PEMODELAN PENYEBARAN LIMBAH AIR PANAS DI PERAIRAN BONTANG

• Main Author: Seravino Romawan, Francis
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/64603
• Institution: Institut Teknologi Bandung

This research is about Cooling Water System (CWS) discharges from a Natural Gas Liquid Industry located in Bontang, East Kalimantan in the form of hot water wastes. Cooling Water System is a system that uses seawater properties that can store heat, so it can be used as a cooling agent for a certain process in the industry. But this system discharges water at a temperature higher than its surroundings and therefore can harm the environment. So the purposes of this study are to assess the water’s ability to circulate pollutants out of the water, the dispersive pattern of the discharges due to hydrodynamic processes, and to assess predicted adverse effects of the hot water discharges. Data from BATNAS, water elevation, current speed, ECMWF ERA-Interim, and temperature data are used as input for the model, and data acquired from field observation is used as verification tools. Delft3D-FLOW model is used for this research. Verification shows that elevation from simulation has errors of 3.5%, current speed has errors of 23.84% and 39.39%, and temperature from excess temperature model has an error of 2.72% while temperature from no heat flux model has an error of 3.5%. The current speed in Bontang Water is faster at low tide than at high tide and this difference between low tide and high tide makes pollutants that enter this water can be circulated out within 13 days. This current speed can affect the pattern of hot water discharge. The distribution of hot water discharge will increase at low tide and decrease at high tide. In spring the change of heat anomaly area is caused mainly by the strong advection process meanwhile in neap the change of heat anomaly area is caused mainly by heat exchange between water and its surrounding. From two heat model simulations, heat exchange can reduce the adverse environmental effect by around 18.3% to 18.8% for anomaly 1?, 78.93% to 85.55% for anomaly 2?, and 100% for anomaly 3?.