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Flood disasters are common events in Malaysia, particularly during the monsoon seasons. Hence, disaster management in Malaysia is based on the framework following “Directive 20” by the National Security Council (MKN). This study gathered qualitative information in Shah Alam Municipality through informal interviews with 20 informants following the quadruple-helix multi-stakeholders model in 2023 for flood disaster management (FDM). Thematic analysis of the qualitative information was conducted following the four main priority of action themes of the Sendai Framework for United Nations Disaster Risk Reduction (2015–2030) using the Taguette software. This study found coordination and inter-agency data sharing are two major issues in Shah Alam that require immediate attention for FDM. Thus, this study suggests improving district-level flood management guidelines, especially the involvement of the National Disaster Management Agency (NADMA). The NADMA should have a close look at the flood management plan, which acts as Malaysia’s main disaster management coordinator, as they are usually the first agency on the scene when a disaster occurs. Hence, to prevent and lessen flood disaster impact, disaster risk preparedness and individual management through customized training are crucial in combining non-structural and structural measures for FDM. Full article

The western Sichuan region, characterized by unique geological conditions and the pronounced influence of uneven rainfall patterns, is highly vulnerable to frequent geological hazards, particularly landslides. These events pose significant threats to both public safety and regional ecosystem stability. This study focuses on landslide disasters in Dechang County, Sichuan Province, and introduces a framework for assessing landslide susceptibility. The framework incorporates nine critical factors: slope, aspect, topographic relief, distance from faults, slope structure, lithology, proximity to roads, hydrological systems, and vegetation coverage. Using ArcGIS and integrating rainfall as a key factor, we applied an information value–geographic logistic regression coupled model (GWILR) to evaluate landslide susceptibility across the region. The results show landslide susceptibility in Dechang County is classified into four categories: high (14.02%), moderate (54.06%), low (34.98%), and very low (0.94%). Landslides are most concentrated along fault lines and river systems. The model’s AUC value of 0.926 outperforms the traditional information entropy–logistic regression (ILR) model (AUC = 0.867), demonstrating superior predictive accuracy. The GWILR model offers key advantages over traditional methods. Unlike ILR, it assigns region-specific regression coefficients, capturing spatial heterogeneity and nonlinearity more effectively. The inclusion of rainfall as a key factor further enhances model accuracy by reflecting both temporal and spatial variations in landslide occurrence. This approach provides a more localized and precise evaluation of landslide risk, making it highly applicable for regions with complex geological and climatic conditions. This study highlights the GWILR model’s effectiveness in landslide susceptibility assessment and provides a foundation for improving disaster risk management in Dechang County and similar regions. Full article

In an era of increasingly abundant and granular spatial and temporal data, the traditional divide between environmental GIS and building-centric BIM scales is diminishing, offering an opportunity to enhance natural hazard assessment by bridging the gap between territorial impacts and the effects on individual structures. This study addresses the challenge of integrating disparate data formats by establishing a centralised database as the foundation for a comprehensive risk assessment approach. A use case focusing on flood risk assessment for a public building in northwest Italy demonstrates the practical implications of this integrated methodology. The proposed TErritorial RIsk Management & Analysis Across Scale (TERIMAAS) framework utilises this centralised repository to store, process, and dynamically update diverse BIM and GIS datasets, incorporating real-time IoT-derived information. The GIS spatial analysis assesses risk scores for each hazard type, providing insights into vulnerability and potential impacts. BIM data further refine this assessment by incorporating building and functional characteristics, enabling a comprehensive evaluation of resilience and risk mitigation strategies tailored to dynamic environmental conditions across scales. The results of the proposed scalable approach could provide a valuable understanding of the territory for policymakers, urban planners, and any stakeholder involved in disaster risk management and infrastructure resilience planning. Full article

