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Optimization of silt pit dimensions and the water supply period in oil palm plantation by artificial neutral network estimation

Constructing a silt pit is one of the most widely adopted and effective practices used in oil palm plantations to conserve soil and water. The objective of this study was to utilize the HYDRUS-2D/3D to determine the optimal dimensions of silt pit and optimise the simulation results employing the mul...

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Main Authors: Al-shaheen, Husam Hasan Abdulaali, Teh, Christopher Boon Sung, Abdulaali, Ali H., Kamal, Md Rowshon, Ismail, Roslan
Format: Article
Language:English
Published: Thai Society of Higher Education Institutes on Environment 2020
Online Access:http://psasir.upm.edu.my/id/eprint/87013/1/Optimization%20of%20silt%20pit%20dimensions%20and%20the%20water%20supply.pdf
http://psasir.upm.edu.my/id/eprint/87013/
http://www.tshe.org/ea/ea_jan2020.html
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spelling my.upm.eprints.870132022-01-10T08:33:41Z http://psasir.upm.edu.my/id/eprint/87013/ Optimization of silt pit dimensions and the water supply period in oil palm plantation by artificial neutral network estimation Al-shaheen, Husam Hasan Abdulaali Teh, Christopher Boon Sung Abdulaali, Ali H. Kamal, Md Rowshon Ismail, Roslan Constructing a silt pit is one of the most widely adopted and effective practices used in oil palm plantations to conserve soil and water. The objective of this study was to utilize the HYDRUS-2D/3D to determine the optimal dimensions of silt pit and optimise the simulation results employing the multiple linear regression (MLR) and/or artificial neural network (ANN). Both methods were used to select the optimal size and dimensions of silt pit sizes depending on the amount of rain and soil properties. The treatments that were adopted included: 1) seven soil textures, 2) five surface slopes, and 3) three silt pits sizes. Each silt pit size comprised of three depth levels to accommodate the amount of water available in the pit. The approach first utilised the HYDRUS-2D/3D software to simulate the time-to-empty (TTE) of various silt pit sizes on different soil and slopes. Secondly, trends were then distinguished from the data, and the best fit was determined using MLR and ANN models to estimate the optimal silt pit size. The TTE was affected by the water head in the pits (H), pit width (W), the amount of water applied (Vw), and the pit volume (Vp), but was not affected by the surface slope (Slope). The findings demonstrated that the MLR models did not perform sufficiently to represent the results of TTE (R² = 0.632; MSE = 85.83) compared with the ANN models (R² = 0.977; MSE = 10.33). This was mainly due to the non-linear relations of these factors. The results demonstrated that by using the same input data, the ANN models could favourably be used for TTE predictions. Thai Society of Higher Education Institutes on Environment 2020-01 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/87013/1/Optimization%20of%20silt%20pit%20dimensions%20and%20the%20water%20supply.pdf Al-shaheen, Husam Hasan Abdulaali and Teh, Christopher Boon Sung and Abdulaali, Ali H. and Kamal, Md Rowshon and Ismail, Roslan (2020) Optimization of silt pit dimensions and the water supply period in oil palm plantation by artificial neutral network estimation. EnvironmentAsia, 13 (1). 53 - 66. ISSN 1906-1714; ESSN: 2586-8861 http://www.tshe.org/ea/ea_jan2020.html 10.14456/ea.2020.5
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Constructing a silt pit is one of the most widely adopted and effective practices used in oil palm plantations to conserve soil and water. The objective of this study was to utilize the HYDRUS-2D/3D to determine the optimal dimensions of silt pit and optimise the simulation results employing the multiple linear regression (MLR) and/or artificial neural network (ANN). Both methods were used to select the optimal size and dimensions of silt pit sizes depending on the amount of rain and soil properties. The treatments that were adopted included: 1) seven soil textures, 2) five surface slopes, and 3) three silt pits sizes. Each silt pit size comprised of three depth levels to accommodate the amount of water available in the pit. The approach first utilised the HYDRUS-2D/3D software to simulate the time-to-empty (TTE) of various silt pit sizes on different soil and slopes. Secondly, trends were then distinguished from the data, and the best fit was determined using MLR and ANN models to estimate the optimal silt pit size. The TTE was affected by the water head in the pits (H), pit width (W), the amount of water applied (Vw), and the pit volume (Vp), but was not affected by the surface slope (Slope). The findings demonstrated that the MLR models did not perform sufficiently to represent the results of TTE (R² = 0.632; MSE = 85.83) compared with the ANN models (R² = 0.977; MSE = 10.33). This was mainly due to the non-linear relations of these factors. The results demonstrated that by using the same input data, the ANN models could favourably be used for TTE predictions.
format Article
author Al-shaheen, Husam Hasan Abdulaali
Teh, Christopher Boon Sung
Abdulaali, Ali H.
Kamal, Md Rowshon
Ismail, Roslan
spellingShingle Al-shaheen, Husam Hasan Abdulaali
Teh, Christopher Boon Sung
Abdulaali, Ali H.
Kamal, Md Rowshon
Ismail, Roslan
Optimization of silt pit dimensions and the water supply period in oil palm plantation by artificial neutral network estimation
author_facet Al-shaheen, Husam Hasan Abdulaali
Teh, Christopher Boon Sung
Abdulaali, Ali H.
Kamal, Md Rowshon
Ismail, Roslan
author_sort Al-shaheen, Husam Hasan Abdulaali
title Optimization of silt pit dimensions and the water supply period in oil palm plantation by artificial neutral network estimation
title_short Optimization of silt pit dimensions and the water supply period in oil palm plantation by artificial neutral network estimation
title_full Optimization of silt pit dimensions and the water supply period in oil palm plantation by artificial neutral network estimation
title_fullStr Optimization of silt pit dimensions and the water supply period in oil palm plantation by artificial neutral network estimation
title_full_unstemmed Optimization of silt pit dimensions and the water supply period in oil palm plantation by artificial neutral network estimation
title_sort optimization of silt pit dimensions and the water supply period in oil palm plantation by artificial neutral network estimation
publisher Thai Society of Higher Education Institutes on Environment
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/87013/1/Optimization%20of%20silt%20pit%20dimensions%20and%20the%20water%20supply.pdf
http://psasir.upm.edu.my/id/eprint/87013/
http://www.tshe.org/ea/ea_jan2020.html
_version_ 1724075487290982400
score 13.211869

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