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A contemporary systematic review of Cyberinfrastructure Systems and Applications for Flood and Drought Data Analytics and Communication
Hydrometeorological disasters, including floods and droughts, have intensified in both
frequency and severity in recent years. This trend underscores the critical role of timely …
frequency and severity in recent years. This trend underscores the critical role of timely …
State-level multidimensional agricultural drought susceptibility and risk assessment for agriculturally prominent areas
Given the growing climate variability, quantifying droughts has gained significant
importance, particularly in agriculturally concentrated areas such as Iowa. This study …
importance, particularly in agriculturally concentrated areas such as Iowa. This study …
A priori physical information to aid generalization capabilities of neural networks for hydraulic modeling
The application of Neural Networks to river hydraulics and flood map** is fledgling,
despite the field suffering from data scarcity, a challenge for machine learning techniques …
despite the field suffering from data scarcity, a challenge for machine learning techniques …
Harmful algal bloom prediction using empirical dynamic modeling
Abstract Harmful Algal Blooms (HABs) can originate from a variety of reasons, including
water pollution coming from agriculture, effluent from treatment plants, sewage system leaks …
water pollution coming from agriculture, effluent from treatment plants, sewage system leaks …
Testing protocols for smoothing datasets of hydraulic variables acquired during unsteady flows
Flood wave propagation involves complex flow variable dependencies. Continuous in situ
hydrograph peak magnitude and timing data provide the most relevant information for …
hydrograph peak magnitude and timing data provide the most relevant information for …
Crop yield prediction based on reanalysis and crop phenology data in the agroclimatic zones
Crop yield and phenological stages are remarkably sensitive to not only environmental
factors like atmospheric conditions and the physical properties of soils but also agricultural …
factors like atmospheric conditions and the physical properties of soils but also agricultural …
A Phenology-Dependent Analysis for Identifying Key Drought Indicators for Crop Yield based on Causal Inference and Information Theory
Ö Baydaroğlu, S Yeşilköy, I Demir - 2024 - eartharxiv.org
Drought indicators, which are quantitative measurements of drought severity and duration,
are used to monitor and predict the risk and effects of drought, particularly in relation to the …
are used to monitor and predict the risk and effects of drought, particularly in relation to the …
Spatiotemporal Shift and Heterogeneity of Rain-on-Snow Events
S Yeşilköy, Ö Baydaroğlu - 2024 - eartharxiv.org
The rapid snowmelt that typically occurs after snow accumulates at low temperatures and
precipitation develops at higher temperatures is a defining characteristic of rain-on-snow …
precipitation develops at higher temperatures is a defining characteristic of rain-on-snow …
Co** with Information Extraction from In-Situ Data Acquired in Natural Streams
Ö Baydaroğlu, M Muste, AB Cikmaz, K Kim, E Meselhe… - 2024 - eartharxiv.org
Flood waves propagating in natural streams are highly complex flow situations with intricate
dependencies among flow variables that are still not well understood. The most relevant …
dependencies among flow variables that are still not well understood. The most relevant …
Deep Learning-Based Semantic Segmentation for Detecting Marine Oil Spill
A Ibrahim - 2024 - essay.utwente.nl
The rapid expansion of global maritime industries has increased the risk of oil spills, which
can cause extensive marine pollution. Due to their rapid spread, oil spills often negatively …
can cause extensive marine pollution. Due to their rapid spread, oil spills often negatively …