Radar for hydrology: Unfulfilled promise or unrecognized potential?
A Berne, WF Krajewski - Advances in Water Resources, 2013 - Elsevier
Hydrology requires accurate and reliable rainfall input. Because of the strong spatial and
temporal variability of precipitation, estimation of spatially distributed rain rates is …
temporal variability of precipitation, estimation of spatially distributed rain rates is …
Evaluating the performance of random forest for large-scale flood discharge simulation
L Schoppa, M Disse, S Bachmair - Journal of Hydrology, 2020 - Elsevier
The machine learning algorithm 'random forest'has been applied in many areas of water
resources research including discharge simulation. Due to low setup and operation cost …
resources research including discharge simulation. Due to low setup and operation cost …
A machine learning framework for multi-hazards modeling and mapping in a mountainous area
This study sought to produce an accurate multi-hazard risk map for a mountainous region of
Iran. The study area is in southwestern Iran. The region has experienced numerous extreme …
Iran. The study area is in southwestern Iran. The region has experienced numerous extreme …
Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms
Flood susceptibility maps are useful tool for planners and emergency management
professionals in the early warning and mitigation stages of floods. In this study, Sentinel-1 …
professionals in the early warning and mitigation stages of floods. In this study, Sentinel-1 …
Effect of infiltration rate changes in urban soils on stormwater runoff process
X Ren, N Hong, L Li, J Kang, J Li - Geoderma, 2020 - Elsevier
Rainstorms and floods in cities has increased largely in recent years because of both
extreme climate events and city imperviousness increasing. It's generally acknowledged that …
extreme climate events and city imperviousness increasing. It's generally acknowledged that …
Multi-hazard exposure mapping using machine learning techniques: A case study from Iran
Mountainous areas are highly prone to a variety of nature-triggered disasters, which often
cause disabling harm, death, destruction, and damage. In this work, an attempt was made to …
cause disabling harm, death, destruction, and damage. In this work, an attempt was made to …
On the effects of small scale space–time variability of rainfall on basin flood response
The spatio-temporal variability of rainfall, especially at fine temporal and spatial scales can
significantly affect flood generation, leading to a large variability in the flood response and …
significantly affect flood generation, leading to a large variability in the flood response and …
The impact of rainfall space‐time structure in flood frequency analysis
Flood hydrologic response is influenced by rainfall structure (ie, variability in space and
time). How this structure shapes flood frequency is unknown, and flood frequency analyses …
time). How this structure shapes flood frequency is unknown, and flood frequency analyses …
[HTML][HTML] Hydrologic investigations of radar-rainfall error propagation to rainfall-runoff model hydrographs
Rainfall is arguably the most important yet most variable input for rainfall-runoff hydrologic
models. In this study, the authors search for the characteristics of radar-rainfall estimates that …
models. In this study, the authors search for the characteristics of radar-rainfall estimates that …
Exploration of warm-up period in conceptual hydrological modelling
One of the important issues in hydrological modelling is to specify the initial conditions of the
catchment since it has a major impact on the response of the model. Although this issue …
catchment since it has a major impact on the response of the model. Although this issue …