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Hydrological modelling in Deduru Oya Reservoir

Project type

Data modelling and prediction

Date

2019

An intelligent prediction system for identifying rainfall and water level patterns in a major reservoir in Sri Lanka known as Deduru-oya Reservoir which aids the agriculture-based community of the surrounding area.
Programming Language used: Python
My tasks included creating a DEM and flow direction map to determine geographical terrain and to
identify hydrological flow using meteorological data, desiging a Long-Short Term Model(LSTM) for predicting long term rainfall and water level of Deduru-oya water body, North Western Province, Sri Lanka, processing bulk data collected by identifying and removing outliers for creating data sets for the LSTM model.

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