Waste Management Bulletin最新文献_第7页

The green shift: harnessing leadership, HR, and culture for sustainable success 绿色转型：利用领导力、人力资源和文化实现可持续的成功

Waste Management Bulletin

Pub Date : 2025-06-08 DOI: 10.1016/j.wmb.2025.100220

Mohi ud Din , Muhammad Tanveer , Muhammad Faizan Khan

This study examines the influence of Green Transformation Leadership (GTL), Green Human Resource Practices (GHRP), and Green Culture (GC) on Environmental Sustainability (ES), with Employees’ Pro-Environmental Behavior (PEB) acting as a mediating variable. Data were collected from 358 employees across resource-intensive sectors including hospitals, transport, chemical industries, and tanneries in five major Pakistani cities. Structural Equation Modeling (SEM) was employed to evaluate the relationships among variables. Findings reveal that Green Culture exerts a strong direct and indirect impact on sustainability through PEB. GTL demonstrates the importance of leadership commitment, while GHRP enhances outcomes when integrated with cultural and leadership strategies. The R2 values indicate strong relationships between Green Transformation Leadership, Green HR Practices and Green Culture with Employees’ Pro-environmental Behavior and between these factors with Environmental Sustainability. These components together produce essential outcomes for promoting sustainable practices in organizations. The proposed model underscores the role of employee engagement in driving sustainability and offers practical recommendations for business leaders and policymakers. This study contributes to the sustainability literature by validating a holistic model and offering actionable insights for advancing green initiatives in emerging economies like Pakistan.

本研究以员工亲环境行为（PEB）为中介变量，考察绿色转型领导（GTL）、绿色人力资源实践（GHRP）和绿色文化（GC）对环境可持续性（ES）的影响。数据收集自巴基斯坦五个主要城市资源密集型行业的358名员工，包括医院、运输、化学工业和制革厂。采用结构方程模型（SEM）来评价变量之间的关系。研究结果表明，绿色文化通过PEB对可持续发展产生了强烈的直接和间接影响。GTL证明了领导承诺的重要性，而GHRP在与文化和领导战略相结合时可以提高结果。R2值表明，绿色转型领导、绿色人力资源实践和绿色文化与员工的亲环境行为之间以及这些因素与环境可持续性之间存在较强的关系。这些组成部分共同产生促进组织可持续实践的基本结果。该模型强调了员工参与在推动可持续发展中的作用，并为商业领袖和政策制定者提供了切实可行的建议。本研究通过验证整体模型并为巴基斯坦等新兴经济体推进绿色倡议提供可操作的见解，为可持续发展文献做出了贡献。

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引用次数: 0

Linking the type and origin of the solid wastes in ricefields: Implications in waste management 稻田固体废物的种类和来源的联系：对废物管理的影响

Waste Management Bulletin

Pub Date : 2025-06-04 DOI: 10.1016/j.wmb.2025.100221

Tandrima Sil , Gargi Nandy , Dipanwita Das , Himangshu Barman , Susobhan Datta Mudi , Gautam Aditya

The solid wastes are ubiquitous in terrestrial environment with marked abundance in human dominated systems. However, the solid wastes in rice fields have been less emphasized than the urban setting. Exploring solid wastes of rice fields provide an opportunity to highlight how unmanaged wastes can threaten biodiversity and agricultural productivity. The results of the present study will enable tracing the root cause for the solid wastes in the rice fields. A systematic sampling of the paddy rice cultivation fields revealed the presence of eight types of solid wastes with the dominance of the various forms of plastic material. These solid wastes could be linked with nine different sources of origin, with the dominance of the packaged food industry. A significant (P < 0.05) difference in the solid waste types and the sources could be portrayed through the bipartite network analysis. This approach provides a robust framework for tracing the origin of waste and targeting key sources for intervention. Information obtained through the present study will prove helpful in understanding the infiltration and establishment of the plastics and allied polymers in rice fields interfere with the structure and functions of the community assemblages. The plastic waste types and its multiple links provided evidence for the origin and possible entry into the rice field system. Information obtained through the present study will prove helpful in understanding the entry of the solid wastes in the ricefields and the respective management to sustain the environment and the productivity.

