Estimation of Suspended Sediment Load Using Artificial Neural Network in Khour Al Zubair Port, Iraq
The port of Khour Al-Zubair is located 60.0 km south of the city centre of Basrah; it is also located 105.0 kilometres from the northern tip of the Arabian Gulf. The main goal of this paper is to estimate the concentration of suspended deposit (SSC) in “Khour Al-Zubair” port using a Multilayer Perce...
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| Format: | Article |
| Language: | English |
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Polish Society of Ecological Engineering (PTIE)
2023-06-01
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| Series: | Journal of Ecological Engineering |
| Subjects: | |
| Online Access: | http://www.jeeng.net/Estimation-of-Suspended-Sediment-Load-Using-Artificial-Neural-Network-in-Khour-Al,162400,0,2.html |
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| author | Ayman A. Hassan Husham T. Ibrahim Ali H. Al-Aboodi |
| author_facet | Ayman A. Hassan Husham T. Ibrahim Ali H. Al-Aboodi |
| author_sort | Ayman A. Hassan |
| collection | DOAJ |
| description | The port of Khour Al-Zubair is located 60.0 km south of the city centre of Basrah; it is also located 105.0 kilometres from the northern tip of the Arabian Gulf. The main goal of this paper is to estimate the concentration of suspended deposit (SSC) in “Khour Al-Zubair” port using a Multilayer Perceptron Neural Network (MLP) based on hydraulic and local boundary parameters while also studying the effect of these parameters on estimating the SSC. Five input parameters (channel width, water depth, discharge, cross-section area, and flow velocity) are used for estimating SSC. Different input hydraulic and local boundary parameter combinations in the three sections (port center, port south, and port north) were used for creating nine models. The use of both hydraulic and local boundary parameters for SSC estimation is very important in the port area for estimating sediment loads without the need for field measurements, which require effort and time. |
| first_indexed | 2024-04-09T15:50:20Z |
| format | Article |
| id | doaj.art-fe1ce3e1cd81411fb2835012b028cf97 |
| institution | Directory Open Access Journal |
| issn | 2299-8993 |
| language | English |
| last_indexed | 2024-04-09T15:50:20Z |
| publishDate | 2023-06-01 |
| publisher | Polish Society of Ecological Engineering (PTIE) |
| record_format | Article |
| series | Journal of Ecological Engineering |
| spelling | doaj.art-fe1ce3e1cd81411fb2835012b028cf972023-04-26T10:18:41ZengPolish Society of Ecological Engineering (PTIE)Journal of Ecological Engineering2299-89932023-06-01246546410.12911/22998993/162400162400Estimation of Suspended Sediment Load Using Artificial Neural Network in Khour Al Zubair Port, IraqAyman A. Hassan0https://orcid.org/0000-0002-6711-0066Husham T. Ibrahim1https://orcid.org/0000-0002-1504-217XAli H. Al-Aboodi2Department of Civil Engineering, College of Engineering, University of Basrah, Basrah, IraqDepartment of Civil Engineering, College of Engineering, University of Basrah, Basrah, IraqDepartment of Civil Engineering, College of Engineering, University of Basrah, Basrah, IraqThe port of Khour Al-Zubair is located 60.0 km south of the city centre of Basrah; it is also located 105.0 kilometres from the northern tip of the Arabian Gulf. The main goal of this paper is to estimate the concentration of suspended deposit (SSC) in “Khour Al-Zubair” port using a Multilayer Perceptron Neural Network (MLP) based on hydraulic and local boundary parameters while also studying the effect of these parameters on estimating the SSC. Five input parameters (channel width, water depth, discharge, cross-section area, and flow velocity) are used for estimating SSC. Different input hydraulic and local boundary parameter combinations in the three sections (port center, port south, and port north) were used for creating nine models. The use of both hydraulic and local boundary parameters for SSC estimation is very important in the port area for estimating sediment loads without the need for field measurements, which require effort and time.http://www.jeeng.net/Estimation-of-Suspended-Sediment-Load-Using-Artificial-Neural-Network-in-Khour-Al,162400,0,2.htmlsuspended sediment concentrationmultilayer perceptronneural networkkhour al-zubair portbasrah city |
| spellingShingle | Ayman A. Hassan Husham T. Ibrahim Ali H. Al-Aboodi Estimation of Suspended Sediment Load Using Artificial Neural Network in Khour Al Zubair Port, Iraq Journal of Ecological Engineering suspended sediment concentration multilayer perceptron neural network khour al-zubair port basrah city |
| title | Estimation of Suspended Sediment Load Using Artificial Neural Network in Khour Al Zubair Port, Iraq |
| title_full | Estimation of Suspended Sediment Load Using Artificial Neural Network in Khour Al Zubair Port, Iraq |
| title_fullStr | Estimation of Suspended Sediment Load Using Artificial Neural Network in Khour Al Zubair Port, Iraq |
| title_full_unstemmed | Estimation of Suspended Sediment Load Using Artificial Neural Network in Khour Al Zubair Port, Iraq |
| title_short | Estimation of Suspended Sediment Load Using Artificial Neural Network in Khour Al Zubair Port, Iraq |
| title_sort | estimation of suspended sediment load using artificial neural network in khour al zubair port iraq |
| topic | suspended sediment concentration multilayer perceptron neural network khour al-zubair port basrah city |
| url | http://www.jeeng.net/Estimation-of-Suspended-Sediment-Load-Using-Artificial-Neural-Network-in-Khour-Al,162400,0,2.html |
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