Sustainability involves continuously enhancing processes to yield long-term environmental, economic, and social benefits. The construction industry necessitates innovative and practical approaches in both education and construction practice to foster sustainable development. This study contributes to the discourse on sustainability in engineering education and construction practice by presenting the outcomes of the European-funded project “CLOEMC VI—Common Learning Outcomes for European Managers in Construction”. The main aim of this study is to investigate construction practices and civil engineering education from the perspective of sustainability considering the impact of earthquakes on the construction sector. This study incorporates insights from interviews conducted with construction professionals in the region affected by the February 2023 Kahramanmaras earthquakes in Turkey. The interviews examine reflections on building sustainable cities through earthquake-resilient practices. This study also conducts a questionnaire survey targeting academics in civil engineering departments in Turkey. The questionnaire survey evaluated the integration of sustainability and resilience into civil engineering curricula. The key contribution of this research lies in demonstrating how the manuals developed under the EU-funded project can be effectively integrated into engineering education and how insights from disaster-affected communities can inform a more robust framework for sustainability. This study provides valuable guidance for policymakers and researchers in developing strategies for implementing sustainability in engineering education and the construction industry, ultimately contributing to the advancement of sustainable development practices. Full article

Floods are considered to be among the most dangerous and destructive geohazards, leading to human victims and severe economic outcomes. Yearly, many regions around the world suffer from devasting floods. The estimation of flood aftermaths is one of the high priorities for the global community. One such flood took place in northern Libya in September 2023. The presented study is aimed at evaluating the flood aftermath for Derna city, Libya, using high resolution GEOEYE-1 and Sentinel-2 satellite imagery in Google Earth Engine environment. The primary task is obtaining and analyzing data that provide high accuracy and detail for the study region. The main objective of study is to explore the capabilities of different algorithms and remote sensing datasets for quantitative change estimation after the flood. Different supervised classification methods were examined, including random forest, support vector machine, naïve-Bayes, and classification and regression tree (CART). The various sets of hyperparameters for classification were considered. The high-resolution GEOEYE-1 images were used for precise change detection using image differencing (pixel-to-pixel comparison and geographic object-based image analysis (GEOBIA) for extracting building), whereas Sentinel-2 data were employed for the classification and further change detection by classified images. Object based image analysis (OBIA) was also performed for the extraction of building footprints using very high resolution GEOEYE images for the quantification of buildings that collapsed due to the flood. The first stage of the study was the development of a workflow for data analysis. This workflow includes three parallel processes of data analysis. High-resolution GEOEYE-1 images of Derna city were investigated for change detection algorithms. In addition, different indices (normalized difference vegetation index (NDVI), soil adjusted vegetation index (SAVI), transformed NDVI (TNDVI), and normalized difference moisture index (NDMI)) were calculated to facilitate the recognition of damaged regions. In the final stage, the analysis results were fused to obtain the damage estimation for the studied region. As the main output, the area changes for the primary classes and the maps that portray these changes were obtained. The recommendations for data usage and further processing in Google Earth Engine were developed. Full article

As a critical predisaster warning tool, landslide susceptibility assessment is crucial in disaster prevention and mitigation efforts. However, earlier methods for assessing landslide susceptibility have often ignored the impact of similarities in geographical attributes, restricting their feasibility in regions with diverse characteristics. The geographical-optimal-similarity (GOS) model effectively captures similarity relations within geospatial data and can isolate region-specific landslide features, thus overcoming this challenge. Consequently, a landslide susceptibility assessment method was developed by integrating the information value (IV) model with the GOS model. Huangshan City in Anhui Province, China, was selected as the study region. This research used 11 remote sensing feature factors and 657 historical landslide points, combined with the IV model, to construct a dataset for landslide prediction and susceptibility assessment using the GOS model. The findings indicate that, compared to conventional methods such as random forest, logistic regression, and radial basis function classifier, the GOS model enhances the area under the curve (AUC) value by 2.81% to 8.92%, reaching 0.846. This demonstrates superior performance and confirms the effectiveness and accuracy of the method in landslide susceptibility assessment. Furthermore, compared to the basic-configuration-similarity (BCS) model, the GOS model increases the AUC value by 9.64%, achieving 0.846. This approach substantially diminishes the effects of historical data accuracy, revealing upgraded applicability in landslide susceptibility evaluations. Landslides in Huangshan City are primarily influenced by rainfall and vegetation cover. High-susceptibility zones are predominantly located in areas with high precipitation and low vegetation cover. In contrast, low-susceptible and non-susceptible zones are primarily found in flat areas with high vegetation cover and farther from fault lines. The majority of the study region lies within landslide-prone zones, with non-susceptible areas comprising only 12.43% of the total area. Historical landslides are largely concentrated in moderate- to high-susceptibility zones, accounting for 92.24% of all landslide occurrences. Landslide density increases with the susceptibility level, with a density of 0.15 landslides per square kilometre in high-susceptibility zones. This study brings forward a reliable strategy for establishing the spatial relationship between geographical attribute similarity and landslide susceptibility, bolstering the method’s adaptability across various regions. Full article