固体废物在陆地环境中普遍存在，在人类主导的系统中丰度显著。然而，稻田中的固体废物却没有城市环境那样受到重视。探索稻田固体废物提供了一个机会，以突出未经管理的废物如何威胁生物多样性和农业生产力。本研究的结果将有助于追踪稻田固体废物产生的根本原因。对稻田进行的系统采样显示，存在八种固体废物，其中各种形式的塑料材料占主导地位。这些固体废物与九种不同的来源有关，其中包装食品工业占主导地位。P <；0.05)，固体废物种类和来源的差异可以通过二部网络分析来描述。这种方法为追踪废物来源和针对关键来源进行干预提供了强有力的框架。通过本研究获得的信息将有助于了解塑料及其相关聚合物在稻田中的渗透和建立对群落组合结构和功能的干扰。塑料废弃物的种类及其多个环节为其来源和可能进入稻田系统提供了证据。通过本研究获得的信息将有助于了解稻田固体废物的进入和相应的管理，以维持环境和生产力。

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引用次数: 0

Water-Based and alternative extraction techniques for stilbenoids from grape cane: A comparative study 葡萄中二苯乙烯类化合物水基提取与替代提取技术的比较研究

Waste Management Bulletin

Pub Date : 2025-06-01 DOI: 10.1016/j.wmb.2025.100219

Wilfried Andlauer , Roméo Zuchuat , Ralf Schweiggert , Paul Besrukow

Grape cane is a viticultural byproduct rich in bioactive stilbenoids and other phenolic compounds. Valorization of grape cane relies on effective extraction methods, traditionally using ethanol. This study aimed to compare a series of extraction techniques, including an extraction based on various ethanol–water mixtures as well as water-based methods combined with ultrasound-assisted extraction and microwave-assisted extraction. In this study, water-based extraction led to stilbenoid extraction yields determined by HPLC-DAD analyses that were significantly lower, even when applying ultrasound (43 mg/kg grape cane), than those obtained with 80 % ethanol maceration (4373 mg/kg). Water-based extraction utilizing microwave heating at optimal conditions (100 °C, 20 min) allowed yields of about 555 mg/kg. The spectrophotometrically measured total phenolic content showed a similar trend, with the highest yield achieved at 100 °C for 20 min under microwave-assisted extraction (13 g GAE /kg), remaining notably lower compared to using 80 % ethanol (20 g GAE /kg). These findings highlight the potential of increased temperature water-based extraction methods but also underscore the need for further optimization. Future research should aim to refine these techniques and explore more advanced methods, such as subcritical or high-pressure water extraction, to enhance the valorization of grape cane and support its use in producing bioactive extracts.

甘蔗是葡萄栽培的副产品，富含生物活性二苯乙烯类化合物和其他酚类化合物。甘蔗的增值依赖于有效的提取方法，传统上使用乙醇。本研究的目的是比较一系列的提取技术，包括基于各种乙醇-水混合物的提取，以及水基方法结合超声辅助提取和微波辅助提取。在本研究中，水基提取导致通过HPLC-DAD分析确定的二苯乙烯类化合物的提取率显着低于80%乙醇浸渍（4373 mg/kg），即使使用超声波（43 mg/kg葡萄藤）。在最佳条件下（100°C， 20分钟），利用微波加热的水基提取可以得到约555 mg/kg。分光光度法测定的总酚含量也显示出类似的趋势，在微波辅助提取下，在100°C下，20 min的收率最高（13 g GAE /kg），与使用80%乙醇（20 g GAE /kg）相比，收率明显较低。这些发现突出了提高温度的水基提取方法的潜力，但也强调了进一步优化的必要性。未来的研究应致力于完善这些技术，并探索更先进的方法，如亚临界或高压水提取，以提高葡萄的价值，并支持其在生产生物活性提取物中的应用。

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引用次数: 0

Recovery of high reactive alkaline-earth-oxide (CaO and MgO) from reverse osmosis reject desalination brine: Kinetics, equilibrium, cost-effectiveness and energy-consumption 从反渗透污水淡化盐水中回收高活性碱-氧化土（CaO和MgO）：动力学、平衡、成本效益和能耗

