Results in Engineering最新文献

A PRISMA-guided systematic review of MICP and EICP in clayey soils: Mineralogy-aware mechanisms, injection control, and multi-scale performance synthesis 基于prisma的黏性土壤MICP和EICP系统综述：矿物学感知机制、注入控制和多尺度性能综合

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2026-01-28 DOI: 10.1016/j.rineng.2026.109337

Devi Oktaviana Latif , Willis Diana , Welem Daga , Arwan Apriyono

This study conducts a PRISMA-guided systematic review of Microbially Induced Calcite Precipitation (MICP) and Enzyme-Induced Calcite Precipitation (EICP) for improving the mechanical and hydraulic performance of clayey soils. The review synthesizes 37 peer-reviewed studies published between 2020 and 2025, evaluating relationships among microbial activity, chemical parameters, injection techniques, and soil mineralogy. Findings indicate that MICP generally yields higher unconfined compressive strength and lower permeability than EICP due to more efficient bacterial nucleation and calcite bonding. Controlled injection and electro-osmotic delivery enhance calcium carbonate uniformity, while extended curing promotes crystal densification and strength development. The addition of nano-SiO₂ and hybrid lime–MICP systems further refines microstructure and increases durability. Microstructural analyses using SEM, EDS, and XRD confirm rhombohedral calcite formation bridging clay particles, linking microscopic bonding with macroscopic strength gains. Key influencing factors include urea–Ca²⁺ balance, curing duration, and clay mineralogy. Identified limitations involve non-uniform precipitation, bacterial inactivity, and salinity inhibition, which can be mitigated through staged feeding, optimized ionic strength, and adaptive field protocols. Integrating sustainability assessment through Multi-Criteria Decision Analysis (MCDA) provides a framework for balancing performance, environmental impact, and cost efficiency. Overall, this review establishes mineralogy-aware and process-controlled bio-cementation as a scalable, sustainable alternative to traditional soil stabilization for fine-grained and low-permeability soils.

本研究以prisma为指导，系统综述了微生物诱导方解石降水（MICP）和酶诱导方解石降水（EICP）对改善粘性土力学和水力性能的作用。该综述综合了2020年至2025年间发表的37项同行评议研究，评估了微生物活动、化学参数、注射技术和土壤矿物学之间的关系。研究结果表明，由于更有效的细菌成核和方解石结合，MICP通常比EICP具有更高的无侧限抗压强度和更低的渗透率。控制注入和电渗透输送增强碳酸钙均匀性，延长固化时间促进晶体致密化和强度发展。纳米二氧化硅和混合石灰- micp系统的加入进一步细化了微观结构，提高了耐久性。通过SEM、EDS和XRD的微观结构分析，证实方解石形成的方解石是菱形的，桥接粘土颗粒，将微观结合与宏观强度增加联系起来。关键影响因素包括脲钙+平衡、固化时间和粘土矿物。确定的限制包括不均匀沉淀、细菌不活性和盐度抑制，可以通过分阶段进料、优化离子强度和自适应现场协议来缓解。通过多准则决策分析（MCDA）整合可持续性评估为平衡绩效、环境影响和成本效率提供了一个框架。总的来说，这篇综述建立了矿物学感知和过程控制的生物胶结作为一种可扩展的，可持续的替代传统土壤稳定的细粒和低渗透土壤。

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引用次数: 0

The progress of broadband metasurface absorber: A bibliometric and visualization analysis based on CiteSpace 宽频带超表面吸收器研究进展：基于CiteSpace的文献计量与可视化分析

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2026-01-27 DOI: 10.1016/j.rineng.2026.109302

Xin Li , Qiushi Li , Liang Wu , Jianquan Yao , Zongcheng Xu

A broadband metasurface absorber is an artificial structural device capable of efficiently absorbing electromagnetic waves over a wide frequency range. In the terahertz band, it can convert the absorbed electromagnetic wave energy into electrical energy for powering micro-nano devices. In the microwave band, it serves as a core component of stealth materials. This article primarily employs bibliometric statistical methods to study the progress of broadband metasurface absorbers. Through analysis, it reveals the research hotspots, interdisciplinary characteristics, and technological evolution paths in the field of broadband metasurface absorbers. The design of broadband absorbers focuses on multi-physical field coupling and dynamic regulation, with the application of new materials emerging as a research hotspot. Bibliometric analysis provides a quantitative basis for identifying technological gaps and predicting development trends.

