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Preprints

Filtering by Subject: Hydraulic Engineering

Unified Cross-Modal Learning for Hydrological Processes Using Multi-Task Transformer Framework

Bekir Zahit Demiray, Ibrahim Demir

Published: 2025-10-31
Subjects: Environmental Engineering, Environmental Monitoring, Hydraulic Engineering, Hydrology, Water Resource Management

Most deep learning studies in hydrology adopt single-task frameworks that address individual variables such as rainfall or streamflow independently, limiting opportunities for shared learning across related environmental processes. This study introduces a unified multi-task, multi-modal deep learning framework capable of jointly performing 24-hour horizon streamflow forecasting and rainfall [...]

A Static Enthalpy Equilibrium Approach to the Stability of Saturated Sands (Version 2)

Manfred Heinrich Wittig

Published: 2025-10-25
Subjects: Civil and Environmental Engineering, Civil Engineering, Construction Engineering and Management, Earth Sciences, Engineering, Environmental Engineering, Geotechnical Engineering, Hydraulic Engineering, Mineral Physics, Physical Sciences and Mathematics, Sedimentology

This preprint presents a physical formulaton for the stability of saturated granular systems based on a static enthalpy equilibrium. The approach definnes equilibrium as the balance between the gravitationel potential of the granular framework and the hydraulic work of the pore water. From this energetic condition, the limit state and the transition between stable, metastable, and liquefied [...]

Multi-Task Learning as a Step Toward Building General-Purpose Hydrological Forecasting Systems

Bekir Zahit Demiray, Ibrahim Demir

Published: 2025-10-21
Subjects: Environmental Engineering, Environmental Monitoring, Hydraulic Engineering, Hydrology, Multivariate Analysis

Streamflow and soil moisture are two critical variables in the hydrological cycle, linked through infiltration, runoff generation, and groundwater recharge. Traditional forecasting approaches often treat them independently, overlooking interdependencies and limiting predictive skill. This study investigates Multi-Task Learning (MTL) for daily prediction of both variables using the CAMELS dataset [...]

A real time reservoir inflow forecast evaluation framework

Cameron Bracken, Youngjun Son, Vince Tidwell, et al.

Published: 2025-10-16
Subjects: Environmental Engineering, Hydraulic Engineering

Recent advances in data driven hydrologic forecasts have led to a multitude of new and rapidly improving streamflow forecast products and technologies. These often lead hydropower producers to question whether such advances translate into increases in revenue and whether implementing these new forecasts justify the additional associated costs. To address this, we present a general framework that [...]

A Sensitivity Analysis Approach to Identifying Drivers of Streamflow Hysteresis

Emma Christine House, Ehab Meselhe, Marian Muste, et al.

Published: 2025-09-28
Subjects: Civil and Environmental Engineering, Engineering, Hydraulic Engineering

We study the critical interplay between streamflow hysteresis and local hydro-morphologic conditions. Hysteresis strength, which can lead to over 60% errors in discharge estimation with widely accepted monitoring methods, is primarily influenced by local characteristics such as bed slope, roughness, and event wave intensity. Our study used a 1D numerical model to highlight the hysteresis response [...]

A Critical Review of Nature-Based Solutions for Enhancing Climate Resilience and Water Security in Mountain Ecosystems

Umal Manjitha

Published: 2025-09-24
Subjects: Civil and Environmental Engineering, Engineering, Hydraulic Engineering, Other Civil and Environmental Engineering

Mountain ecosystems, functioning as indispensable "water towers," face escalating threats from climate change, land degradation, and water insecurity, jeopardizing the livelihoods of downstream populations. This paper presents a comprehensive critical review of integrated strategies designed to enhance the resilience of these vital socio-ecological systems. It synthesizes the theoretical [...]

Impact of Land Use and Land Cover Changes on Ecosystem Services: A Multi-Module InVEST-LCM Analysis

Fahad Hasan, Yashar Makhtoumi, Gang Chen

Published: 2025-09-24
Subjects: Environmental Engineering, Environmental Studies, Geographic Information Sciences, Hydraulic Engineering, Nature and Society Relations, Remote Sensing

Land use and land cover (LULC) dynamics influence ecological processes and the provision of essential ecosystem services (ESs). So, understanding how LULC changes influence ESs is critical for sustainable land management and conservation planning, especially in rapidly urbanizing watersheds. Despite studies examining individual ecosystem services, there remains a notable research gap in [...]

Spatiotemporal Urban Flood Expansion and Propagation by Percentage of Node in Flood Assessment (PNFA)

Ha Do Minh, Gerald Augusto Corzo Perez, Wilmer Barreto, et al.

Published: 2025-09-18
Subjects: Environmental Engineering, Hydraulic Engineering, Other Civil and Environmental Engineering

Urban pluvial flooding is a complex process shaped by rainfall intensity, drainage system capacity, and urban infrastructure. While previous studies have mapped flood extents, the spatiotemporal evolution of drainage saturation and overflow propagation remain insufficiently explored. This study introduces the Percentage of Node in Flood Assessment (PNFA), integrating the Flood Expansion Rate [...]