Waste Management Bulletin

Pub Date : 2025-05-27 DOI: 10.1016/j.wmb.2025.100218

Fatima Zahra Karmil , Abderrahman Abbassi , Omar Mounkachi , Hanan El Alaoui-Belghiti , Sara Mountadar , Anouar Rich , Mohammed Mountadar

Reactive alkaline earth oxides (CaO and MgO) have recently received significant attention due to their low production costs, availability, and capacity for storing CO₂. This study examined the high content of bivalent ions (Ca²⁺ and Mg²⁺) in RO reject brine for producing reactive quicklime and magnesia via selective precipitation. Various precipitating agents were evaluated at various molar ratios to discuss the high purity and process efficiency. The oxalic acid dosage was evaluated at a molar ratio (C₂H₂O₄/Ca²⁺) of 2 which led to high recovery efficiency of calcium oxalate monohydrate (97.5 ± 0.5 %). The theoretical study using PhreeqCI3 via the Pitzer model was used to model the precipitation behavior at selected conditions. The alkaline caustic ash dosage was set at the molar ratio (NaOH/Mg²⁺) of 3, corresponding to the highest extent of precipitation of brucite (97 ± 0.5 %). Further, the calcination of the precipitated solids for 2 h at 900 °C and 500 °C produced the reactive quicklime and magnesia. The characterization of produced oxides at the optimized parameters was designated and discussed based on the composition, microstructure, and reactivity. The surface areas of the obtained oxides were 10.4 m²/g and 58.3 m²/g, respectively, according to the BET analysis. The energy consumption and production cost for generating high-purity oxides from desalination waste revealed that RO reject brine is an additional source for recovering alkaline earth oxides with high reactivities and allowed to minimize the environmental impacts resulting from desalination plants.

活性碱性土氧化物（CaO和MgO）由于其低生产成本、可用性和储存二氧化碳的能力，最近受到了广泛关注。研究了选择性沉淀法生产活性生石灰和氧化镁的反渗透废水中高含量的二价离子（Ca2+和Mg2+）。在不同的摩尔比下对不同的沉淀剂进行了评价，讨论了高纯度和工艺效率。在C2H2O4/Ca2+摩尔比为2的条件下，草酸投加量可获得较高的草酸一水合物钙回收率（97.5±0.5%）。利用PhreeqCI3的理论研究，通过Pitzer模型对选定条件下的降水行为进行了模拟。碱性碱灰的摩尔比（NaOH/Mg2+）为3时，水镁石的析出程度最高（97±0.5%）。此外，沉淀固体在900℃和500℃下煅烧2小时产生活性生石灰和氧化镁。从组成、微观结构和反应性等方面对优化后的氧化产物进行了表征。根据BET分析，得到的氧化物的表面积分别为10.4 m2/g和58.3 m2/g。从海水淡化废物中产生高纯度氧化物的能源消耗和生产成本表明，反渗透废水是回收具有高反应性的碱土氧化物的另一个来源，并且可以最大限度地减少海水淡化厂对环境的影响。

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引用次数: 0

Improved performance indicators and institutional setup for more viable compost production from municipal solid waste in Sri Lanka 改善斯里兰卡的绩效指标和机构设置，以便从城市固体废物中生产更可行的堆肥

