Mitigation Efficacy Research Articles

Ensuring sustainable impact of the national report on climate change and health in Germany 2023

Abstract Issue/problem The Robert Koch Institute recently coordinated a status report on climate change and health for Germany, detailing the current and future impact of climate change on health through 14 chapters. Description of the problem A central aim was to ensure the report’s long-term impact and public health value. Essential areas of focus have therefore been stakeholder-specific communication and establishing a network of experts for continued scientific exchange. Results The publication of the report as peer-reviewed articles has served to reach the scientific community. Another target group are public health practitioners and decision makers at subnational levels, who can contribute towards climate change mitigation and adaptation measures relevant to health, as recommended in the report. This latter group was reached through various methods and formats of science communication, including conferences aimed at the public health sector, through target-group oriented podcasts, social media engagement and digital town hall discussions. Following publication, the experts involved in writing, reviewing and using the report were invited to establish a network in order to support long-term scientific exchange and collaborations and in turn ensure the report’s sustainable impact and value. Lessons Through follow-up evaluations, the reception of the report and the further communication needs of this target group were analysed. A major lesson was to include the insights of public health practitioners more systematically and at an earlier stage in any future reports. As for the establishment of a network, a survey amongst the authors and other experts showed what this group considers the goals of this network: creating synergies and connections with existing initiatives and providing a platform for further exchange, especially amongst researchers addressing similar questions, such as the efficacy of mitigation and adaptation measures, from different angles. Key messages • Local public health practitioners are important stakeholders for climate change and health for ensuring public health impact. • The expertise in the network will support continued scientific exchange on climate change and health and thus ensure the national report’s sustainability.

High temperature oxidation mitigation efficacy of Al2O3 and Ni-20Cr ceramic coating on boiler steel application

The primary reason of degradation and failure of many products used for high temperature applications are oxidation. Protective coatings are employed to increase the component resistance to oxidation. In the present research work, Al2O3 and Ni-20Cr were applied as coatings on SAE431 steel using a detonation gun spraying technique. At 800 °C in air with 50 cycles of heating and cooling, the oxidation behavior of uncoated and coated SAE-431 boiler steel was analyzed. Ni-20Cr coating on SAE431 boiler steel exhibits approximately 25.44 % higher oxidation resistance and the Al2O3 coating on SAE431 boiler steel exhibits approximately 32.22 % higher oxidation resistance compared to uncoated SAE431 boiler steel. After oxidation at 800 °C, the SAE431 boiler steel coated with Ni-20Cr displays prominent peaks of the Cr2O3 and Ni phases, with some minor phase of NiO. The NiO phase is observed to be less intense than Cr2O3 and Ni phases. After oxidation at 800 °C, Al2O3 coated SAE431 boiler steel exhibited strong peaks of ƞ-Al2O3 and δ-Al2O3 phases. The X-ray diffraction investigation also reveals the existence of the α-Al2O3 phase. According to our findings, based on weight change data, Ni-20Cr and Al2O3 coated boiler steel provided higher oxidation resistance than the uncoated SAE431boiler steels. The enhancement in the oxidation resistance of boiler steel can be attributed to the formation of nickel, chromium and aluminum oxide inert layer which is evident from the XRD patterns also. Exploration throughout global survey has been already done and it was found that not much work has been done on the high-temperature behavior of Ni-20Cr and Al2O3 coatings. The data obtained from the study will be helpful in examining the viability of using these coatings on boiler tubes.

