Conservation Technologies Research Articles

Impacts of Climate Change on Streamflow on Dawa Sub-watershed, Genale-Dawa River Basin, Southern Ethiopia

<i>Climate change is statistical variations over an extended period in the features of the climate system, such as variations in global temperatures and precipitation, caused by human and natural sources.</i> In this study aimed to measure and examine how streamflow in the Dawa sub-basin, Genale Dawa River basin was affected by climate change. It used the average of five regional climate models from the Coordinated Regional Climate Downscaling Experiment (CORDEX) Africa, under two different scenarios of Representative Concentration Pathways: RCP4.5 and RCP8.5. The baseline scenario was based on the data from 1975 to 2005, while the future scenarios were based on the data from 2020s (2025–2054) and 2050s (2055–2084). The HBV hydrological model used to assess the impact on streamflow. The HBV model showed good statistical performance in simulating the impact of climate change on streamflow, with a coefficient of determination (R<sup>2</sup>) of 0.88 and Nash-Sutcliffe Efficiency (NSE) of 0.77 for monthly calibration, and R<sup>2</sup> of 0.86 and NSE of 0.83 for monthly validation. The impacts quantified using the mean monthly changes in precipitation, maximum and minimum temperatures. The bias-corrected precipitation and temperature showed a reasonable increase in both future periods for both RCP 4.5 and RCP 8.5 scenarios. These changes in climate variables resulted in a decrease in mean annual streamflow by 1.6 and 3.5% for RCP 4.5 and by 4.6 and 4.9% for RCP 8.5 scenarios of the 2020s and 2050s, respectively. Based on the analysis that predicted a drop in precipitation during the months, and seasons and an increase in precipitation during the <i>Belg</i> season, with a corresponding decrease and rise in stream flow throughout the watershed. So to offset the variation in the watershed, community should adopt various; Soil and water conservation technologies, Using drought tolerant crops, Implementing various trees and appropriate design and applying a water harvesting structure like in-situ, internal or micro catchment, external or macro catchment water harvesting and Surface runoff harvesting. This result offers useful information for current and future water resource management in the basin and similar other watershed in the country.

Effect of Water Conservation Technologies on Growth and Yield of Pearl Millet with Green Gram Intercrop in Semi-Arid Kenya

Effect of Water Conservation Technologies on Growth and Yield of Pearl Millet with Green Gram Intercrop in Semi-Arid Kenya

Examining the impact of filling ratio on thermosyphon performance in passive energy recovery processes with dual effects of evaporative cooling: An experimental study

AbstractThe thermosyphon heat exchanger contributes significantly to the improvement of energy conservation technology and has been used in multiple applications, raising the possibility of further studies to contribute to increasing the efficiency of heat pipes. This experimental study examines the different filling ratios of pure Acetone liquid inside a WHPHE integrated with the double‐effect of evaporative cooling to improve the energy‐saving technology. This work studies changing the filling ratio of pure acetone working fluid to investigate the effect of the filling ratio on heat exchanger performance in waste energy recovery technology. The heat exchanger was used with four rows and five tubes per row arranged in a staggered manner. The filling ratio of acetone inside the heat pipe was changed from 50% to 100%. The effect of the mass flow rate of air flowing in direct evaporative cooling on energy conservation technology was studied while the mass flow rate of air through indirect cooling remains constant in addition to the effect of ambient temperature. The results showed that the best filling percentage was between 80% at different temperatures, and the highest energy recovery percentage was when it was at the filling percentage of 80% in the presence of evaporative cooling.

