Reduction Measures Research Articles

Exploring insulation levels to enable low-temperature heating in selected buildings in two European climate zones

This study assesses the readiness of selected building types for low-temperature heating. This is accomplished by comprehensively analyzing buildings from two perspectives: first, by determining the level of insulation required for buildings to connect to 4th Generation District Heating, and second, by identifying techno-economically viable solutions to achieve these insulation levels.The authors used OpenStudio to thoroughly examine buildings’ thermal response when the heating supply temperature is reduced from 80 to 45 °C without changing radiators. Under these conditions, the aim was to determine whether the living areas inside the buildings could be maintained at 20 °C throughout the year. Starting from a baseline with no additional insulation and old windows, the study increases the intensity of the renovation packages to assess the minimum requirements needed to maintain the desired 20 °C in the heated areas. An economic feasibility study of the solutions proposed was also conducted. A sensitivity analysis was also performed, adding insight into the impact of energy prices on renovation measures.Eight buildings, encompassing a mix of actual structures and representative archetypes derived from the TABULA project, were examined across two different European climate zones. This study found that unrenovated buildings are particularly unready for low-temperature heating and will struggle to maintain 20 °C, especially during winter. Hence, this study delivers recommendations regarding insulation and heat demand reduction measures necessary to maintain appropriate comfort.The conclusions emphasize the necessity of renovating the building stock based on geographical location to guarantee appropriate indoor comfort when reducing the supply temperature for high-temperature radiators.

Technical and economic feasibility study on reducing CO2 emissions of Dutch beam trawlers

This paper examines the technical and economic influence of CO2 reduction measures on the design and operation of Dutch beam trawlers. This is done by means of a parametric model used to assess the influence on the overall design of the vessel. Technical feasibility is determined by meeting operational effectiveness requirements, maximum added draught, maximum added length, and a reduction of CO2 emission by at least 40%. Secondly the model evaluates the new energy carrier and fish storage layout as a result of additional required volume. Additional volume is gained within the net store, fish hold, or by hull extension. Additionally, various propeller configurations, waste heat recovery, and regenerative braking systems are explored to reduce energy consumption. The economic performance is assessed using yearly operational requirements, capital expenses of configuration, and total cost of ownership.

Mapping the risk reduction benefits of coral reef conservation – Hawaiʻi case study

Effective disaster risk reduction measures are vital to coastal communities around the world. While nature-based solutions provide coastal communities with a promising alternative to traditional engineering-based solutions; these solutions are often overlooked by communities when planning and implementing disaster risk reduction measures. This study builds upon the literature that demonstrates the effectiveness of coral reef conservation to mitigate coastal flood risk. Our approach utilizes freely available tools and data to quantify the economic value of coral reef conservation for the Hawaiian Islands. We explore a scenario that depicts coastal flooding if the upper 1 m of the coral reef were to be lost. The study analyzes the Average Annual Loss (AAL) and losses avoided based on a series of 4 coastal flood scenario return periods with and without coral reefs. This case study finds that the preservation of the upper 1 m of coral reefs for the main islands of Hawaiʻi provides the state with $629 million in annual losses avoided to buildings. A hot spot analysis of the losses avoided identifies areas where conservation efforts could be prioritized. Our findings provide additional support to the use of nature-based solutions as an effective disaster risk reduction measure, and provides communities and stakeholders with a methodology that can be implemented using readily available data and tools.

Spatial-Temporal Patterns and Driving Factors of Logistics Carbon Emissions: Case Study of Yangtze River Delta in China

With the growing dependence of human beings on the logistics industry, the trend of logistics carbon emissions (LCEs) growth has become much more serious. To investigate the spatial-temporal pattern of LCEs as well as their driving factors, city-scale LCEs were calculated by combining them with nighttime light remote sensing data. In addition, a spatial panel data model was applied in the case of China’s Yangtze River Delta. The results showed that the overall LCEs performed as a rising trend during 2010–2019. The LCEs of the eastern cities and provincial capitals were significantly higher than those of other cities with obvious spatial agglomerations. For driving factors, the gross domestic product, population size, and proportion of tertiary industry all had significant positive influences on the LCEs. Overall, this study is of great practical significance to accurately obtain information on the spatial-temporal dynamics of LCEs at the city-level scale, so as to facilitate the differentiated implementation of carbon reduction measures.

