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Constructing an AQHI as a health risk communication tool for Bangkok, Thailand 构建空气质量健康指数,作为泰国曼谷的健康风险交流工具
Q2 Environmental Science Pub Date : 2024-08-01 DOI: 10.1016/j.envc.2024.100991

In this study, we established an air quality health index (AQHI) based on the associations between multiple air pollutants and respiratory and cardiovascular outpatient department (OPD) visits to communicate the health risks from air pollution in Bangkok, Thailand. The associations between various air pollutants, namely, suspended particulate matter (PM) with an aerodynamic diameter smaller than 2.5 µm and 10 µm (PM2.5 and PM10, respectively), sulphur dioxide (SO2), and ozone (O3) and the number of OPD visits for respiratory and cardiovascular diseases in Bangkok from 2016 to 2019 were assessed using generalised additive models with a Poisson link function. Significant associations were established between most cases of cardiovascular and respiratory diseases and these pollutants with a lag time of 0–7 days. The total excess risk was calculated to construct the AQHI, which was then adjusted to an arbitrary scale and banded into four groups based on the calculated score, where 1–3, 4–6, 7–10, and 10+ represented low risk, moderate risk, high risk, and very high risk, respectively. We found that the AQHI captured both high and very high risk levels during the day for most stations. The constructed AQHI also recorded a greater number of high and very high risk days than the currently used AQI but fewer than the WHO-based AQI. Our findings suggest that the AQHI can capture the combined effects of multiple air pollutants, which makes it an effective tool for communicating air pollution-related health risks.

在这项研究中,我们根据多种空气污染物与呼吸道和心血管门诊部(OPD)就诊人次之间的关联建立了空气质量健康指数(AQHI),以传达泰国曼谷空气污染带来的健康风险。采用具有泊松链接函数的广义相加模型,评估了各种空气污染物,即空气动力学直径小于 2.5 µm 和 10 µm 的悬浮颗粒物(PM)(分别为 PM2.5 和 PM10)、二氧化硫(SO2)和臭氧(O3)与 2016 年至 2019 年曼谷呼吸系统和心血管疾病门诊量之间的关系。结果表明,大多数心血管疾病和呼吸系统疾病病例与这些污染物之间存在显著关联,关联滞后时间为 0-7 天。计算总超额风险后得出空气质量健康指数(AQHI),然后将其调整为任意比例,并根据计算出的分数将其分为四组,其中 1-3、4-6、7-10 和 10+ 分别代表低风险、中度风险、高风险和极高风险。我们发现,大多数站点的空气质量健康指数都能捕捉到白天的高风险和极高风险水平。与目前使用的空气质量指数相比,构建的空气质量健康指数也记录了更多的高风险和极高风险天数,但少于基于世界卫生组织的空气质量指数。我们的研究结果表明,空气质量健康指数可以捕捉多种空气污染物的综合影响,这使其成为传达空气污染相关健康风险的有效工具。
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引用次数: 0
Water quality management in a tropical karstic system influenced by land use in Chiapas, Mexico 墨西哥恰帕斯州受土地利用影响的热带喀斯特系统的水质管理
Q2 Environmental Science Pub Date : 2024-08-01 DOI: 10.1016/j.envc.2024.100981

Urbanization and agricultural activities are increasingly threatening karstic systems and the water resources they provide, which are crucial for the livelihood of rural communities. Over the past decade, the Río Grande de Comitán-Lagos de Montebello (RGC-LM) watershed in Chiapas, Mexico, has experienced significant deterioration in water quality. The objective of this study was to analyze the water quality dynamics within the RGC-LM watershed and their potential interaction with land use change. We conducted assessments of the physicochemical and microbiological parameters across the lotic and lentic systems within the watershed over eight monitoring campaigns (from 2013 to 2020). Cluster Analysis (CA) and Principal Component Analysis (PCA) statistical approaches were performed to identify the main drivers of surface water quality variability. This approach aims to enhance water quality assessments within environmental management strategies, with the goal of promoting sustainable land-use practices aimed at protecting and improving water resources within the watershed. Our findings indicate that there is a substantial difference between the upper and lower watershed water quality. The good water quality conditions observed in the higher altitude lakes (mountain lakes) can be attributed to favorable topographical features, specific land use patterns, and effective conservation measures. In contrast, the lotic system in the middle watershed and the lentic water bodies located at lower altitudes (plain lakes) exhibit signs of water quality degradation due to inefficient wastewater treatment and agricultural runoff. This study highlights the importance of implementing adequate environmental management strategies to address these water quality challenges effectively. Given the pressing issue of water quality degradation in karstic environments, we emphasize on the need for increased monitoring frequency of both physicochemical and microbiological parameters to capture seasonal variations and to further understand the vulnerability of water resources in karstic environments. Future assessment of nutrient concentrations, pesticide levels, and blue-green algae populations will also be crucial for evaluating the trophic state at a watershed scale.

