DEVELOPMENT OF CIUJUNG RIVER WATER QUALITY DATABASE USING HEC-RAS MODELING TO DEVELOP WATER QUALITY MONITORING SUPPORT SYSTEM USING ARTIFICIAL NEURAL NETWORK
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 proj...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Subjects: | |
| Online Access: | https://digilib.itb.ac.id/gdl/view/55910 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | 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. |
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