Retention rate of vagus nerve stimulation for the treatment of drug-resistant epilepsy: A single-centre, retrospective study.

The aim of this single-centre, retrospective, observational study was to evaluate long-term effectiveness of vagus nerve stimulation (VNS) in drug-resistant epilepsy (DRE) by using retention rate as a surrogate measure for seizure reduction. We included all patients with DRE, treated at the adult neurology department of the University Hospitals Leuven and who started VNS therapy from January 1, 1994, until May 1, 2021, with follow-up data cutoff on January 1, 2023. Retention rate of VNS was defined as the percentage of patients who maintain VNS at established time points. We estimated cumulative retention rate and battery replacement rate and correlated these with seizure reduction, using Kaplan-Meier analysis. Statistical analysis of potential predictors of VNS outcome (age, sex and epilepsy duration at implantation) was performed using mono- and multivariate analyses. VNS was started in 110 patients with DRE, with a mean follow-up of 8.7 years (SD 6.5). VNS was discontinued in 55 patients (50%), with ineffectiveness as the main reason for discontinuation (98%). The battery was replaced at least once in 42 patients (38%). Estimated retention rates were 70%, 52%, 45% and 33% after 5, 10, 15 and 20 years, respectively. Estimated first battery replacement rates were 16%, 42% and 47% after 5, 10 and 15 years, respectively. Both estimates showed a statistically significant correlation with seizure reduction. No independent predictors of long-term outcome of VNS were found. This is the first long-term study using retention rate of VNS to assess effectiveness. VNS is a well-tolerated therapy, but retention rates decline with long follow-up.

Analyzing greenhouse gas emissions and influencing factors of 247 actual wastewater treatment plants in China using emission factor and operational data integrated methods (ODIM).

In response to China's policies on pollution control and carbon emission (CE) reductions, more stringent regulations have been implemented to evaluate CE in wastewater treatment facilities. In this study, we have analyzed CE from China's wastewater treatment plants (WWTPs) and influencing factor. Emission factor (EF) and operational data integrated methods (ODIM) were utilized to measure emissions, using data collected from 247 WWTPs over a 1-year period across seven regions in China. The average CE intensity was 0.45 kgCO2-eq/m3, affected by region, season, influent water quality, treatment processes, effluent discharge standards, and facilities. The scale effect was obvious only in the range of 2 × 105 m3/day. Underground WWTPs exhibited significantly higher CE compared to aboveground WWTPs. In summary, the assessment of CE in 247 actual WWTPs not only identifies emission reduction potential but also provides a scientific basis for formulating targeted emission reduction measures.

Methane emissions from the natural gas industry in China – A systematically accounting based on the bottom-up approach

The comprehensive and meticulous assessment of methane (CH4) emissions stemming from the natural gas industry stands as an imperative endeavor in steering the natural gas industry toward a trajectory of low-carbon sustainability. This study has meticulously constructed detailed facility-level inventories for CH4 emissions within China's natural gas industry and used a bottom-up approach to fully account for both direct and indirect CH4 emissions. The findings reveal a notable increase in CH4 emissions within the natural gas industry in China, rising from 2.04 Mt in 2012 to 3.94 Mt in 2021. Regionally, Shaanxi, Sichuan, and Xinjiang emerged as the primary emission contributors in 2020, signifying a shift from northeastern and northern China to northwestern and southwestern regions during the 2012–2020 period. The fluctuations in emissions, both overall and regionally, closely align with the evolving landscape of China's natural gas sector. Projections for future CH4 emissions indicate a continued upward trajectory in tandem with industry growth. Consequently, the study emphasizes the urgency of implementing emission reduction measures in China's natural gas industry. Timely intervention is crucial to ensuring the orderly progression of the industry while effectively curbing the associated CH4 emissions.