Waste Management Bulletin

Pub Date : 2025-05-26 DOI: 10.1016/j.wmb.2025.100217

A. Manipura , P. Drechsel , H.M.L.C. Jayawardhana , R. Shanmugapriya , N.R. Mannapperuma , H.S.I. Jayatilleke

Managing municipal solid waste (MSW) is challenging for most local authorities (LAs), especially in urban and peri-urban areas due to increasing waste quantities and decreasing options for safe disposal. Many LAs around the world prefer composting organic waste as a means of waste volume (and transport cost) reduction and cost recovery option within a circular economy framework. To optimize compost production with a focus on cost recovery, a systematic study was conducted at 22 composting stations located in Sri Lanka’s highly populated Western Province. The study examined process management from organic waste collection to product quality and cost recovery via compost sales. Collected organic waste conversion into compost was varied between 1 % and 15 % and time taken for completion of the process varied between 2.5 – 4.5 months. No standard operating procedure was observed though input organic matter was of similar nature. Excess leachate and odour production reported by 59 % of the surveyed stations. Complete analysis of compost quality was hardly reported by any LAs and no sales and marketing strategies were adopted to boost the cost recovery. Poor data management has hindered the identification of improvement opportunities and performance benchmarking of composting stations run by LAs. To address these significant performance variations observed among the stations, a monitoring and evaluation framework is proposed based on four composite key performance indicators (KPIs): General Facility Management Index (GFMI), Composting Process Management Index (CPMI), Compost Quality Index (CQI), and Cost Recovery Index (CRI). These KPIs serve to benchmark performance and identify incremental improvement opportunities at each station. However, to address institutional and human capacity challenges an institutional partnership model is also proposed, which could incentivize the implementation and achievements of the KPIs while reducing the pressure on LAs to reach the compost market.

对于大多数地方当局来说，管理城市固体废物是一项挑战，特别是在城市和城郊地区，因为废物数量不断增加，而安全处置的选择却越来越少。在循环经济框架内，世界上许多国家更喜欢将有机废物堆肥作为减少废物量（和运输成本）和回收成本的一种方法。为了优化堆肥生产并注重成本回收，在斯里兰卡人口稠密的西部省的22个堆肥站进行了系统研究。该研究考察了从有机废物收集到产品质量和通过堆肥销售回收成本的过程管理。收集的有机废物转化为堆肥的比例在1%至15%之间，完成该过程所需的时间在2.5至4.5个月之间。虽然输入的有机物具有相似的性质，但没有观察到标准的操作程序。59%被调查的污水站报告产生过量的渗滤液和气味。堆肥质量的完整分析几乎没有任何LAs报告，也没有采取任何销售和营销策略来提高成本回收。数据管理不善，妨碍了确定由农业联盟管理的堆肥站的改进机会和绩效基准。为了解决这些显著的绩效差异，提出了一个基于综合设施管理指数（GFMI）、堆肥过程管理指数（CPMI）、堆肥质量指数（CQI）和成本回收指数（CRI）四个综合关键绩效指标（kpi）的监测和评估框架。这些kpi用于对性能进行基准测试，并确定每个站点的增量改进机会。然而，为了解决制度和人力能力方面的挑战，还提出了一种制度伙伴关系模式，该模式可以激励kpi的实施和成就，同时减少农业部门进入堆肥市场的压力。

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引用次数: 0

Data-driven strategies for household waste management through Policy, social Norms, and circular economy 通过政策、社会规范和循环经济实现家庭垃圾管理的数据驱动战略

Waste Management Bulletin

Pub Date : 2025-05-21 DOI: 10.1016/j.wmb.2025.100216

Pamon Pumas , Maliwan Puangmanee , Pimpawat Teeratitayangkul , Warangkana Sintuya , Chayakorn Pumas

This study examines the behavioral and social factors influencing household waste separation practices in Keelek Subdistrict Municipality, Chiang Mai Province, Thailand. Drawing on survey data and a mixed‐methods approach that integrates correlation analysis, principal component analysis, and a two‐stage machine‐learning pipeline—further validated by confirmatory structural equation modeling of Attitude → Intention → Behavior and mapped onto an established nudge taxonomy—the research identifies the most influential predictors of separation behavior. These include routine organic waste sorting, behavioral intention, emotional commitment, and the perceived influence of community members and local authorities. Among the tested models, Gradient Boosting Regression yielded the highest predictive accuracy (R² = 0.782; MAE = 0.331), underscoring its ability to capture complex non-linear behavioral patterns more effectively than traditional approaches. By uniting behavioral theory, community-derived insights, and predictive analytics, this work advances a novel, transferable framework for municipal planning. It offers practical, ESG/SDG–aligned strategies—such as habit-based, peer-supported nudges and AI-powered monitoring systems—that local governments can adopt to design evidence-based waste policies. Focusing on a semi-urban context often overlooked in the literature, this study fills a critical methodological gap and charts a replicable pathway for scaling behaviorally informed waste-management interventions.