Influence of enforced carbonation on alkali-silica reaction: Performance and multi-scale mechanisms

Alkali-silica reaction (ASR) has emerged as one of the major concrete deterioration issues. Despite the extensive effort investments in ASR mitigation, the interaction between ASR and carbonation remains unclear. To investigate the role and mechanisms of early-age enforced carbonation in ASR, enforced carbonation conditions at 50 °C and 95 % RH with different CO2 concentrations up to 20 % were employed at two stages. The ASR mitigation efficacy was evaluated by monitoring the volume expansion and cracking behavior of mortars containing reactive aggregates. A comprehensive understanding was obtained by analyzing the evolutions of ASR gel's composition, molecular structure, and hygroscopicity. The results indicate that ASR can be effectively suppressed under carbonation with a 97.9 % decrease in ASR-induced volume expansion and fully suppressed cracking when the mortars were cured at 20 % CO2 for 30 days. The decreases in the Q3 polymerization sites and [K + Na]/Si ratios of the ASR products, as well as the 30.3 % reduction in water uptake capacity of ASR gels under carbonation, uncovered the underlying mechanisms for the mitigated ASR at multiple length scales.

A study of arc plasma energy deposition flow control on blunt-headed protuberance induced STBLI

This paper presents experimental results of flow control method using plasma energy deposition on shock wave interactions induced by blunt-headed protuberance on a flat plate at Mach 2.0. Upstream of the leading edge of the protuberance, plasma energy deposition was generated by high-frequency pulsed discharge at three streamwise locations on the flat plate. High-speed Schlieren technique was utilized to investigate the unsteadiness characteristics of shock wave/turbulent boundary layer interaction (STBLI). The visualization results reveal that thermal bubble structures formed by the pulsed discharge could attenuate the separation shock continuously, resulting in a 12.8% decrease in the maximum pressure in the interaction wall. Experimental findings disclosed the dependency of this mitigation efficacy on the average discharge power. The pulsation of the separation shock was also affected by average discharge power, while the pulsation of boundary layer and shear layer was linked to both the discharge power and frequency. The numerical results predicted flow topology under control well with experiment results, low-density plasma layer was formed by high-frequency discharge, which weakening the separation shock substantially, the “λ” shock intensity was also decreased. The flow field of numerical simulation and experiments are in good agreement. Additionally, the control of the thermal bubble structures on STBLI was very effective in terms of reducing the motion and weakening the intensity of the low-frequency separation shock, and augmenting the high frequency component in the turbulent boundary layer and shear layer.

Green space coverage versus air pollution: a cloud-based remote sensing data analysis in Sichuan, Western China

ABSTRACT Air pollution is the greatest health risk to human health, as acknowledged in several Sustainable Development Goals (SDG), such as SDG-1, SDG-3, SDG-7, and SDG-11. Despite global comprehension of the positive effect of Green Space Coverage (GSC) on mitigating air pollution, investigating the impact of different GSC types has received little attention. Here, we utilized multiple air pollution data and a cloud-computing platform to examine the role of different GSC types in mitigating NO2 and PM2.5 pollutants across 2019 and 2022 in Sichuan Province, China. We classified GSC areas into tall GSC and short GSC classes, taking into account the recognized importance of vegetation height in prior studies. Our analysis revealed that tall GSCs exhibit lower pollutant levels across all areas studied, indicating a potential correlation between GSC height and pollution mitigation efficacy. Furthermore, in high human activity areas, while tall GSC emerged as effective sinks for PM 2.5 compared to short GSC (25% and 20% lower average annual in 2019 and 2022, respectively), their performance in reducing NO2 pollutant levels was relatively limited (9% and 4% lower average annual in 2019 and 2022, respectively). These findings can contribute to urban planning and environmental management.

Development of a bolometry diagnostic for SPARC.