Defining plastic pollution hotspots

Plastic pollution in the natural environment poses a growing threat to ecosystems and human health, prompting urgent needs for monitoring, prevention and clean-up measures, and new policies. To effectively prioritize resource allocation and mitigation strategies, it is key to identify and define plastic hotspots. UNEP's draft global agreement on plastic pollution mandates prioritizing hotspots, suggesting a potential need for a defined term. Yet, the delineation of hotspots varies considerably across plastic pollution studies, and a definition is often lacking or inconsistent without a clear purpose and boundaries of the term. In this paper, we applied four common definitions of hotspot locations to plastic pollution datasets ranging from urban areas to a global scale. Our findings reveal that these hotspot definitions encompass between 0.8 % to 93.3 % of the total plastic pollution, covering <0.1 % to 50.3 % of the total locations. Given this wide range of results and the possibility of temporal inconsistency in hotspots, we emphasize the need for fit-for-purpose criteria and a unified approach to defining plastic hotspots. Therefore, we designed a step-wise framework to define hotspots by determining the purpose, units, spatial scale, temporal scale, and threshold values. Incorporating these steps in research and policymaking yields a harmonized definition of hotspots, facilitating the development of effective plastic pollution prevention and reduction measures.

Study on Sulfide Ore Dust Dispersion and Dust Reduction Measures Based on Simulation

Sulfide ore dust is at risk of explosion. To analyze the concentration distribution of sulfide ore dust in the ore loading, transporting, and unloading operations, the migration and dispersion processes of sulfide ore dust were simulated by using FLUENT software and taking the dust generation rate, roadway air velocity, and dust source position as variables. The concentration of sulfide ore dust was analyzed from the four-dimensional perspective of time and space. The results show that the maximum concentration of sulfide ore dust is determined by the dust generation rate. The roadway air velocity exhibits dual effects on the migration and deposition of sulfide ore dust. The ore loading position significantly impacts the distribution of sulfide ore dust, manifesting in varying degrees of superposition effects. Based on the results, this paper proposes a comprehensive dust reduction measure in the form of water curtain and dynamic ventilation, effectively minimizing the concentration of sulfide mine dust within the roadway.

Double-edged sword: Does strong creditor protection in the bankruptcy process affect firm productivity

Using data from Chinese A-share listed firms from 2015 to 2022, a difference-in-differences model is employed to empirically examine the impact of bankruptcy regimes, marked by the establishment of the bankruptcy court, on firms' total factor productivity (TFP). The results show a significant decline in TFP among firms in regions following the establishment of the bankruptcy court. This result remains valid after a series of robustness tests. Mechanism tests reveal that bankruptcy court heightens firms' risk aversion by endowing excessive rights to creditors. Consequently, firms tend to downwardly adjust capital structure, curtail innovation investment, and accumulate liquid assets as coping measures, ultimately contributing to a decline in TFP. However, well-developed market mechanisms can alleviate the negative impact of bankruptcy court excessively protecting creditors. Specifically, when firms are located in regions with weak government intervention and strong financial development, as well as in market environments with low uncertainty and strong competition, this negative impact can be mitigated. Moreover, we find that under bankruptcy court operations, while a series of risk reduction measures taken by firms triggers a decline in TFP, it mitigates financial distress. These findings provide fresh insights into the dual nature of creditor protection and offer valuable references for governments to improve the bankruptcy legal system.

Seismic and vibration control of segmented isolation layer in underground structure-diaphragm wall system

In this paper, a seismic and vibration reduction measure of subway station is developed by setting a segmented isolation layer between the sidewall of structure and the diaphragm wall. The segmented isolation layer consists of a rigid layer and a flexible layer. The rigid layer is installed at the joint section between the structural sidewall and slab, and the flexible layer is installed at the remaining sections. A diaphragm wall-segmented isolation layer-subway station structure system is constructed. Seismic and vibration control performance of the diaphragm wall-segmented isolation layer-subway station structure system is evaluated by the detailed numerical analysis. Firstly, a three-dimensional nonlinear time-history analysis is carried out to study the seismic response of the station structure by considering the effect of different earthquake motions and stiffness of segmented isolation layer. Subsequently, the vibration response of site under training loading is also studied by considering the influence of different train velocities and stiffness of the segmented isolation layer. Numerical results demonstrate that the diaphragm wall-segmented isolation layer-subway station structure system can not only effectively reduce the lateral deformation of station structure, but also reduce the tensile damage of the roof slab. On the other hand, the developed reduction measure can also significantly reduce the vertical peak displacements of site under training loading.

West Nile virus surveillance using sentinel birds: results of eleven years of testing in corvids in a region of northern Italy.

