Flood inundation modelling: A review of methods, recent advances and uncertainty analysis
This paper reviews state-of-the-art empirical, hydrodynamic and simple conceptual models
for determining flood inundation. It explores their advantages and limitations, highlights the …
for determining flood inundation. It explores their advantages and limitations, highlights the …
[HTML][HTML] Sources of hydrological model uncertainties and advances in their analysis
Water | Free Full-Text | Review: Sources of Hydrological Model Uncertainties and Advances
in Their Analysis Next Article in Journal Assessing the Influence of Compounding Factors to …
in Their Analysis Next Article in Journal Assessing the Influence of Compounding Factors to …
Comprehensive overview of flood modeling approaches: A review of recent advances
As one of nature's most destructive calamities, floods cause fatalities, property destruction,
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …
A review on hydrological models
GK Devia, BP Ganasri, GS Dwarakish - Aquatic procedia, 2015 - Elsevier
Various ongoing researches are there on topics like which model will give more compatible
results with that of observed discharges. It was argued that even complex modeling does not …
results with that of observed discharges. It was argued that even complex modeling does not …
An overview of current applications, challenges, and future trends in distributed process-based models in hydrology
Process-based hydrological models have a long history dating back to the 1960s. Criticized
by some as over-parameterized, overly complex, and difficult to use, a more nuanced view is …
by some as over-parameterized, overly complex, and difficult to use, a more nuanced view is …
[HTML][HTML] Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual …
Long short-term memory (LSTM) models are recurrent neural networks from the field of deep
learning (DL) which have shown promise for time series modelling, especially in conditions …
learning (DL) which have shown promise for time series modelling, especially in conditions …
Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods
The main objective of the present study was to provide a novel methodological approach for
flash flood susceptibility modeling based on a feature selection method (FSM) and tree …
flash flood susceptibility modeling based on a feature selection method (FSM) and tree …
A high‐resolution global flood hazard model
Floods are a natural hazard that affect communities worldwide, but to date the vast majority
of flood hazard research and mapping has been undertaken by wealthy developed nations …
of flood hazard research and mapping has been undertaken by wealthy developed nations …
Estimation of water provision service for monsoon catchments of South China: Applicability of the InVEST model
D Yang, W Liu, L Tang, L Chen, X Li, X Xu - Landscape and Urban …, 2019 - Elsevier
With recognizing the value of ecosystem services to society, the efforts to manage
ecosystem services have increased. One such tool to help manage ecosystem services is …
ecosystem services have increased. One such tool to help manage ecosystem services is …
Surface soil moisture retrievals from remote sensing: Current status, products & future trends
GP Petropoulos, G Ireland, B Barrett - Physics and Chemistry of the Earth …, 2015 - Elsevier
Abstract Advances in Earth Observation (EO) technology, particularly over the last two
decades, have shown that soil moisture content (SMC) can be measured to some degree or …
decades, have shown that soil moisture content (SMC) can be measured to some degree or …