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Preprints

Filtering by Subject: Engineering

Remote Sensing-Based Geospatial Analysis of Channel Migration Patterns in the Lower Shire Valley of the Shire River, Chikwawa District, Malawi

Japhet Khendlo

Published: 2025-07-11
Subjects: Engineering

This study examines the spatiotemporal dynamics of fluvial geomorphology along the Shire River floodplain in Malawi from 1975 to 2023, with emphasis on channel migration, width variation, sinuosity, meander curvature, and sediment budget changes. Utilizing multi-temporal satellite imagery and geospatial analysis, morphometric indicators were quantified across 41 cross-sectional zones over four [...]

Domain-Specific Embedding Models for Hydrology and Environmental Sciences: Enhancing Semantic Retrieval and Question Answering

Ramteja Sajja, Yusuf Sermet, Ibrahim Demir

Published: 2025-07-11
Subjects: Education, Engineering

Large Language Models (LLMs) have shown strong performance across natural language processing tasks, yet their general-purpose embeddings often fall short in domains with specialized terminology and complex syntax, such as hydrology and environmental science. This study introduces HydroEmbed, a suite of open-source sentence embedding models fine-tuned for four QA formats: multiple-choice (MCQ), [...]

Leveraging Large Language Models for Automating Water Distribution Network Optimization

Jian Wang, Guangtao Fu, Dragan Savic

Published: 2025-07-10
Subjects: Engineering

Effective management of Water Distribution Networks (WDNs) is essential to ensure efficient and reliable water supply in cities. However, many management tasks require complex system modelling and optimization approaches, which heavily rely on specialized domain expertise and human resources. Recent advancements in Large Language Models (LLMs) offer promising opportunities to automate complex [...]

Regional Variability of Drought-Crop Sensitivities Across Iowa Using Unsupervised Learning

S M Samiul Islam, Ibrahim Demir, Most Fatematozzohora

Published: 2025-07-10
Subjects: Engineering

Understanding the spatial variability of crop drought sensitivity is critical for improving agricultural resilience in the face of climate change. This study presents a station-level analysis of meteorological and yield data across Iowa from 1998 to 2022 to investigate the relationship between multiple drought indices and detrended yields of Corn and Soybean. Eleven drought indicators were [...]

Carbon removal trading can promote economic growth in the Global South but could undermine food and energy security

Jeffrey Dankwa Ampah, Chao Jin, Haifeng Liu, et al.

Published: 2025-07-06
Subjects: Engineering

A fundamental mismatch between countries’ carbon dioxide removal (CDR) responsibilities and their domestic capacities to fulfil them poses a major challenge to achieving the Paris Agreement’s long-term temperature goal. Interregional CDR trade offers a solution, yet there has been no quantitative assessment of how such trade could reshape the economies of exporting regions and impact their [...]

Could seismo-volcanic catalogues be improved or created using weakly supervised approaches with pre-trained systems?

Manuel Marcelino Titos Luzón, María del Carmen Benítez Ortúzar, Luca D'Aria, et al.

Published: 2025-07-04
Subjects: Engineering, Physical Sciences and Mathematics

Real-time monitoring of volcano-seismic signals is complex. Typically, automatic systems are built by learning from large seismic catalogs, where each instance has a label indicating its source mechanism. However, building complete catalogs is difficult owing to the high cost of data-labelling. Current machine learning techniques have achieved great success in constructing predictive monitoring [...]

Simultaneous spectral induced polarization and X-ray µCT imaging to investigate pore-scale dynamics and geoelectrical responses in porous media

Hamdi Omar, Tom Bultreys, Flore Rembert, et al.

Published: 2025-07-02
Subjects: Engineering, Physical Sciences and Mathematics

Understanding the interplay between pore-scale fluid distribution and bulk electrical properties is critical to improving petrophysical models of partially saturated porous media. This study introduces and evaluates a novel experimental setup that enables synchronized spectral induced polarization (SIP) and X-ray micro-computed tomography (µCT) measurements under dynamic saturation conditions. A [...]