The natural transmission cycle of West Nile virus (WNV) involves birds as primary hosts and mosquitoes as vectors, but this virus can spread to mammals, human beings included. Asymptomatic infected donors pose a risk to the safety of blood transfusions and organ transplants, as WNV can be transmitted through these medical procedures. Since 2009, the region of Emilia-Romagna in northern Italy has been implementing an integrated surveillance system in order to detect WNV circulation in the environment at an early stage. Here we report the results of the two components of the surveillance system, the active testing of corvids and humans, and demonstrate that bird surveillance alone improves a surveillance system based solely on human case detection. As WNV risk reduction measures are applied on a provincial basis, we assessed the ability of this surveillance system component to detect virus circulation prior to the notification of the first human case for each province. Overall, 99 epidemic seasons were evaluated as a result of 11 years (2013-2023) of surveillance in the nine provinces of the region. In this period, 22,314 corvids were tested for WNV and 642 (2.9%) were found to be infected. WNV was generally first detected in birds in July, with sample prevalence peaks occurring between August and September. During the same period, 469 autochthonous human cases were notified, about 60% of which were reported in August. WNV was detected 79 times out of the 99 seasons considered. The virus was notified in birds 73 times (92.4%) and 60 times (75.9%) in humans. WNV was first or only notified in birds in 57 seasons (72.1%), while it was first or only notified in humans in 22 seasons (27.8%). Active surveillance in corvids generally allows the detection of WNV before the onset of human cases. Failure of virus detection occurred mainly in seasons where the number of birds tested was low. Our results show that active testing of a minimum of 3.8 corvids per 100 km2 provides a satisfactory timeliness in the virus detection, but for early detection of WNV it is crucial to test birds between mid-June and mid-August.

Newly Constructed Subway on Over-Track Bridge Safety and Vibration Reduction Measure

Primarily generated at the interface between the wheel and the rail, railroad vibrations then propagate through the supporting soil. If these vibrations reach nearby bridges and buildings, they amplify the vibration nuisance and cause ground noise, which has detrimental effects on nearby residents, sensitive equipment, and historic structures. By analyzing measured data from metro vibration field vibration experiments, this article attempts to contribute to the body of knowledge on environmental vibration propagation patterns by offering insightful conclusions. Before analyzing the deformation response of the metro jet system (MJS) vibration isolation piles to the structure and the ground, we investigated the effect of MJS vibration isolation piles in the ground of the existing subway tunnel structure on the control of vibration of the proximate structure and conducted dynamic tests on the vibration of bridges without vibration isolation measures caused by operating subway trains. The tests determined that the acceleration of the bridge’s lateral vibration exceeded the code limit; one of the contributing factors was that the bridge’s structure had already sustained damage. The utilization of MJS isolation piles was also discovered to safeguard the extant bridge pile foundations. The paper presents an innovation in the form of economically viable vibration mitigation strategies that were implemented subsequent to the identification that the lateral vibration acceleration of the preexisting bridge surpassed the prescribed code standards. Considerable insight is gained regarding the design and implementation of vibration control systems for structures situated near caverns, encompassing deep foundation works.

Urban Resilience Index for Critical Infrastructure: A Scenario-Based Approach to Disaster Risk Reduction in Road Networks

Floods pose a significant threat to road networks globally, disrupting transportation, isolating communities, and causing economic losses. This study proposes a four-stage methodology (avoidance, endurance, recovery, and adaptability) to enhance the resilience of road networks. We combine analysis of constructed assets and asset system performance with multiple disaster scenarios (Reactive Flood Response, Proactive Resilience Planning, and Early Warning Systems). Advanced flood Geospatial-AI models and open data sources pinpoint high-risk zones affecting crucial routes. The study investigates how resilient assets and infrastructure scenarios improve outcomes within Urban Resilience Index (CRI) planning, integrating performance metrics with cost–benefit analysis to identify effective and economically viable solutions. A case study on the Lisbon Road network subjected to flood risk analyzes the effectiveness and efficiency of these scenarios, through loss and gain cost analysis. Scenario 2, Proactive Resilience Planning, demonstrates a 7.6% increase compared to Scenario 1, Reactive Flood Response, and a 3.5% increase compared to Scenario 3, Early Warning Systems Implementation. By considering asset performance, risk optimization, and cost, the study supports resilient infrastructure strategies that minimize economic impacts, while enabling communities to withstand and recover from flood events. Integrating performance and cost–benefit analysis ensures the sustainability and feasibility of risk reduction measures.