Public participation in the conservation and management of canal cultural heritage worldwide: a case study of the Rideau Canal and Erie Canal

To shed light on the conservation and management of canal cultural heritage worldwide, this paper examines the relevant experience and implications acquired from the US Erie Canal and Canadian Rideau Canal from the perspective of public participation in terms of four dimensions: subject, concept, content, and horizon. The study findings are fourfold: first, the factors such as residents of the Heritage Corridor, non-governmental organizations, non-profit enterprises, private forces, tourists, and individual volunteers constitute the subject of public participation. Second, both sides concur that extensive public involvement is the driving force behind the success of cultural heritage conservation and management. This wide involvement is conducive to promoting education and shaping national identity. Third, for both sides, public participation is integral to the Heritage Corridor project management plan, spanning the entire process of drafting, revising, implementing, and evaluating. Finally, both sides have been leveraging modern information technology and social media, such as web home pages, databases, virtual discussions, Facebook, Twitter, and Instagram, to promote public participation, and achieving double the results with half the effort. The implications of the findings lie in four aspects: first, the canal community committees assume leadership responsibilities with relevant laws and regulations in place as legal backup; second, both the US and Canadian sides take effective measures to organize, recognize, and appreciate participants; third, they demonstrate the spirit of democratic participation and exemplary deliberation throughout the cultural heritage canal conservation and management process; and finally, both sides maximize the use of modern information technologies for efficient conservation and management of their respective Canal Cultural Heritage Corridors.

Self-powered electrochromic smart window helps net-zero energy buildings

Net-zero energy buildings are becoming an important energy-saving and low-carbon technology for global environmental protection and resource conservation. As the least energy-efficient building components, windows have promoted the development of electrochemically light/thermal management, where smart windows without external electrical supplies are highly desired for net-zero energy buildings. Here, we develop a self-powered electrochromic smart window system to regulate solar radiation transmittance, constructed by a triboelectric nanogenerator (TENG) and a high-performance electrochromic device. The visible–near-infrared (VIS-NIR) dual-band electrochromic device is well-designed based on an eco-friendly low-energy demand phenothiazine redox ionic liquid, demonstrating a fast switching response of ﹤1.9 s, a large transmittance modulation of >51.8 %, and outstanding electrochemical durability (5.5 % attenuation after 4000 cycles). Upon continuous pressing/releasing motions, the integrated TENG-powered electrochromic smart window (TECSW) displays a prompt light/thermal management behavior with desirable privacy preservation performance (transmittance modulation of 51 % in the visible region) and excellent thermal management property (12.3 °C reducti°n). The whole-building energy simulations show that TECSW can save 347.79 MJ/m2yr (amounting to 96.60 kWh/m2yr) of operational Heating Ventilation Air Conditioning (HVAC) warming/cooling energy consumption among 34 cities in China, accounting for 17.25 % of the total energy consumption. This research provides new insight into designing green and energy-efficient smart windows for net-zero energy buildings.

Intelligent Monitoring System for Integrated Management of Historical Buildings

This study demonstrates the effectiveness of a multi-method approach for the restoration of a historic building (train station) in Poland. The project employed field investigations, laboratory analyses, and close-range photogrammetry to create a Historic Building Information Model (HBIM). This comprehensive data set informed the development of targeted conservation strategies that addressed the station’s specific needs while respecting its historical significance. Interventions prioritized the use of locally sourced and sustainable materials, minimized the visual impact on the exterior, and achieved net-zero emissions through improvements to the building envelope and a switch to a heat pump heating system. Additionally, an intelligent monitoring system was implemented to continuously collect data on environmental conditions and structural displacement. These data will be used to develop a predictive model for future maintenance needs, allowing for a preventative approach to conservation and minimizing resource consumption. Overall, this project serves as a model for integrating advanced technologies in historical building conservation, promoting sustainable practices, and ensuring the longevity of irreplaceable cultural landmarks. The key findings derived from this approach encompass a comprehensive assessment of the station’s condition, optimized conservation strategies, insights from HBIM modeling, and the ongoing benefits of the intelligent monitoring system. Field investigations revealed several areas of concern, such as structural cracks, material deterioration, moisture infiltration, and significant heat loss through the building envelope. This information was crucial for developing targeted conservation strategies. The use of internal thermal insulation systems, particularly capillary active mineral blocks, significantly improved thermal performance. Moisture management interventions, including the restoration of the rainwater drainage system and the application of moisture-proof insulation, reduced reliance on the municipal water supply. The intelligent monitoring system, with sensors measuring temperature, humidity, and structural displacement, plays a crucial role in ongoing conservation efforts. This system allows for continuous monitoring and the development of predictive models, ensuring targeted and preventative maintenance, reducing resource consumption, and extending the lifespan of the building.

