Preprints
Filtering by Subject: Civil and Environmental Engineering
SPATIAL SPARSITY AWARE EXPLAINABLE DEEP LEARNING-BASED LANDSLIDE SUSCEPTIBILITY MAPPING: APPLICATION TO A HILL DISTRICT, BANGLADESH
Published: 2026-03-27
Subjects: Civil and Environmental Engineering, Engineering, Geotechnical Engineering
Landslide susceptibility mapping is a critical disaster risk management tool in mountainous regions, particularly in developing countries and in regions where development is ongoing or planned. This research introduces a novel approach to landslide susceptibility mapping that addresses the persistent challenge of spatial sparsity in landslide datasets, particularly in developing countries where [...]
Machine Learning Based Alum Dosing Optimization for Adaptive Water Quality Management in Treatment Plant
Published: 2026-03-27
Subjects: Civil and Environmental Engineering, Environmental Engineering
Ensuring safe and cost-effective water purification remains a critical challenge, particularly for large natural water bodies like the Halda River, where water quality parameters fluctuate significantly. Traditional methods for determining alum dosages often rely on manual experiments that fail to adapt to real-time variations, leading to inefficiencies and chemical overuse. This study [...]
Seasonal Anomaly Detection in the Halda River Using a Multivariate Deep Learning Framework
Published: 2026-03-27
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Mechanical Engineering
Monitoring river water quality is essential to preserving ecological integrity, especially in ecologically significant rivers like the Halda, which is renowned for its natural freshwater carp spawning. This study presents a deep learning-based approach using a deep autoencoder neural network for unsupervised anomaly detection in water quality data. Two-year time-series data including daily [...]
Analyzing Seasonal Variations in Air Quality with Google Earth Engine: A Case Study of Chattogram, Bangladesh
Published: 2026-03-26
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Environmental Sciences
Air pollution is a serious environmental challenge in Bangladesh, significantly affecting public health and the ecosystem. This study considers analyzing the seasonal fluctuation of air quality in Chattogram by analyzing 13 significant areas near the industrial zone by using Google Earth Engine (GEE) to explore the SENTINEL-5P satellite data for key pollutants, including nitrogen dioxide (NO2), [...]
Uncertainty-Aware Bayesian Machine Learning for Landslide Susceptibility Mapping: in the Chattogram Metropolitan Hill System, Bangladesh
Published: 2026-03-25
Subjects: Civil and Environmental Engineering, Engineering
Landslide-prone hilly regions experiencing rapid urban expansion need susceptibility models that provide both robust predictive performance and transparent uncertainty estimates. This study develops an uncertainty-aware probabilistic framework for landslide susceptibility mapping in Bangladesh’s Chattogram metropolitan hill system, incorporating 14 conditioning factors: geomorphological, [...]
Sustainable Design from Waste Up: Irradiated Graphite Disposal Assessments to Inform Reactor Design and Operation
Published: 2026-03-24
Subjects: Civil and Environmental Engineering, Engineering
As Gen IV graphite-moderated reactor technologies advance to demonstration and deployment, the question must be answered of how, where, and when to dispose of the irradiated graphite waste produced from the operation of these facilities. This work presents an integrated assessment involving the entire graphite lifecycle in nuclear power production: impurity measurement of graphite grades, reactor [...]
On the Origin of Directional Variability in Earthquake Response Spectra: A Stochastic Covariance Framework
Published: 2026-03-22
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Geophysics and Seismology
Directional variability of horizontal earthquake response spectra is commonly described using rotation-based measures such as RotD50 and RotD100, yet its physical and statistical origin remains unclear. This study shows that directional anisotropy arises fundamentally from finite-sample fluctuations of the covariance matrix of filtered ground-motion response. Even under perfectly isotropic [...]
Agentic Modelling Pipeline: Reproducible Rapid Stormwater Modelling Management System with OpenClaw
Published: 2026-03-17
Subjects: Civil and Environmental Engineering, Civil Engineering, Computational Engineering, Engineering, Environmental Engineering, Hydraulic Engineering
Configuring urban hydrological models, such as SWMM, for operational or real-time modelling remains onerous for many models. We propose an Agentic SWMM workflow, which embeds ‘Skills’ and model context protocols to automate model configuration, execution, and extract and plot quantities of interest. To ensure that the entire Agentic SWMM workflow is auditable and reproducible, each run will [...]
