Results 51 to 60 of about 15,700 (307)

A Comprehensive Review of AI‐Powered Energy Systems

Energy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 more
wiley   +1 more source

Current and future CO2 emissions from drained peatlands in Southeast Asia [PDF]

, 2010
Peer ...
Jauhiainen, J., Canadell, J. G., J. Kwadijk, Canadell, J.G., Wosten, H., M. Silvius, A. Hooijer, Hooijer, A., Silvius, M., H. Wösten, S. Page, Kwadijk, J., J. Jauhiainen, Page, S., J. G. Canadell   +14 more
core   +1 more source

Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture

Geological Journal, EarlyView.
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi, Ting Liu, Toshiro Hata, Rebecca Muenich   +3 more
wiley   +1 more source

Nutrient Input via Incident Rainfall in a Eucalyptus dunnii Stand in the Pampa biome

Floresta e Ambiente, 2018
We evaluated the nutrient input via incident rainfall in a Eucalyptus dunnii stand in the Brazilian Pampa biome. During the two-year study, we analyzed nutrient concentrations in incident rainfall (P), throughfall via drip (Pi), and stemflow (Et).
Grasiele Dick, Mauro Valdir Schumacher, Dione Richer Momolli, Márcio Viera   +3 more
doaj   +1 more source

New look at understanding hydrological role of forest [PDF]

Сибирский лесной журнал, 2018
The article is concerned with the discussion of the reasons for the contradictions existing in the assessment of the hydrological role of forests. The authors believe that the accumulation of new information related to seemingly well-studied processes ...
A. A. Onuchin, T. A. Burenina, H. Balzter, A. G. Tsykalov   +3 more
doaj   +1 more source

Mapping Land Use/Land Cover Changes and Forest Disturbances in Vietnam Using a Landsat Temporal Segmentation Algorithm

Remote Sensing, 2023
Accurately mapping land use/land cover changes (LULCC) and forest disturbances provides valuable information for understanding the influence of anthropogenic activities on the environment at regional and global scales.
Katsuto Shimizu, Wataru Murakami, Takahisa Furuichi, Ronald C. Estoque   +3 more
doaj   +1 more source

Effectiveness of integrated shrub management and restoration techniques for rehabilitating shrub‐encroached rangelands of South Africa

Grassland Research, EarlyView.
Herbaceous plant recovery following shrub clearing and reseeding in the rangelands of Peddie, Eastern Cape of South Africa. CTL, control; CO, cutting only; CR, cutting and reseeding; UPO, uprooting only; UPR, uprooting and reseeding. Abstract Background Shrub encroachment (SE) drives rangeland degradation, threatening biodiversity and forage ...
Monelisi Makanya, Khanyisa Jama, Mthunzi Mndela, Sinalo Malindie   +3 more
wiley   +1 more source

Drought Risk in Mango and Avocado Orchards: Insights Into Plant Water Relations and Irrigation‐Related Agronomic Solutions

Irrigation and Drainage, EarlyView.
ABSTRACT Climate change is making water availability more uncertain, with growing consequences for the productivity and long‐term sustainability of tropical and subtropical fruit orchards. Mangifera indica L. and Persea americana Mill. both require large amounts of water to sustain growth and productivity.
Eleonora Cataldo
wiley   +1 more source

Effects of the Root System Architecture of Pinus taeda and Phyllostachys edulis on the Index of Hydrological Connectivity in Subtropical Forest Ecosystems

, 2022
The hydrological connectivity below the soil surface can influence the forest structure and function, especially soil and plant productivity. However, few studies have determined the changes in the hydrological connectivity below the soil surface with ...
Lu Wang, Yinghu Zhang, Wenqi Zhang, Zhiying Tang   +3 more
core   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source