[HTML][HTML] Synergizing google earth engine and earth observations for potential impact of land use/land cover on air quality

KH Jodhani, N Gupta, AD Parmar, JD Bhavsar… - Results in …, 2024 - Elsevier
Abstract Changes in land use and land cover are imperative drivers of climate change in
urbanization. The conversion of land use modifies the physical and thermal characteristics of …

Flood risk index in data-scarce river basins using the AHP and GIS approach

P Ramkar, SM Yadav - Natural Hazards, 2021 - Springer
The flood risk assessment study is an important factor in order to identify the critical or high-
risk zone areas. This research intends to develop a flood risk index map of data-scare river …

Research hotspots and frontiers of mountain flood disaster: bibliometric and visual analysis

Z Liu, Z Yang, M Chen, H Xu, Y Yang, J Zhang, Q Wu… - Water, 2023 - mdpi.com
In the context of climate change, enhanced human activities and ecological changes, the
danger level for mountain floods has increased significantly, posing direct or potential …

[HTML][HTML] Hyperparameter optimization of regional hydrological LSTMs by random search: A case study from Basque Country, Spain

F Hosseini, C Prieto, C Álvarez - Journal of Hydrology, 2024 - Elsevier
This paper introduces a novel approach for hyperparameter optimization of long short-term
memory networks (LSTMs) to achieve highly accurate hourly streamflow and water level …

UAV based comprehensive modelling approach for flood hazard assessment and mitigation planning

K Darji, U Vyas, D Patel, SK Singh, AK Dubey… - … of the Earth, Parts A/B/C, 2024 - Elsevier
The assessment of flood hazard in semi-arid region under the scare data situation is a
challenging task under the changing climatic situation. Therefore, the present research is …

Flood risk index map** in data scarce region by considering GIS and MCDA (FRI map** in data scarce region by considering GIS and MCDA)

SK Ray - Environment, Development and Sustainability, 2024 - Springer
Climate change is responsible for triggering one of the most destructive natural disasters
known as flooding. The flood risk index quantifies the vulnerability of an area to flooding …

Mesh grid stability and its impact on flood inundation through (2D) hydrodynamic HEC-RAS model with special use of Big Data platform—a study on Purna River of …

AI Pathan, PG Agnihotri, D Patel, C Prieto - Arabian Journal of …, 2022 - Springer
A thorough examination of flood hydrodynamics is an important step in determining a flood-
prone area. The performance of a hydrodynamic model can be evaluated by some important …

Parameter regionalization with donor catchment clustering improves urban flood modeling in ungauged urban catchments

C Hu, J **a, D She, Z **g, S Hong… - Water Resources …, 2024 - Wiley Online Library
The lack of discharge observations and reliable drainage information is a pervasive problem
in urban catchments, resulting in difficulties in parameterizing urban hydrological models …

How to mitigate flood events similar to the 1979 catastrophic floods in lower Tagus

D Fernández-Nóvoa, AM Ramos… - … Hazards and Earth …, 2022 - nhess.copernicus.org
The floods that struck lower Tagus valley in February 1979 correspond to the most intense
floods in this river and affected the largest number of people in a river flow event in Portugal …

Identification of dominant hydrological mechanisms using Bayesian inference, multiple statistical hypothesis testing, and flexible models

C Prieto, D Kavetski, N Le Vine… - Water Resources …, 2021 - Wiley Online Library
In hydrological modeling, the identification of model mechanisms best suited for
representing individual hydrological (physical) processes is of major scientific and …