To control and optimize the power of the SPARC tokamak, we require information on the total radiated power of the plasma and its 2D and 3D spatial distribution. The SPARC bolometry diagnostic is being designed and built to measure the radiated power for controlling power balance, investigating the dissipation capabilities of various divertor concepts, and measuring the efficacy of the disruption thermal load mitigation. Proven resistive bolometer sensor technology will be used, with 248 lines of sight integrated into pinhole cameras in 20 different locations. This diversity of views will allow the bolometers to view the core, divertor, and particularly X-points of the plasma with high resolution. 14 of these camera locations are dedicated to 2D equilibrium radiated power, while the remaining six locations are designed to measure 3D radiated energy during disruptions. The bolometer sensor holders, pinhole camera boxes, and cabling have been designed to survive the high neutron flux (but low fluence) and up to 400 °C temperatures seen during operation and vacuum bake. The resistive bolometer sensors use Au absorbers with an Al heat conduction layer and C anti-reflective layer. These sensor chips are wire-bonded to an AlN circuit board, both of which are held inside a custom AlN and stainless steel bolometer holder. Design and optimization of the pinhole camera lines of sight are performed using Cherab. This work details the current state of the design of the SPARC bolometry diagnostic and its interfaces, as well as ongoing work to validate the design.

Imaging sensor band comparison for situational awareness in wildfires

In recent decades, wildfires have become increasingly widespread and hazardous. Dryer, hotter weather combined with more frequent heat waves leave forest areas susceptible to sudden, intense, and fast-growing forest fires. To protect private property and mitigate the damage, Hotshot firefighters are deployed into these dangerous situations. Extensive satellite and aerial platforms possess optical techniques for monitoring wildfire risks and boundary tracking. Small unmanned aerial system (sUAS)-based EO/IR systems provide a solution for real-time, high resolution, targeted response to acquire information critical to the safety and efficacy of wildfire mitigation. Real-time imagery from a sUAS of the position of Hotshots and the progression of the fire boundary would be easily obtained and offer a method of ensuring safe deployment. An ideal sensor system for situational awareness in this environment would be able to image the ambient terrain and firefighters with good contrast while also detecting fire signatures and imaging through the smoke. Longer wavelength infrared bands have demonstrated imaging through the smoke of forest fires. However, near the wildfire where the Hotshots work, they also receive strong radiometric signals from the temperature of the smoke. The emitted signal of the smoke can obscure the line of sight similarly to the scattering effect of wildfire smoke in the visible spectrum. The reflective and emissive components of a wildfire scene are studied and compared in the visible (VIS, 0.4–0.7 µm), shortwave infrared (SWIR, 1.0–1.7 µm), extended SWIR (eSWIR, 2.0–2.5 µm), and longwave infrared (LWIR, 8–14 µm). Both a radiometric model and calibrated field measurements find a band that has the highest, to our knowledge, probability for a continuous line of sight for terrain, firefighters, and fire signatures in a wildfire scene.

Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging.

Artificial intelligence (AI) models trained using medical images for clinical tasks often exhibit bias in the form of subgroup performance disparities. However, since not all sources of bias in real-world medical imaging data are easily identifiable, it is challenging to comprehensively assess their impacts. In this article, we introduce an analysis framework for systematically and objectively investigating the impact of biases in medical images on AI models. Our framework utilizes synthetic neuroimages with known disease effects and sources of bias. We evaluated the impact of bias effects and the efficacy of 3 bias mitigation strategies in counterfactual data scenarios on a convolutional neural network (CNN) classifier. The analysis revealed that training a CNN model on the datasets containing bias effects resulted in expected subgroup performance disparities. Moreover, reweighing was the most successful bias mitigation strategy for this setup. Finally, we demonstrated that explainable AI methods can aid in investigating the manifestation of bias in the model using this framework. The value of this framework is showcased in our findings on the impact of bias scenarios and efficacy of bias mitigation in a deep learning model pipeline. This systematic analysis can be easily expanded to conduct further controlled in silico trials in other investigations of bias in medical imaging AI. Our novel methodology for objectively studying bias in medical imaging AI can help support the development of clinical decision-support tools that are robust and responsible.