城市化和农业活动正日益威胁着岩溶系统及其提供的水资源,而这些对农村社区的生计至关重要。在过去的十年中,墨西哥恰帕斯州的科米坦-拉戈斯-蒙特贝罗河流域(RGC-LM)的水质严重恶化。本研究旨在分析 RGC-LM 流域内的水质动态及其与土地利用变化之间的潜在相互作用。我们通过八次监测活动(从 2013 年到 2020 年)对流域内的地层和湖泊系统的物理化学和微生物参数进行了评估。我们采用聚类分析(CA)和主成分分析(PCA)统计方法来确定地表水水质变化的主要驱动因素。这种方法旨在加强环境管理战略中的水质评估,目的是推广可持续的土地使用方法,以保护和改善流域内的水资源。我们的研究结果表明,流域上游和下游的水质存在很大差异。在海拔较高的湖泊(山地湖泊)中观察到的良好水质条件可归因于有利的地形特征、特定的土地利用模式和有效的保护措施。相比之下,由于废水处理效率低下和农业径流的影响,流域中部的湖泊系统和海拔较低的湖泊(平原湖泊)出现了水质恶化的迹象。这项研究强调了实施适当的环境管理策略以有效解决这些水质挑战的重要性。鉴于喀斯特环境中水质退化问题的紧迫性,我们强调有必要增加物理化学和微生物参数的监测频率,以捕捉季节性变化,进一步了解喀斯特环境中水资源的脆弱性。未来对营养物浓度、农药水平和蓝绿藻种群的评估对于评价流域范围内的营养状态也至关重要。
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引用次数: 0
National innovation systems and sustainable environmental performance: A cross country analysis 国家创新体系与可持续环境绩效:跨国分析
Q2 Environmental Science Pub Date : 2024-08-01 DOI: 10.1016/j.envc.2024.100978

This research seeks to understand the role of national innovation systems (NIS) in addressing countries’ environmental performance, namely their environmental health, ecosystem vitality, and climate change. The role played by NIS in these societal challenges was tested in 130 countries through cross-sectional models using the updated data from 2022/2021. The major findings of this research revealed that NIS contribute insignificantly to the attainment of meaningful environmental goals, such as enhancing ecosystem vitality or mitigating climate change. Despite making a positive impact towards protecting the population from environmental risks, NIS urgently need to make a paradigm shift towards environmental sustainability.

本研究旨在了解国家创新体系(NIS)在解决国家环境绩效(即环境健康、生态系统活力和气候变化)方面的作用。利用 2022/2021 年的最新数据,通过横截面模型对 130 个国家的国家创新体系在应对这些社会挑战方面发挥的作用进行了测试。这项研究的主要发现表明,国家创新系统对实现有意义的环境目标(如增强生态系统活力或减缓气候变化)的贡献微乎其微。尽管国家创新系统对保护民众免受环境风险产生了积极影响,但亟需向环境可持续性模式转变。
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引用次数: 0
Assessing the rate of soil loss and sediment Yeild from Tullu Gana Watershed in Horo Guduru Wollega Zone, Ethiopia 评估埃塞俄比亚 Horo Guduru Wollega 区 Tullu Gana 流域的土壤流失率和沉积物 Yeild
Q2 Environmental Science Pub Date : 2024-08-01 DOI: 10.1016/j.envc.2024.100993

