Results 31 to 40 of about 13,850,845 (234)

Comparison of machine learning and process-based SWAT model in simulating streamflow in the Upper Indus Basin

open access: yesApplied Water Science, 2022
This study appraised and compared the performance of process-based hydrological SWAT (soil and water assessment tool) with a machine learning-based multi-layer perceptron (MLP) models for simulating streamflow in the Upper Indus Basin.
Khalil Ur Rahman   +8 more
doaj   +1 more source

A Coupled AquaCrop–Richards Model for Improved Crop Yield Prediction Through Physically Based Soil Water Dynamics

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT Crop modelling is essential for agricultural water management but often relies on simplified water balance routines that limit representation of soil moisture dynamics. To address this limitation, we developed a coupled model that integrates the 1‐D Richards equation, solved using a finite difference method into the FAO AquaCrop.
Krishna Panthi   +2 more
wiley   +1 more source

Calibration and Validation of SWAT for the Upper Maquoketa River Watershed, June 2005 [PDF]

open access: yes, 2005
A validation study has been performed using the Soil and Water Assessment Tool (SWAT) model with data collected for the Upper Maquoketa River Watershed (UMRW), which drains over 16,000 ha in northeast Iowa.

core  

Occurrence of metolachlor and trifluralin losses in the Save river agricultural catchment during floods [PDF]

open access: yes, 2011
Rising pesticide levels in streams draining intensively managed agricultural land have a detrimental effect on aquatic ecosystems and render water unfit for human consumption.
Taghavi, Lobat   +12 more
core   +1 more source

Soil and Water Assessment Tool (SWAT)-Informed Deep Learning for Streamflow Forecasting with Remote Sensing and In Situ Precipitation and Discharge Observations

open access: yesRemote Sensing
In order to anticipate residual errors and improve accuracy while reducing uncertainties, this work integrates the long short-term memory (LSTM) with the Soil and Water Assessment Tool (SWAT) to create a deep learning (DL) model that is guided by physics.
Chunlin Huang, Ying Zhang, Jinliang Hou
doaj   +1 more source

SWAT‐GL: A new glacier routine for the hydrological model SWAT

open access: yesJAWRA Journal of the American Water Resources Association
AbstractThe hydrological model Soil Water Assessment Tool (SWAT) is widely used in water resources management worldwide. It is also used to simulate catchment hydrology in high‐mountainous regions where glaciers play an important role. However, SWAT considers glaciers in a simplistic way.
Timo Schaffhauser   +6 more
openaire   +1 more source

Sun Protection Behaviours in Skin Cancer Survivors: A Systematic Review and Meta‐Analysis

open access: yesJEADV Clinical Practice, EarlyView.
ABSTRACT Background Skin cancer, including melanoma and non‐melanoma skin cancer (NMSC), is one of the most prevalent cancers worldwide. Although sun protection behaviors, such as sunscreen use, protective clothing, and shade‐seeking, are crucial in preventing skin cancer recurrence and secondary malignancies, adherence to these behaviors among ...
Shubham Kumar   +3 more
wiley   +1 more source

Hydrologic Simulations of the Maquoketa River Watershed Using SWAT Working Paper 09-WP 49,June 2009 [PDF]

open access: yes, 2009
This paper describes the application of the Soil and Water Assessment Tool (SWAT) model to the Maquoketa River watershed, located in northeast Iowa. The inputs to the model were obtained from the Environmental Protection Agency’s geographic information/

core  

Modelagem hidrológica e avaliação de diferentes métodos de calibração para o modelo SWAT [PDF]

open access: yes, 2015
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia Ambiental, Florianópolis, 2015.Um dos principais desafios enfrentados pela modelagem hidrológica é a calibração eficiente dos ...
Brighenti, Tássia Mattos
core  

Precision medicine in cancer: A comprehensive review of advanced cancer diagnosis technologies and personalized treatment strategies

open access: yesPrecision Medical Sciences, EarlyView.
The translational pipeline of precision medicine in clinical oncology. Schematic overview of the individualized cancer care workflow. (1) Input: Patient samples undergo multi‐omic profiling via NGS, single‐cell diagnostics, spatial maps, and epigenetic sequencing.
Asif Jan   +3 more
wiley   +1 more source

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