宽带超表面吸收器是一种能够有效吸收宽频率范围内电磁波的人工结构装置。在太赫兹波段，它可以将吸收的电磁波能量转化为电能，为微纳米器件供电。在微波波段，它是隐身材料的核心部件。本文主要采用文献计量统计方法研究宽带超表面吸收剂的研究进展。通过分析，揭示了宽带超表面吸收材料领域的研究热点、跨学科特点和技术演进路径。宽带吸波器的设计注重多物理场耦合和动态调节，新材料的应用成为研究热点。文献计量分析为确定技术差距和预测发展趋势提供了定量基础。

引用次数: 0

The impact of the internet of things on corporate sustainability in the Industry 4.0 era: A systematic literature review 工业4.0时代物联网对企业可持续发展的影响：系统文献综述

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2026-01-27 DOI: 10.1016/j.rineng.2026.109304

Marco Antonio Díaz Martínez , Reina Verónica Román Salinas , Rocío del Carmen Vargas Castilleja , Mario Alberto Morales Rodriguez , Gabriela Cervantes Zubirias , Yadira Aracely Fuentes Rubio , Jose Roberto Grande Ramirez , Vania Irais González Rubín

The digital transformation driven by Industry 4.0 has profoundly changed the way organizations approach sustainability and operational efficiency. Technologies such as the Internet of Things (IoT), Big Data, Machine Learning (ML), Artificial Intelligence (AI) and Cloud Computing have fostered the transition towards more responsible production and management models. These innovations not only enable real-time, data-driven decision-making, but also optimize resource use, reduce waste, and improve energy efficiency. By anticipating failures, minimizing unplanned maintenance, and refining processes, organizations strengthen a more resilient, competitive, and environmentally responsible management model. They also promote safer and healthier work environments, contributing to social well-being as an essential component of sustainable development. This study conducts a systematic literature review following the PRISMA 2020 guidelines, with the analysis of more than 45 peer-reviewed articles published between 2015 and 2025. The search was carried out in the Web of Science (WoS) database using Boolean algorithms to identify the most relevant and recent contributions. From this analysis, a conceptual framework is proposed to synthesize the main findings, benefits, and challenges related to the integration of IoT into corporate sustainability strategies. The results show that the convergence between digital technologies and the principles of sustainable development promotes more ethical, flexible and environmentally aligned corporate management, allowing organizations to adapt to the demands of the Industry 4.0 era and consolidate responsible and competitive production models.

由工业4.0驱动的数字化转型深刻地改变了组织实现可持续性和运营效率的方式。物联网（IoT）、大数据、机器学习（ML）、人工智能（AI）和云计算等技术促进了向更负责任的生产和管理模式的转变。这些创新不仅可以实现实时的数据驱动决策，还可以优化资源利用，减少浪费，提高能源效率。通过预测故障、最小化计划外维护和精炼流程，组织可以加强更具弹性、更具竞争力和对环境负责的管理模式。它们还促进更安全和更健康的工作环境，作为可持续发展的一个重要组成部分，促进社会福祉。本研究根据PRISMA 2020指南进行了系统的文献综述，分析了2015年至2025年间发表的45多篇同行评议文章。搜索是在Web of Science （WoS）数据库中进行的，使用布尔算法来识别最相关和最近的贡献。根据这一分析，提出了一个概念性框架，以综合与将物联网整合到企业可持续发展战略相关的主要发现、好处和挑战。结果表明，数字技术与可持续发展原则之间的融合促进了更加道德、灵活和环保的企业管理，使组织能够适应工业4.0时代的需求，并巩固负责任和有竞争力的生产模式。

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引用次数: 0

Review of advancing hybrid renewable energy systems: The strategic role of solar cooling and multi-source integration in arid climates 推进混合可再生能源系统综述：太阳能冷却和多源集成在干旱气候中的战略作用

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2026-01-26 DOI: 10.1016/j.rineng.2026.109281

Jamil AlAsfar, Mahmoud Irshidat, Mohammad Mustafa

Hybrid Renewable Energy Systems (HRES) with a specific focus on solar cooling applications in arid climates. By reviewing 70+ peer-reviewed articles from 2013 to 2025, the paper analyzes configurations involving photovoltaic (PV), concentrated solar power (CSP), biomass, oil shale, and battery storage technologies. The University of Jordan serves as a case study, where solar adsorption cooling systems using silica gel and zeolite have been implemented and validated using TRNSYS under Amman’s climate. These systems achieved outlet water temperatures of 16.8°C and a COP ranging from 0.14 to 0.34. The analysis also highlights enabling tools such as artificial intelligence (AI), digital twins, and smart grid controls that improve system optimization and load matching. Jordan's high solar irradiance (over 1800 kWh/m²/year) and national energy strategy position it as a viable environment for expanding hybrid solar applications. The study concludes that integrating solar cooling into HRES can enhance energy resilience, reduce fossil fuel dependence, and contribute significantly to decarbonization in regions with high cooling demand.

