Abu-Libda, Osama Ahmad Mustafa
(2008)
A Study On The Applications Of Geospatial Engineering
Techniques In Mineral Mapping And Geotoxicological Risk
Assessment Of Mining Land Contamination In Ulu Johan, Kinta
Valley Tinfield.
Masters thesis, Universiti Sains Malaysia.
Abstract
Pemineralan semulajadi dan kegiatan perlombongan yang berterusan telah
menghasilkan banyak bahan pemala yang berpotensi memberi kesan terhadap
persekitaran yang mungkin boleh menyebabkan pencemaran tanah dan risiko kepada
kesihatan manusia dan ekosistem. Pencirian geoenviromen dan penilaian pemalaan tanah
(seperti yang dirancang dalam Penilaian Tapak Enviromen Fasa I dan II> telah dilakukan
dalam kajian ini dengan menggabungkan teknik terkini perlombongan dan kejuruteraan
georuang. Kajian awal menunjukkan kualiti tanah yang kurang memuaskan disebabkan
gangguan secara semulajadi dan kegiatan manusia. Dalam tasa kajian risiko, prosedur
geokimia carigali telah dilakukan dengan mengambil 25 sampel tanah, GPS dirujuk, pada
kedalaman kurang daripada 40 sm secara rambang. Kepekatan unsur As, Zn, Mn, Pb, Te,
Sb dan Zr di dalam sampel (saiz 10 mesh) telah dianalisis menggunakan ICP-OES.
Natural mineralization and intermittent mining operations in Ulu Johan, Kinta Valley
tinfield have resulted in generating enormous quantities of contaminants of potential
hazard in the environment, thereby contaminating the land asset and imposing significant
risk to human health and ecosystem. A geoenvironmental characterization and
assessment of soil contamination planned in Environmental Site Assessment Phase I and
Phase II, had been carried out in this study by the integration of state-of-the-art techniques
of mining geoscience and geospatial engineering. The preliminary risk assessment phase
revealed deterioration of land quality due to natural and anthropogenic disturbances of
regolith materials. In the quantitative risk assessment phase, a geochemical exploration
procedure was undertaken to collect, prepare and analyze a total of 25 GPSgeoreferenced
soil samples extracted at average depth <40 cm by random sampling. The
10-mesh-sized samples were analyzed by ICP-OES for elements As, Zn, Mn, Pb, TI, Sb
and Zr then mapped-out using geostatistical spatial interpolation modeling by kriging and
geovisulaized thematically in GIS.
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