Hydraulic Fracturing in a Confined Space System: Stress State, Fracture Space, and Production Enhancement Mechanism

Yang Yang

Published: 2025-07-02
Subjects: Engineering, Mining Engineering

Existing mechanical models for hydraulic fracturing technology are established based on open space systems, assuming fractures are primarily formed through tensile failure. However, the source mechanism of newly created fracture space under confined space conditions with constant total volume remains unclear. This study develops a mechanical model for hydraulic fracturing in confined space [...]

Multi-Model Machine Learning Analysis of Urban Temperature Trends: A Comparative Study on Climate Change Impacts in U.S. Cities of Midwest KANI Region

Mirza Md Tasnim Mukarram, Quazi Umme Rukiya, Marc Linderman

Published: 2025-07-01
Subjects: Education, Engineering, Life Sciences

Urban temperature prediction is critical for regional climate planning, environmental monitoring, and thermal hazard mitigation. This study employs a multi-model supervised machine learning framework to predict and forecast daily urban air temperatures and evaluate model performance across key counties in the U.S. Midwest KANI region: Polk (IA), Pulaski (AR), Lancaster (NE), and Johnson (KS), [...]

Runoff potential index for upland-lowland drought assessment in rainfed rice using earth observation and mechanistic crop modelling

Edgar S. Correa

Published: 2025-06-28
Subjects: Engineering, Life Sciences

Drought vulnerability assessment in agricultural systems remains increasingly critical under climate change, yet current approaches are constrained by limitations of existing topographic indices, particularly in low-gradient terrains where the widely-used Topographic Wetness Index (TWI) exhibits numerical instability and fails to detect critical microtopographic variations that control water [...]

Impact of Gas/Liquid Phase Change of CO2 during Injection for Sequestration

Mina Karimi, Elizabeth Cochran, Mehrdad Massoudi, et al.

Published: 2025-06-25
Subjects: Engineering

A SEISMIC MOMENT MAGNITUDE SCALE

Ranjit DAS Das, MUKAT LAL SHARMA, HANS RAJ WASON, et al.

Published: 2025-06-24
Subjects: Engineering, Physical Sciences and Mathematics

Theaimofobtaininga single scale for earthquake magnitudes has led many studies in the past to either develop relationships among various existing scales or develop an altogether new scale to represent a wide range of magnitudes on a single scale. Although a reliable and standardized estimation of earthquake size is a basic requirement for all tectonophysical and engineering applications, [...]

Feasibility of Microbial-Induced Calcite Precipitation in soils polluted by hydrocarbons

Carla Comadran Casas, Philip J. Salter, Ayo Ogundero, et al.

Published: 2025-06-19
Subjects: Engineering

This study presents an investigation on the potential of biostimulation and bioaugmentation of Microbial-Induced Calcite Precipitation (MICP) in soils polluted by polycyclic aromatic hydrocarbons (PAH). Biostimulation of urea hydrolysis by soil autochthonous ureolytic bacteria was not detected over 62 days. Flow cytometry revealed Sproposarcina pasteurii at initial OD600 = 0.01 was able to grow [...]

Instantaneous State InSAR: Estimation and Prediction for Near Real-Time Displacement Monitoring

Yuqing Wang, Wietske S Brouwer, Freek J. van Leijen, et al.

Published: 2025-06-18
Subjects: Engineering

Urban resilience and decision-making rely on continuous monitoring of key safety indicators. The increasing availability of interferometric synthetic aperture radar (InSAR) observations offers a valuable opportunity for near real-time stability monitoring, particularly in the built environment. Traditional InSAR time series methods use batch processing of all available data at a particular moment [...]

Development and Performance Evaluation of a WT-LSTM Hybrid Model for Global Land Meteorological Drought Prediction

Jinfeng Bu, Kebiao Mao, xueqi Xia, et al.

Published: 2025-06-17
Subjects: Engineering, Physical Sciences and Mathematics

In recent years, droughts have become increasingly frequent worldwide, leading to issues such as reduced agricultural yields and ecological degradation in various regions. To mitigate the impact of drought on human survival and development, this study utilizes the Standardized Precipitation Evapotranspiration Index (SPEI) to analyze the spatiotemporal variations of global droughts. The results [...]

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