混合可再生能源系统（HRES），特别关注干旱气候下的太阳能冷却应用。通过回顾2013年至2025年的70多篇同行评议文章，本文分析了光伏（PV）、聚光太阳能（CSP）、生物质、油页岩和电池存储技术的配置。约旦大学作为一个案例研究，在安曼的气候条件下，使用TRNSYS实施并验证了使用硅胶和沸石的太阳能吸附冷却系统。这些系统的出水温度为16.8°C， COP范围为0.14至0.34。该分析还强调了人工智能（AI）、数字孪生和智能电网控制等支持工具，这些工具可以改善系统优化和负载匹配。约旦的高太阳辐照度（超过1800千瓦时/平方米/年）和国家能源战略使其成为扩大混合太阳能应用的可行环境。研究认为，将太阳能制冷纳入HRES可以增强能源弹性，减少对化石燃料的依赖，并为高制冷需求地区的脱碳做出重大贡献。

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引用次数: 0

Molecular property prediction: Input types and information processing in machine learning models 分子性质预测：机器学习模型中的输入类型和信息处理

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2026-01-23 DOI: 10.1016/j.rineng.2026.109241

Muhammed Thameem , Obaid AlHmoudi , Ahmad Al Salloum , Naeema Al Darmaki , Ali Elkamel , Ali A. AlHammadi

Molecular property prediction is at the core of machine learning (ML)-driven materials and drug discovery. Effectively navigating the ML workflow requires careful consideration of molecular representations, input preparation strategies, and model architectures. This review aims to provide an intuitive understanding of information processing and input construction in different machine learning models, offering guidance on how different ML approaches align with various prediction tasks and molecular representations. The methodologies are broadly categorized into descriptor-based, string-based, and graph-based models, with greater emphasis placed on graph-based approaches due to their superior ability to capture molecular structure and spatial geometry. Within the string-based category, focus is given to transformers and large language models (LLMs), which are gaining increasing attention owing to their success in natural language processing (NLP). Among graph-based models, the emerging class of geometric graph neural networks (Geometric GNNs) is discussed in detail, as these models represent the current state of the art across multiple benchmark datasets in molecular property prediction.

分子性质预测是机器学习（ML）驱动的材料和药物发现的核心。有效地导航ML工作流程需要仔细考虑分子表示、输入准备策略和模型架构。本综述旨在直观地理解不同机器学习模型中的信息处理和输入构建，为不同的机器学习方法如何与各种预测任务和分子表示相结合提供指导。这些方法大致分为基于描述符的、基于字符串的和基于图的模型，其中更强调基于图的方法，因为它们具有捕获分子结构和空间几何的优越能力。在基于字符串的类别中，重点是变压器和大型语言模型（llm），由于它们在自然语言处理（NLP）中的成功，它们越来越受到关注。在基于图的模型中，详细讨论了新兴的几何图神经网络（geometric graph neural networks, geometric gnn），因为这些模型代表了分子性质预测中多个基准数据集的最新技术。

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引用次数: 0

A comprehensive review on nanofluids applications in the machining industry: challenges in nanofluids 纳米流体在机械加工工业中的应用综述：纳米流体的挑战

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2026-01-20 DOI: 10.1016/j.rineng.2026.109220

Seyed Hasan Musavi , Davood Domiri Ganji

Recent studies on developing in manufacturing processes with economic and environmental-friendly logics have shown that many researchers are inclined to replace inefficient techniques with the new and efficient ones. Meanwhile, the machining industry, with its wide range of different processes, has accounted for a large share of industrial production. Cutting fluid (CF) is an inseparable part of machining processes, which their detailed study can have comprehensive feedback, including production costs, product quality, and human and environmental health. Knowing that over 65 % of lubricants disposals return to the environment with no purification process, and increasing regulations over pollution, therefore, suitable lubricant is demanded to replace with risky and low-efficiency one. The use of nanofluids is a practical solution to problems in today's industry that has been proposed by many researchers around the world. The present study has carefully studied the impact of various nanofluids in different sectors of the machining industry. The challenges of nanofluids such as biological effects, cost of nanoparticle production, and process limitations such as nanoparticles instability, changes in properties at high temperatures, increasing viscosity and pressure drop in transmission line are among the most important factors in the advancement of nanofluids, which were reviewed in the present work. Among them and as an important issue that many researchers haven't studied very well is the instability of the nanoparticles, which leads to nanoparticles adhesion to each other and weakening of the Brownian motion. Therefore, the stability of nanoparticles in the nanofluid is greatly reduced and they deposited rapidly, which fluid environment becomes empty of nanoparticles. Surface active agents (surfactant) can be a solution to this harmful phenomenon, which in the work, it has been tried to explain this issue in detail.

