Hasil untuk "Environmental effects of industries and plants"

I Made Gunamantha, Ni Wayan Yuningrat and Made Oviantari

Indonesia is increasingly challenged by the management of organic solid waste, especially in Bali Province, where organic waste accounts for about 68% of the total municipal waste produced. The current waste management strategies mainly depend on landfilling and basic composting techniques, which are inadequate to mitigate the environmental and socio-economic effects. This research utilizes the Analytical Hierarchy Process (AHP) to systematically assess and prioritize eight bioconversion and thermal-conversion technologies for managing organic waste in Bali. The evaluation considers four main criteria, environmental, social, technical, and economic, along with their sub-criteria, based on expert opinions and literature review. The results reveal that bioconversion technologies, particularly composting, black soldier fly (BSF) processing, and eco-enzyme production, are the most appropriate choices, as they offer high community acceptance, reduced greenhouse gas emissions, and better compatibility with local waste characteristics and socio-economic conditions. Thermal technologies like incineration and gasification are less favored due to their higher environmental risks and capital expenses. The findings offer a comprehensive decision-support framework for policymakers and practitioners to create sustainable organic waste management strategies tailored to Indonesia’s context.

Marjenah Marjenah, Kiswanto Kiswanto, Karyati Karyati et al.

Mining activities led to land degradation, which in turn resulted in food insecurity. Additionally, it limited post-mine plant growth actions but did not initiate any new actions. The drawings describe the involvement of soils resulting from various land uses following degradation actions, including agriculture, forestry, and other land uses. It gives an overall description of the activities and processes. The primary factors involved in land degradation include structural changes in soil, pH, and the activity of various components. The Liquid Soil Conditioning (LSC) solution developed in the study provides a resource that can be used as an application option for land restoration. This study evaluated the post-coal mining problem in West Samboja, East Kalimantan Province, Indonesia. It offers a prospect to understand soil conditions related to the availability of essential nutrients and microorganisms. This study examined various physical, chemical, and?biological characteristics of the soil. The results showed that LSC can make land management more sustainable. The LSC can mitigate the opposing effects on soil and support beneficial?soil microbes. This innovation not only restores damaged land and makes it more suitable for planting, but also increases land production and supports the other functions of the natural ecosystem. Those working in land restoration should conceivably use LSC more?frequently. This method can?support more sustainable post-mining land management when accompanied by regular soil monitoring and further research in advance.

Mingdong Jiang, Xinxin Yu, Jingru Xu et al.

Rodrigo do Rosario Nogueira

Ghaidaa Sabah Yousef, Hayder Dibs and Ahmed Samir Naje

Studying and evaluating desertification is essential due to its potential occurrence as a result of both natural and anthropogenic processes. Precise forecasting of forthcoming climate change perils is crucial for devising policies, action strategies, and mitigation measures at both the local and global scales. Remote sensing facilitates the examination, monitoring, and forecasting of several aspects of desertification. Throughout the years, many methodologies have been employed to investigate desertification through the utilization of Remote Sensing (RS). This study investigated the worldwide prevalence and temporal sequence of research that utilized remote sensing (RS) to investigate desertification. In addition, the study assessed the primary approaches and factors employed in the examination of desertification through the analysis of remote sensing data. The application of remote sensing (RS) in the investigation of desertification can be traced back to 1991. Between 2015 and 2020, an annual average of over 40 publications were published, indicating a substantial rise in the utilization and accessibility of remote sensing (RS) technology to monitor desertification. However, there is a significant disparity in the amount of research conducted in different fields. Asia demonstrates a substantially higher quantity of studies in contrast to America or Africa. China has conducted the highest number of research on desertification using remote sensing (RS) techniques. The Thematic Mapper (TM) sensor is the principal source of satellite data, specifically Landsat pictures. The primary techniques utilized for studying desertification are classification and monitoring of alterations. Furthermore, remote sensing methods commonly employ land cover/land use change and vegetation, together with its attributes such as the Normalised Difference Vegetation Index (NDVI), as the primary factors for studying desertification.

