Results 91 to 100 of about 639 (183)

Urban flash floods modeling in Mzuzu City, Malawi based on Sentinel and MODIS data

Frontiers in Climate
Floods are major hazard in Mzuzu City, Malawi. This study applied geospatial and hydrological modeling techniques to map flood incidences and hazard in the city.
Webster Gumindoga, Chikumbutso Liwonde, Donald Tendayi Rwasoka, Pedzisai Kowe, Auther Maviza, James Magidi, Lloyd Chikwiramakomo, Moises de Jesus Paulo Mavaringana, Eric Tshitende   +8 more
doaj   +1 more source

Hydrological Analysis of Batu Dam, Malaysia in the Urban Area: Flood and Failure Analysis Preparing for Climate Change. [PDF]

Int J Environ Res Public Health, 2022
Allias Omar SM, Wan Ariffin WNH, Mohd Sidek L, Basri H, Moh Khambali MH, Ahmed AN.   +5 more
europepmc   +1 more source

Hydrological Modeling using HEC-HMS

International Journal for Research in Applied Science and Engineering Technology, 2018
openaire   +1 more source

Review on the HEC-HMS Rainfall-Runoff Simulation Model

International Journal of Agricultural Science and Research, 2020
openaire   +1 more source

Simulation of streamflow using hydrologic modeling system HEC-HMS

, 2020
152
openaire   +1 more source

Floods modeling and analysis for Dubai using HEC-HMS model and remote sensing using GIS. [PDF]

Sci Rep
Khan IR, Elmahdy SI, Rustum R, Khan Q, Mohamed MM.   +4 more
europepmc   +1 more source

Realistic daily discharge modelling in data-deficient regions using DL-assisted, parametrically-optimized hydrological model. [PDF]

Sci Rep
Necesito IV, Lee J, Baek S, Kang Y, Kim DY, Kim K.   +5 more
europepmc   +1 more source

Design storm estimation for flood risk assessment in the temperate Himalayan basin using hydrological modelling. [PDF]

Sci Rep
Attar MI, Khan JN, Altaf Y, Alsubih M, Naseer S, Kumar R, Bhat OA, Bangroo SA, Sharma MK.   +8 more
europepmc   +1 more source

Dual-Porosity (Ta_0.2Nb_0.2Ti_0.2Zr_0.2Hf_0.2)C High-Entropy Ceramics with High Compressive Strength and Low Thermal Conductivity Prepared by Pressureless Sintering. [PDF]

Materials (Basel), 2023
Yang Q, Li C, Ouyang H, Gao R, Shen T, Huang J.   +5 more
europepmc   +1 more source

Climate-driven flood hazard assessment in data-scarce mountainous basins using a GIS-based machine learning and hydrodynamic modelling under CMIP6 SSP scenarios. [PDF]

Sci Rep
Khan S, Khan AU, Alodah A, Azeem A, Waqas M, Nahas F, Rebouh NY, Youssef YM.   +7 more
europepmc   +1 more source