Results 41 to 50 of about 639 (183)

Evaluation of a weather forecasting model and HEC-HMS for flood forecasting: case study of Talesh catchment

Applied Water Science
Reports demonstrate that floods are among the most prevalent and deadliest natural disasters affecting 520 million people annually. The present study seeks to evaluate flood forecasting using the weather research and forecasting (WRF) model and the ...
Mohammad Reza Goodarzi, Mohammad Javad Poorattar, Majid Vazirian, Ali Talebi   +3 more
doaj   +1 more source

Analisis Banjir pada Polder Sunter Timur II dengan Menggunakan HEC-RAS (Ras Mapper)

Teras Jurnal: Jurnal Teknik Sipil
Abstrak Banjir di Jakarta menimbulkan kerusakan dan kerugian, menjadi latar belakang dilakukannya analisis banjir di Polder Sunter Timur II yang disajikan dalam makalah ini.
Agis Setiyowati, Evi Anggraheni
doaj   +1 more source

Forecasting flood inundation areas of Attanagalu Oya

Ceylon Journal of Science, 2022
Flood is the most common natural disaster in Sri Lanka. Therefore, it is important to identify future flood-prone areas to mitigate damages caused by a flood.
M. L. P. Anuruddhika, K. K. K. R. Perera, L. P. N. D. Premarathna, W. P. T. Hansameenu, V. P. A. Weerasinghe   +4 more
doaj   +1 more source

Sex Differences in Advanced HIV Disease at Presentation in Care Among People Living With HIV in Latin America and the Caribbean

Journal of the International AIDS Society, Volume 29, Issue 8, August 2026.
Abstract Introduction Despite an overall recent decline of 28% in the region, AIDS‐related deaths have increased among women in some Latin American countries. Low HIV risk perception among women may contribute to late diagnosis. We compared advanced HIV disease (AHD) at care enrolment between males and females in Latin America and the Caribbean ...
Yanink Caro‐Vega, Jessica Mejía‐Castrejón, Lorena Guerrero‐Torres, Carina Cesar, Claudia P. Cortes, Daisy Maria Machado, Paula M. Luz, Jorge Andrade‐Pinto, Marco Tulio Luque, Eduardo Gotuzzo, Vanessa Rouzier, Jessica L. Castilho, Peter F. Rebeiro, Brenda Crabtree‐Ramírez, for the Caribbean, Central & South American Network for HIV Epidemiology (CCASAnet)   +15 more
wiley   +1 more source

Comparing HEC-HMS and HEC-RAS for Continuous, Rain-on-Grid, Urban Watershed Modeling

Hydrology
The application of two-dimensional (2D) hydrologic and hydraulic modeling tools is increasing for overland flow simulation, as they represent spatial changes in depth, velocity, and flow conditions more accurately.
Ashmita Poudel, Jose G. Vasconcelos
doaj   +1 more source

Assessing the Uncertainty Associated with Flood Features due to Variability of Rainfall and Hydrological Parameters

Advances in Civil Engineering, 2020
An assessment of uncertainty in flood hydrograph features, e.g., peak discharge and flood volume due to variability in the rainfall-runoff model (HEC-HMS) parameters and rainfall characteristics, e.g., depth and duration, is conducted.
Ahmad Sharafati, Mohammad Reza Khazaei, Mohamed Salem Nashwan, Nadhir Al-Ansari, Zaher Mundher Yaseen, Shamsuddin Shahid   +5 more
doaj   +1 more source

Evaluation of the HEC-HMS model for the hydrological simulation of a paramo basin

DYNA, 2019
In this study, the performance of the HEC-HMS model was evaluated for the simulation of rain-runoff processes in a paramo basin of approximately 21. 8 km2, south of Ecuador. The calibration and validation comprises the period of July-2013 to June-2016 with daily data.
Luis Manuel Timbe Castro, Patricio Javier Crespo Sánchez, Juan José Cabrera-Balarezo   +2 more
openaire   +4 more sources

Application of HEC-HMS for rainfall-runoff modelling in Mozambique and France [PDF]

Science and practice for an uncertain future, 2021
In the present study, the suitability of HEC-HMS to simulate event-based rainfall-runoff in the catchments of Revubue in Mozambique and Ardèche in France was evaluated. These are tributaries of two important rivers in Africa (Zambezi) and Europe (Rhone).
openaire   +1 more source

A Next‐Generation Snow Albedo Parameterization for Climate Modeling Using Constrained Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract We demonstrate a data‐driven parameterization framework for snow albedo evolution using a constrained auto‐regressive neural differential equation that directly predicts snow albedo change from standard meteorological inputs. After training with multi‐year in situ and satellite observations from a wide variety of locations, the scheme ...
A. Charbonneau, K. Deck, T. Schneider
wiley   +1 more source

Compatibility of personal care thickening polymers in sulphate‐free surfactants

International Journal of Cosmetic Science, Volume 48, Issue 4, Page 685-699, August 2026.
Phase behaviour for alpha olefin sulfonate surfactant 10–15 wt% combined with 1 wt% sodium carboxy methyl cellulose, clearly indicating the sensitivity in miscibility when adding various levels of background salt. Abstract Objective Formulators today know that when traditional surfactants and polymers are replaced new problems occur. What was before a ‘
Tobias Halthur, Jonas Carlstedt, Marta Gubitosi, Debora W. Chang, Eric S. Johnson   +4 more
wiley   +1 more source