Assessing the Efficacy of Air Pollution Mitigation in Beijing: Insights from GIS and Machine Learning Analyses

This paper examines Beijing air pollution treatment through examining the Aerosol Optical Depth from 2013 to 2019, and pollutants density change in the region of Beijing city, Tianjin city, and Hebei province, using remote sensing products, i.e., aerosol optical depth from MODIS and the Sentinel- 5P SO2 and NO2 density products in Google Earth Engine and QGIS. The study finds that the whole region experienced an AOD decrease. In addition, the patterns suggest that Beijing didn’t shift its pollution to the surrounding area. However, Beijing city’s SO2 and NO2 density still remain high in the region. Additionally, a machine learning model is introduced to further understand the dynamics of PM2.5 in Beijing.

Optimisation of fermentation for developing a novel low‐allergenic fermented milk beverage with reduced antigenicity

In pursuit of expanding dietary options for those with allergies, we aimed to develop a low‐allergenic fermented milk beverage. We adopted a combination fermentation strategy to enhance the allergy mitigation efficacy of 4 strains of lactic acid bacteria. Our fermentation conditions were optimised with an equal ratio (1:1:1:1) of strains, a total 5% inoculation rate and fermentation at 40°C for 6.5 h. Under conditions, the antigen reduction rates for α‐lactalbumin (α‐LA), β‐lactoglobulin (β‐LG), α‐casein and β‐casein were impressive, ranging from 43.54 to 70.51%. A 28‐day storage assessment showed that the reduction rates of the 4 antigens ranged from 38.98% to 78.06%. Most importantly, it was found through indirect competitive ELISA that the binding ability of immunoglobulin E to α‐LA and β‐LG, which we are concerned about, was significantly reduced compared to the unfermented sample. Notable, the beverage maintained favorable physicochemical properties throughout the storage period.

The retuner: A low energy and slow timescale control device for the re-tuning of a suboptimal tuned mass damper

Tuned mass dampers (TMDs) have been widely studied and used for mitigating the structural vibrations induced by environmental loads such as wind, earthquakes, and traffic. Nevertheless, the effectiveness of TMDs can be compromised when confronted with uncertainties coming from either structural parameters or environmental loads. Such deviations from the optimal tuning configuration can substantially impact their mitigation efficacy. The retuner, a new concept in the field of structural dynamics, is an additional mass–spring system that can be incorporated in series with the TMD to reduce its sensitivity to mistuning. Remarkably, in the presence of mistuning, the judicious adjustment of retuner parameters enables an interaction with TMD parameters, thereby restoring the TMD’s original performance. Exploiting an eigenvalue-based approach, the design of the retuner system is made simple and guided by analytical criteria, offering ease of implementation and broad applicability. Being a simple addition to a well-known system, the retuner is an efficient and low-cost alternative solution for structural vibration control.

Insights into the corrosion mitigation efficacy of modified SiO2/GO-based epoxy composite coatings for aluminum alloy AA6061 in marine applications

Insights into the corrosion mitigation efficacy of modified SiO2/GO-based epoxy composite coatings for aluminum alloy AA6061 in marine applications

Analysis of protected species observer data: Strengths, weaknesses, and application in the assessment of marine mammal responses to seismic surveys in the northern Gulf of Mexico 2002-2015.