本研究探讨了影响泰国清迈省基勒街道市生活垃圾分类做法的行为和社会因素。利用调查数据和混合方法，整合了相关分析、主成分分析和两阶段机器学习管道，并通过态度→意图→行为的验证性结构方程模型进一步验证，并映射到已建立的轻推分类法，该研究确定了分离行为最具影响力的预测因素。这些因素包括常规的有机废物分类、行为意向、情感承诺以及社区成员和地方当局的感知影响。在被检验的模型中，梯度增强回归的预测准确率最高(R2 = 0.782；MAE = 0.331)，强调了它比传统方法更有效地捕捉复杂的非线性行为模式的能力。通过结合行为理论、社区衍生的见解和预测分析，这项工作为市政规划提出了一个新颖的、可转移的框架。它提供了实用的、符合ESG/可持续发展目标的战略，例如基于习惯的、同行支持的推动和人工智能驱动的监测系统，地方政府可以采用这些战略来设计基于证据的废物政策。本研究关注文献中经常被忽视的半城市环境，填补了一个关键的方法空白，并为扩大行为知情的废物管理干预措施绘制了一条可复制的途径。

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引用次数: 0

Alternative food networks in supply Chains: A Biblio-metric analysis using RStudio and VOSViewer (1989–2024) 供应链中的替代食品网络：使用RStudio和VOSViewer的文献计量分析（1989-2024）

Waste Management Bulletin

Pub Date : 2025-05-17 DOI: 10.1016/j.wmb.2025.100215

Wang Xi , Zailani Suhaiza

Alternative Food Networks (AFNs) have gained growing attention for promoting sustainable food systems by addressing upstream food production, distribution, and waste reduction challenges. This study conducts a comprehensive bibliometric analysis of 830 peer-reviewed articles published between 1989 and 2024, retrieved from the Web of Science Core Collection. Utilizing VOSviewer and RStudio, the analysis maps the intellectual structure, thematic evolution, and global research dynamics of AFNs over the past three decades. The results reveal an average annual growth rate of 11.19%, with a sharp increase in publications after 2020, driven by heightened interest in resilient, local, and circular food systems. Co-word and cluster network analyses identify four major thematic domains: (1) local food and consumption patterns, (2) sustainability and environmental impacts, (3) governance, policy, and social justice, and (4) community participation and social innovation. Key theoretical frameworks underpinning the field include Actor-Network Theory, Convention Theory, and the Theory of Planned Behavior. This study distinguishes itself by framing AFNs as upstream system-level interventions with the potential to complement or substitute downstream technological approaches to waste management. It highlights AFNs’ unique contributions to reducing food loss and waste, strengthening local economies, and fostering inclusive development. The findings also reveal a research gap in the Global South, where AFNs could address food safety and local poverty. This review offers practical guidance for researchers and policymakers to advance AFNs’ research and design place-based, sustainable food governance strategies.

替代粮食网络（afn）通过解决上游粮食生产、分配和减少废物的挑战，促进可持续粮食系统，已获得越来越多的关注。本研究对1989年至2024年间发表的830篇同行评议文章进行了全面的文献计量分析，这些文章检索自Web of Science Core Collection。利用VOSviewer和RStudio，分析了过去三十年来afn的知识结构、主题演变和全球研究动态。结果显示，平均年增长率为11.19%，在2020年之后，由于对弹性、本地和循环粮食系统的兴趣增加，出版物急剧增加。共词和聚类网络分析确定了四个主要主题领域：(1)当地食物和消费模式；(2)可持续性和环境影响；(3)治理、政策和社会正义；(4)社区参与和社会创新。支撑该领域的主要理论框架包括行动者网络理论、约定理论和计划行为理论。本研究的特点是将afn作为上游系统级干预措施，具有补充或替代下游废物管理技术方法的潜力。它强调了afn在减少粮食损失和浪费、加强地方经济和促进包容性发展方面的独特贡献。研究结果还揭示了全球南方的一个研究缺口，在那里，AFNs可以解决食品安全和当地贫困问题。这一综述为研究人员和政策制定者推进afn的研究和设计基于地方的可持续食品治理战略提供了实用指导。