最近对经济和环境友好型制造工艺的研究表明，许多研究人员倾向于用新的和高效的技术来取代低效的技术。与此同时，机械加工行业因其广泛的不同工艺，在工业生产中占有很大的份额。切削液（CF）是机械加工过程中不可分割的一部分，对其进行详细的研究可以得到全面的反馈，包括生产成本、产品质量以及人类和环境健康。由于超过65%的润滑油处理后没有经过净化处理就会返回环境，而对污染的监管也越来越多，因此需要用有风险和低效率的润滑油来替代合适的润滑油。纳米流体的使用是当今工业问题的一种实际解决方案，已被世界各地的许多研究人员提出。本研究仔细研究了各种纳米流体对机械加工行业不同部门的影响。纳米流体面临的挑战，如生物效应、纳米颗粒生产成本、工艺限制，如纳米颗粒不稳定性、高温下性能变化、粘度增加和传输线压降等，是纳米流体发展的重要因素，本文对这些问题进行了综述。其中，纳米颗粒的不稳定性导致了纳米颗粒之间的相互粘附和布朗运动的减弱，这是许多研究人员没有很好地研究的一个重要问题。因此，纳米颗粒在纳米流体中的稳定性大大降低，并迅速沉积，使纳米颗粒在流体环境中变得空无一物。表面活性剂（表面活性剂）可以解决这一有害现象，在工作中，已试图详细解释这一问题。

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引用次数: 0

Enhancing flexibility in integrated gasification combined cycle systems: the role of syngas storage technologies and operational strategies 提高综合气化联合循环系统的灵活性：合成气储存技术和操作策略的作用

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2026-01-17 DOI: 10.1016/j.rineng.2026.109164

Andrey Clarice G. Gelogo, Angelo Earvin Sy Choi

Integrated gasification combined cycle (IGCC) systems have a significant role in advancing the transition toward cleaner energy production by enabling the efficient and environmentally responsible use of coal and other carbon-based feedstocks. IGCC systems not only reduce emissions and improve thermal efficiency but also offer integration potential with emerging low-carbon technologies. Integrated gasification combined cycle with syngas storage (IGCC-SS) offers greater operational flexibility, particularly during maintenance periods or sudden power outages, and enhances the ability of the plant to respond to variable energy demands. This review focuses on analyzing syngas storage technologies and their operational considerations to enhance the flexibility, reliability, and scalability of IGCC systems. The feasibility of syngas storage is highly influenced by the physicochemical properties of syngas, which depend on the gasification operating conditions and the type of feedstock. These factors affect syngas composition, energy density, and flammability limits, all of which are critical for safe and effective storage. The integration of syngas storage in IGCC systems provides enhanced operational flexibility, enabling the system to adapt to a broader range of duty cycles and variable energy demands. However, it also has trade-offs, including reduced overall efficiency and increased energy production costs. Therefore, the process design configuration and operational variables must be carefully developed to achieve the optimal balance between performance, reliability, and economic viability. Future research may focus on optimizing syngas storage parameters and the syngas distribution ratio to minimize efficiency losses and enhance the adaptability of IGCC-SS systems to dynamic power grid requirements.

综合气化联合循环（IGCC）系统通过实现煤炭和其他碳基原料的高效和环保使用，在推进向清洁能源生产过渡方面发挥着重要作用。IGCC系统不仅可以减少排放，提高热效率，而且还具有与新兴低碳技术集成的潜力。集成气化联合循环与合成气储存（IGCC-SS）提供了更大的操作灵活性，特别是在维护期间或突然停电期间，并增强了工厂应对可变能源需求的能力。本文重点分析了合成气存储技术及其操作考虑，以提高IGCC系统的灵活性、可靠性和可扩展性。合成气的物理化学性质对合成气储存的可行性有很大的影响，这取决于气化操作条件和原料类型。这些因素影响合成气的组成、能量密度和可燃性限制，所有这些都是安全有效储存的关键。在IGCC系统中集成合成气存储提供了增强的操作灵活性，使系统能够适应更大范围的占空比和可变的能源需求。然而，它也有权衡，包括降低整体效率和增加能源生产成本。因此，必须仔细开发工艺设计配置和操作变量，以实现性能、可靠性和经济可行性之间的最佳平衡。未来的研究将重点放在优化合成气存储参数和合成气分配比上，以最大限度地降低效率损失，增强IGCC-SS系统对动态电网需求的适应性。

