A multi-source data-driven framework for probabilistic flood risk assessment using cascade machine learning models: case study in the Sichuan Basin. [PDF]
Lu Y, Huang Y, Liu X.
europepmc +1 more source
Aplicação de dois modelos hidrológicos em uma pequena bacia rural no município de Joinville (SC) [PDF]
Vescovi, Jorge Miguel
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The impact of land use land cover (LULC) change and climate variability on infiltration/runoff evolution in the Dar Es Salaam coastal floodplain. [PDF]
De Filippi FM +7 more
europepmc +1 more source
ANN-ANFIS model for optimising methylic composite biodiesel from neem and castor oil and predicting emissions of the biodiesel blend. [PDF]
Zhu CZ +7 more
europepmc +1 more source
Integrating geospatial intelligence and machine learning for flood susceptibility mapping. [PDF]
Rahimi M +9 more
europepmc +1 more source
Integration of Gaussian process regression and K means clustering for enhanced short term rainfall runoff modeling. [PDF]
Kisi O +5 more
europepmc +1 more source
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Application of the HEC-HMS model for runoff simulation in a tropical catchment
Environmental Modelling and Software, 2013Hydrologic simulation employing computer models has advanced rapidly and computerized models have become essential tools for understanding human influences on river flows and designing ecologically sustainable water management approaches. The HEC-HMS is a reliable model developed by the US Army Corps of Engineers that could be used for many ...
Mohamed M M Najim
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Developing an Efficient Auto-Calibration Algorithm for HEC-HMS Program
Water Resources Management, 2016Two auto-calibration methods, namely Nelder-Mead (NM) and Univariate-Gradient (UG) and a manual approach are available for calibrating the HEC-HMS program. However, their being either inefficient or time consuming makes it difficult to work with HEC-HMS especially when using a snowmelt module in a continuous mode. The main objective of this paper is to
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Simulation of runoff using HEC-HMS for ungauged catchment
AIP Conference Proceedings, 2021Hydrological modelling is a conceptual representation of a complex characteristic of real hydrologic features which developed to understand, analyse, predict and manage water resources in a watershed. The simulation of surface runoff was developed in the catchment of centre in Perlis State by using Hydrologic Modelling System (HEC-HMS).
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Integration of HEC-RAS and HEC-HMS with GIS in Flood Modeling and Flood Hazard Mapping [PDF]
SustainabilityFloods are among the most devastating disasters in terms of socio-economics and casualties. However, these natural disasters can be managed and their effects can be minimized by flood modeling performed before the occurrence of a flood.
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