HIGH-RESOLUTION DIGITAL TERRAIN MODEL FOR THE ITALIAN TERRITORY
Published: 2026-03-12
Subjects: Agriculture, Civil and Environmental Engineering, Computer Sciences, Earth Sciences, Engineering, Engineering Education, Environmental Sciences, Environmental Studies, Geography, Life Sciences, Mining Engineering, Physical Sciences and Mathematics, Risk Analysis, Social and Behavioral Sciences
High-resolution digital terrain models are essential for environmental planning and territorial analyses, and provide foundations for geomorphological and hydrological applications, including flood and landslide modelling and geo-hydrological hazard and risk assessments. In Italy, airborne LiDAR surveys have improved the representation of terrain morphology in the last decade, but their coverage [...]
Hybrid broadband ground-motion simulation using neural networks with spatial, inter-period, and cross-component correlations
Published: 2026-03-10
Subjects: Civil and Environmental Engineering
Simulated ground motions are increasingly used in earthquake engineering, particularly in regions with sparse strong-motion recordings where constraining non-ergodic ground-motion models (GMMs) remains challenging. Physics-based simulations (PBS) can reproduce key source and wave-propagation effects but are often limited to low frequencies, whereas stochastic methods are computationally efficient [...]
Data-driven control reveals distributed flood adaptation priorities across large river networks under climate change
Published: 2026-02-24
Subjects: Civil and Environmental Engineering, Dynamical Systems, Hydrology, Water Resource Management
Distributed flood adaptation requires knowing where in a river network attenuation effort should concentrate and how much each reach requires, but the spatial coupling, scenario dependence, and high dimensionality of real drainage networks have kept these requirements largely unresolved. We combine data-driven dynamics learning, reduced-order modeling, and optimal control theory into a diagnostic [...]
Machine Learning and Explainable AI for Agricultural Drought Prediction: A Comparative Analysis of Gradient Boosting Methods Using Multi-Source Earth Observation Data
Published: 2026-02-21
Subjects: Agriculture, Civil and Environmental Engineering, Engineering, Life Sciences
Drought monitoring and prediction remain critical challenges in climate science and agricultural management, particularly under accelerating climate change. This study presents a comprehensive machine learning framework for drought susceptibility mapping in Iowa, USA, using multi-source Earth observation data and explainable artificial intelligence. We systematically evaluated eleven supervised [...]
Biochar granulation and particle size influence hydrological performance of green roof substrates
Published: 2026-02-20
Subjects: Civil and Environmental Engineering, Environmental Monitoring, Hydrology, Materials Science and Engineering, Sustainability, Water Resource Management
Green roofs are increasingly being implemented in cities to improve stormwater management and provide additional ecosystem services. Biochar, a carbon-rich material derived from pyrolyzed biomass, has emerged as a promising substrate additive to improve hydrological performance of green roofs; however, unprocessed biochar is susceptible to erosion loss. Biochar granulation and particle size [...]
Directional Peak Factors of Strong-Motion Response Spectra: A Stochastic Field Representation on the Circle
Published: 2026-02-20
Subjects: Civil and Environmental Engineering, Civil Engineering, Engineering, Structural Engineering
Directional variability in horizontal earthquake ground motions is often addressed using orientation-independent intensity measures obtained by rotating the two horizontal components and summarizing the resulting response spectra. In contrast, the stochastic structure of directional peak factors, which connect second-order response measures to extreme response levels, has received limited [...]
Rotation-Invariant Ground-Motion as Directional Selection Operators: A Closed-Form Framework for RotD Response Spectra
Published: 2026-02-20
Subjects: Civil and Environmental Engineering, Civil Engineering, Structural Engineering
Horizontal earthquake ground motion is inherently two-dimensional, yet most engineering applications rely on scalar intensity measures. Rotation-invariant response spectra such as RotD50, MaxRotD50, and RotD100 are widely used to remove dependence on sensor orientation. They are often treated as direction-free scalars, which they are not. In this study, directional pseudo-spectral acceleration is [...]