Girlly Marchlina Listyono, Parluhutan Manurung

This study investigated land use and land cover (LULC) changes in Obi Subdistrict, Indonesia, from 2010 to 2015, driven by the expansion of the nickel mining industry. Using Landsat 7 and Landsat 8 imagery, Random Forest classification and change detection were conducted to evaluate annual LULC dynamics. Preprocessing included cloud masking and the calculation of NDVI, NDBI, and NDWI to enhance class separability. Four land cover classes were defined: dense vegetation, sparse vegetation, bare soil, and urban areas. The results showed a significant increase in urban/built-up area from 2,052 ha (2010) to 4,843 ha (2015), alongside a decrease in sparse vegetation from 92,770 ha to 84,848 ha. Dense vegetation increased to 10,236 ha in 2015, suggesting potential regrowth. Chord diagrams and pixel-based change maps reveal that transitions from sparse vegetation to urban and dense vegetation dominate the landscape change. Accuracy assessment indicates classification reliability improved from Landsat 7 to Landsat 8, with dense vegetation F1-score increasing from 0.21 to 0.81. This study demonstrated the utility of spectral indices and machine learning in early-stage LULC detection. It recommends future improvements using object-based classification, ground-truth validation, and deep learning for more robust environmental monitoring in resource-rich areas. This study contributes an early-stage LULC assessment framework for mining zones in Indonesia, which can inform future land governance and remote sensing policy applications.

Rahmah Dewi Yustika, Sukarjo Sukarjo, Triyani Dewi et al.

Agriculture is a major contributor to non-point source pollution due to the intensive use of agrochemicals. This study examined the spatial distribution of pollutants from agricultural activities in the Sumani sub-catchment, West Sumatra, Indonesia, which drains into Lake Singkarak. Thirteen water quality parameters were measured, including electrical conductivity (EC), total suspended solids (TSS), total dissolved solids (TDS), dissolved oxygen (DO), sulfate, nitrate, calcium, sodium, total phosphorus (TP), potassium, magnesium, chlorpyrifos, and mancozeb. Results showed significant variation in water quality across the sampling sites. Downstream areas had higher levels of TSS, TDS, and major ions, mainly due to agricultural and urban activities. The lowest TSS levels were recorded at a site within the lake, likely due to sediment settling. River water generally met drinking water standards; however, TP and DO concentrations in the lake exceeded regulatory limits, potentially influenced by floating net cage aquaculture. Principal Component Analysis identified three main sources of pollution: agricultural activities (34.87%), combined agricultural and urban influences (20.15%), and soil erosion (12.15%). These findings highlight the need for better erosion control, sustainable farming practices, and consistent water quality monitoring. Further research is crucial to understand the long-term effects of agriculture on water resources and to develop strategies that reduce environmental impacts.

Shammi Akter Keya, Rohinton Emmanuel, Antti Haapala et al.

The construction sector, particularly buildings, significantly contributes to global energy consumption and carbon emissions. Despite efforts to mitigate environmental impacts, the sector remains poorly prepared for climate change and external shocks. This study proposes a spatial modeling-based framework to assess cities' energy vulnerability, focusing on building- and neighborhood-scale interventions for climate-resilient construction. Methodologically, the study integrates geographical information systems (GIS) and multi-criteria decision analysis (MCDA) to develop a novel Weather Vulnerability Index (WVI), which is demonstrated as a proof-of-concept in the City of Joensuu, Eastern Finland. While GIS–MCDA integration has been used earlier, this study advances its application by adapting it to weather-driven urban energy vulnerability and operationalizing IPCC's vulnerability assessment framework in a dual-scale approach. The WVI employs openly accessible datasets and a flexible structure that accommodates contextually relevant variables, while ensuring adaptability across diverse urban settings. It is particularly effective for small- and mid-sized cities, where adaptable and data-efficient tools remain scarce. The WVI classifies neighborhoods based on their vulnerability to high energy consumption and supports targeted interventions, such as retrofits and greening, offering decision-makers a transparent and transferable tool for advancing sustainable and climate-resilient urban development.

Riccardo Gianluigi Serio, Diego Giuliani, Maria Michela Dickson et al.