Utilizing Artificial Intelligence and Remote Sensing to Detect Prosopis juliflora Invasion: Environmental Drivers and Community Insights in Rangelands of Kenya.

The remarkable adaptability and rapid proliferation of Prosopis juliflora have led to its invasive status in the rangelands of Kenya, detrimentally impacting native vegetation and biodiversity. Exacerbated by human activities such as overgrazing, deforestation, and land degradation, these conditions make the spread and management of this species a critical ecological concern. This study assesses the effectiveness of artificial intelligence (AI) and remote sensing in monitoring the invasion of Prosopis juliflora in Baringo County, Kenya. We investigated the environmental drivers, including weather conditions, land cover, and biophysical attributes, that influence its distinction from native vegetation. By analyzing data on the presence and absence of Prosopis juliflora, coupled with datasets on weather, land cover, and elevation, we identified key factors facilitating its detection. Our findings highlight the Decision Tree/Random Forest classifier as the most effective, achieving a 95% accuracy rate in instance classification. Key variables such as the Normalized Difference Vegetation Index (NDVI) for February, precipitation, land cover type, and elevation were significant in the accurate identification of Prosopis juliflora. Community insights reveal varied perspectives on the impact of Prosopis juliflora, with differing views based on professional experiences with the species. Integrating these technological advancements with local knowledge, this research contributes to developing sustainable management practices tailored to the unique ecological and social challenges posed by this invasive species. Our results highlight the contribution of advanced technologies for environmental management and conservation within rangeland ecosystems.

Unveiling the marvels of biodiversity: recent advancements in conservation efforts

This article explores recent advancements in biodiversity conservation, emphasizing the pivotal role of technology in addressing the challenges posed by climate change and the increasing threats to various species. The first section examines technological marvels such as artificial intelligence (AI), remote sensing, and genetic technologies that have revolutionized biodiversity conservation. AI and big data, when integrated, empower scientists to analyze vast datasets efficiently, predict ecological patterns, and recommend effective conservation strategies. AI, remote sensing, and genetic technologies are revolutionizing biodiversity conservation. Examples include AI for wildlife monitoring and species identification, satellite imagery for forest and coral reef health, DNA barcoding and eDNA for species detection, and genetic rescue programs. Integrated approaches combine these technologies for effective habitat and species conservation, improving efficiency and outcomes. Meanwhile, remote sensing technologies, including satellites and drones, offer real-time data on ecosystems, aiding in habitat mapping, species distribution monitoring, and detection of illegal activities. Genetic technologies, like CRISPR-Cas9, hold promise for species resilience, albeit with ethical considerations. In the second section, the article discusses sustainability in conservation efforts, emphasizing the importance of community engagement and the preservation of critical habitats. Collaboration with local communities ensures cultural alignment, while a focus on entire ecosystems, rather than species-specific interventions, maintains biodiversity balance. The third section explores the role of biodiversity in climate change mitigation and as a human life savior. Biodiverse ecosystems act as carbon sinks, contributing to climate change mitigation. Additionally, biodiversity proves to be a valuable source of medicinal compounds and supports global food security by providing diverse crops, livestock, and aquatic species. The article concludes by envisioning a harmonious coexistence between humanity and the diverse species that share our planet. By leveraging technological advancements, engaging local communities, and prioritizing ecosystem preservation, we can strive for a sustainable future where biodiversity flourishes, providing ecological, economic, and cultural richness for generations to come.

