ONE DIMENSIONAL HEAVY METALS CADMIUM (Cd), CHROMIUM (Cr), AND LEAD (Pb) TRANSPORT IN SAGULING RESERVOIR

• Main Author: Adi Wiguna Sudiartha, Gede
• Format: Theses
• Language: Indonesia
• Subjects: Teknik saniter dan perkotaan; teknik perlindungan lingkungan
• Online Access: https://digilib.itb.ac.id/gdl/view/40209
• Institution: Institut Teknologi Bandung

The existing conditions of the Saguling Reservoir are reported to have suffered severe heavy metal pollution due to the presence of wastewater inputs from various types of industries flowing into Citarum River and then accumulating in the Saguling Reservoir. Changes in the concentration of heavy metal pollutants in the Saguling Reservoir were calculated based on the advection-dispersion process that can be accomplished by WASP software simulation using the Partial Differential Equation method. The simulation was carried out in a span of 1 year to see changes in the concentration of heavy metals in the dry and wet seasons assuming the model was a one-dimensional model. Simulations are carried out in each segment that has been divided based on the sampling point. The simulation results of heavy metals in cadmium, lead and cadmium metals both showed an increase in pollutant load concentration when the dry month where the lowest discharge was reached, and conversely a decrease in concentration when the wet month. From the results of calibration tests of heavy metal models on water using the Root Mean Square Error (RMSE) analysis and Relative Error (RE) analysis, obtained dispersion coefficients on Cadmium, Chromium, and Lead metals sequentially 1 m2 / second (with RMSE 0,00515 and 34% relative error); 1 m2 / second (with RMSE 0.00595 and relative error 26%); and 2.5 m2 / second (with RMSE 0.028205 and relative error 41.25%) which shows that the model has good capability to simulate the concentration of heavy metals approaching the actual data both in the dry and wet seasons. From the results of the verification test models of concentration of cadmium, lead and chromium in sediments using the Root Mean Square Error (RMSE) analysis and Relative Error (RE) analysis, obtained sequentially 18.53 and 77%; 10.43 and 47.15%; 2,789 and 33%. Error values in sediment concentrations are quite large because of the difficulty of making assumptions that are close to natural conditions.