This study investigates the relationship between environmental sustainability policies and tourism flows across Italian provinces using a Spatial Durbin Error Model (SDEM) within a gravity framework. By incorporating both public and corporate environmental initiatives, the analysis highlights the direct and spatial spillover effects of sustainability measures on tourism demand. The findings indicate that corporate-led initiatives, such as ecocertifications and green investments, exert a stronger direct influence on tourism flows compared to public measures, underscoring the visibility and immediate impact of private sector actions. However, both types of initiatives generate significant positive spatial spillovers, suggesting that sustainability efforts extend beyond local boundaries. These results demonstrate the interconnected nature of regional tourism systems and emphasize the critical role of coordinated sustainability policies in fostering tourism growth while promoting environmental protection. By addressing the spatial interdependencies of tourism flows and sustainability practices, this research provides valuable insights for policymakers and stakeholders seeking to improve sustainable tourism development at regional and national levels.

Andre Rochow, Jonas Marcic, Svetlana Seliunina et al.

3D phenotyping of plants plays a crucial role for understanding plant growth, yield prediction, and disease control. We present a pipeline capable of generating high-quality 3D reconstructions of individual agricultural plants. To acquire data, a small commercially available UAV captures images of a selected plant. Apart from placing ArUco markers, the entire image acquisition process is fully autonomous, controlled by a self-developed Android application running on the drone's controller. The reconstruction task is particularly challenging due to environmental wind and downwash of the UAV. Our proposed pipeline supports the integration of arbitrary state-of-the-art 3D reconstruction methods. To mitigate errors caused by leaf motion during image capture, we use an iterative method that gradually adjusts the input images through deformation. Motion is estimated using optical flow between the original input images and intermediate 3D reconstructions rendered from the corresponding viewpoints. This alignment gradually reduces scene motion, resulting in a canonical representation. After a few iterations, our pipeline improves the reconstruction of state-of-the-art methods and enables the extraction of high-resolution 3D meshes. We will publicly release the source code of our reconstruction pipeline. Additionally, we provide a dataset consisting of multiple plants from various crops, captured across different points in time.

Blessing Austin-Gabriel, Aparna S. Varde, Hao Liu

This paper proposes an approach in the area of Knowledge-Guided Machine Learning (KGML) via a novel integrated framework comprising CNN (Convolutional Neural Networks) and ViT (Vision Transformers) along with GIS (Geographic Information Systems) to enhance power plant classification in the context of energy management. Knowledge from geoinformatics derived through Spatial Masks (SM) in GIS is infused into an architecture of CNN and ViT, in this proposed KGML approach. It is found to provide much better performance compared to the baseline of CNN and ViT only in the classification of multiple types of power plants from real satellite imagery, hence emphasizing the vital role of the geoinformatics-guided approach. This work makes a contribution to the main theme of KGML that can be beneficial in many AI systems today. It makes broader impacts on AI in Smart Cities, and Environmental Computing.

Jinying Guo

Plant-based food additives, mostly derived from agricultural products, have become a substitute for synthetic additives in food industry in recent years. Thy are safer, more metabolic compatible and more effective in antioxidant and antimicrobial effects. However, the environmental performance of these additives remains insufficiently quantified. This study employs Life Cycle Assessment (LCA) to illustrate their ecological impacts across production, processing, and application. Especially pay attention to green extraction processes such as supercritical CO₂ extraction, ultrasound-assisted extraction, and valorization of agricultural by-products. Results indicate that plant-based additives generally achieve lower carbon footprints and reduced ecotoxicity compared with synthetic food additives, while supporting circular economy pathways through the renewable recourses. Nevertheless, there are several challenges hinder industrial-scale adoption, high production costs and the lack of unified safety and quality standards. Addressing these barriers requires a combination of technological innovation, standard-setting, and policy incentives such as carbon pricing and green certification. By integrating environmental, industrial, and societal perspectives, this research highlights the potential of plant-based food additives to advance sustainable food systems and contribute to global climate and health goals.

