Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives
Extreme events such as heat waves and cold spells, droughts, heavy rain, and storms are
particularly challenging to predict accurately due to their rarity and chaotic nature, and …
particularly challenging to predict accurately due to their rarity and chaotic nature, and …
Green infrastructure for urban flood resilience: a review of recent literature on bibliometrics, methodologies, and typologies
M Khodadad, I Aguilar-Barajas, AZ Khan - Water, 2023 - mdpi.com
Urban flood resilience can critically diminish the negative effects of extreme climatic
conditions. In recent decades, green infrastructure has been gaining attention among …
conditions. In recent decades, green infrastructure has been gaining attention among …
[HTML][HTML] Spatial and wavelet analysis of precipitation and river discharge during operation of the Three Gorges Dam, China
Abstract The Three Gorges Dam and Reservoir on the Yangtze River is one of the world's
largest dams. After the dam's construction in 1997, the reservoir started filling up, expanding …
largest dams. After the dam's construction in 1997, the reservoir started filling up, expanding …
Quantitative analysis of land use and land cover dynamics using geoinformatics techniques: A case study on Kolkata metropolitan development authority (KMDA) in …
One of the most valuable approaches in spatial analysis for a better understanding of the
hydrological response of a region or a watershed is certainly the analysis of the well-known …
hydrological response of a region or a watershed is certainly the analysis of the well-known …
[HTML][HTML] Advancements in daily precipitation forecasting: a deep dive into daily precipitation forecasting hybrid methods in the tropical climate of Thailand
Climate change and increasing water demands underscore the importance of water
resource management. Precise precipitation forecasting is critical to effective management …
resource management. Precise precipitation forecasting is critical to effective management …
[HTML][HTML] Estimating of heavy metal concentration in agricultural soils from hyperspectral satellite sensor imagery: Considering the sources and migration pathways of …
L Yao, M Xu, Y Liu, R Niu, X Wu, Y Song - Ecological Indicators, 2024 - Elsevier
The evolution of hyperspectral remote sensing and artificial intelligence technologies has
led to a surge in their application for predicting Soil Heavy Metal Concentrations (SHMC) …
led to a surge in their application for predicting Soil Heavy Metal Concentrations (SHMC) …
Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
Atmospheric extreme events cause severe damage to human societies and ecosystems.
The frequency and intensity of extremes and other associated events are continuously …
The frequency and intensity of extremes and other associated events are continuously …
Multi-step ahead groundwater level forecasting in Grand Est, France: Comparison between stacked machine learning model and radial basis function neural network
In recent years, the increasing influence of climate change on the water cycle has
emphasized the significance of analyzing and forecasting groundwater level (GWL) for …
emphasized the significance of analyzing and forecasting groundwater level (GWL) for …
[HTML][HTML] Long-time series assessment of the sustainable development of Xiamen City in China based on ecological footprint calculations
J Dai, Y Ouyang, J Hou, L Cai - Ecological Indicators, 2023 - Elsevier
Ecological footprint is an operational quantitative method to convert the biological resources
consumed by human beings and the wastes discharged into bioproductive land area …
consumed by human beings and the wastes discharged into bioproductive land area …
Comparative study of cloud evolution for rainfall nowcasting using AI-based deep learning algorithms
X Jiang, J Chen, X Chen, W Wong, M Wang… - Journal of Hydrology, 2024 - Elsevier
It is a critical need to provide timely and valuable alerts of rainstorms and floods to the
public. However, it still remains a world-class challenge to achieve serviceable nowcasting …
public. However, it still remains a world-class challenge to achieve serviceable nowcasting …