Biogas Technology for Strengthening Soil and Water Conservation: A Case Study in Leksana Village, Merawu Subwatershed

Biogas Technology for Strengthening Soil and Water Conservation: A Case Study in Leksana Village, Merawu Subwatershed

A narrative review of gas separation and conservation technologies during xenon anesthesia.

Xenon gas has significant advantages over conventional general anesthetic agents but its use has been limited by the cost associated with its production. Xenon also has significant potential for medical use in the treatment of acquired brain injuries and for mental health disorders. As the demand for xenon gas from other industries increases, the costs associated with its medical use are only likely to increase. One solution to mitigate the significant cost of xenon use in research or medical care is the conservation of xenon gas. During delivery of xenon anesthesia, this can be achieved either by separating xenon from the other gases within the anesthetic circuit, conserving xenon and allowing other gases to be excluded from the circuit, or by selectively recapturing xenon utilized during the anesthetic episode at the conclusion of the case. Several technologies, including the pressurization and cooling of gas mixtures, the utilization of gas selective membranes and the utilization of gas selective adsorbents have been described in the literature for this purpose. These techniques are described in this narrative review along with important clinical context that informs how these technologies might be best applied. Whilst these technologies are discussed in the context of xenon general anesthesia, they could be applied in the delivery of xenon gas inhalation for other therapeutic purposes.

The influence of unfamiliar ingredients on the greenness evaluation of environmentally friendly products

PurposeThe purpose of this study is to assist brand and product managers in selecting appropriate ingredient names for environmentally friendly products. It investigates the effects of unfamiliar ingredients on consumers’ evaluations of environmental friendliness and their purchase intentions, based on the cue consistency theory.Design/methodology/approachFive experimental studies (n = 968) were conducted to achieve the research objectives. Study 1 found that consumers tended to avoid choosing unfamiliar ingredients. Study 2 examined the impact of ingredient familiarity on consumers’ perceived greenness. Study 3 investigated the mediating role of perceived naturalness. Studies 4 and 5, respectively, explored the moderating effects of emphasizing the importance of technology in environmental conservation and product category.FindingsThe findings indicate that when environmentally friendly products are labeled with unfamiliar ingredients (vs. familiar), consumers’ perceived greenness and purchase intentions decrease. This effect is mediated by perceived naturalness. Moreover, the negative impact of unfamiliar ingredients is mitigated by emphasizing the importance of technology and the high-tech product category.Originality/valueThis paper reveals the unique role of unfamiliar ingredients in shaping consumer attitudes toward environmentally friendly products. Based on cue consistency theory, it uncovers how unfamiliar ingredients influence the perceived greenness of environmentally friendly products through perceived naturalness. Furthermore, the paper demonstrates the impact of emphasizing the importance of technology (emphasis vs. control) and product category (high-tech vs. low-tech) on consumer attitudes and behaviors toward environmentally friendly products.

Impact of soil density on biomineralization using EICP and MICP techniques for earthen sites consolidation

Enzyme-induced calcium carbonate precipitation (EICP) and microbially-induced calcium carbonate precipitation (MICP) techniques represent emerging trends in soil stabilization. However, the impact of soil density on biomineralization, particularly in historical earthen sites, remains unclear. This study compares the consolidation effects of EICP and MICP on cylindrical samples (10 cm × 5 cm) with three densities (1.5 g/cm3, 1.6 g/cm3, and 1.7 g/cm3) derived from the soil near the UNESCO World Cultural Heritage Site of Suoyang Ancient City, Gansu Province, China. Results showed that calcium carbonate production increased across all densities through bio-cementation, with higher densities producing more calcium carbonate. MICP-treated specimens exhibited larger increases in calcium carbonate production compared to those treated with EICP. Specimens with a density of 1.7 g/cm³ showed a wave velocity increase of 3.26% (EICP) and 7.13% (MICP), and an unconfined compressive strength increase of 8% (EICP) and 26% (MICP). These strength increases correlated with the generation of calcium carbonate. The findings suggest that biomineralization can be effectively utilized for in situ consolidation of earthen sites, emphasizing the importance of considering soil density in biologically-based conservation technologies. Furthermore, MICP shows potential advantages over EICP in providing stronger, compatible and more sustainable soil reinforcement.

