The present study tried to analyze the impact of stressed climatic condition on a small tropical tributary of river Hooghly with the help of neural network and genetic algorithm. The stressed conditions of a basin were represented by six categories. According to the results, the retentivity of the catchment is poor that is why even in positively overstressed climatic condition the catchment responded with low discharges. The impacts of change on ground cover, water demand, and land use were ignored or taken to be the same for the different conditions that were applied to evaluate the basin response.
Climate stress hydrologic adversary neural network scenarios small ributary
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