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引用次数: 0

Recent advances in bioethanol production from rice straw and husks by physical, chemical, and biological pretreatment methods 利用秸秆和稻壳制备生物乙醇的物理、化学和生物预处理方法研究进展

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2026-01-16 DOI: 10.1016/j.rineng.2026.109162

Reema Ningthoujam , Pankaj Jangid , Virendra Kumar Yadav , Rustem Zairov , S M Mozammil Hasnain , Annu , Ashish Patel , Harish Kumar Dhingra

Agricultural waste is a major global concern, with the potential to be a value-added material given its composition. Due to the high lignocellulosic content in various types of agro-waste, there has been a drastic increase in demand for bioethanol production. In this review, the investigators comprehensively emphasized the role of various pretreatment techniques in increasing bioethanol production from lignocellulosic biomass (LCB), particularly rice straw (RS). Here, investigators reviewed lignin removal, hemicellulose solubilization, sugar release, and ethanol generation reported in previously published experimental studies. A comparative study of all the available pretreatment approaches for the rice straw was emphasized. Further, the most effective and sustainable pretreatment strategies were identified, and their implications were focused on for scalable bioethanol production. The integrated pretreatment strategies were found to be more effective, sustainable, and scalable for the production of second-generation bioethanol. These methods closely align with the United Nations Sustainable Development Goals (SDGs), particularly SDGs 7, 12, and 13, which promote the generation of renewable biofuels from agricultural residues.

农业废弃物是全球关注的一个主要问题，鉴于其成分，有可能成为一种增值材料。由于各种类型的农业废弃物中木质纤维素含量高，对生物乙醇生产的需求急剧增加。在这篇综述中，研究人员全面强调了各种预处理技术在提高木质纤维素生物质（LCB），特别是稻草（RS）生物乙醇产量中的作用。在这里，研究人员回顾了木质素去除、半纤维素增溶、糖释放和乙醇生成在先前发表的实验研究报告。对现有的稻秆预处理方法进行了比较研究。此外，确定了最有效和可持续的预处理策略，并将重点放在可扩展的生物乙醇生产上。综合预处理策略对第二代生物乙醇的生产更为有效、可持续和可扩展。这些方法与联合国可持续发展目标（sdg）密切相关，特别是可持续发展目标7、12和13，这些目标促进了从农业残留物中生产可再生生物燃料。

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引用次数: 0

Nanomaterials for ballistic protection: Advances and future prospects-a review 纳米材料的弹道防护：进展与未来展望

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2026-01-14 DOI: 10.1016/j.rineng.2026.109126

Tibebu Merde Zelelew , Firdwoyn Siyoum Haile , Tsedale Mequanent Admasu , Mestawet Girma Bekele

The increasing lethality of ballistic threats and the increasing demand for lightweight and portable protection have revealed the critical limitations of conventional armor materials, such as high material density, poor flexibility, and limited multi-hit capability. In response, nanotechnology has emerged as a promising pathway for enhancing ballistic performance without sacrificing mobility. This review critically assesses the recent progress in ballistic protection systems enhanced by nanomaterials, focusing on carbon nanotubes, graphene, boron nitride nanotubes, and nano-enabled shear-thickening fluids (STFs). The analysis reveals that ballistic performance improvements are primarily governed by nanoscale mechanisms such as crack deflection and bridging, enhanced interfacial load transfer, and strain-rate-dependent stiffening. Despite these demonstrated advantages, the review identifies major barriers to practical implementation, including inconsistent nanoparticle dispersion, limited scalability of fabrication techniques, uncertain long-term durability, and environmental and health concerns. Based on these findings, a research roadmap is proposed emphasizing hybrid material architectures, scalable manufacturing strategies, multiscale computational modeling, and sustainable material design. The review concludes that overcoming these challenges is essential for translating nanotechnology-enabled armor systems from laboratory concepts into reliable, field-ready ballistic protection.