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引用次数: 0

Synthesis of activated carbon using pyrolytic degradation of multi plastic waste and its removal efficiency of dye 热解降解多种塑料垃圾合成活性炭及其对染料的去除率

Waste Management Bulletin

Pub Date : 2025-05-12 DOI: 10.1016/j.wmb.2025.100214

Sayan Mukherjee , Shashank Pal , Subhasis Ghosh , Sandipan Bhattacharya , Surajit Mondal , Papita Das

Malachite Green is a persistent pollutant, and it has been reported to cause many harmful health hazards for both humans and aquatic organisms. Growing use of plastic is posing a lot of problems and the most pertinent of which is perhaps the treatment of plastic waste. In the present work, plastic waste has been pyrolyzed, annealed and treated with sodium hydroxide to synthesize a char. Then this char has been used to remove the cationic dye Malachite Green from water and was observed highest removal of Malachite Green by the char was 99.3 %. From the thermodynamic study, it was observed that the value of Gibbs free energy was negative across all the temperature thereby denoting that the process was spontaneous. The process was optimized with an Artificial Neural Network system and from there it was observed that the Levenberg-Marquardt backpropagation model best optimized the experimental data. The char also exhibited high efficiency for the purpose of removing other cationic dyes and polyaromatic hydrocarbons, whereas showing a lower affinity for anionic dyes and pharmaceutical compounds.

孔雀石绿是一种持久性污染物，据报道对人类和水生生物造成许多有害的健康危害。塑料的日益使用带来了许多问题，其中最相关的问题可能是塑料废物的处理。在本工作中，对塑料垃圾进行了热解、退火和氢氧化钠处理，合成了一种炭。然后用该焦炭对水中阳离子染料孔雀石绿进行脱除，观察到该焦炭对孔雀石绿的去除率最高达99.3%。热力学研究发现，在整个温度范围内，吉布斯自由能均为负，表明反应是自发的。利用人工神经网络系统对该过程进行优化，并观察到Levenberg-Marquardt反向传播模型对实验数据的优化效果最好。该炭对其他阳离子染料和多芳烃的去除率较高，而对阴离子染料和药物化合物的去除率较低。

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引用次数: 0

Banana waste valorisation and the development of biodegradable biofilms 香蕉废弃物的再生利用及生物可降解生物膜的开发

Waste Management Bulletin

Pub Date : 2025-05-05 DOI: 10.1016/j.wmb.2025.100213

Sony Kumari , Rahel Debbarma , Munquad Habibi , Shakil Haque , Penna Suprasana

Bananas (Musa paradisiaca) are among the most important tropical and subtropical crops, playing a vital role in global nutrition, food security, and regional economies. However, their large-scale cultivation generates substantial biomass waste-including rhizomes, pseudostems, leaves, rachis, fruit-bunch-stems, and peels-which remains underutilized. This review addresses the growing research need to valorize banana agro-waste, particularly green bananas and peels, for the development of biodegradable biofilms as sustainable alternatives to plastic packaging. The novelty of this work lies in its focused examination of banana-derived biopolymers, such as starch and fibre, and their capacity to form eco-friendly, mechanically robust, and biodegradable films suitable for food preservation. In addition to packaging applications, the review explores the broader multifunctionality of banana plant components across textiles, medicine, and bio-based industries. By synthesizing current literature, this article presents a comprehensive overview of banana waste utilization for both economic and environmental sustainability. It also identifies existing research gaps and outlines future directions to optimize biofilm formulations and encourage holistic, waste-minimizing approaches in banana production. Ultimately, this review highlights the untapped potential of banana waste as a valuable resource for advancing circular bioeconomy and sustainable innovation.

