite the use of different tools and the application in different countries and agricultural residues. The comparative results highlight the need for immediate adoption of sustainable practices against the highly damaging conventional ones.

Development of immersive bridge digital twin platform to facilitate bridge damage assessment and asset model updates

Conventional infrastructure asset management practices have heavily relied on static data collection and suffered from decision lags. Though advanced Structural Health Monitoring (SHM) systems were extensively explored based on multi-functional sensor deployment, asset model updating has not been achieved to facilitate timely and effective decision-making of infrastructure managers due to a lack of system integration. To address this challenge, this study develops the Immersive Bridge Digital Twin Platform (IBDTP) to allow infrastructure managers to automate the SHM processes of bridges and engage them in immersive decision-making processes based on Scan-to-BIM and Augmented Reality (AR) technologies. A novel 3D game engine is proposed as part of IBDTP and was tested using a single-span concrete arch bridge located in Poland. Results show that the measurement data collected and presented in IBDTP improves the infrastructure managers' accessibility to major damage data of the bridge to plan for future interventions. The functions of the IBDTP can be potentially scaled for different types of bridges and critical infrastructure, substantially improving the traditional SHM in terms of data management and 3D structural visualization.

Pyrolytic conversion of nylon-6 and red mud into N-doped carbon composite and its application into azo-dye degradation

The continuous growth of the global population and industries has led to the mass generation of plastic and industrial waste, posing significant environmental challenges due to their incompatibility with conventional waste management practices. This study investigates the thermochemical conversion of plastic (nylon-6) and industrial waste (red mud) into value-added products, presenting a waste-to-resource conversion strategy. Nylon-6 and red mud were co-pyrolyzed, resulting in a metal-carbon composite characterized as porous N-doped graphitic carbon with embedded Fe0 particles. Application of the composite to an amaranth solution demonstrated its ability to activate persulfate, facilitating amaranth oxidation at a rate (kobs = 1.78 min−1) significantly higher than other Fe-based catalysts. Quenching experiments verified the generation of OH· and SO4·- radicals during activation, with the latter playing a dominant role in amaranth degradation. The composite exhibited robust reusability, maintaining an amaranth removal efficiency of >80 % after five reaction cycles. Additionally, red mud significantly enhanced syngas (H2 and CO) generation from nylon-6, suggesting a catalytic effect. In conclusion, the proposed thermochemical approach offers a viable method for converting waste materials into valuable products, including environmental catalysts and gas fuels.

Blockchain Revolution in Asset Management: A Comprehensive Analysis and Implementation Framework

A project that presents the harnesses blockchain technology to develop a Token Asset Management System (TAMS) aimed at revolutionizing conventional asset management practices. TAMS leverages the decentralized and transparent nature of blockchain to create digital tokens representing ownership or rights to various assets. These tokens enable fractional ownership, streamlined trading, and automated execution of smart contracts for dividends and voting. The project's primary objectives are to enhance efficiency, security, and transparency in asset management. By digitizing assets and recording transactions on an immutable ledger, TAMS reduces the need for intermediaries, minimizes administrative costs, and ensures auditability. Smart contracts automate key processes, improving accuracy and trust among participants. The project's implementation involves selecting an appropriate blockchain platform, designing token standards, creating an intuitive user interface, and adhering to regulatory requirements. The potential challenges of scalability and legal compliance are also considered. In summary, the Token Asset Management project exemplifies blockchain's potential to transform asset management. Through tokenization and blockchain's features, TAMS aims to establish a modernized ecosystem that offers efficient, secure, and transparent asset management solutions.

Developing industry clusters based on 4As to support agritourism competitiveness

Abstract Competitive agritourism thrives on the pillars of the Attraction, Accessibility, Ancillary, and Amenity (4As), serving as fundamental cornerstones in tourism industry. Nonetheless, most agritourism continue to be entrenched in conventional management practices, exposing them to prevalent agricultural risks. Elevating this landscape necessitates a transformative approach. This article aims to analyze the linkages between the 4As and industry clusters in driving sustainable agritourism. The methodology used in this study is a literature review. Industry clusters in agritourism are important due to their ability to utilize shared inputs, optimize business processes through integration and collaboration, and develop outputs through network expansion. Cooperation, coordination, collaboration, and communication are essential for the successful development and competitiveness of agritourism. The arrangement of accommodation in a particular location encourages collaboration, resource sharing, and economies of scale. Increased accessibility improves supply chain management efficiency and reduces costs through collaboration. The availability of well-designed amenities further enhances the attractiveness and competitiveness of agritourism destinations. From the perspective of attractions, collaboration among agritourism contributes to innovation, product development, and sustainable practices. Understanding these linkages can inform strategic decision-making processes and guide the development of policies that leverage the strengths of the 4As to promote sustainable agritourism development.

