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Hydrological Sciences Journal Volume 65, 2020 - Issue 12
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Research Article

Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method

Viet-Ha Nhua Geographic Information Science Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam;b Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam
,
Khabat Khosravic Department of Watershed Management Engineering, Sari Agricultural Science and Natural Resources University, Sari, Iran
,
James R. Cooperd Department of Geography and Planning, School of Environmental Sciences, University of Liverpool, Liverpool, UK
,
Mahshid Karimic Department of Watershed Management Engineering, Sari Agricultural Science and Natural Resources University, Sari, Iran
,
Ozgur Kisie School of Technology, Ilia State University, Tbilisi, GeorgiaORCID Iconhttps://orcid.org/0000-0001-7847-5872
ORCID Icon,
Binh Thai Phamf Department of Geotechnical Engineering, University of Transport Technology, Hanoi, VietnamORCID Iconhttps://orcid.org/0000-0001-9707-840X
ORCID Icon &
Zongjie Lyug Institute of Research and Development, Duy Tan University, Da Nang, Vietnam;h Faculty of Civil Engineering, Duy Tan University, Da Nang, VietnamCorrespondence[email protected]
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Pages 2116-2127 | Received 02 Jun 2018, Accepted 05 Mar 2020, Published online: 19 Jul 2020

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Khabat Khosravi, Ali Golkarian, Patricia M. Saco, Martijn J. Booij & Assefa M. Melesse. (2024) Model identification and accuracy for estimation of suspended sediment load. Geocarto International 37:27, pages 18520-18545.
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Soheil Zaghian, Ali Mohammadzadeh, Arsalan Ghorbanian, Francesca Bovolo & Milad Niroumand-Jadidi. (2023) Enhancing suspended sediment concentration retrieval by integrating thermal infrared and optical bands of Landsat-8 and machine learning algorithms. International Journal of Remote Sensing 44:18, pages 5814-5844.
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Eun-Kyung Jang, Un Ji & Woonkwang Yeo. (2023) Estimation of sediment discharge using a tree-based model. Hydrological Sciences Journal 68:11, pages 1513-1528.
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Mohammed Achite, Zaher Mundher Yaseen, Salim Heddam, Anurag Malik & Ozgur Kisi. (2022) Advanced machine learning models development for suspended sediment prediction: comparative analysis study. Geocarto International 37:21, pages 6116-6140.
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Sandeep Samantaray & Abinash Sahoo. (2022) Prediction of suspended sediment concentration using hybrid SVM-WOA approaches. Geocarto International 37:19, pages 5609-5635.
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Juliana Andrade Campos & Olavo Correa Pedrollo. (2021) A regional ANN-based model to estimate suspended sediment concentrations in ungauged heterogeneous basins. Hydrological Sciences Journal 66:7, pages 1222-1232.
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Zeinab Mohammadi-Raigani, Hamid Gholami, Aliakbar Mohamadifar, Aliakbar Nazari Samani & Biswajeet Pradhan. (2024) Using an interpretable deep learning model for the prediction of riverine suspended sediment load. Environmental Science and Pollution Research.
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Son Q. Nguyen, Linh C. Nguyen, Thanh Ngo-Duc & Sylvain Ouillon. (2024) Applying a machine learning-based method for the prediction of suspended sediment concentration in the Red river basin. Modeling Earth Systems and Environment 10:2, pages 2675-2692.
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Salim Heddam, Amir Naghibi, Khabat Khosravi & Shailesh K. Singh. 2024. Remote Sensing of Soil and Land Surface Processes. Remote Sensing of Soil and Land Surface Processes 257 269 .
Ebrahim Nohani, Solmaz Khazaei, Mohammad Dorjahangir, Haniyeh Asadi, Sahar Elkaee, Asad Mahdavi, Javad Hatamiafkoueieh & John P. Tiefenbacher. (2023) Delineating flood-prone areas using advanced integration of reduced-error pruning tree with different ensemble classifier algorithms. Acta Geophysica.
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Barenya Bikash Hazarika & Deepak Gupta. (2023) Mode decomposition based large margin distribution machines for sediment load prediction. Expert Systems with Applications 232, pages 120844.
