Results 131 to 140 of about 3,413,140 (351)

Achieving Brazil's Deforestation Target Will Reduce Fire and Deliver Air Quality and Public Health Benefits

Earth's Future, Volume 10, Issue 12, December 2022., 2022
Abstract Climate, deforestation, and forest fires are closely coupled in the Amazon, but models of fire that include these interactions are lacking. We trained machine learning models on temperature, rainfall, deforestation, land‐use, and fire data to show that spatial and temporal patterns of fire in the Amazon are strongly modified by deforestation ...
Edward W. Butt, Luke Conibear, Callum Smith, Jessica C. A. Baker, Richard Rigby, Christoph Knote, Dominick V. Spracklen   +6 more
wiley   +1 more source

Surface water irrigation reservoirs improve groundwater recovery in a heavily stressed aquifer

Journal of Environmental Quality, EarlyView.
Abstract Expansion of irrigated cropland area in eastern Arkansas has led to the formation of regional cones of depression and creation of critical groundwater areas for the Mississippi River Valley alluvial aquifer (MRVA) in Arkansas. In response, use of surface water reservoirs for irrigation in the Grand Prairie critical groundwater area (GPCGA) has
Joshua M. Blackstock, Obembe Odipo, Aaron M. Shew, Michele L. Reba, Joseph M. Massey, Phillip R. Owens, Christopher D. Delhom   +6 more
wiley   +1 more source

Generalization Ability of Deep Learning Algorithms Trained Using SEM Data for Objects Classification

Radio Science, Volume 57, Issue 12, December 2022., 2022
Abstract This paper proposes an efficient method to determine the material of spherical objects and the location of the receiving antenna relative to the object in bi‐static measurements using supervised learning techniques. From a single observation, we compare classification performances resulting from the application of several classifiers on ...
Yasmina Zaky, Nicolas Fortino, Benoit Miramond, Jean‐Yves Dauvignac   +3 more
wiley   +1 more source

Modeling of Nitrogen Dynamics in an Austrian Alpine Forest Ecosystem on Calcareous Soils: A Scenario-Based Risk Assessment under Changing Environmental Conditions

The Scientific World Journal, 2007
We modeled the behavior of an Austrian alpine forest ecosystem on calcareous soils under changing climate and atmospheric nitrogen deposition scenarios.
Friedl Herman, Stefan Smidt, Klaus Butterbach-Bahl, Michael Englisch, Ernst Gebetsroither, Robert Jandl, Klaus Katzensteiner, Manfred Lexer, Friederike Strebl, Sophie Zechmeister-Boltenstern   +9 more
doaj   +1 more source

Coupling a Bat Algorithm with XGBoost to Estimate Reference Evapotranspiration in the Arid and Semiarid Regions of China

Advances in Meteorology, 2019
Accurate estimation of reference evapotranspiration (ETo) is key to agricultural irrigation scheduling and water resources management in arid and semiarid areas. This study evaluates the capability of coupling a Bat algorithm with the XGBoost method (i.e.
Yixiu Han, Jianping Wu, B. Zhai, Yanxin Pan, Guomin Huang, Lifeng Wu, W. Zeng   +6 more
semanticscholar   +1 more source

Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method [PDF]

arXiv
Downscaling (DS) of meteorological variables involves obtaining high-resolution states from low-resolution meteorological fields and is an important task in weather forecasting. Previous methods based on deep learning treat downscaling as a super-resolution task in computer vision and utilize high-resolution gridded meteorological fields as supervision
arxiv  

A Qualitative Investigation of South Korean Women in STEM: Implications for the Psychology of Working Perspective

Journal of Employment Counseling, EarlyView.
ABSTRACT This study explored how contextual factors and the process of adaption shape the work experience of women with young children in science, technology, engineering, and math based on the psychology of working perspective. Consensual qualitative research was used to explore work experiences, contextual influences, and adaptation of 20 ...
Aekyung Jang, Eunjoo Yang
wiley   +1 more source

Performance analysis of energy efficient improved LEACH protocol in IoT networks

IET Communications, EarlyView., 2022
Abstract The Internet of Things incorporates embedded technologies, wireless sensor networks, control and automation technologies, and wearable devices to enable integrated buildings, enterprises, intelligent homes, and wearable devices. Because sensor nodes have limited power, the energy consumption of the Internet of Things network is critical.
Surbhi Bhatia, Ankit Kumar, Adarsh Kumar, Asma Shuhail Alshuhail   +3 more
wiley   +1 more source

Neural Phase Picker Trained on the Japan Meteorological Agency Unified Earthquake Catalog

Earth, Planets and Space
Abstract In Japan, one of the most seismically active nations, seismic data from various institutions are shared in real-time and made accessible via the web, which facilitates research by numerous scholars. The Japan Meteorological Agency (JMA), in collaboration with the Ministry of Education, Culture, Sports, Science, and Technology (MEXT ...
Makoto Naoi, Koji Tamaribuchi, Kengo Shimojo, Shinya Katoh, Shukei Ohyanagi   +4 more
openaire   +2 more sources

Research on Dangerous Flight Weather Prediction based on Machine Learning [PDF]

arXiv
With the continuous expansion of the scale of air transport, the demand for aviation meteorological support also continues to grow. The impact of hazardous weather on flight safety is critical. How to effectively use meteorological data to improve the early warning capability of flight dangerous weather and ensure the safe flight of aircraft is the ...
arxiv