The study evaluated the accuracy and intra-rater reliability for OWAS (Ovako Working posture Analysing System), RULA (Rapid Upper Limb Assessment), REBA (Rapid Entire Body Assessment) to improve their evaluation accuracy and reliability. Participants (n = 163) with undergraduate degree were recruited in this study and trained for 6 hours about the ergonomic assessment methods. Ergonomic assessments were conducted using OWAS, RULA, and REBA for a representative work with dynamic posture found in manufacturing industries. The study compared action categories (overall level) and detailed evaluation scores for individual body part. Action categories of the participants significantly differed from the golden reference defined by ergonomic experts. The participants underrated or omitted scores for truck (37.4% of the participants) and legs (52.8%) in OWAS. Similarly, the participants underrated or omitted additional scores for all body parts except the hand and wrist in RULA (53.5%) and REBA (54.8%). On the other hand, the participants overrated scores for the hand and wrist in RULA (55.2%) and REBA (39.9%). The results found in this study can help of selecting focus points and parts during assessment and education to improve accuracy and reliability of the ergonomic assessment methods.

The detailed survey result estimate the contamination depth which executes the TPH(total petroleum hydrocarbon) soil detailed survey of analysis result is, about 0.25 ～ 3.0m the contamination area 836㎡, the contamination volume is 918.9㎥. But the tank bottom where the investigation is impossible and considering a circumference facility, the contamination soil will be able to increase. Consider the TPH(total petroleum hydrocarbon) concentration of analysis result, hereupon it will try to present the demobilization method which is suitable recommend Land Farming and Biopile.

The current fire-damage inspection and safety diagnosis has not developed from the labour and time-consuming method. Data collected through traditional safety inspection and survey methods are less quantitative and causes irregularity to the database; thus data becomes impractical for long-term maintenance and analysis. Data by 3D Scanning are more precise and quantitative in calculating the damages by a fire, the amount to repair and reinforce; furthermore, in evaluating the safety of the structure.