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Shicheng Li & James Yang. (2022) Improved river water-stage forecasts by ensemble learning. Engineering with Computers 39:5, pages 3293-3311.
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Majid Niazkar & Mohammad Zakwan. (2023) Developing ensemble models for estimating sediment loads for different times scales. Environment, Development and Sustainability.
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Yi FuXinzhi ZhouBo LiYuexin Zhang. (2023) Daily Water Level Time Series Prediction Using ECRBM-Based Ensemble Optimized Neural Network Model. Journal of Hydrologic Engineering 28:1.
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Mojtaba Shahdad & Behzad Saber. (2022) Multistep-ahead forecasting for maximum and minimum air temperatures using a new hybrid intelligence tree-based filter classifier. Modeling Earth Systems and Environment 8:4, pages 5449-5465.
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Pankaj Singha & Swades Pal. (2022) Predicting wetland area and water depth in Barind plain of India. Environmental Science and Pollution Research 29:47, pages 70933-70949.
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Haniyeh Asadi, Mohammad T. Dastorani, Khabat Khosravi & Roy C. Sidle. (2022) Applying the C-Factor of the RUSLE Model to Improve the Prediction of Suspended Sediment Concentration Using Smart Data-Driven Models. Water 14:19, pages 3011.
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Swades Pal & Pankaj Singha. (2022) Image-driven hydrological parameter coupled identification of flood plain wetland conservation and restoration sites. Journal of Environmental Management 318, pages 115602.
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Elham Ghanbari-Adivi, Mohammad Ehteram, Alireza Farrokhi & Zohreh Sheikh Khozani. (2022) Combining Radial Basis Function Neural Network Models and Inclusive Multiple Models for Predicting Suspended Sediment Loads. Water Resources Management 36:11, pages 4313-4342.
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Khabat Khosravi, Ali Golkarian, Assefa M. Melesse & Ravinesh C. Deo. (2022) Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach. Journal of Hydrology 610, pages 127963.
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Mojtaba Shahdad & Behzad Saber. (2022) Drought forecasting using new advanced ensemble-based models of reduced error pruning tree. Acta Geophysica 70:2, pages 697-712.
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Haniyeh Asadi, Mohammad T. Dastorani, Roy C. Sidle & Kaka Shahedi. (2021) Improving Flow Discharge-Suspended Sediment Relations: Intelligent Algorithms versus Data Separation. Water 13:24, pages 3650.
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Zaki Abda, Bilel Zerouali, Muwaffaq Alqurashi, Mohamed Chettih, Celso Augusto Guimarães Santos & Enas E. Hussein. (2021) Suspended Sediment Load Simulation during Flood Events Using Intelligent Systems: A Case Study on Semiarid Regions of Mediterranean Basin. Water 13:24, pages 3539.
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Duong Kien Trong, Binh Thai Pham, Fazal E. Jalal, Mudassir Iqbal, Panayiotis C. Roussis, Anna Mamou, Maria Ferentinou, Dung Quang Vu, Nguyen Duc Dam, Quoc Anh Tran & Panagiotis G. Asteris. (2021) On Random Subspace Optimization-Based Hybrid Computing Models Predicting the California Bearing Ratio of Soils. Materials 14:21, pages 6516.
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Amiya Abhash, K. K. Pandey & Ravi P. Tripathi. (2021) Study of flow over piano key weir of different plan shapes with free and partially submerged outlet conditions. Water Supply 21:6, pages 3141-3152.
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Deepak Gupta, Barenya Bikash Hazarika, Mohanadhas Berlin, Usha Mary Sharma & Kshitij Mishra. (2021) Artificial intelligence for suspended sediment load prediction: a review. Environmental Earth Sciences 80:9.
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Khalil Rezaei, Biswajeet Pradhan, Meysam Vadiati & Ata Allah Nadiri. (2021) Suspended sediment load prediction using artificial intelligence techniques: comparison between four state-of-the-art artificial neural network techniques. Arabian Journal of Geosciences 14:3.
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