The two main issues facing Ethiopia's highlands are soil erosion and sedimentation. The purpose of this study was to evaluate the rate of soil loss and sediment yields in the Tullu Gana Watershed in the northwestern region of Ethiopia over the previous three decades (1990–2021). To create Rainfall Erosivity, Soil Erodibility, Slope Length and Steepness, Cover Management, and Conservation Practices, input data sets including rainfall, soil, Digital Elevation Model, land use, and land cover were utilized. Once more, the drainage area was used to determine the sediment delivery ratio. The RUSLE model and GIS were integrated in this study. The average soil loss rate was 1.01 tons ha−1 yr−1 in 1990, according to the results, but it increased to 43.80 tons ha−1 yr−1, 45.18 tons ha−1 yr−1, and 46.43 tons ha−1 yr−1 in 2000, 2010 and 2021, respectively. Between 1990, 2000, and 2010 to 2021, the average sediment yield in the study area increased from 0.19 tons ha−1yr−1, 8.41 tons ha−1yr−1, and 8.67 tons ha−1yr−1 to 20.61 tons ha−1yr−1, respectively. Over the past three decades, there has been an increase in agricultural land, plantations, and settlement, according to the results of changes in land cover. Grazing land, open forests, and shrub land, on the other hand, decreased during that time. In addition, the research area was divided into six sub-watersheds, with the aim of prioritizing them for conservation planning in the future, based on the average rate of soil loss. Among the six crucial sub watersheds, Sw2, Sw4, Sw5, and Sw6 were classified as having extremely high severity, while Sw1 was classified as having low severity. In general, determining erosion-prone areas and implementing sustainable land management depend on an understanding of the quantity of soil loss and sediment yield and the mapping of its distribution. These results are intended to assist decision-makers to prepare reliable plans for managing soil erosion while taking identified priority classes and hotspot areas into account.

埃塞俄比亚高原地区面临的两大问题是土壤侵蚀和泥沙沉积。本研究的目的是评估埃塞俄比亚西北部地区图卢加纳流域过去三十年(1990-2021 年)的土壤流失率和泥沙产量。为了创建降雨侵蚀率、土壤可侵蚀性、坡长和坡度、覆盖管理和保护措施,利用了包括降雨、土壤、数字高程模型、土地利用和土地覆盖在内的输入数据集。此外,还利用排水面积来确定沉积物输送比。本研究将 RUSLE 模型和地理信息系统结合在一起。结果显示,1990 年的平均土壤流失率为 1.01 吨/公顷-年-1,而 2000 年、2010 年和 2021 年分别增加到 43.80 吨/公顷-年-1、45.18 吨/公顷-年-1 和 46.43 吨/公顷-年-1。1990 年、2000 年、2010 年至 2021 年期间,研究区域的平均泥沙产量分别从 0.19 吨/公顷-1 年-1、8.41 吨/公顷-1 年-1 和 8.67 吨/公顷-1 年-1 增加到 20.61 吨/公顷-1 年-1。根据土地覆被变化的结果,在过去 30 年中,农田、种植园和定居点有所增加。而放牧地、疏林和灌木林地则在此期间有所减少。此外,研究区域被划分为六个次级流域,目的是根据平均土壤流失率,确定这些流域在未来保护规划中的优先次序。在这六个重要的次级流域中,Sw2、Sw4、Sw5 和 Sw6 被划分为严重程度极高的流域,而 Sw1 被划分为严重程度较低的流域。总体而言,确定水土流失易发区和实施可持续土地管理取决于对土壤流失量和沉积物产量的了解及其分布图的绘制。这些结果旨在帮助决策者制定可靠的水土流失治理计划,同时考虑到已确定的优先等级和热点地区。
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引用次数: 0
Investigation of models predicting NOx level in the sample region and the use of intelligent transportation system 调查样本地区氮氧化物水平预测模型和智能交通系统的使用情况
Q2 Environmental Science Pub Date : 2024-08-01 DOI: 10.1016/j.envc.2024.100990

