Determination of the most polluted river in an oil palm plantation in samarahan divison using composite programming method

Chiew, Vincent Kee Chuong (2010) Determination of the most polluted river in an oil palm plantation in samarahan divison using composite programming method. [Final Year Project Report] (Unpublished)

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Abstract

In general, an oil palm plantation can easily and greatly threatens the state of rivers. At such, precautions and preventions are necessary to avoid pollutions. Since oil palm plantation involves great scale of land size, it is difficult to manage and monitor every single rivers presented in the plantation. Moreover, it can be costly. In such conditions, areas of rivers, those are easily and knowingly affected by pollutants, are selected and became the alternatives for monitoring purposes. An example of these areas is a zone nearby to residential, industrial or commercial activities. Still, having identified all alternatives is not enough. Attention of greater degree is to be given to the most critical condition. The procedure will ensure budget be allocated to its most efficient usage on preventing pollution. In this case study, a hydroflow oil palm plantation is extending its size into lots 1238 – 1243 of Sedilu-Gelong land district, Samarahan Divison, Sarawak. Downstream areas are among the alternatives chosen to be monitored. From these selected areas, that require special attentions, a ranking is made so that the worst condition of all choices can be determined and more attention is put on it than the rest of choices. In such way, rivers are treated to their most sufficient and satisfactory levels. Method to determine the ranking is the composite programming method, in which river parameters and data are obtained and studied. Weights and balancing factors for each selected locations are estimated to assist the ranking assessment. The final ranking actually is greatly influenced by these two factors. In this study, location WS1 is determined as having the worst condition in term of pollution and needing the most attention among all locations selected.

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