香蕉（Musa paradisiaca）是最重要的热带和亚热带作物之一，在全球营养、粮食安全和区域经济中发挥着至关重要的作用。然而，它们的大规模种植产生了大量的生物质废物，包括根茎、假茎、叶、轴、果束茎和果皮，这些废物仍未得到充分利用。本文综述了日益增长的研究需求，即对香蕉农业废弃物，特别是青香蕉和香蕉皮进行价值评估，以开发可生物降解的生物膜，作为塑料包装的可持续替代品。这项工作的新颖之处在于它重点研究了香蕉衍生的生物聚合物，如淀粉和纤维，以及它们形成适合食品保存的生态友好、机械坚固和可生物降解薄膜的能力。除了包装应用外，该综述还探讨了香蕉植物成分在纺织、医药和生物基工业中的更广泛的多功能。本文在综合现有文献的基础上，对香蕉废弃物的经济和环境可持续性利用进行了综述。它还确定了现有的研究差距，并概述了优化生物膜配方和鼓励香蕉生产中采用整体的、尽量减少废物的方法的未来方向。最后，本综述强调了香蕉废物作为推进循环生物经济和可持续创新的宝贵资源的未开发潜力。

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引用次数: 0

Applications of machine learning algorithms on the compressive strength of laterite blocks made with metakaolin-based geopolymer and sugarcane molasses 机器学习算法在偏高岭土聚合物和甘蔗糖蜜制成红土块体抗压强度上的应用

Waste Management Bulletin

Pub Date : 2025-05-04 DOI: 10.1016/j.wmb.2025.100212

David Sinkhonde , Derrick Mirindi , Ismael Dabakuyo , Tajebe Bezabih , Destine Mashava , Frederic Mirindi

To refine the process of anticipating the structural integrity of laterite block components, the use of machine learning (ML) algorithms is required. This study initiates an exploration into forecasting the compressive strength of laterite blocks infused with metakaolin-based geopolymer (MKG) and sugarcane molasses (SM), utilizing machine learning techniques such as artificial neural networks (ANN), random forests (RF), decision trees (DT), and support vector machines (SVM). The models were developed using four input values, including the MKG, SM, laterite soil, and water, with compressive strength as the output. Results show that for all the models, the majority of the data points lie within the error lines range of −20 % and +20 %. Using the Taylor diagram model, the results demonstrate that the SVM (train) model achieves the highest performance in predicting the compressive strength of laterite blocks, with a correlation coefficient of 0.99 and the lowest root mean square error (RMSE) of 0.139. The correlation coefficient values (R) for training and testing algorithm models ranged between 0.65 and 0.99, implying that all models fairly predict the compressive strength of laterite blocks containing MKG and SM. The RF model emerges as an important model for generalization across training and testing phases, with R values of 0.9828 and 0.789, respectively. SHapley Additive exPlanations (SHAP) analysis assesses the model’s explainability behavior. According to a SHAP-based feature importance study, age (85.33 %) and water content (17.87 %) are critical components that may improve compressive strength compared to MKG (8.60 %) and SM (6.74 %), respectively. This study not only assists in comprehending the essential parameters necessary for making well-informed decisions but also opens exciting possibilities for the application of ML in fostering sustainable construction practices.

为了改进预测红土块构件结构完整性的过程，需要使用机器学习（ML）算法。本研究利用人工神经网络（ANN）、随机森林（RF）、决策树（DT）和支持向量机（SVM）等机器学习技术，对注入偏高岭土聚合物（MKG）和甘蔗糖蜜（SM）的红土块体的抗压强度进行了预测。模型采用MKG、SM、红土和水4个输入值，以抗压强度为输出。结果表明，对于所有模型，大多数数据点位于- 20%和+ 20%的误差线范围内。利用Taylor图模型，结果表明，SVM （train）模型对红土块体抗压强度的预测效果最好，相关系数为0.99，均方根误差（RMSE）最低，为0.139。训练和测试算法模型的相关系数(R)在0.65 ~ 0.99之间，说明所有模型都能较好地预测含MKG和SM红土块体的抗压强度。RF模型是跨训练阶段和测试阶段泛化的重要模型，R值分别为0.9828和0.789。SHapley加性解释（SHAP）分析评估模型的可解释性行为。根据基于shap的特征重要性研究，与MKG（8.60%）和SM（6.74%）相比，年龄（85.33%）和含水量（17.87%）是可能提高抗压强度的关键成分。这项研究不仅有助于理解做出明智决策所需的基本参数，而且为ML在促进可持续建筑实践中的应用开辟了令人兴奋的可能性。

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