Analysis of the Teaching of Ancient Chinese History in the Heritage Conservation Technology Major

Ancient Chinese history is an important part of the curriculum of the Heritage Conservation Technology major. Students can better understand the history of cultural relics and improve their humanistic literacy, which will help them in restoring cultural relics. At present, there are numerous challenges in teaching ancient Chinese history in the Heritage Conservation Technology major. These challenges necessitate the development of effective teaching reform strategies. This paper outlines these challenges and explores effective teaching reform strategies to provide a reference for educators.

Detection and Quantification of Arnica montana L. Inflorescences in Grassland Ecosystems Using Convolutional Neural Networks and Drone-Based Remote Sensing

Arnica montana L. is a medicinal plant with significant conservation importance. It is crucial to monitor this species, ensuring its sustainable harvesting and management. The aim of this study is to develop a practical system that can effectively detect A. montana inflorescences utilizing unmanned aerial vehicles (UAVs) with RGB sensors (red–green–blue, visible light) to improve the monitoring of A. montana habitats during the harvest season. From a methodological point of view, a model was developed based on a convolutional neural network (CNN) ResNet101 architecture. The trained model offers quantitative and qualitative assessments of A. montana inflorescences detected in semi-natural grasslands using low-resolution imagery, with a correctable error rate. The developed prototype is applicable in monitoring a larger area in a short time by flying at a higher altitude, implicitly capturing lower-resolution images. Despite the challenges posed by shadow effects, fluctuating ground sampling distance (GSD), and overlapping vegetation, this approach revealed encouraging outcomes, particularly when the GSD value was less than 0.45 cm. This research highlights the importance of low-resolution image clarity, on the training data by the phenophase, and of the need for training across different photoperiods to enhance model flexibility. This innovative approach provides guidelines for mission planning in support of reaching sustainable management goals. The robustness of the model can be attributed to the fact that it has been trained with real-world imagery of semi-natural grassland, making it practical for fieldwork with accessible portable devices. This study confirms the potential of ResNet CNN models to transfer learning to new plant communities, contributing to the broader effort of using high-resolution RGB sensors, UAVs, and machine-learning technologies for sustainable management and biodiversity conservation.

Bridging past and present: cutting-edge technologies for predictive conservation of built cultural heritage

Bridging past and present: cutting-edge technologies for predictive conservation of built cultural heritage

Sustainable building practices: From construction to maintenance

This comprehensive study explores the integration of sustainable practices throughout the various phases of a buildings lifecycle, including construction, operation, and maintenance. It emphasizes the pivotal role of material selection, construction techniques, renewable energy integration, energy management systems, retrofitting, water conservation technologies, predictive maintenance, and efficiency monitoring in minimizing environmental impact while enhancing efficiency. Advanced materials such as high-performance concrete and bio-based insulation, alongside innovative construction methods like modular and prefabricated components, are highlighted for their potential to significantly reduce carbon footprints and energy consumption. The study further investigates the adoption of renewable energy systems, demonstrating their efficacy in achieving energy self-sufficiency. Through the operational phase, it underscores the importance of sophisticated Energy Management Systems (EMS) and retrofitting existing buildings with energy-efficient technologies. Additionally, it delves into the incorporation of water conservation technologies, which substantially decrease water usage and associated energy demands. The maintenance phase is discussed with a focus on predictive maintenance using IoT sensors and AI, alongside the use of sustainable materials for repairs. Quantitative analyses throughout the study illustrate potential reductions in energy consumption, carbon emissions, and water usage, underscoring the critical role of these practices in promoting sustainability in the construction industry. This study aims to provide a holistic view of sustainable building practices, offering valuable insights and methodologies for industry professionals and stakeholders.