Advancing Long-Horizon Hydrological Forecasting: A Mamba-based Approach with Explainable AI for Generalized Streamflow Prediction

Bekir Zahit Demiray, Ibrahim Demir

Published: 2025-09-02
Subjects: Environmental Engineering, Environmental Monitoring, Hydraulic Engineering, Hydrology, Numerical Analysis and Scientific Computing

Accurate long-horizon streamflow forecasting is crucial for water resource management, but existing models often face efficiency and interpretability challenges. This study comprehensively evaluates the Mamba architecture, which utilizes State Space Models for efficient sequence processing, for 120-hour hourly generalized streamflow prediction across 125 diverse Iowa watersheds using 72-hour [...]

HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology

Carlos Erazo Ramirez, Ibrahim Demir

Published: 2025-06-20
Subjects: Civil and Environmental Engineering, Computational Engineering, Education, Environmental Engineering, Hydraulic Engineering, Science and Mathematics Education

Scientific workflow reproducibility for hydrological and environmental analyses remains a challenge due to the heterogeneity of data sources, analysis protocols, and evolving visualization needs. This study introduces HydroBlox, a client-side browser-based framework that supports the creation, execution, and export of hydrological workflows using a visual programming interface. The platform [...]

IMPACTS OF LAND-USE CHANGES ATTRIBUTED TO DISCHARGE LEVEL OF MAHA OYA RIVER BASIN, SRI LANKA

Nuwan Sameera Rankiralage

Published: 2025-06-16
Subjects: Environmental Engineering, Hydraulic Engineering

River discharge in tropical regions are driven by both rainfall and land-use changes. This study quantifies how land-cover change and altered rainfall regimes have affected discharge in the Maha Oya River basin, Sri Lanka. Previous studies suggest that the river basin had been subjected to serious erosion due to increased soil digging, clay mining, and high flood vulnerability over the last three [...]

HydroLang FRAM: Web-Based Framework for Comprehensive Flood Risk and Mitigation Assessment and Communication

Moiyyad Sufi, Carlos Erazo Ramirez, Ibrahim Demir

Published: 2024-12-31
Subjects: Civil Engineering, Environmental Engineering, Hydraulic Engineering

As the frequency and impact of floods continue to rise, real-time systems for assessment and sharing flood risk and mitigation information are crucial for proactive stakeholder engagement, effective decision-making, and public education on flood risks. This study introduces an innovative web-based framework designed to revolutionize access and utilization of flood information for flood risk and [...]

AI-Driven Decision-Making for Water Resources Planning and Hazard Mitigation Using Automated Multi Agents

Likith Anoop Kadiyala, Ramteja Sajja, Yusuf Sermet, et al.

Published: 2024-12-27
Subjects: Civil Engineering, Computational Engineering, Computer and Systems Architecture, Computer Engineering, Ecology and Evolutionary Biology, Education, Engineering, Environmental Engineering, Geotechnical Engineering, Higher Education, Hydraulic Engineering, Operations Research, Systems Engineering and Industrial Engineering, Risk Analysis, Scholarship of Teaching and Learning, Systems Engineering, Terrestrial and Aquatic Ecology, Transportation Engineering

This project simulates the Multi-Hazard Tournament (MHT) framework, a decision support system designed for the U.S. Army Corps of Engineers, using AI agents to enhance decisionmaking processes for flood mitigation and water resource management. The objective of the framework is to develop optimal strategies for protecting water resources, habitats, and communities within a defined budget. The [...]

A Conversational Intelligent Assistant for Enhanced Operational Support in Floodplain Management with Multimodal Data

Vinay Pursnani, Muhammed Yusuf Sermet, Ibrahim Demir

Published: 2024-12-19
Subjects: Artificial Intelligence and Robotics, Civil and Environmental Engineering, Computer Sciences, Databases and Information Systems, Earth Sciences, Environmental Engineering, Environmental Sciences, Environmental Studies, Hydraulic Engineering, Hydrology, Water Resource Management

Floodplain management is crucial for mitigating flood risks and enhancing community resilience, yet floodplain managers often face significant challenges, including the complexity of data analysis, regulatory compliance, and effective communication with diverse stakeholders. This study introduces Floodplain Manager AI, an innovative artificial intelligence (AI) based virtual assistant designed to [...]

A Simple Method for Designing Infiltration Low Impact Development Techniques Considering Effects of Urbanization and Climate Change

Marcus N. Gomes Jr., Cesar A. F. do Lago, Eduardo M. Mendiondo

Published: 2024-10-12
Subjects: Civil Engineering, Environmental Engineering, Hydraulic Engineering

Infiltration-focused low-impact development (LID) solutions aim to gradually absorb surface runoff, playing a critical role in reducing both peak flow rates and runoff volumes. These systems are commonly designed with specific surface areas and controlled ponding depths to provide sufficient storage capacity that counteracts the increased runoff resulting from urban expansion. Nevertheless, [...]

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