DEVELOPMENT OF CIUJUNG RIVER WATER QUALITY DATABASE USING HEC-RAS MODELING TO DEVELOP WATER QUALITY MONITORING SUPPORT SYSTEM USING ARTIFICIAL NEURAL NETWORK

• Main Author: Rimba Rinjani, Rebiet
• Format: Theses
• Language: Indonesia
• Subjects: Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
• Online Access: https://digilib.itb.ac.id/gdl/view/55910
• Institution: Institut Teknologi Bandung

One of approach in identifying the pollution load released by the industry quickly and accurately is by created a model taken from a reliable database. HEC-RAS was used in generating the Ciujung River water quality database to be used in simulating various scenarios in modeling water quality projections. A river body is a medium that consist many parameters in it, where each parameters would influence others significantly. This is shown by the simulation results, where, even, minimum industrial waste can give a bad water quality. From the running modeling carried out, the minimum input, with other parameters influenced, can cause the water quality value above standard (12 mg/L for class 4). The level of confidence in these results is indicated by the strong correlation between input and output in modeling using an Artificial Neural Network based on a database built using the HEC-RAS simulation. The strong correlation database feasible to be recommended as a part of the tools in verifying monitoring data.