Chinese forests, particularly the coniferous forest ecosystems represented by pines, play a crucial role in the global carbon cycle, significantly contributing to mitigating climate change, regulating regional climates, and maintaining ecological balance. However, pine wilt disease (PWD), caused by the pine wood nematode (PWN), has become a major threat to forest carbon stocks in China. This study evaluates the impact of PWN invasion on forest carbon stocks in China using multi-source data and an optimized MaxEnt model, and the study analyzes this invasion’s spread trends and potential risk areas. The results show that the high-suitability area for PWN has expanded from 68,000 km² in 2002 to 184,000 km² in 2021, with the spread of PWN accelerating, especially under warm and humid climate conditions and due to human activities. China’s forest carbon stocks increased from 111.34 billion tons of carbon (tC) to 168.05 billion tC, but the carbon risk due to PWN invasion also increased from 87 million tC to 99 million tC, highlighting the ongoing threat to the carbon storage capacity. The study further reveals significant differences in tree species’ sensitivity to PWN, with highly sensitive species such as Masson’s pine and black pine mainly concentrated in the southeastern coastal regions, while less sensitive species such as white pine and larch show stronger resistance in the northern and southwestern areas. This finding highlights the vulnerability of high-sensitivity tree species to PWN, especially in high-risk areas such as Guangdong, Guangxi, and Guizhou, where urgent and effective control measures are needed to reduce carbon stock losses. To address this challenge, the study recommends strengthening monitoring in high-risk areas and proposes specific measures to improve forest management and policy interventions, including promoting cross-regional joint control, enhancing early warning systems, and utilizing biological control measures, while encouraging local governments and communities to actively participate. By strengthening collaboration and implementing control measures, the health and sustainable development of forest ecosystems can be ensured, safeguarding the forests’ important role in climate regulation and carbon sequestration and contributing to global climate change mitigation. Full article

The massive stockpiles of Bayer-process red mud (BRM) severely compromise soil integrity, necessitating the urgent development of efficient large-scale utilization strategies. BRM contains large amounts of calcium, silicon, and aluminum. Theoretically, water glass and flue gas desulfurization gypsum (FGD) can increase the active substances in BRM, making it a cementitious raw material capable of replacing cement. This study pioneers a novel activation strategy utilizing water glass–FGD synergism to amplify the BRM reactivity, enabling an increased dosage in construction materials through enhanced pozzolanic activity. They were blended into the cement at different ratios to prepare a grouting material (BF-C) for fissure sealing in mine rock strata. The hydration mechanism of BF-C was analyzed from a micro perspective by XRD, FTIR, ICP-OES, and SEM-EDS, and combined with the Ca/(Si + Al) ratio to reveal its hydration synergy. The results showed that the 3 d and 28 d strength of 70% BRM-FGD reached 8.94 MPa and 13.71 MPa, respectively. At this ratio, the hydration synergy of BF-C was the strongest. The addition of water glass and FGD can directly modulate the Ca/(Si + Al) ratio of the system to an optimal value of 0.94, which promotes the formation of early hydration products. C-S-H gel, calcite, and C(N)-A-S-H are the main hydration products of BF-C. C-S-H gels are encapsulated on cancrinite, and their three-dimensional network structures are dense. Meanwhile, C(N)-A-S-H crystals are interspersed between C-S-H gels, making the structure more stable. This achievement introduces an innovative method for the large-scale utilization of Bayer red mud, providing an effective solution in grouting technology using solid waste as raw material. Full article