Artificial intelligence (AI), unlike natural intelligence, possesses the ability to problem-solving activities by machines. As AI-based models increasingly provide robust approaches to predicting air pollution, they are becoming more widespread. Intelligent transportation systems (ITS) are poised to be significant solutions for sustainable mobility. These systems, by appropriately enhancing mobility, will prevent the concentration of air pollution in a region through transportation. This study aims to examine AI-based models used in air pollution prediction and demonstrate the effectiveness of intelligent transportation systems in improving transportation-related air pollution. As a sample region, Kocaeli Province, which has highly polluted air, the amounts of transportation-related NOx pollutants emitted from light and heavy vehicles passing through the Dilovası district were modeled using Adaptive Neuro-Fuzzy (ANFIS) and Artificial Neural Networks (ANN). The results were compared with the outputs of the Calculations of Emissions from Road Transport (COPERT4) program. The evaluations revealed that ANFIS performed better in modeling NOx pollutants. Based on the prediction results, in case of exceeding the NOx limit, an intelligent transportation system redirecting vehicles to alternative routes was suggested. For the use of this system, scenarios proposing the redirection of cars in varying proportions, including single-plate, double-plate, and light vehicles, depending on route redirection, were proposed and evaluated. The evaluation of scenario results showed that redirecting a large number of cars to alternative routes with the assistance of ITS resulted in a significant decrease in emissions.

人工智能(AI)不同于自然智能,它拥有机器解决问题的能力。随着基于人工智能的模型越来越多地为预测空气污染提供可靠的方法,它们正变得越来越普遍。智能交通系统(ITS)有望成为可持续交通的重要解决方案。这些系统通过适当提高流动性,将通过交通防止空气污染在一个地区的集中。本研究旨在研究空气污染预测中使用的基于人工智能的模型,并证明智能交通系统在改善与交通相关的空气污染方面的有效性。以空气污染严重的科贾埃利省为样本地区,使用自适应神经模糊(ANFIS)和人工神经网络(ANN)对通过 Dilovası 区的轻型和重型车辆排放的与交通相关的氮氧化物污染物数量进行了建模。结果与道路运输排放计算程序(COPERT4)的输出结果进行了比较。评估结果显示,ANFIS 在氮氧化物污染物建模方面表现更好。根据预测结果,在氮氧化物超标的情况下,建议使用智能交通系统,将车辆引导至替代路线。为使用该系统,提出并评估了根据路线改道情况,按不同比例(包括单牌车、双牌车和轻型车)改道的方案。对方案结果的评估表明,在智能交通系统的协助下,将大量汽车改道至替代路线可显著减少排放量。
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引用次数: 0
Beyond the backyard: Scaling up of resistance to wind power in Sweden 后院之外:瑞典风力发电阻力的扩大
Q2 Environmental Science Pub Date : 2024-08-01 DOI: 10.1016/j.envc.2024.100987

Since 2009, when a municipal veto right was established, wind power in Sweden has become intensely politicised and questioned. Having been considered the key technology to drive the energy system transition by all parliamentary parties before 2010, the 2022 elections brought into power a government that promised an end to the “steel forests of wind turbines”. Based on a comprehensive analysis of media coverage of wind power conflicts on national and local levels, the study explains these developments as a discursive struggle. It shows how localised and fragmented resistance groups evolved into generalised opposition to wind power per se. These shifts are explained as enabled by political, legal and discursive opportunity structures.

The study shows how political, legal and discursive opportunities allow for the scaling up of localised resistance to wind power. It explains wind power resistance as embedded in socio-political structures by analysing the relationship between resistance claims on different institutional and geographic scales. While previous research has identified a need to look beyond formal planning processes and at wider sociopolitical contexts to understand the formation of wind power resistance, there is a lack of comprehensive, longitudinal studies of how local resistance shift scales into national resistance. We provide a theoretically informed and empirically grounded analysis of a national case of growing wind power resistance. By showing the speed with which a counter discourse was able to shift scales and gain an entrenched position in Swedish energy politics, the paper enables an understanding of similar developments around Europe.

