Supervised Machine Learning for Estimation of Total Suspended Solids in Urban Watersheds
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Supervised Machine Learning for Estimation of Total Suspended Solids in Urban Watersheds
Authors
Keywords
-
Journal
Water
Volume 13, Issue 2, Pages 147
Publisher
MDPI AG
Online
2021-01-11
DOI
10.3390/w13020147
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Exploring a Long Short-Term Memory based Encoder-Decoder Framework for Multi-Step-Ahead Flood Forecasting
- (2020) I-Feng Kao et al. JOURNAL OF HYDROLOGY
- Explore the relationship between fish community and environmental factors by machine learning techniques
- (2020) Jia-Hao Hu et al. ENVIRONMENTAL RESEARCH
- Comparison of the use of a physical-based model with data assimilation and machine learning methods for simulating soil water dynamics
- (2020) Peijun Li et al. JOURNAL OF HYDROLOGY
- A stacked ensemble learning model for intrusion detection in wireless network
- (2020) Hariharan Rajadurai et al. NEURAL COMPUTING & APPLICATIONS
- Smart data driven quality prediction for urban water source management
- (2020) Di Wu et al. Future Generation Computer Systems-The International Journal of eScience
- Groundwater Storage Loss Associated With Land Subsidence in Western United States Mapped Using Machine Learning
- (2020) R. G. Smith et al. WATER RESOURCES RESEARCH
- Advances in Hydrologic Forecasts and Water Resources Management
- (2020) Fi-John Chang et al. Water
- Modeling and Optimization Approaches of Laser-Based Powder-Bed Fusion Process for Ti-6Al-4V Alloy
- (2020) Behzad Fotovvati et al. Coatings
- Physics-Informed Data-Driven Models to Predict Surface Runoff Water Quantity and Quality in Agricultural Fields
- (2019) Jing Liang et al. Water
- Evaluation of Regression Analysis and Neural Networks to Predict Total Suspended Solids in Water Bodies from Unmanned Aerial Vehicle Images
- (2019) Tainá T. Guimarães et al. Sustainability
- Evaluation of random forest and regression tree methods for estimation of mass first flush ratio in urban catchments
- (2019) Minhyuk Jeung et al. JOURNAL OF HYDROLOGY
- Optimum design of shallow foundation using evolutionary algorithms
- (2019) Ali R. Kashani et al. SOFT COMPUTING
- Site-Scale Integrated Decision Support Tool (i-DSTss) for Stormwater Management
- (2019) Shojaeizadeh et al. Water
- Efficient Water Quality Prediction Using Supervised Machine Learning
- (2019) Umair Ahmed et al. Water
- Optimal Design of Stormwater Collection Networks Considering Hydraulic Performance and BMPs
- (2018) Babak Azari et al. International Journal of Environmental Research
- Modeling Pollutant Buildup and Washoff Parameters for SWMM Based on Land Use in a Semiarid Urban Watershed
- (2018) Min-Cheng Tu et al. WATER AIR AND SOIL POLLUTION
- Assessing the Runoff Reduction Potential of Highway Swales and WinSLAMM as a Predictive Tool
- (2018) Bailee Young et al. Sustainability
- Blood pressure estimation from appropriate and inappropriate PPG signals using A whole-based method
- (2018) Seyedeh Somayyeh Mousavi et al. Biomedical Signal Processing and Control
- Machine Learning Algorithms for the Forecasting of Wastewater Quality Indicators
- (2017) Francesco Granata et al. Water
- An Investigation of the Relationships between Rainfall Conditions and Pollutant Wash-Off from the Paved Road
- (2017) Qingke Yuan et al. Water
- The effects of model and data complexity on predictions from species distributions models
- (2016) David García-Callejas et al. ECOLOGICAL MODELLING
- Forecasting blast-induced ground vibration developing a CART model
- (2016) Mahdi Hasanipanah et al. ENGINEERING WITH COMPUTERS
- Modelling the spatial and seasonal variability of water quality for entire river networks: Relationships with natural and anthropogenic factors
- (2016) Mario Álvarez-Cabria et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Influence of Rainfall Characteristics on Total Suspended Solids in Urban Runoff: A Case Study in Beijing, China
- (2016) Yongwei Gong et al. Water
- Comparing lazy and eager learning models for water level forecasting in river-reservoir basins of inundation regions
- (2015) Chih-Chiang Wei ENVIRONMENTAL MODELLING & SOFTWARE
- MIKE 11 model-based water quality model as a tool for the evaluation of water quality management plans
- (2015) J. Liang et al. JOURNAL OF WATER SUPPLY RESEARCH AND TECHNOLOGY-AQUA
- Determination effects of impervious areas on urban watershed
- (2014) Burcu Şimşek Uygun et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Facial expression recognition based on a mlp neural network using constructive training algorithm
- (2014) Hayet Boughrara et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Influence of land use and climate on the load of suspended solids in catchments of Andean rivers
- (2013) J. Pizarro et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Application of artificial neural networks for water quality prediction
- (2012) A. Najah et al. NEURAL COMPUTING & APPLICATIONS
- Intra-event variability of Escherichia coli and total suspended solids in urban stormwater runoff
- (2012) D.T. McCarthy et al. WATER RESEARCH
- Evaluation of random forest method for agricultural crop classification
- (2012) Asli Ozdarici Ok et al. European Journal of Remote Sensing
- QRS detection using K-Nearest Neighbor algorithm (KNN) and evaluation on standard ECG databases
- (2012) Indu Saini et al. Journal of Advanced Research
- Uncertainty in the spatial prediction of soil texture
- (2011) Mareike Ließ et al. GEODERMA
- Discriminating the papyrus vegetation (Cyperus papyrus L.) and its co-existent species using random forest and hyperspectral data resampled to HYMAP
- (2011) E. M. Adam et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Model for Predicting Effects of Land-Use Changes on the Canal-Mediated Discharge of Total Suspended Solids into Tidal Creeks and Estuaries
- (2011) Jeffrey K. King et al. JOURNAL OF ENVIRONMENTAL ENGINEERING
- A hybrid approach of support vector regression with genetic algorithm optimization for aquaculture water quality prediction
- (2011) Shuangyin Liu et al. MATHEMATICAL AND COMPUTER MODELLING
- Artificial neural network modeling of the river water quality—A case study
- (2009) Kunwar P. Singh et al. ECOLOGICAL MODELLING
- Interbasin Water Transfer: Economic Water Quality-Based Model
- (2009) Mohammad Karamouz et al. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
- Suspended particle characteristics in storm runoff from urban impervious surfaces in Toowoomba, Australia
- (2009) Ian M. Brodie et al. Urban Water Journal
- Prediction of urban stormwater quality using artificial neural networks
- (2008) Daniel B. May et al. ENVIRONMENTAL MODELLING & SOFTWARE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started