Visual observation data collected by protected species observers (PSOs) is required per regulations stipulated in Notices to Lessees (NTLs) and geophysical survey Permits (Form BOEM-0328) issued to seismic operators in the Gulf of Mexico (GOM). Here, data collected by certified and trained PSOs during seismic surveys conducted between 2002-2015 were compiled and analyzed to assess utility in assessing marine mammal responses to seismic noise and effectiveness of required mitigation measures. A total of 3,886 agency-required bi-weekly PSO Effort and Sightings reports were analyzed comprising 598,319 hours of PSO visual effort and 15,117 visual sighting records of marine mammals. The observed closest point of approach (CPA) distance was statistically compared across five species groupings for four airgun activity levels (full, minimum source, ramp up, silent). Whale and dolphin detections were significantly farther from airgun array locations during full power operations versus silence, indicating some avoidance response to full-power operations. Dolphin CPA distances were also significantly farther from airguns operating at minimum source than silence. Blackfish were observed significantly farther from the airgun array during ramp up versus both full and minimum source activities. Blackfish were observed significantly closer to the airgun array during silent activities versus at full, minimum source, and ramp up activities. Beaked whales had the largest mean CPA for detection distance compared to all other species groups. Detection distances for beaked whales were not significantly differences between full and silent operations; however, the sample size was very low. Overall results are consistent with other studies indicating that marine mammals may avoid exposure to airgun sounds based on observed distance from the seismic source during specified source activities. There was geographic variability in sighting rates associated with specific areas of interest within the GOM. This study demonstrates that agency required PSO reports provide a robust and useful data set applicable to impact assessments; management, policy and regulatory decision making; and qualitative input for regional scientific, stock assessment and abundance studies. However, several improvements in content and consistency would facilitate finer-scale analysis of some topics (e.g., effort associated with specific activities, observer biases, sound field estimation) and support statistical comparisons that could provide further insight into marine mammal responses and mitigation efficacy.

Expert review of the science underlying nature-based climate solutions

AbstractViable nature-based climate solutions (NbCS) are needed to achieve climate goals expressed in international agreements like the Paris Accord. Many NbCS pathways have strong scientific foundations and can deliver meaningful climate benefits but effective mitigation is undermined by pathways with less scientific certainty. Here we couple an extensive literature review with an expert elicitation on 43 pathways and find that at present the most used pathways, such as tropical forest conservation, have a solid scientific basis for mitigation. However, the experts suggested that some pathways, many with carbon credit eligibility and market activity, remain uncertain in terms of their climate mitigation efficacy. Sources of uncertainty include incomplete GHG measurement and accounting. We recommend focusing on resolving those uncertainties before broadly scaling implementation of those pathways in quantitative emission or sequestration mitigation plans. If appropriate, those pathways should be supported for their cobenefits, such as biodiversity and food security.

Reversible characterization of power generation and steam electrolysis for protonic ceramic cells with bi-layer electrolyte of BaZr0.8Yb0.2O3-δ and BaZr0.1Ce0.7Y0.1Yb0.1O3-δ

This work presents the reversible operation between fuel cell and steam electrolysis modes in a protonic ceramic cell (PCC) with a bi-layer electrolyte structure composed of BaZr0.8Yb0.2O3-δ and BaZr0.1Ce0.7Y0.1Yb0.1O3-δ. PCC using the bi-layer electrolyte demonstrated a slightly less leakage current and an improved performance than other samples using only BaZr0.8Yb0.2O3-δ electrolyte. In the fuel cell mode, the cell exhibited the maximum power density of 0.61 W cm−2 at 600 °C. Meanwhile, in steam electrolysis mode at 600 °C, the cell showed a current density of 0.94 A cm−2 and a Faraday efficiency 46% when operating in thermoneutral voltage. However, when evaluated in steam electrolysis mode at 600 °C with a current density of 0.6 A cm−2 for 250 h, it was confirmed that the air electrode had deteriorated, causing a decrease in Faraday efficiency from 46% to 25% after 250 h of operation, indicating a degradation in the efficacy of leak current mitigation during extended operating conditions. After 250 h operating a distribution of relaxation times analysis revealed a characteristic peak at low frequencies that could be associated with variation in the ionic transference number of the electrolyte after long-term operation.