R. Linares, A. López-Uceda, A. Piccinali et al.

Nowadays, all productive sectors, including the construction industry, are facing the challenge of reducing their environmental impact. To achieve this objective, numerous actions are being carried out to access greater levels of environmental and economic sustainability. Techniques as Life Cycle Assessment contribute to quantifying environmental impacts, promoting a circular economy in a sector that consumes a high volume of resources, materials, and energy while generating large amounts of gaseous, liquid, or solid emissions. The present study aims to deepen our understanding of aspects that demonstrate the benefits of using RA instead of natural aggregates. This study not only quantifies the environmental impact but also explores the effects of potential improvements in the productive system and their impact on reducing environmental harm. The Life Cycle Assessment methodology is applied to quantify and compare the environmental impacts generated in the production of a ton of mixed recycled aggregates (MRA) from construction and demolition wastes, based on the data provided by plant managers. This is compared to the environmental impacts generated in the production of one ton of natural aggregates extracted from a quarry. The results revealed that the production of mixed recycled aggregate is more environmentally beneficial, confirming a reduction of 70.66% in environmental impacts during the production of recycled aggregates, in comparison to the natural aggregates extraction. Furthermore, the economic analysis demonstrates the economic advantage since the cost of producing recycled aggregates is over 30% cheaper than natural aggregates, being more competitive even when the transportation distances from the plant to the work sites exceed those of natural aggregates.

Marlyse Meffo Kemda, Michela Marchi, E. Neri et al.

Introduction: Hemp is a crop cultivated in Europe since ancient times, with a variety of purposes and products. Despite being known for its positive environmental effects on ecosystems, the impacts of hemp-based food products have not been sufficiently investigated yet. This paper contributed to deepen the knowledge of the hemp industry by focusing on the potential environmental impact of the cultivation phase (under three different agronomic practices in Italy: organic outdoor and conventional outdoor, and indoor) and the production of selected hemp-based goods (seed oil and flour for food purposes and flowers for therapeutic uses).Methods: The impact was quantified utilizing the life cycle assessment within different impact categories, such as carbon footprint (CF), eutrophication (EP), acidification (AP), and water footprint (WF). For a carbon offset assessment, the carbon storage capability (i.e., the carbon fixed in crop residues left in the field) of hemp was also investigated through the guidelines provided by the Intergovernmental Panel on Climate Change (IPCC).Results and Discussion: The cultivation phase contributed to a CF that ranged from 1.2 (organic outdoor) to 374 (indoor) kg per kg of grains (conventional outdoor). These results were in line with the literature. Sensitivity scenarios based on hotspot analysis were also presented for CF mitigation for each kind of cultivation. On the other hand, the ability of hemp to sequester carbon in the soil due to crop residues left in the field (i.e., carbon storage) was evaluated (−2.7 kg CO2 (ha year)−1), showing that the CF was fully compensated (−0.27 kg CO2 (ha year)−1 for conventional outdoor and −1.07 kg CO2 (ha year)−1 for organic outdoor). Regarding hemp-based products, only dried flowers showed a negative balance (−0.99 kg CO2 per kg dry flower), while hemp oil and flour reported 31.79 kg CO2 per kg flour) when carbon storage was accounted. The results support the idea that the production chain can be sustainable and carbon-neutral only when all the different parts of the plant (flowers, seeds, fibers, leaves, and all residues) were used to manufacture durable goods according to the framework of the circular economy.

Lawrence Tene Tayo, Aldo Joao Cárdenas-Oscanoa, Arne Beulshausen et al.

The importance of creating eco-friendly and health-conscious materials has become paramount in striving to attain long-term development goals. For the past decades, constant efforts have been made to tackle the issue of formaldehyde release from wood-based panels which, to date, are still mainly produced from unsustainable synthetic adhesives. In the pursuit of sustainable and environmentally responsible adhesive solutions for the wood industry, sodium bisulfate, sodium bisulfite, and sodium nitrite were used under different heat treatment conditions as crosslinkers for canola protein-based bio-adhesive formulations. The developed adhesive formulations showed outstanding mechanical properties, with a viscosity below 4000 mPa/s despite the relatively high solid content, as well as excellent bonding performances. The one-layer particleboards bonded with the canola-based adhesive demonstrated outstanding mechanical properties, with the internal bonding and the bending strength values surpassing 0.60 N/mm2 and 10 N/mm2, respectively. Notably, the sodium nitrite-crosslinked variants exhibited significantly superior performance compared to the UF-bonded control boards. Longer incubation times generally improve bonding strength, with sodium nitrite showing the most pronounced effects. The results of this research showcase not only the possibility of developing a plant protein-based wood adhesive with high solid content, but also the potential superiority of canola protein-based wood adhesives when compared to conventional, synthetic counterparts. These findings offer valuable insights for optimizing bio-based adhesives in wood composite manufacturing, highlighting sodium nitrite as a promising crosslinker for enhancing the adhesive’s performance.