自 2009 年确立市政否决权以来,瑞典的风力发电就开始受到强烈的政治化质疑。2010 年之前,议会所有党派都认为风能是推动能源系统转型的关键技术,而 2022 年的大选则让政府上台执政,并承诺终结 "风力涡轮机的钢铁森林"。基于对国家和地方层面风电冲突的媒体报道的全面分析,本研究将这些事态发展解释为一场话语斗争。它展示了局部和分散的抵抗团体是如何演变成普遍反对风力发电本身的。这些转变是由政治、法律和话语机会结构促成的。该研究通过分析不同机构和地理范围的抵制主张之间的关系,解释了风电抵制是如何嵌入社会政治结构的。以往的研究发现,要理解风电阻力的形成,需要超越正式的规划过程,并关注更广泛的社会政治背景,但目前还缺乏对地方阻力如何转变为全国阻力的全面纵向研究。我们对风电阻力不断增长的全国性案例进行了有理论依据和经验基础的分析。通过展示一种反驳言论能够迅速转变规模并在瑞典能源政治中获得稳固地位的过程,本文有助于了解欧洲各地类似的发展情况。
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引用次数: 0
Investigating a connectedness between green innovation and ocean health performance in Vietnam 调查越南绿色创新与海洋健康绩效之间的关联性
Q2 Environmental Science Pub Date : 2024-07-14 DOI: 10.1016/j.envc.2024.100982

The blue economy (BE) development has recently grown in importance, but scholars have kept silent on their determinants, especially in developing countries. This article focuses on the role of green innovation (EI). Utilizing the R2 decomposed linkage method, our investigation aims to delineate connections, particularly differentiating between contemporaneous and lagged linkages. This innovative approach is employed to examine the return transmission mechanism among the Ocean Health Index (OHI), green innovation (EI), nonrenewable energy (NONRENEW), and CO2 emissions (CO2). The dynamic total linkage, subject to temporal variation, is contingent on economic events. Our findings emphasize the heightened influence of lagged linkage prevailing over contemporaneous linkage for all four variables. As observed before 2019, ocean health was acknowledged for its prominent role as a net receiver. Subsequently, ocean health was recognized as a net receiver in contemporaneous dynamics, while its significant impact as a net transmitter in lagged linkage persisted. The results have important policy implications for governments in promoting the use of green innovation to enhance blue health performance in Vietnam.

近来,蓝色经济(BE)发展的重要性与日俱增,但学者们却对其决定因素保持沉默,尤其是在发展中国家。本文重点关注绿色创新(EI)的作用。利用 R2 分解联系法,我们的调查旨在界定联系,特别是区分同期联系和滞后联系。我们采用这种创新方法来研究海洋健康指数(OHI)、绿色创新(EI)、不可再生能源(NONRENEW)和二氧化碳排放(CO2)之间的回报传导机制。动态总联系受时间变化的影响,取决于经济事件。我们的研究结果表明,对所有四个变量而言,滞后联系的影响高于同期联系。正如 2019 年之前所观察到的,海洋健康作为净接收者的突出作用得到了认可。随后,海洋健康在同期动态中被认为是净接收者,而在滞后联系中作为净发送者的重要影响持续存在。这些结果对越南政府促进利用绿色创新提高蓝色健康绩效具有重要的政策意义。
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引用次数: 0
An assessment of ground subsidence from rock salt mining in Maceió (Northeast Brazil) from 2019 to 2023 using remotely sensed data 利用遥感数据评估 2019 至 2023 年马塞约(巴西东北部)岩盐开采造成的地面沉降情况
Q2 Environmental Science Pub Date : 2024-07-14 DOI: 10.1016/j.envc.2024.100983

