### Abstract

Sediments are defined as the organic and inorganic materials or solid fragments derived from the weathering processes of sand, pebbles, silt, mud and loess. The objective of this research is to forecast sediment volume in the Lam Phra Phloeng reservoir by using the Neuro-genetic Optimizer model to calculate the sediment volume from runoff, rainfall, and sediment volume data. The results from satellite imagery interpretation elucidated that from 2002 to 2005, forest area decreased approximately 50,220 km^{2} or 36%, and was converted to agricultural land. By applying the USLE equation, the soil erosion area was found to increase approximately 185,341 tons/year between 2002 and 2005. This result illustrated that the impact of land use change greatly increased sedimentation volume. In applying the Neuro-genetic Optimizer model, the learning rate and momentum of this model was 0.9 and 0.1, respectively, and the initial weight value was +/-3. The model forecasted the annual sediment volume in the Lam Phra Phloeng reservoir in 2005 to be 49,855 tons with R^{2} equals to 0.9994. The regression model, on the other hand, forecasted the sediment volume using the equation Y=198. 48x 1.1783 with R^{2} equals to 0.9974, and the annual sediment volume was estimated to be 45,346 tons. The actual sediment volume in the reservoir in 2005 was obtained from The Royal Irrigation Department, which was found to be 48,697 tons.

Original language | Malay |
---|---|

Pages (from-to) | 1335-1347 |

Number of pages | 13 |

Journal | Malaysian Journal of Analytical Sciences |

Volume | 19 |

Issue number | 6 |

Publication status | Published - 2015 |

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### ASJC Scopus subject areas

- Analytical Chemistry

### Cite this

*Malaysian Journal of Analytical Sciences*,

*19*(6), 1335-1347.

**Penilaian perubahan guna tanah dan permodelan sedimentasi ke atas kesihatan persekitaran di sungai bertropika.** / Toriman, Mohd. Ekhwan; Kamarudin, Mohd Khairul Amri; Sansena, Thudchai; Bhaktikuld, Kampand; Umar, Roslan; Muhamad, Asyaari; Aziz, Nor Azlina Abd; Sulaiman, Nur Hishaam.

Research output: Contribution to journal › Article

*Malaysian Journal of Analytical Sciences*, vol. 19, no. 6, pp. 1335-1347.

}

TY - JOUR

T1 - Penilaian perubahan guna tanah dan permodelan sedimentasi ke atas kesihatan persekitaran di sungai bertropika

AU - Toriman, Mohd. Ekhwan

AU - Kamarudin, Mohd Khairul Amri

AU - Sansena, Thudchai

AU - Bhaktikuld, Kampand

AU - Umar, Roslan

AU - Muhamad, Asyaari

AU - Aziz, Nor Azlina Abd

AU - Sulaiman, Nur Hishaam

PY - 2015

Y1 - 2015

N2 - Sediments are defined as the organic and inorganic materials or solid fragments derived from the weathering processes of sand, pebbles, silt, mud and loess. The objective of this research is to forecast sediment volume in the Lam Phra Phloeng reservoir by using the Neuro-genetic Optimizer model to calculate the sediment volume from runoff, rainfall, and sediment volume data. The results from satellite imagery interpretation elucidated that from 2002 to 2005, forest area decreased approximately 50,220 km2 or 36%, and was converted to agricultural land. By applying the USLE equation, the soil erosion area was found to increase approximately 185,341 tons/year between 2002 and 2005. This result illustrated that the impact of land use change greatly increased sedimentation volume. In applying the Neuro-genetic Optimizer model, the learning rate and momentum of this model was 0.9 and 0.1, respectively, and the initial weight value was +/-3. The model forecasted the annual sediment volume in the Lam Phra Phloeng reservoir in 2005 to be 49,855 tons with R2 equals to 0.9994. The regression model, on the other hand, forecasted the sediment volume using the equation Y=198. 48x 1.1783 with R2 equals to 0.9974, and the annual sediment volume was estimated to be 45,346 tons. The actual sediment volume in the reservoir in 2005 was obtained from The Royal Irrigation Department, which was found to be 48,697 tons.

AB - Sediments are defined as the organic and inorganic materials or solid fragments derived from the weathering processes of sand, pebbles, silt, mud and loess. The objective of this research is to forecast sediment volume in the Lam Phra Phloeng reservoir by using the Neuro-genetic Optimizer model to calculate the sediment volume from runoff, rainfall, and sediment volume data. The results from satellite imagery interpretation elucidated that from 2002 to 2005, forest area decreased approximately 50,220 km2 or 36%, and was converted to agricultural land. By applying the USLE equation, the soil erosion area was found to increase approximately 185,341 tons/year between 2002 and 2005. This result illustrated that the impact of land use change greatly increased sedimentation volume. In applying the Neuro-genetic Optimizer model, the learning rate and momentum of this model was 0.9 and 0.1, respectively, and the initial weight value was +/-3. The model forecasted the annual sediment volume in the Lam Phra Phloeng reservoir in 2005 to be 49,855 tons with R2 equals to 0.9994. The regression model, on the other hand, forecasted the sediment volume using the equation Y=198. 48x 1.1783 with R2 equals to 0.9974, and the annual sediment volume was estimated to be 45,346 tons. The actual sediment volume in the reservoir in 2005 was obtained from The Royal Irrigation Department, which was found to be 48,697 tons.

KW - Land use change

KW - Neuro-genetic optimizer

KW - Sedimentation

KW - Tropical river

KW - USLE

UR - http://www.scopus.com/inward/record.url?scp=84949767639&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84949767639&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84949767639

VL - 19

SP - 1335

EP - 1347

JO - Malaysian Journal of Analytical Sciences

JF - Malaysian Journal of Analytical Sciences

SN - 1394-2506

IS - 6

ER -