Ndubuisi Elizabeth, Chinyerem, Eguzoro Chika et al.

The oil and gas industry plays a vast and vital role in our society. Despite the numerous benefits of the production of crude oil, its activities pose a lot of dangers to the environment and living organisms because it generates a huge volume of solid and liquid wastes, thus, these wastes require treatment before disposal. The major drilling wastes are drilling muds, drilling cuttings, and obnoxious gas emissions. Parameters that should be considered during the disposal of decontaminated drilling muds and drill cuttings are heavy metals. These wastes are introduced into the environment through accidental spills as well as intentional discharge. The discharge into the environment has effects on humans, plants, birds, soil, and also aquatic life. Generally, oil based drilling fluid usage and disposal are not preferable. However, water based drilling fluid and synthetic based drilling fluid can be a technically and economically disposed because they are biodegradable. Generally, drilling waste disposal options are offshore disposal, onshore disposal and drill cuttings re-injection. Zero discharge can achieved by drill cuttings re-injection. However extensive study must be carried before drill cuttings can be re-inject to the formation. Disposal options must be evaluated based on economics, environment and operational aspects. This study aimed at evaluating the heavy metals present in the drilling fluid waste and drilling cuttings. The experiment was achieved with the aid of a Flame Atomic Absorption Spectrophotometer (FAAS). Upon the investigation, it was discovered that lead concentration in drilling cuttings was the highest with the concentration of 1,058.9 mg/l and drilling fluid was 190.3 mg/l whereas NUPRC limit is 5 mg/l; the total chromium concentration in drilling cuttings was 19.16 mg/l and drilling fluid was 8.38 mg/l whereas NUPRC limit is 8 mg/l; zinc was 58.10 mg/l in drilling cuttings while in drilling fluid it was 23.96 mg/l whereas NUPRC limit is 50 mg/l; silver concentration in drilling cuttings was 14.67 mg/l and drilling fluid 0.91 mg/l whereas NUPRC limit is 5 mg/l; Cadmium concentration in drilling cuttings was 2.17 mg/l and drilling fluid was 1.36 mg/l whereas NUPRC limit is 1 mg/l. In no doubt. The study has shown that disposal of this drilling fluid waste and drilling cutting directly into the environment without treatment will be detrimental to the living organisms and therefore should be discouraged.

Yasir Hamid, Owais Shafi Malik, Huma Khan, Gauhar Mehmood and Amina Zakiah

River dredging is crucial for mitigating the risk of floods by enhancing the water-carrying capacity of rivers. Nevertheless, the key difficulty lies in the appropriate disposal of dredged material, resulting in escalated costs. Predominantly consisting of silt, the dredged material demonstrates constrained bearing capacity and strength. Nonetheless, there is a prospect to derive value from excavated sediments, with potential applications in diverse public works projects. The processed product derived from dredged material can serve diverse purposes, such as filling railway and highway embankments, as well as the subgrade of pavements. The comprehensive study involved analyzing the fundamental properties of the dredged material collected from the Allochibagh flood channel of the Jhelum River. The analysis focused on determining the basic geotechnical properties of the soil mass. The tests unveiled the fine and cohesive nature of the dredged soil. To enhance its properties, sand was introduced as a stabilizing agent in varying proportions. The investigation revealed an initial augmentation in compressive strength as the proportion of sand increased, attaining an optimal mixture whereafter the strength declined. This study explores the utilization of sand as a stabilizing agent for dredged soil to enhance its strength and optimize its application. The process of stabilizing dredged soil with sand demands a thorough examination of hydrogeological processes, the specific characteristics of the dredged soil, and the intricate transport of contaminants. This formal and multidisciplinary effort seeks to elevate the overall stability of the soil.