AN ASSESSMENT OF PESTICIDE POISONING INCIDENCES PRESENTED AT HEALTH CARE FACILITIES IN MASHONALAND CENTRAL PROVINCE, ZIMBABWE

Acute Pesticide Poisoning (APP) is a significant problem in developing countries, causing loss of productivity and fatalities in the agricultural sector. However, limited information on the connection between pesticide use, APP, and deaths in Zimbabwe is available. This study aimed to evaluate incidents that resulted in APP and identify the specific pesticides that caused them at Health Care Facilities (HCFs) in Mashonaland Central Province. Researchers conducted a survey asking standardized questions to gather information on APP cases from 93 HCFs. Descriptive statistics and chi-square association tests for APP cases in the targeted HCFs were calculated using IBM SPSS version 22. The study found that 43% of APP cases were due to pesticides belonging to the World Health Organization (WHO) class II acute toxicity category, while 26.1% were caused by Highly Hazardous Pesticides (HHPs). Most of the cases were due to intentional poisoning (87.1%), with the majority (55.9%) of APP incidents being males. The highest APP cases were recorded in the 21-30 age group (38.8%), followed by the 31-40 age group (32.8%). These results emphasize the significant impact of intentional poisoning by WHO class II type pesticides, particularly HHPs, on the incidence of APP in Zimbabwe. To mitigate the impact of HHPs on human health, it is recommended that the government of Zimbabwe consider pesticide risk reduction measures, such as stricter pesticide registration criteria, import restrictions, and the promotion of less toxic alternatives. These findings highlight the urgent need for policymakers, researchers, and other stakeholders in the agricultural sector to work collaboratively towards creating a safer and more sustainable farming environment in Zimbabwe.

Analysis of Factors Influencing Driver Yielding Behavior at Midblock Crosswalks on Urban Arterial Roads in Thailand

Globally, road traffic collisions cause over a million deaths annually, with pedestrians accounting for 23%. In developing countries, most pedestrian deaths occur on urban arterial roads, particularly at midblock crossings. This study analyzes the factors influencing driver yielding behavior at midblock crosswalks on urban arterial roads in Thailand. This study analyzed the factors influencing driver yielding behavior at the midblock crosswalk before and after the upgrade from a zebra crossing (C1) to a smart pedestrian crossing (C2), which is a smart traffic signal detecting and controlling pedestrians and vehicles entering the crosswalk. Video-based observations were used to assess driver yielding behavior, with multinomial logistic regression applied to develop driver yielding behavior models. The results revealed that the chances of a driver yielding at C2 were higher than at C1, and the yielding rate increased by 74%. The models indicate that the number and width of traffic lanes, width and length of crosswalks, vulnerable group, number of pedestrians, pedestrian crossing time, number of vehicles, vehicle speed, headway, post-encroachment time between a vehicle and pedestrian, and roadside parking are the significant factors influencing yielding behavior. These findings propose measures to set proper crosswalk improvements (e.g., curb extensions), speed reduction measures, enforcement (e.g., parking restrictions), public awareness campaigns, and education initiatives.

Examining the Content of Disaster-Related Information Disseminated to a Migrant Population

Many local governments, especially in Japan, disseminate multilingual disaster-related information to migrants as part of their disaster education programs to make their disaster risk reduction (DRR) policies more inclusive. However, little is known about the specific content of the information disseminated through such programs and how or why that content is selected. Using an example case of Okayama Prefecture in Japan and its principal city, Okayama City, the current study identifies the content of multilingual disaster-related information, as well as the assumptions behind its selection. To this end, the content of multilingual disaster-related information disseminated by these local governments was inductively analyzed, focusing on (1) what is and is not communicated, (2) how the government views the migrant population, and (3) their goals of information dissemination targeting migrants. As a result of conducting a qualitative content analysis on information disseminated by the Okayama local governments via information booklets and a YouTube video, it was found that the content was largely concerned with calling migrants to be proactive in taking preventive and harm reduction measures, as well as acquiring prerequisite knowledge (e.g., about disasters and their management). The underlying assumptions and expectations behind this content (e.g., how a behavioral change occurs and self-sufficiency as an expectation in disaster preparedness) are discussed, as well as issues associated with these assumptions.

