Malaysian
Journal of Analytical Sciences Vol 19 No 6 (2015): 1335 - 1347
ASSESSMENT
OF LAND USE CHANGE AND SEDIMENTATION MODELLING ON ENVIRONMENTAL HEALTH
IN TROPICAL RIVER
(Penilaian
Perubahan Guna Tanah dan Permodelan Sedimentasi ke atas
Kesihatan
Persekitaran di Sungai Bertropika)
Mohd Ekhwan
Toriman1,2, Mohd Khairul Amri Kamarudin1,3*, Thudchai
Sansena4, Kampand Bhaktikuld5,
Roslan Umar1,
Asyaari Muhamad1, Nor Azlina Abd Aziz1, Nur Hishaam
Sulaiman1
1East Coast Environmental Research Institute (ESERI),
Universiti Sultan Zainal Abidin, 21300 Kuala Terengganu,
Terengganu. Malaysia
2School of Social, Development and Environmental
Studies, Faculty of Social Sciences and Humanities,
Universiti
Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia
3Faculty of Design Arts and Engineering Technology,
Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300
Kuala Terengganu Terengganu. Malaysia
4Informatics and Space Technology Department Agency,
10150 Bangkok, Thailand.
5Faculty of Environment and Resource Studies,
Mahidol
University, Phutthamonthon 73170, Nakhon Pathom, Thailand
*Corresponding author: mkhairulamri@unisza.edu.my
Received:
14 April 2015; Accepted: 9 July 2015
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 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.
Keywords: sedimentation,
land use change, Tropical River; USLE; neuro-genetic optimizer
Abstrak
Sedimen boleh ditakrifkan sebagai bahan
organik dan bukan organik atau serpihan pepejal yang diperolehi daripada proses
luluhawa pasir, batu kecil, kelodak, lumpur dan loess. Objektif kajian ini
adalah untuk meramal jumlah sedimen dalam takungan Sungai Lam Phra Phloeng
dengan menggunakan model Neuro-genetik Optimizer untuk mengira jumlah sedimen
daripada data larian air, hujan, dan jumlah sedimen. Hasil daripada tafsiran
imej satelit pada tahun 2002-2005, kawasan hutan merosot kira-kira 50.220 km2
atau 36%, dan telah ditukar kepada tanah pertanian. Dengan menggunakan
persamaan USLE, kawasan hakisan tanah didapati telah meningkatkan kira-kira
185.341 tan / tahun antara tahun 2002 dan 2005. Hasil kajian menunjukkan kesan
perubahan guna tanah dan sedimentasi adalah meningkat. Berdasarkan model
Neuro-genetik Optimizer, kadar pembelajaran dan momentum model ini adalah 0.9
dan 0.1, dan nilai berat badan awal adalah +/- 3. Model ini meramalkan jumlah
sedimen tahunan dalam takungan Lam Phra Phloeng pada 2005 meningkat kepada
49.855 ton yang bersamaan dengan R2 0.9994. Model regresi, di
bahagian lain pula, diramalkan dengan menggunakan persamaan Y = 198. 48 x
1.1783 dengan bersamaan dengan R2 0.9974. Jumlah sedimen tahunan
pula dianggarkan sebanyak 45346 tan. Jumlah sedimen sebenar dalam takungan pada
tahun 2005 telah diperolehi daripada Jabatan Pengairan Diraja, iaitu sebanyak
48.697 tan.
Kata
kunci: sedimentasi,
perubahan guna tanah; Sungai Tropika; USLE; neuro-genetik optimizer
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