Lukas Budde, Leonardo Laglia, Thomas Friedli

Increasing demands for limited natural resources accelerate rethinking their usage and processing. A focal point of interest lies in the steel industry, given its substantial contribution to emissions and the notable attribute of steel being fully recyclable. Hence, closing material loops to ensure the preservation of material value and supply security is of substantial importance. Yet, until today, supply chains are still characterized by interrupted information streams that prevent circular material flows. Digital platforms are attributed to overcoming these shortcomings due to their ability to moderate ecosystems and render technological connectivity. However, industrial companies lack knowledge of how digital platforms can be used to design closed material loops. Therefore, this paper is built on a longitudinal case study of a joint venture between a recycling and steel melting plant company aiming at creating a digital platform to close the material flow of steel. Six design priorities, structured along the three core building blocks of digital platform ecosystems and the four core dimensions of collective action theory (CAT), have been derived to guide managers in designing digital platforms for the CE-specific context. This study presently contributes to understanding the relationship between digital platforms and CE.

O. L. Rominiyi, M. A. Akintunde, E. I Bello, L. Lajide, O. M. Ikumapayi, O. T. Laseinde and B. A. Adaramola

The high rate of generation of plastic waste in the country and the fact that all other means of Municipal Plastic Waste (MPW) management techniques had failed leading to the requirement of efficient and alternative disposal technique-depolymerization. The technique involves heating the polymeric waste at an elevated temperature in an inert environment to produce condensable, non-condensable, hydrocarbon and biochar. The plastic waste was collected at the Ilokun dumpsite in Ado-Ekiti, southwest Nigeria. Each component of the waste samples was depolymerized in a batch reactor without the use of a catalyst and with the addition of 10 g of activated carbon (AC) and calcium oxide (CaO) as catalysts. The liquid fuels which were produced between the temperature range of 219 and 232 were blended with standard fuel. Fuel samples with conventional diesel and depolymerized plastic diesel were characterized based on ASTM standards. The results of the proximate and ultimate analysis indicated that percentage moisture content ranges from 0.00-0.18%, volatile matter ranges between 96.66-99.75% and percentage ash content ranges from 0.13-3.03%. Fixed carbon ranges from 0.004-0.31% while the Gross Heating Value (GHV) ranges from 42.66-45.87 MJ/kg. The CHONS analyzer indicated the percentage of carbon, hydrogen, oxygen, nitrogen, and sulfur content range 81.64-85.51%, 12-31-18.04%, 0.00-1.51%, 0.00-0.73%, and 0.10- 0.97% respectively. The results of the physiochemical properties of the samples show that the density, API gravity, Kinematic viscosity and Flash point vary from 0.76-0.83 (g/cm3), 38.98-54.68, 17-2.80 (cm2/s) and 50.0-70.0 (°C) respectively while Cloud point, Pour point, Fire point and Cetane index range from -20-15.0 (°C), -23-7 (°C), 61.0-79.0 (°C) and 38.50-47.0. The pH values of the liquid fuel samples vary from 6.60-3.30. The overall results of the characterization indicated the fuel samples have proximity to the properties of the conventional diesel following the ASTM D975, ASTM D4737, ASTM D1298, ASTM D445, ASTM D2709, and ASTM D482 standards. The depolymerized polymeric waste is sustainable, with a low cost of production. Hence a good substitute as an alternative fuel and means of wealth creation from waste.

Lovisa Harfeldt-Berg

Industrial symbiosis (IS) has been recognized as an important approach to succeed in the transition towards increased circularity in industry and society. IS involves collaboration between different actors sharing resources, aiming to minimize waste, improve resource and/or energy efficiency, resulting in reduced emissions and environmental impact. This study conducts an embedded single case study at an IS network in Sotenäs, Sweden, where both private and public actors collaborate by exchanging resources. The study identifies benefits and adverse effects of the IS network and explores how these are considered in the actors' decision-making regarding participation. The results indicate that different actors perceive different types and degrees of benefits and adverse effects. To add further value, this study develops an analytical framework for mapping benefits and adverse effects in the form of an impact assessment matrix. The framework maps at what level in society effects accrue and at what point in time they are expected to occur. The results of this study can help understand the role of specific benefits and adverse effects in actors’ decision-making, and show the distribution of effects across societal levels. This knowledge can help understand the complexity of IS networks and thereby facilitate the implementation of IS.