随着弹道威胁杀伤力的增加和对轻量化、便携式防护需求的增加，传统装甲材料的密度大、柔韧性差、多命中能力有限等严重局限性暴露出来。因此，纳米技术已经成为在不牺牲机动性的情况下提高弹道性能的有希望的途径。这篇综述批判性地评估了纳米材料增强弹道防护系统的最新进展，重点是碳纳米管、石墨烯、氮化硼纳米管和纳米剪切增稠流体（stf）。分析表明，弹道性能的改善主要是由纳米级机制控制的，如裂纹挠曲和桥接，增强的界面载荷传递，以及应变率相关的硬化。尽管具有这些优势，但该综述指出了实际实施的主要障碍，包括纳米颗粒分散不一致、制造技术的可扩展性有限、长期耐久性不确定以及环境和健康问题。在此基础上，提出了以混合材料架构、可扩展制造策略、多尺度计算建模和可持续材料设计为重点的研究路线图。该综述得出结论，克服这些挑战对于将纳米技术支持的装甲系统从实验室概念转化为可靠的、可用于战场的弹道防护至关重要。

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引用次数: 0

GIS based hybrid multi criteria decision making on the fuzzy environment to delineate flood susceptibility region in kr. keureuto catchment area, North Aceh 基于GIS的模糊环境混合多准则决策在亚齐北部kr. keureuto流域洪水易发区划分中的应用

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2026-01-11 DOI: 10.1016/j.rineng.2026.109064

Maimun Rizalihadi , Alfiansyah Yulianur , Yuwaldi Away , Ella Meilianda

Flood susceptibility mapping is a vital tool for risk assessment and disaster mitigation. This study presents a Geographic Information System (GIS)–based approach that integrates two fuzzy Multi-Criteria Decision-Making (MCDM) methods, fuzzy Analytical Hierarchy Process (FAHP) and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS), to delineate flood-prone zones in the Kr. Keureuto catchment, north Aceh. The key innovation is applying a generalized-mean ranking method to define context-sensitive ideal and negative‐ideal solutions, replacing the usual fixed fuzzy positive and negative ideal solutions (FPIS/FNIS), to produce more robust weights and rankings under data uncertainty. Eleven hydrological, topographic, and land surface factors were analyzed, including rainfall, flow accumulation, elevation, slope, drainage density, proximity to rivers, topographic wetness index, land use/land cover, vegetation index, curvature, and soil type. Rainfall (weight: 0.223), flow accumulation (0.140), proximity to rivers (0.115), TWI (0.112), and drainage density (0.094) were the most influential factors. The resulting flood-susceptibility map shows that about 38 % of the basin, mainly downstream, is at high to very high risk, while the remaining 62 % is at moderate to low risk. Validation with observed flood records produced an area-under-the-curve- receiver operating characteristic (AUC-ROC) value of 0.921, demonstrating excellent predictive performance. By clearly linking spatial analysis with a more flexible decision framework, this research provides a practical decision-support tool for planners, disaster-management agencies, and local authorities to identify priority zones for structural and non-structural mitigation, guide land-use planning, and strengthen early-warning and evacuation strategies.

洪水易感性绘图是风险评估和减灾的重要工具。本研究提出了一种基于地理信息系统（GIS）的方法，该方法集成了两种模糊多标准决策（MCDM）方法，即模糊层次分析法（FAHP）和模糊理想解决方案相似偏好排序法（FTOPSIS），以划定亚齐北部Kr. Keureuto流域的洪水易发区。关键的创新是应用广义平均排序方法来定义上下文敏感的理想和负理想解，取代通常的固定模糊正理想解和负理想解（FPIS/FNIS），从而在数据不确定性下产生更稳健的权重和排名。分析了11个水文、地形和地表因子，包括降雨量、流量积累、高程、坡度、排水密度、靠近河流、地形湿度指数、土地利用/土地覆盖、植被指数、曲率和土壤类型。降雨量（权重：0.223）、流量累积（0.140）、靠近河流（0.115）、TWI（0.112）和排水密度（0.094）是最主要的影响因素。由此得出的洪水易感性图显示，约38%的流域（主要是下游）处于高至极高风险，而其余62%处于中至低风险。经实测洪水记录验证，曲线下面积接收者工作特征（AUC-ROC）值为0.921，具有较好的预测效果。通过将空间分析与更灵活的决策框架清晰地联系起来，本研究为规划者、灾害管理机构和地方当局提供了一个实用的决策支持工具，以确定结构性和非结构性减灾的优先区域，指导土地利用规划，并加强预警和疏散策略。

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引用次数: 0