Contribution and behavioral assessment of physical and anthropogenic factors for soil erosion using integrated deep learning and game theory
Ensuring sustainable management of soil erosion is of utmost importance to prevent its
adverse effects. Unfortunately, this issue has received limited attention in the past, therefore …
adverse effects. Unfortunately, this issue has received limited attention in the past, therefore …
Integrating remote sensing derived indices and machine learning algorithms for precise extraction of small surface water bodies in the lower Thoubal river watershed …
Surface water resources have witnessed various challenges namely shortage of water
availability, deterioration in water quality and reduction of water bodies due to climate …
availability, deterioration in water quality and reduction of water bodies due to climate …
Application of deep learning algorithms to correct bias in CMIP6 simulations of surface air temperature over the Indian monsoon core region
A Sabarinath, A Naga Rajesh… - International Journal …, 2023 - Wiley Online Library
Indian subcontinent witnessed a rise in surface air temperature (SAT) in recent decades,
during the summer months of March, April and May. The monsoon core region (MCR) of …
during the summer months of March, April and May. The monsoon core region (MCR) of …
Analyzing and forecasting climate variability in Nainital district, India using non-parametric methods and ensemble machine learning algorithms
The mountainous areas are vulnerable to climate change and may have many socio-
economic and environmental implications. The changing pattern of meteorological variables …
economic and environmental implications. The changing pattern of meteorological variables …
Artificial neural network-empowered projected future rainfall intensity-duration-frequency curves under changing climate
With the increasing trend of greenhouse gases in the atmosphere, by 2052 the temperature
is expected to rise by 1.5° C from the Pre-industrial Period, affecting future extreme rainfall …
is expected to rise by 1.5° C from the Pre-industrial Period, affecting future extreme rainfall …
Hydroclimatic Trends and Streamflow Response to Recent Climate Change: An Application of Discrete Wavelet Transform and Hydrological Modeling in the Passaic …
F Oteng Mensah, CA Alo, D Ophori - Hydrology, 2024 - mdpi.com
The exigency of the current climate crisis demands a more comprehensive approach to
addressing location-specific climate impacts. In the Passaic River Basin (PRB), two bodies …
addressing location-specific climate impacts. In the Passaic River Basin (PRB), two bodies …
Effectiveness of machine learning ensemble models in assessing groundwater potential in Lidder watershed, India
Groundwater is under stress due to the growth of population, urbanization and
industrialization, especially in developing countries. Consequently, there is a shortage of …
industrialization, especially in developing countries. Consequently, there is a shortage of …
The Trends and Spatiotemporal Variability of Temperature and Rainfall in Hulbarag District, Silte Zone, Ethiopia
KA Kerebo, YK Bizuneh, AG Mekonnen, Y Mohammed - Heliyon, 2024 - cell.com
Ethiopia gets its agricultural water primarily from rainfall. This study was intended to
investigate current climate variability and trends across space and time. Daily gridded …
investigate current climate variability and trends across space and time. Daily gridded …
Multi-decade land cover/land use dynamics and future predictions for Zambia: 2000–2030
CB Chisanga, D Phiri, KH Mubanga - Discover Environment, 2024 - Springer
Human LULCC is the many driver of environmental changes. Accurate and up-to-date
current and predicted information on LULCC is important in land use planning and natural …
current and predicted information on LULCC is important in land use planning and natural …