Optimising Urban Waste Management Through Smart Monitoring Systems: A Case Study in Enhancing Efficiency and Sustainability

Abstract This paper illustrates the significant potential of advanced waste management strategies, particularly the implementation of a trash level monitoring system, to enhance urban sustainability and operational efficiency. This research rigorously evaluates the superiority of real-time data-driven systems over conventional waste management practices by leveraging a dynamic model to simulate trash fill levels and employing algorithms to identify optimal collection routes.

Landscape metrics of the Brusy Commune before and after wind-storm: an assessment of the extent of changes based on Landsat-8 data

Monitoring the change in land cover in disaster-affected areas, such as forests, has become a conventional forest management practice, particularly in protected areas. Most change detection and fragmentation studies rely on single-dated satellite images even while investigating changes over a long temporal span. This study aims to move a step further to compare fragmentation before and after a derecho event that occurred in August 2017 using 23 Landsat-8 images of Brusy Commune within the Tuchola Forest Biosphere Reserve. The supervised classification was carried out in the Google Earth Engine using the machine learning algorithm of random forests within the summer months of 2017 and 2018. The high overall accuracy of 0.92 was obtained for the two images which were then analysed with landscape metrics such as mean patch size, number of patches, total edge and edge density using Patch Analyst. These landscape metrics facilitated the characterisation of landscape fragmentation at both the class and landscape levels. Shannon’s Diversity Index was employed to assess heterogeneity across the landscape. The findings indicate significant fragmentation, particularly in the forest and pasture classes, with overall low diversity. This study underscores the potential for future research to employ advanced machine learning techniques and non-parametric classifiers, such as neural networks, to enhance the prediction of fragmentation across various spatial scales.

Comparative assessment of copper pollution, bioavailability, and ecological risks in soil-cacao systems under organic versus conventional management

The continuous use of fertilizers and fungicides has triggered copper (Cu) contamination in cacao soils in Ghana, which is a critical issue for the ecological risk and health safety of cacao products. In this study, we investigated Cu pollution, bioavailability, and ecological risk in soil and determined the Cu levels in the cacao nib, shell, and pod husk. Soils were collected at two soil depths (0–15 ​cm and 15–30 ​cm) from 20 cacao farms, under conventional (CCM: chemical-based fertilizers) and organic (OCM: organic-based fertilizers) management practices together with pods. The total Cu concentration ranged from 67.6 to 96.8 ​mg ​kg−1 in OCM and 28.5–33.9 ​mg ​kg−1 in CCM soil, which decreased with soil depth. The enrichment factor revealed minimal Cu enrichment, which was attributed to anthropogenic activity (fungicide and fertilizer applications). The contamination factor and geoaccumulation index values were low for the CCM soils, and moderate for the OCM soils. Both management systems pose a low potential ecological risk to soil biota activity. Bioavailable Cu extracted with CaCl2, NH4OAc, and DTPA was dominant in CCM soil and decreased with soil depth. The Cu concentration in cacao plants decreased in the order of shell > pod husk > nib, with nib-Cu being below the threshold (50.0 ​mg ​kg−1) of contamination. The results from the pairwise correlation analysis show that CaCl2-available Cu is better for evaluating the Cu content in cacao plants. This study reveals the pollution levels associated with cacao management practices, thus providing valuable insights for developing appropriate mitigation strategies.

Exploring the landscape of learning analytics privacy in fog and edge computing: A systematic literature review

The study systematically reviews the integration of Fog and Edge Computing within Learning Analytics to enhance data privacy and security in educational settings that use cloud computing. Employing the PRISMA methodology, we analyze current literature from Web of Science and Scopus databases to examine how these decentralized computing technologies can mitigate the risks associated with centralized cloud storage by processing data closer to its source. Our findings highlight the significant potential of Fog and Edge Computing to transform Learning Analytics by enabling real-time, context-aware data analysis that supports personalized learning while ensuring stringent data privacy. This approach challenges conventional data management practices, advocating for privacy by design in developing new strategies and frameworks. The research underscores the need for collaborative efforts in establishing standards and guidelines for secure and effective technology use in education, pointing towards the necessity of addressing technical, operational, and ethical challenges to maximize the benefits of fog and edge computing in Learning Analytics.

