Results 61 to 70 of about 412,263 (413)
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology [PDF]
arXiv, 2023 Accurate hydrological understanding and water cycle prediction are crucial for addressing scientific and societal challenges associated with the management of water resources, particularly under the dynamic influence of anthropogenic climate change. Existing reviews predominantly concentrate on the development of machine learning (ML) in this field ...
arxiv
Reducing Surface Wetness Leads to Tropical Hydrological Cycle Regime Transition [PDF]
, 2021 Earth's modern climate is characterized by wet, rainy deep tropics, however paleoclimate and planetary science have revealed a wide range of hydrological cycle regimes connected to different external parameters. Here we investigate how surface wetness affects the tropical hydrological cycle.
arxiv +1 more source
, 2010 When applied to wetlands, the science of hydrology is concerned with how the storage and movement of water into and out of a wetland affects the plants and animals, and the soils on which they grow.
Campbell, David I.
core +1 more source
Applied Economic Perspectives and Policy, EarlyView.Abstract Extreme weather events are worsening the fragile rural infrastructure in the United States, impacting trade flows of agricultural products. The Mississippi River, vital for transporting agricultural commodities, reached historic lows during the 2022 and 2023 fall harvests, increasing transportation costs and lowering crop prices.
James L. Mitchell, Hunter D. Biram
wiley +1 more source
The global hydrology education resource [PDF]
, 2011 This article is a selective overview of a range of contemporary teaching resources currently available globally for university hydrology educators, with an emphasis on web-based resources.
Bardsley, W. Earl +1 more
core +1 more source
Automated Detection of Hillforts in Remote Sensing Imagery With Deep Multimodal Segmentation
Archaeological Prospection, EarlyView.ABSTRACT Recent advancements in remote sensing and artificial intelligence can potentially revolutionize the automated detection of archaeological sites. However, the challenging task of interpreting remote sensing imagery combined with the intricate shapes of archaeological sites can hinder the performance of computer vision systems.
Daniel Canedo +7 more
wiley +1 more source
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2017 1. Definitions. 2. Scope of Hydrology. 3. The Hydrological Cycle. 4. Historical Background. 5. Main Components Of The Hydrological Cycle. 5.1. Precipitation. 5.2. Interception. 5.3. Infiltration. 5.4. Evapotranspiration. 5.5. Soil moisture.
semanticscholar +1 more source
CleanMat, EarlyView.Iron‐based catalysts activate peroxymonosulfate (PMS) to generate high‐valent iron‐oxo species for water decontamination and clean water production. The activation efficiency of PMS varies significantly depending on iron catalyst properties, while the generation of reactive high‐valent iron intermediates is governed by catalyst characteristics ...
Junpeng Guo +8 more
wiley +1 more source
Scientific Reports, 2022 We use a national citizen science monitoring scheme to quantify how agricultural intensification affects honeybee diet breadth (number of plant species).
Ben A. Woodcock +15 more
doaj +1 more source
A Bayesian Surveillance Model to Track Variable Rainfall-Runoff Responses for Small Watersheds [PDF]
arXiv, 2021 Understanding dynamics of hydrological responses is essential in producing skillful runoff forecast. This can be quantitatively done by tracking changes in hydrology model parameters that represent physical characteristics. In this study, we implement a Bayesian estimation method in continuously estimating hydrology model parameters given observations ...
arxiv