A comparison of performance of SWAT and machine learning models for predicting sediment load in a forested Basin, Northern Spain

Assessing climate change impacts on streamflow and sediment load in the upstream of the Mekong River basin

(2021) Di Ma et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Recent advances in assessment of soil erosion vulnerability in a watershed

(2021) Shachi Pandey et al.   International Soil and Water Conservation Research

Artificial intelligence for suspended sediment load prediction: a review

(2021) Deepak Gupta et al.   Environmental Earth Sciences

Suspended sediment load prediction in consecutive stations of river based on ensemble pre-post-processing kernel based approaches

(2021) Roghayeh Ghasempour et al.   Water Science and Technology-Water Supply

Soil erosion modelling: A global review and statistical analysis

(2021) Pasquale Borrelli et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Adaptability of machine learning methods and hydrological models to discharge simulations in data-sparse glaciated watersheds

(2021) Huiping Ji et al.   Journal of Arid Land

Prediction and analysis of net ecosystem carbon exchange based on gradient boosting regression and random forest

(2020) Jianchao Cai et al.   APPLIED ENERGY

Bedload transport rate prediction: Application of novel hybrid data mining techniques

(2020) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

The random forest algorithm for statistical learning

(2020) Matthias Schonlau et al.   Stata Journal

On the complexities of sediment load modeling using integrative machine learning: Application of the great river of Loíza in Puerto Rico

(2020) Mohammad Zounemat-Kermani et al.   JOURNAL OF HYDROLOGY

Distinct and combined impacts of climate and land use scenarios on water availability and sediment loads for a water supply reservoir in northern Morocco

(2020) Fatiha Choukri et al.   International Soil and Water Conservation Research

Assessment of the effective width of riparian buffer strips to reduce suspended sediment in an agricultural landscape using ANFIS and SWAT models

(2020) Zacharie Sirabahenda et al.   CATENA

The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data

(2019) Phu Nguyen et al.   Scientific Data

Assessing the Impact of Best Management Practices in a Highly Anthropogenic and Ungauged Watershed Using the SWAT Model: A Case Study in the El Beal Watershed (Southeast Spain)

(2019) Adrián López-Ballesteros et al.   Agronomy-Basel

Random forest, support vector machine, and neural networks to modelling suspended sediment in Tigris River-Baghdad

(2019) Mustafa Al-Mukhtar   ENVIRONMENTAL MONITORING AND ASSESSMENT

Predicting Streamflow and Nutrient Loadings in a Semi-Arid Mediterranean Watershed with Ephemeral Streams Using the SWAT Model

(2019) Giuseppe Pulighe et al.   Agronomy-Basel

A Comparison of SWAT and ANN Models for Daily Runoff Simulation in Different Climatic Zones of Peninsular Spain

(2018) Patricia Jimeno-Sáez et al.   Water

Coupling machine-learning techniques with SWAT model for instantaneous peak flow prediction

(2018) Javier Senent-Aparicio et al.   BIOSYSTEMS ENGINEERING

A review of catchment-scale water quality and erosion models and a synthesis of future prospects

(2018) Baihua Fu et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Afforestation, Subsequent Forest Fires and Provision of Hydrological Services: A Model-Based Analysis for a Mediterranean Mountainous Catchment

(2017) João Pedro Nunes et al.   LAND DEGRADATION & DEVELOPMENT

Daily suspended sediment simulation using machine learning approach

(2016) Dheeraj Kumar et al.   CATENA

A SWAT model validation of nested-scale contemporaneous stream flow, suspended sediment and nutrients from a multiple-land-use watershed of the central USA

(2016) Sean J. Zeiger et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Hybrid Double Feedforward Neural Network for Suspended Sediment Load Estimation

(2016) Xiao Yun Chen et al.   WATER RESOURCES MANAGEMENT

Bayesian Regression and Neuro-Fuzzy Methods Reliability Assessment for Estimating Streamflow

(2016) Yaseen Hamaamin et al.   Water

A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States

(2015) Ehsan Olyaie et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Application of the SWAT model to assess the impact of changes in agricultural management practices on water quality

(2015) A. M. Epelde et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Evaluation of SWAT models performance to simulate streamflow spatial origin. The case of a small forested watershed

(2015) Maite Meaurio et al.   JOURNAL OF HYDROLOGY

Hydrological Processes and Model Representation: Impact of Soft Data on Calibration

(2015)   Transactions of the ASABE

Assessing the performance and uncertainty analysis of the SWAT and RBNN models for simulation of sediment yield in the Nagwa watershed, India

(2014) Ajai Singh et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Applications of the SWAT Model Special Section: Overview and Insights

(2014) Philip W. Gassman et al.   JOURNAL OF ENVIRONMENTAL QUALITY

Artificial Neural Network Models of Watershed Nutrient Loading

(2012) Raymond J. Kim et al.   WATER RESOURCES MANAGEMENT

Comparison of soil and water assessment tool (SWAT) and multilayer perceptron (MLP) artificial neural network for predicting sediment yield in the Nagwa agricultural watershed in Jharkhand, India

(2011) A. Singh et al.   AGRICULTURAL WATER MANAGEMENT

Sediment production and water quality of watersheds with contrasting land use in Navarre (Spain)

(2010) J. Casalí et al.   AGRICULTURAL WATER MANAGEMENT

Suspended sediment concentration estimation by an adaptive neuro-fuzzy and neural network approaches using hydro-meteorological data

(2009) M. Cobaner et al.   JOURNAL OF HYDROLOGY

Runoff, erosion, and water quality of agricultural watersheds in central Navarre (Spain)

(2008) J. Casalí et al.   AGRICULTURAL WATER MANAGEMENT