Classification of sedimentation problems level using environmetric method at Terengganu River, Malaysia

Mohd Khairul Amri Kamarudin, Noorjima Abd Wahab, Mohd. Ekhwan Toriman, Frankie Marcus Ata, Ros lan Umar, Nadzifah Yaakub, Hanif Abdullah, Atikah Anuar, Abdul Rahman Hassan, Ahmad Shakir Mohd Saudi, Hazamri Harith, Norsyuhada Hairoma

Research output: Contribution to journalArticle

Abstract

This study was implemented to prove the sedimentation problem. The technique of analysis of primary data obtained which determine according procedure Gravimetric method, Gerald & Kenneth and the scale Udden - Wentworth which included median, mean, standard deviation, skewness, and kurtosis. The results showed the highest average of TSS (mg/L) is 67.2 (wet season) and 128.2 (dry season). While the highest TUR is 43.57 (wet season) and 21.57 (dry season). The statistical analysis of the phi value obtained showed the size of sediment grains is dominated by the rough size (phi -0.10 to phi -0.30) and very rough (phi -0.30 to -1.00) which signify the production of sedimentation behavior. The statistical analysis proved the weak regression relationship between TSS, TUR, river discharge (Q) and skewness caused by the anthropogenic factors and uncertain climate changes. The Agglomerative Hierarchical Clustering (AHC) enabled to group 29 monitoring sites into a few groups (sand mining area, industrial and development of socioeconomic, agricultural and farming, residential and domestic waste). The contributors of sedimentation problems from unsustainable land use and climate changes which are effectively trapping the bed sediments, backflow that carries out high sediments.

Original languageEnglish
Pages (from-to)327-332
Number of pages6
JournalInternational Journal of Engineering and Technology(UAE)
Volume7
Issue number3.14 Special Issue 14
Publication statusPublished - 1 Jan 2018

Fingerprint

Malaysia
Sedimentation
Rivers
Sediments
Climate change
Climate Change
Statistical methods
Land use
Discharge (fluid mechanics)
Sand
Agriculture
Cluster Analysis
Monitoring

Keywords

  • Agglomerative Hierarchical Clustering (AHC)
  • Gravimetric method
  • National Water Quality Standard (NWQS)
  • Sedimentation
  • Terengganu River

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science (miscellaneous)
  • Environmental Engineering
  • Chemical Engineering(all)
  • Engineering(all)
  • Hardware and Architecture

Cite this

Kamarudin, M. K. A., Wahab, N. A., Toriman, M. E., Ata, F. M., Umar, R. L., Yaakub, N., ... Hairoma, N. (2018). Classification of sedimentation problems level using environmetric method at Terengganu River, Malaysia. International Journal of Engineering and Technology(UAE), 7(3.14 Special Issue 14), 327-332.

Classification of sedimentation problems level using environmetric method at Terengganu River, Malaysia. / Kamarudin, Mohd Khairul Amri; Wahab, Noorjima Abd; Toriman, Mohd. Ekhwan; Ata, Frankie Marcus; Umar, Ros lan; Yaakub, Nadzifah; Abdullah, Hanif; Anuar, Atikah; Hassan, Abdul Rahman; Mohd Saudi, Ahmad Shakir; Harith, Hazamri; Hairoma, Norsyuhada.

In: International Journal of Engineering and Technology(UAE), Vol. 7, No. 3.14 Special Issue 14, 01.01.2018, p. 327-332.

Research output: Contribution to journalArticle

Kamarudin, MKA, Wahab, NA, Toriman, ME, Ata, FM, Umar, RL, Yaakub, N, Abdullah, H, Anuar, A, Hassan, AR, Mohd Saudi, AS, Harith, H & Hairoma, N 2018, 'Classification of sedimentation problems level using environmetric method at Terengganu River, Malaysia', International Journal of Engineering and Technology(UAE), vol. 7, no. 3.14 Special Issue 14, pp. 327-332.
Kamarudin, Mohd Khairul Amri ; Wahab, Noorjima Abd ; Toriman, Mohd. Ekhwan ; Ata, Frankie Marcus ; Umar, Ros lan ; Yaakub, Nadzifah ; Abdullah, Hanif ; Anuar, Atikah ; Hassan, Abdul Rahman ; Mohd Saudi, Ahmad Shakir ; Harith, Hazamri ; Hairoma, Norsyuhada. / Classification of sedimentation problems level using environmetric method at Terengganu River, Malaysia. In: International Journal of Engineering and Technology(UAE). 2018 ; Vol. 7, No. 3.14 Special Issue 14. pp. 327-332.
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