The drill cuttings method is a commonly used method for evaluating coal burst risk in mines. In engineering applications, due to the development of fractures in coal seams, borehole collapse can easily occur during drilling, which leads to a greater quantity of drill cuttings. This in turn affects the accuracy of the evaluation results of coal burst risk. Through laboratory tests on drill cuttings from intact coal and fractured coal specimens, the impact of coal stress and diameter of the borehole on the quantity of drill cuttings and the occurrence of borehole collapse was studied. When there is no collapse, the quantity of drill cuttings increases in proportion to the diameter of the borehole and the coal stress and has a power function relationship with the diameter of the borehole and an exponential function relationship with the coal stress. When the collapse occurs, the failure characteristics of coal specimens mainly present two forms. One is the cylindrical collapse area, and the other is the conical collapse area. Compared to normal drilling, there are notable changes in the particle size of drill cuttings after borehole collapse, and the characteristic value of drill cuttings size D50 increases significantly after the collapse of the borehole, which can be used to determine whether the borehole collapse occurs. Full article

Subsurface drip irrigation is an advanced technique that significantly enhances agricultural water efficiency and conserves irrigation resources. The Heilonggang region is highly representative of the maize–wheat rotation system in China. This region was selected for conducting operations and maintenance experiments on subsurface drip irrigation systems. The primary objective of this study was to determine the most suitable type of drip tape for application in the North China Plain and to identify specific maintenance measures necessary to ensure the long-term functionality of subsurface drip irrigation systems. The experiment was conducted in Jing County, Hengshui City. Anti-blocking drip tape (Netafim Co., Ltd. Beijing, China) with automatic functionality was evenly laid in the test area. The experimental area was divided into six rotational irrigation groups. The key parameter examined in this single-factor experiment was the drip tape wall thickness, with values of 0.2, 0.225, 0.25, 0.28, 0.31, and 0.38 mm. Drip tape treatments were randomly sampled in rotational irrigation groups, and there were three repeat plots in each treatment. Each replicate plot contained ten drip irrigation belts spaced 60 cm apart, with an interval of more than 2 m between adjacent plots. The subsurface drip irrigation system was installed in October 2023. Prior to irrigation, drip tape troubleshooting was conducted and recorded manually on 12 March 2024 (wheat regreening stage) and 29 June 2024 (maize-sowing stage). The experimental findings indicated that the primary factor influencing the stability of the irrigation system was the wall thickness of the drip tapes, while other system components operated efficiently. A significant correlation was observed between the wall thickness of the drip tape and the number of water leakage points (p < 0.05), with an absolute correlation coefficient exceeding 0.9. The number of leakage points in drip tapes with wall thicknesses of 0.2–0.28 mm (267 instances) was significantly higher than those with wall thicknesses of 0.31–0.38 mm (29 instances), primarily due to damage caused by mole crickets and wireworms. Following the injection of 40% phoxim, 2.5% lambda-cyhalothrin, and 70% imidacloprid insecticides (at a cost of 16.7 USD·ha⁻¹) into the subsurface drip irrigation system, the insect pests were nearly eradicated within one month. A cumulative cost evaluation over a 6–10-year period recommended the use of drip tapes with a wall thickness of 0.31 mm and the application of insecticides every 1–2 months to maintain optimal system performance in this region. These measures can effectively support the stable operation of this irrigation technique at a relatively low cost. Full article

This study presents relevant elements of seismic resilience strategy containing an innovative digital mapping tool tailored for Bucharest, one of Europe’s most seismically vulnerable areas. The framework integrates seismic resilience indicators and expert input with Bucharest’s seismic micro-zonation map to systematically identify critical relocation areas, including educational institutions, medical facilities, and open spaces for emergency use. A seven-step methodology underpins the strategy: identifying resilience indicators, gathering local data, conducting expert workshops, mapping vulnerable areas, designating emergency open spaces, incorporating educational institutions as shelters, and evaluating the framework through a SWOT (strengths, weaknesses, opportunities, and threats) analysis. The digital mapping tool developed using Google My Maps provides a practical and accessible platform for emergency management professionals and the public, enabling real-time response coordination and informed long-term planning. District 2 is identified as the most vulnerable area due to high population density and peak ground acceleration (PGA), while District 4 faces challenges stemming from limited medical and relocation resources, despite experiencing lower seismic activity. The SWOT analysis demonstrates the tool’s potential as a robust disaster management framework, while highlighting the need for continuous updates, enhanced collaboration, and integration of additional data. This study offers a scalable model for other urban contexts, bridging the gap between strategic planning and operational readiness for seismic risk reduction. Full article