Water Banking as a Strategy for the Management and Conservation of a Critical Resource: A Case Study from Tunisia’s Medjerda River Basin (MRB)

The increasingly adverse impacts of climate change (e.g., rainfall patterns, droughts, and floods), coupled with the ever-increasing water demands, are often translated into a contingent liability for water users’ communities. Additional complexities arise due to competing priorities, water rights, and transboundary water sources. Therefore, conventional water management practices should shift toward more comprehensive and responsive integrative approaches, even for systems with limited data. Furthermore, water managers must prioritize dynamic and interactive management techniques for existing systems. One such management technique is water banking, which is the focus of this study. Herein, a dynamic interactive water allocation model, which encompasses the water managers and heterogeneous parties with competing demands, is developed. The voluntary sales of water shares between parties are illustrated through the specific case of the Medjerda River in Tunisia, an excellent example of a transboundary basin with limited hydrologic data and conflicting water use requirements between its upstream and downstream sectors. A set of scenarios is developed for the first analysis with this model: two management scenarios that include the no-water trade and the water banking option; three demand scenarios that include a combination of steady-, low-, and high-water demand conditions; and two hydrologic scenarios that include dry and wet conditions. Based on an economic model, the economic impacts of water banking are calculated using estimates of the costs of water shortages brought to users that illustrate the magnitude. The results show that the water banking technique can improve water resource availability by optimizing the management, operation, and conservation of natural and artificial water storage systems and water distribution infrastructure. Specifically, water banking can offset users’ profit losses during severe conditions (i.e., drought), even with limited hydrologic data. This water management technique would allow the Tunisian government to minimize the economic impacts on farmers from drought and to plan for future uncertainties by optimizing the water storage potential in years of abundant rainfall.

The Relationship between Waste Management Practices and Human Health: New Perspective and Consequences

Waste management, an integral aspect of modern life, exerts a profound influence on both public health and the environment. While existing research explores the environmental impact of various waste management practices, there is a paucity of studies investigating the direct health effects on humans from these practices. This article aims to address this gap by examining the intricate interplay between specific waste management strategies, such as open burning or landfill leachate management, and their potential to cause respiratory illnesses, birth defects, or other health problems in urban areas. Drawing from existing knowledge and recent research, it underscores the imperative of adopting an integrated waste management approach that harmonizes environmental preservation and health considerations. Furthermore, the review spotlights emerging technologies and innovative methodologies that hold promise in mitigating potential health hazards associated with conventional waste management practices. It accentuates the intricate connection between waste management and human health, underscoring the need for holistic strategies that encompass both community welfare and environmental sustainability. This paper advocates for sustainable waste management approaches that not only alleviate health concerns but also promote resource recovery and community engagement. Policymakers, urban planners, and stakeholders are encouraged to collaborate in the adoption of effective waste management methods that safeguard both the environment and human health. By recognizing the intrinsic link between environmental and health issues, a harmonized approach can be forged to address them.

Biological Approaches for Sustainable Pest and Disease Management in Pulse Crops

Pulse crops, including lentils, peas, chickpeas, and beans, play a crucial role in addressing global food security and nutritional needs. However, their production is often hampered by various pests and diseases, leading to significant yield losses. Conventional pest and disease management practices, heavily reliant on synthetic chemical pesticides, have raised concerns about environmental sustainability, human health, and the development of resistance in target organisms. In recent years, biological approaches have emerged as promising alternatives for sustainable pest and disease management in pulse crops. This review provides a comprehensive overview of various biological control strategies, including the use of beneficial microorganisms, plant extracts, and other eco-friendly methods. The review discusses the mode of action, efficacy, and potential applications of these approaches in combating major pests and diseases affecting pulse crops. Additionally, it highlights the challenges and future prospects of integrating biological control methods into integrated pest and disease management programs. By adopting these sustainable practices, pulse crop production can be enhanced while minimizing the environmental footprint and promoting long-term ecological balance. The review serves as a valuable resource for researchers, extension specialists, and stakeholders in the agricultural sector, emphasizing the importance of biological approaches in achieving sustainable and resilient pulse crop production systems.

A Systematic Review of Technology Innovations in Housing Management in Scotland

The global housing management sector is being transformed by digital innovations, especially those introduced by property technology start-ups, or PropTech. These entities are reshaping the dynamics between property owners, tenants, and housing management processes. As scholarly literature expands on this subject, our study focuses on assessing the impact of such digital interventions on housing management in Scotland. This systematic review of 10 scholarly articles (2018–2022) on this subject revealed three dominant themes: automation, digitization management, and brokerage-based functions. These findings indicate a shift from conventional housing management practices, significantly influenced by PropTech advancements. This study provides valuable insights for policymakers and IT designers, guiding them to identify populations in need and create user-centric applications, hence contributing to the evolving landscape of Scotland’s housing market.