This study investigates ground subsidence in Maceió, the capital of Alagoas, Brazil, utilizing Sentinel-1 Synthetic Aperture Radar (SAR) data from November 2019 to December 2023. Ground subsidence poses significant risks to urban infrastructure and requires comprehensive monitoring and mitigation strategies. We employed the Interferometric Wide Swath (IW) mode of Sentinel-1A, acquiring high-resolution data in descending orbit with VV polarization. Through interferometric processing, including co-registration, phase unwrapping, and coherence estimation, we produced detailed subsidence maps for key neighborhoods such as Bebedouro, Farol, Mutange, Pinheiro, and Bom Parto. Our results reveal that subsidence in Maceió is highly variable across different neighborhoods, with cumulative subsidence reaching up to 3.83 meters in the most affected areas. The Bebedouro neighborhood, for instance, experienced subsidence up to 0.33 meters over an area of 41.85 hectares, while Farol saw significant ground movement impacting 59.49 hectares. The analysis indicates that high-density urban areas are particularly susceptible to subsidence, correlating with increased structural damage and flood vulnerability. The study underscores the importance of integrating geotechnical, urban planning, and environmental management strategies to address subsidence. We recommend the implementation of adaptive urban planning measures and enhanced monitoring techniques using satellite data to mitigate the impact of subsidence on infrastructure and communities. These findings provide a critical foundation for developing resilient urban environments in coastal cities prone to geological and anthropogenic subsidence.

本研究利用哨兵-1 号合成孔径雷达 (SAR) 的数据,调查了 2019 年 11 月至 2023 年 12 月期间巴西阿拉戈斯州首府马塞约的地面沉降情况。地面沉降对城市基础设施构成重大风险,需要全面的监测和缓解策略。我们采用了 Sentinel-1A 的干涉测量宽扫描模式 (IW),在 VV 偏振的下降轨道上获取高分辨率数据。通过干涉测量处理,包括共配准、相位解包和相干性估算,我们绘制了贝贝杜罗、法罗、穆坦盖、皮涅罗和邦帕托等主要街区的详细沉降图。我们的研究结果表明,马塞约不同街区的沉降差异很大,受影响最严重地区的累计沉降高达 3.83 米。例如,Bebedouro 社区在 41.85 公顷的面积上出现了 0.33 米的沉降,而 Farol 则出现了显著的地面移动,影响面积达 59.49 公顷。分析表明,高密度城市地区特别容易受到地表沉降的影响,这与结构性破坏和洪水脆弱性增加有关。这项研究强调了整合岩土工程、城市规划和环境管理策略以解决沉降问题的重要性。我们建议实施适应性城市规划措施,并利用卫星数据加强监测技术,以减轻沉降对基础设施和社区的影响。这些发现为在易受地质和人为沉降影响的沿海城市发展弹性城市环境奠定了重要基础。
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引用次数: 0
Building information modeling (BIM) driven performance-based construction for the optimization of sustainable and smart structures development 建筑信息模型(BIM)驱动的基于性能的施工,优化可持续和智能结构的发展
Q2 Environmental Science Pub Date : 2024-07-10 DOI: 10.1016/j.envc.2024.100980

Given the escalating apprehensions regarding climate change and environmental risks, the construction industry is confronted with the crucial task of guaranteeing the enduring structural robustness of buildings. Building Information Modeling (BIM) has emerged as an innovative tool to tackle these challenges effectively and enhance the performance of building structures processes by developing intelligent and sustainable structures. A comprehensive methodology was utilized to assess the relationships between the BIM factors and their impacts on smart and sustainable structure development by conducting a literature overview, quantitative analysis, exploratory factorial analysis (EFA), structural equation modeling (SEM), and predictive relevance findings. The findings show positive correlations between the implementation of BIM and the elements integral to smart and sustainable structure development. This study investigates the effects of BIM-driven environmental risk assessment, BIM-enabled energy efficiency, environmental performance, climate change adaptation strategies with BIM, and real-time monitoring and maintenance on the effectiveness of smart and sustainable structures development. The BIM-driven environmental risk assessment significantly impacts the sustainable and smart structures development with B = 0.360, followed by the real-time monitoring and maintenance with BIM with 0.316. This study provides the contemporary knowledge base by providing insights into BIM's transformative abilities in shifting sustainable and smart construction practices. The outcomes offer widespread insights to enterprise specialists interested in enhancing task effects and organizing sustainable and environmentally aware built surroundings. The growing popularity of BIM has implications for the future growth of the construction industry in phrases of ecologically smart and sustainable structure development.

