Drought and heat stress on cotton genotypes suggested agro-physiological and biochemical features for climate resilience
This study aimed to investigate the impact of individual drought, heat, and combined drought
and heat stress on twelve cotton genotypes, including eight tolerant and four susceptible …
and heat stress on twelve cotton genotypes, including eight tolerant and four susceptible …
[HTML][HTML] Advancing hydrology through machine learning: insights, challenges, and future directions using the CAMELS, caravan, GRDC, CHIRPS, PERSIANN, NLDAS …
Machine learning (ML) applications in hydrology are revolutionizing our understanding and
prediction of hydrological processes, driven by advancements in artificial intelligence and …
prediction of hydrological processes, driven by advancements in artificial intelligence and …
Trace element pollution tracking in the complex multi-aquifer groundwater system of Al-Hassa oasis (Saudi Arabia) using spatial, chemometric and index-based …
In a global context, trace element pollution assessment in complex multi-aquifer
groundwater systems is important, considering the growing concerns about water resource …
groundwater systems is important, considering the growing concerns about water resource …
Prediction of surface urban heat island based on predicted consequences of urban sprawl using deep learning: A way forward for a sustainable environment
The present work aimed at the spatiotemporal analysis of Land Surface Temperature (LST)
and several land-use land-cover spectral indices, namely Normalized Difference Vegetation …
and several land-use land-cover spectral indices, namely Normalized Difference Vegetation …
[HTML][HTML] On the exact soliton solutions and different wave structures to the modified Schrödinger's equation
Solitons are specialized solutions to certain nonlinear partial differential equations (PDEs)
that behave like localized waves. They maintain their shape and speed as they propagate …
that behave like localized waves. They maintain their shape and speed as they propagate …
Monitoring and prediction of the LULC change dynamics using time series remote sensing data with Google Earth Engine
Urbanization is a significant global problem affecting many regions facing climate change.
Land use land cover (LULC), land surface temperature (LST), urban sprawl, and significant …
Land use land cover (LULC), land surface temperature (LST), urban sprawl, and significant …
A global meta-analysis of radiological contamination in soils and Monte Carlo simulation-oriented hazards evaluation
Soil pollution caused by radionuclides has become a global concern. However, previous
research has mostly focused on specific sites or limited locations, which may not provide a …
research has mostly focused on specific sites or limited locations, which may not provide a …
Development of the artificial neural network's swarm-based approaches predicting East Azerbaijan landslide susceptibility map**
Y Sun, H Dai, L Xu, A Asaditaleshi… - Environment …, 2023 - Springer
The objective of this investigation is to produce maps identifying areas prone to landslides
(LSMs) by utilizing multiple machine learning techniques, including the harmony search …
(LSMs) by utilizing multiple machine learning techniques, including the harmony search …
Forecasting actual evapotranspiration without climate data based on stacked integration of DNN and meta-heuristic models across China from 1958 to 2021
As a non-linear phenomenon that varies along with agro-climatic conditions alongside many
other factors, Evapotranspiration (ET) process represents a complexity when be assessed …
other factors, Evapotranspiration (ET) process represents a complexity when be assessed …
Unlocking the hidden potential: groundwater zone map** using AHP, remote sensing and GIS techniques
RS Shelar, SB Nandgude, CB Pande… - … , Natural Hazards and …, 2023 - Taylor & Francis
Groundwater resource problems are increasing development and planning challenges due
to climate change and overexploitation, necessitating assessments of their potential and …
to climate change and overexploitation, necessitating assessments of their potential and …