Efficacy of virtual purification-based error mitigation on quantum metrology

Efficacy of virtual purification-based error mitigation on quantum metrology

Assessment of Nutritional Potential and Methane Mitigation Efficacy of Napier Grass Cultivars

Napier grass is cultivated as a high-yielding forage crop and widely utilized in the nutrition of grazing animals such as cattle and goats due to its rapid growth rate, expansive leaf surface, and ability to thrive even in low-quality soils, making it a valuable animal feed option. In this study, the chemical compositions, in vitro gas (GP) and methane (CH4) production, metabolizable energy (ME), organic matter digestibility (OMD), true digestible dry matter (TDDM), microbial protein (MP), partitioning factor (PF), microbial protein synthesis efficiency (MPSE, and relative feed values (RFV) of the grasses Packhong1 (Penisetum purpureum x Penisetum americanum), Chinese Pennisetum (Penisetum purpureum x Penisetum alopecurides), and Dwarf Elephant (Pennisetum purpureum cv. Mott) were investigated. Significant differences were found in the chemical contents of napier varieties used in the study (p

Modeling and performance analysis of emergency response process for hydrogen leakage and explosion accidents

To address concerns associated with the initial response process following hydrogen refueling station leakage and explosion accidents, this research introduces the utilization of stochastic colored Petri nets for dynamic modeling of the emergency response procedure. Through the construction of a process model for responding to hydrogen leakage and explosion accidents at refueling stations, the model's effectiveness is assessed using an Isomorphic Markov chain (MC) analysis approach, followed by simulation and analysis of the emergency response procedure. Furthermore, the performance of the emergency process in managing hydrogen leakage and explosion accidents at refueling stations is evaluated, considering place occupancy probabilities and transition utilization probabilities. By optimizing the timing of transitions, critical stages in the process for handling hydrogen leakage and explosion accidents at hydrogen refueling stations are identified, and recommendations for process enhancement are proposed. The findings reveal that continuous hydrogen leakage conditions and the phase involving the summoning of rescue personnel are prone to information congestion. The timely arrival of the on-site manager and the prompt reporting of incident details emerge as pivotal actions within the emergency response process for hydrogen refueling station leakage and combustion incidents. These actions wield substantial influence over the efficacy of emergency response and mitigation, underscoring their significance as primary areas for improvement.

Shifts in the incidence of shark bites and efficacy of beach-focussed mitigation in Australia

Shark-human interactions are some of the most pervasive human-wildlife conflicts, and their frequencies are increasing globally. New South Wales (Australia) was the first to implement a broad-scale program of shark-bite mitigation in 1937 using shark nets, which expanded in the late 2010s to include non-lethal measures. Using 196 unprovoked shark-human interactions recorded in New South Wales since 1900, we show that bites shifted from being predominantly on swimmers to 79 % on surfers by the 1980s and increased 2–4-fold. We could not detect differences in the interaction rate at netted versus non-netted beaches since the 2000s, partly because of low incidence and high variance. Although shark-human interactions continued to occur at beaches with tagged-shark listening stations, there were no interactions while SMART drumlines and/or drones were deployed. Our effect-size analyses show that a small increase in the difference between mitigated and non-mitigated beaches could indicate reductions in shark-human interactions. Area-based protection alone is insufficient to reduce shark-human interactions, so we propose a new, globally transferable approach to minimise risk of shark bite more effectively.

Portable Air Purifiers’ Predicted Efficacy in Mitigating Airborne Pathogen Transmission in an Office Room Featuring Mixing Ventilation

Portable air purifiers have been extensively used to improve indoor air quality and mitigate the transmission of airborne diseases. However, the efficacy of mitigation is strongly affected by the interactions between jet flows of processed air from the air purifiers and the background airflows driven by the ventilation system. Critical factors in this context include the position and capacity of air purifiers and the ventilation rate of the heating ventilation and air-conditioning (HVAC) system. These factors are investigated in this study via computational fluid dynamics (CFD) simulations and the infection probability for different scenarios is quantified using the latest airborne infection predictive model incorporating recent pathological and clinical data for SARS-CoV-2. The results show that the use of air purifiers can significantly reduce the concentration of particulate matter, thus contributing to a generally lower risk of airborne transmission. However, the position of air purifiers affects their overall efficacy remarkably. Comparatively, a central HVAC system is more efficient at removing airborne particles under an equivalent ventilation rate assuming it uses a mixing ventilation scheme.