鉴于对气候变化和环境风险的担忧不断升级,建筑业面临着保证建筑物结构持久坚固的重要任务。建筑信息模型(BIM)已成为一种创新工具,可有效地应对这些挑战,并通过开发智能和可持续的结构来提高建筑结构过程的性能。通过文献综述、定量分析、探索性因子分析(EFA)、结构方程建模(SEM)和预测相关性研究结果,采用综合方法评估了 BIM 因素之间的关系及其对智能和可持续结构发展的影响。研究结果表明,BIM 的实施与智能和可持续结构发展不可或缺的要素之间存在正相关关系。本研究调查了 BIM 驱动的环境风险评估、BIM 支持的能源效率、环境性能、BIM 适应气候变化战略以及实时监控和维护对智能和可持续结构发展效果的影响。BIM 驱动的环境风险评估(B=0.360)对可持续智能结构发展有显著影响,其次是 BIM 的实时监测和维护(B=0.316)。本研究通过深入分析 BIM 在转变可持续和智能建筑实践方面的变革能力,提供了当代知识基础。研究结果为有志于提高任务效果和组织可持续环保建筑环境的企业专家提供了广泛的见解。从生态智能和可持续结构发展的角度来看,BIM 的日益普及对建筑行业的未来发展具有重要意义。
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引用次数: 0
A comprehensive review on the distribution of per- and poly-fluoroalkyl substances in the environment across Sub-Saharan Africa revealed significant variation in their concentrations 对撒哈拉以南非洲环境中全氟化烃和多氟化烃物质分布情况的全面审查显示,这些物质的浓度差异很大
Q2 Environmental Science Pub Date : 2024-07-06 DOI: 10.1016/j.envc.2024.100975
Hildegard R. Kasambala , Mwemezi J. Rwiza , Nelson Mpumi , Mwema Felix Mwema , Revocatus Machunda , Kelvin Mtei , Karoli N. Njau

Per- and polyfluoroalkyl substances (PFAS) are a group of synthetic chemicals known for their widespread use in various industrial and consumer products. They enter the food chain via contaminated water, air, and soil, resulting in bioaccumulation in plants, fishes, foods, human milk, and blood serum. Here, we critically reviewed the literature published from 2005 to 2021 on the occurrence and distribution of Perfluorooctanoic acid (PFOA) and perfluoro-octane sulfonate (PFOS) as the most occurring PFAS in the aquatic environment in sub-Saharan Africa (SSA). To our knowledge, this is the first paper to review the status of PFAS in the SSA environment. This review found that almost all matrices studied in SSA regions have been polluted by PFAS with varying concentrations. This information suggests that the levels of PFAS in the environment deserve immediate attention. Furthermore, SSA faces unique challenges in understanding and managing PFAS contamination due to the scarcity of data in specific regions and the need for more administrative guidelines for monitoring PFAS in water. This review provides vital baseline information on the occurrences, distribution and contributing factors for their distribution in the SSA environment for better understanding to protect the environment and public health, and to develop sustainable solutions for the PFAS growing concern.

全氟烷基和多氟烷基物质(PFAS)是一组合成化学品,因广泛用于各种工业和消费品而闻名。它们通过受污染的水、空气和土壤进入食物链,导致在植物、鱼类、食物、母乳和血清中的生物累积。在此,我们对 2005 年至 2021 年发表的有关撒哈拉以南非洲(SSA)水生环境中出现最多的全氟辛酸(PFOA)和全氟辛烷磺酸(PFOS)的发生和分布情况的文献进行了批判性回顾。据我们所知,这是第一篇回顾撒哈拉以南非洲环境中 PFAS 现状的论文。综述发现,撒哈拉以南非洲地区研究的几乎所有基质都受到了不同浓度的 PFAS 污染。这些信息表明,环境中的 PFAS 含量值得立即关注。此外,由于缺乏特定地区的数据,以及需要制定更多监测水中 PFAS 的管理准则,因此 SSA 在了解和管理 PFAS 污染方面面临着独特的挑战。本次审查提供了有关 SSA 环境中 PFAS 的发生、分布及其成因的重要基线信息,以便更好地了解如何保护环境和公众健康,并为日益令人担忧的 PFAS 问题制定可持续的解决方案。
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Environmental Challenges
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