Saved by the Moon: Imaginaries of Earthly Afterlife in Space

Today, emergent space technology engages in visions of future off-world colonizing, while conservation technology is employed in ensuring the continuation of life on earth. In this article, we combine social science of outer space literature with biodiversity conservation work to analyze how utopian visions of off-world futures and dystopian visions of earth entangle in technoscientific future-making practices. Our case is the Lunar Ark, which is a proposed technoscientific project for a conservation base to be assembled inside the moon’s lava tubes comprising samples of the earth’s ecosystems. We investigate two interwoven imaginaries involving an imaginary of the Lunar Ark as a “reseeding of earth” and secondly, an imaginary in which the Lunar Ark becomes a platform for “escaping earth.” Based on scientific papers, web material, news articles, an interview with the head of the research group, and ethnographic observations, we conclude that the Lunar Ark engages with a speculative bioeconomy, wherein earth is imagined as an unstable and unfit protector of life. In contrast, the Lunar Ark emerges as a pan-humanitarian and maternal-like technoscientific environment.

A Comprehensive Study of Method Optimisation of Re‐Refining Spent Lubricating Oil

ABSTRACTUsed lubricating oil is generated by various machinery after extended operation. It is also referred to as spent mobile oil. Extremely hazardous waste lubricating oil is detrimental to the environment because it produces oxidative products when additives break down. Used lubricating oil is classified as a hazardous waste substance and has a negative impact on the environment. Polychlorinated biphenyls (PCBs), carcinogenic substances and other impurities make lubricating oil poisonous and pose a serious threat to human health and the environment. Re‐refining is considered the preferred technology for resource conservation, waste minimisation and reduced environmental hazards. The present study focuses on optimising the method of re‐refining waste lubricating oil. The effects of various operating parameters such as refining time, refining temperature, solvent‐to‐used oil ratio and flocculant dosage have been extensively studied to maximise the percentage recovery of lubricating oil. Optimum process parameters are (i) a refining time of 80 min, (ii) a refining temperature of 48°C, (iii) solvent‐to‐waste oil ratio of 5:1 (w/w) and (iv) a flocculant dosage of 2 g/kg of solvent; the optimum yield was found to be 75% with the solvent extraction method and 78% with the extraction–flocculation method, respectively. The purity and physico‐chemical properties of the recovered oil were thoroughly analysed using Fourier transform infrared spectroscopy and ASTM standard methods. It was concluded that refined oil can effectively reduce the ongoing oil crisis and create a clean, healthy environment.

Food Security and its Conservation Technology

Food Security and its Conservation Technology

Reusable saturated synthesis solutions for compact zeolite membranes

Zeolite membranes have excellent application prospects in the separation of mixtures with molecular-level differences; however, the uneven distribution of active ingredients on the support causes defects in the zeolite membranes, limiting their industrial applications. In this study, compact NaX and NaA zeolite membranes with perfect pervaporation performance were prepared in reusable saturated membrane synthesis solutions. These saturated membrane synthesis solutions not only provided sufficient Si/Al components for the even growth of zeolite on the support, but also reduced the random deposition of zeolite particles on the support by reducing the formation of zeolite particles in the bulk solution, improving the quality of the resulting zeolite membranes. The separation factors of the obtained NaA and NaX zeolite membranes were greater than 10000 for the water/ethanol and methanol/MTBE mixtures, respectively. Moreover, the saturated synthesis solutions could be reused multiple times to synthesize zeolite membranes after nutrient supplementation, saving resources and reducing environmental pollution. This study presents reusable solutions for synthesizing compact zeolite membranes, promoting the development of membrane technology for environmental protection and energy conservation.