Quantitative risk assessment of gas leakage and explosion in open kitchens and partitioned kitchens

ABSTRACT In recent years, natural gas companies have faced more and more gas supply applications for open kitchens in China. However, natural gas cannot be utilized in open kitchens according to the current compulsory regulations. The numerical models for three typical open kitchen layouts and the corresponding partition kitchen layouts were developed, respectively. The experimental setup of gas leakage and explosion, like a residential kitchen, was established based on the similarity theory. The accuracy and reliability of numerical models have been validated by three sets of experiments. An innovative quantitative risk assessment method was proposed to quantify the integrated risks for the open kitchen layout and the partition kitchen layout. The effectiveness of the proposed risk reduction measures was assessed using a modified LOPA (i.e. Layer Of Protection Analysis). The results show that the integrated risk for the open kitchen layout in different apartments is 1.37 ~ 4.65 times than that for the partition kitchen layouts. The integrated risk of gas leakage explosion in three open kitchen layout arrangements was reduced by 94.8%, 50%, and 94.5%, respectively, by setting two layers of protection. Meanwhile, the increased expense of ¥400 can be generally acceptable for the majority of residential users. The achievements could provide theoretical and technological guidance for gas safety supply in open kitchens.

Safety considerations for hydrometallurgical metal recovery from lithium‐ion batteries

AbstractThis paper presents a comprehensive overview of the critical process safety considerations inherent in hydrometallurgical metal recovery within the lithium‐ion battery (LiB) recycling process. As hydrometallurgy application in LiB recycling is still in the early stages of development, it is crucial to identify the hazards and provide safety recommendations. Hazards related to hydrometallurgy are identified and categorized in process, toxic, fire, explosion, corrosion, environment, storage, and transport hazards. Risk reduction measures are suggested using the hierarchy of control methodology to eliminate and reduce risks to as low as reasonably practicable (ALARP), based on UK regulatory framework.

Long-term evolution of carbonaceous aerosols in PM2.5 during over a decade of atmospheric pollution outbreaks and control in polluted central China

Against the backdrop of an uncertain evolution of carbonaceous aerosols in polluted areas over the long term amid air pollution control measures, this 11-year study (2011–2021) investigated fine particulate matter (PM2.5) and carbonaceous components in polluted central China. Organic carbon (OC) and elemental carbon (EC) averaged 16.5 and 3.4 μg/m3, constituting 16 and 3 % of PM2.5 mass. Carbonaceous aerosols dominated PM2.5 (35 and 27 %) during periods of excellent and good air quality, while polluted days witnessed other components as dominants, with a significant decrease in primary organic aerosols and increased secondary pollution. From 2011 to 2021, OC and EC decreased by 53 and 76 %, displaying a high-value oscillation phase (2011–2015) and a low-value fluctuation phase (post-2016). A substantial reduction in high OC and EC concentrations in 2016 marked a milestone in significant air quality improvement attributed to effective control measures, especially targeting OC and EC, evident from their decreased proportion in PM2.5. Primary OC (POC) in winter exhibited the most pronounced reduction (8 % per year), and the seasonal disparities in PM2.5 and carbonaceous components were reduced, showcasing the effectiveness of control measures. Contrary to the more pronounced reduction of EC, which decreased in proportion to PM2.5, secondary OC (SOC) in PM2.5 exhibited an increasing trend. Along with rising OC/EC, SOC/OC, and SOC/EC ratios, this indicates a growing prominence of secondary pollution compared to the decrease in primary pollution. SOC shows an increasing trend with NO2 rise (r = 0.53), without O3 promoting SOC. Positive correlations of SOC with SO2, CO (r = 0.41, 0.59), also highlight their influence on atmospheric conditions, oxidative capacity, and chemical reactions, indirectly impacting SOC formation. The implementation of precise precursor emission reduction measures holds the key to future efforts in mitigating SOC pollution and reducing PM2.5 concentrations, thereby contributing to improved air quality.