The Shenyu River, as the tributary of the Jinsha River closest to the Wudongde Hydropower Station, has had seven landslides developed on its right bank, forming an interconnected landslide group system. The evolution and future development trends of the landslide group have a significant impact on the safe operation of the Wudongde Hydropower Station. Using geological field surveys and exploration data, we studied and analyzed the formation mechanism of the landslide group on the right bank of the Shenyu River in the reservoir area of the Wudongde Hydropower Station. The main conclusions are as follows: The local structure of the study area is mainly composed of north–south faults and folds, which control the development of rock mass unloading in the later stage of the study area, the formation of the stepped landform in the study area, and the formation process of geological disasters in the study area. The synclinore (Bellmouth fold) structure on the southern flank of the Shenyu River controls the spatial distribution of geological disasters in the study area, forming a spatial distribution pattern centered on the Dapingdi landslide and Dacun landslide, with the scale of geological disasters decreasing toward both sides. The research findings contribute to the improvement of the theoretical system of the formation mechanism of geological disasters. Full article

In the context of global warming, landscapes with ice-rich permafrost, such as the Qinghai–Tibet Plateau (QTP), are highly vulnerable. The expansion of thermokarst lakes erodes the surrounding land, leading to collapses of various scales and posing a threat to nearby infrastructure and the environment. Assessing the susceptibility of thermokarst lakes in remote, data-scarce areas remains a challenging task. In this study, Landsat imagery and human–computer interaction were employed to improve the accuracy of thermokarst lake classification. The study also identified the key factors influencing the occurrence of thermokarst lakes, including the lake density, soil moisture (SM), slope, vegetation, snow cover, ground temperature, precipitation, and permafrost stability (PS). The results indicate that the most susceptible areas cover 19.02% of the QTP’s permafrost region, primarily located in southwestern Qinghai, northeastern Tibet, and the Hoh Xil region. This study provides a framework for mapping the spatial distribution of thermokarst lakes and contributes to understanding the impact of climate change on the QTP. Full article

Tunnel excavation in water-rich and saturated loess layers often encounters a series of engineering disasters, including surface settlement, large deformations of surrounding rock, collapses, water inrushes, mud inrushes, and lining cracks. This paper presents an analogy of 16 cases of instability and collapse of surrounding rock during the excavation of water-rich loess tunnels in China’s loess regions. The weight of influence of various factors affecting the stability of surrounding rocks has been analyzed based on the Fuzzy Analytic Hierarchy Process (FAHP), addressing the engineering challenges encountered during the construction of the Tuanjie Tunnel. Measures such as deep well-point dewatering of the surface, reinforcement of locking foot anchors, and construction treatment with large arch feet are proposed. The effectiveness of these treatments is then monitored and analyzed. The results show that after 30 days of dewatering, the average water content of the surrounding rock decreased from 28.8% to 22.3%, transforming the surrounding rock from a soft plastic state to a hard plastic state. Phenomena such as mud inrushes at the tunnel face and water seepage through the lining are significantly reduced, and the self-stabilizing capacity of the surrounding rock is markedly improved. By optimizing the excavation method and enhancing support parameters, the construction progress rate for Grade VI surrounding rock has increased from 10–15 m per month to 40 m per month, validating the effectiveness of the proposed measures. Full article

On 1 January 2024, a magnitude 7.5 earthquake struck the Noto Peninsula in Ishikawa Prefecture, Japan, causing substantial damage to northern Noto. This study aimed to clarify the experiences of patients using a psychiatric visiting nurse service who were affected by the earthquake, and the influencing factors of worsening mental health symptoms after the earthquake. Participants were 114 patients using a psychiatric visiting nurse service in northern Noto. Data were collected retrospectively from nursing records. Factors associated with signs of worsening mental health symptoms were the continued use of home visiting nursing services after the disaster (n = 43, 46.7%; p = 0.040) and the intervention of a disaster psychiatric assistance team (DPAT) (n = 7, 77.8%; p = 0.034). No significant correlation was found between the number of relocations owing to evacuation and signs of worsening mental health symptoms. Although 61.4% of participants experienced more than one evacuation, the number of evacuations and relocations did not seem to directly affect the worsening of mental health symptoms. However, the results suggest a need for more direct interventions, such as the continued use of home visiting nursing services and the involvement of DPATs as an external resource, for patients exhibiting signs of worsening mental health symptoms. Full article