Substituting Partial Chemical Fertilizers with Bio-Organic Fertilizers to Reduce Greenhouse Gas Emissions in Water-Saving Irrigated Rice Fields

Conventional water and fertilizer management practices have led to elevated greenhouse gas emissions from rice fields and decreased the efficiency of water and fertilizer utilization in agricultural land. The implementation of water-saving irrigation and the substitution of chemical fertilizers with organic alternatives can influence CH4 and N2O emissions in rice fields. However, it remains unclear how the simultaneous application of both methods will affect the CH4 and N2O emissions in rice fields. Therefore, two irrigation methods (F: flooded irrigation; C: controlled irrigation) and three fertilization modes (A: full chemical fertilizer; B: bio-organic fertilizer replacing 15% chemical nitrogen fertilizer; C: bio-organic fertilizer replacing 30% chemical nitrogen fertilizer) were set up through field experiments to explore the effect of greenhouse gas emission reduction in rice fields by combining controlled irrigation and bio-organic fertilizers. Substituting some chemical fertilizers with bio-organic fertilizers can lower the peak CH4 and N2O fluxes in rice fields, leading to a decrease in the cumulative CH4 and N2O emissions by 11.9~29.7% and 10.8~57.3%, respectively. The reductions led to a considerable decrease in the global warming potential (GWP) and the greenhouse gas emission intensity (GHGI) by 16.1~48.1% and 16.3~48.1%, respectively. Controlled irrigation significantly reduced CH4 emissions by 55.2~69.4% compared with flooded irrigation in rice fields. However, it also increased N2O emissions by 47.5~207.9%, considerably reducing their GWPs by 11.8~45.5%. Neither bio-organic fertilizer substitution nor controlled irrigation significantly affected rice yield. Replacing 15% of chemical nitrogen fertilizers with bio-organic fertilizers in controlled irrigation rice fields can minimize rice GWP and GHGI. The study’s results are of significant importance for enhancing the regulation of greenhouse gases in farmland and achieving sustainable agriculture through cleaner production.

Characterizing PFAS concentrations in drinking water treatment residuals

AbstractWhile drinking water treatment plants (DWTPs) are not considered a source of per‐ and polyfluoroalkyl substances (PFAS), PFAS concentrate in treatment residuals relative to their source water concentrations. Regulatory actions considered for PFAS‐impacted residuals could affect the cost and viability of conventional residual management practices. This study estimated the annual quantity of residuals generated in the United States and presents a framework for understanding how PFAS may concentrate in these residual streams. Findings of this work indicate that PFAS may substantially impact DWTP residuals management, especially coagulation and softening solids, at concentration factors greater than 100 and spent adsorbents at PFAS concentration factors greater than 10,000. If potential regulatory actions were to apply to coagulation and softening residuals, those regulations must consider impacts on disposal of more than 420,000,000 wet tons of at‐risk DWTP residuals which are generated annually.

RentIt: A Peer To Peer Asset Sharing Platform

Abstract: This paper introduces RentIt, an innovative Peer-to-Peer (P2P) rental platform aimed at revolutionizing resource access and sharing. The RentIt system is designed to facilitate seamless connections and transactions among users within a secure and user-friendly environment. Users can effortlessly list, discover, and rent a diverse array of items from fellow users, optimizing the utilization of underutilized assets. The RentIt platform is built on cutting-edge technology, emphasizing trust and transparency in peer-to-peer transactions. Through this system, individuals gain the ability to share their resources with others, contributing to a more sustainable and collaborative community. The platform’s user-friendly interface ensures an efficient and reliable experience for both lenders and renters. This paper details the architecture and functionality of RentIt, highlighting its role in transforming conventional resource man-agement practices. It emphasizes the importance of maximizing the utility of idle assets, promoting a culture of responsible consumption, and fostering a sense of community through shared resources.

The Health of Vineyard Soils: Towards a Sustainable Viticulture

Soil health encompasses the effects the uppermost part of the land have on human wellbeing in a broad sense, because soil is where most food ultimately comes from, and because it more inconspicuously fulfils other ecological functions, as important as feeding, for our planet’s welfare, which is ours. Viticulture exploits the soil’s resources from which wine, its most valuable produce, boasts to obtain some of its unique quality traits, which are wrapped within the terroir concept. However, using conventional methods, viticulture also has harsh impacts on the soil, thus jeopardizing its sustainability. How long will the terroir expression remain unchanged as vineyard soil degradation goes on? While this question is difficult to answer because of the complex nature of terroirs, it is undeniable that conventional soil management practices in viticulture leave, in general, ample room for improvement, in their impact on vineyards as much as on the environment. In response, viticulture must adopt practices that enable the long-lasting preservation of its grounds for both on-farm and off-farm benefits. In this regard, the increase in the soil’s organic matter alongside the enhancement of the soil’s biological community are key because they benefit many other soil properties of a physical, chemical, and biological nature, thus determining the soil’s healthy functioning, where the vines may thrive for a long time, whereas its surroundings remain minimally disturbed. In the present review, the importance of soil health as it relates to vineyards is discussed, the soil degradation factors and processes that threaten winegrowing areas are presented, successful soil-health enhancement practices are shown, and future research trends are identified for the benefit of researchers and stakeholders in this special agricultural industry.