1/5/2024 0 Comments South machacha austinSimilarly, in the shape of membership functions a total of fifty-three rules have been generated for fuzzy analysis excluding the duplicate values. After modelling, the entire four parameters were further divided into three subparameters. A case study focused on the Swat River Basin in Northern Pakistan was used for validation and calibration of this fuzzy technique in MATrix LABoratory (MATLAB). Specifically the fuzzy logic rule-based model was used for climate change trends detection in uncertain circumstances. In this study, a fuzzy logic based-rule model was applied to assists the climatic change variability and trend prediction for all four parameters. rainfall, temperature, snowfall, and discharge (runoff). There should be a comprehensive study to model and measure the significant four significant hydro-climatic parameters relevant to climate change scenario i.e. All the hydro-climatic variables such as temperature, rainfall, river discharge, and snowfall are extremely challenging to quantity in case of climate change. The study area possesses a diverse geographical setting and is generally an unexplored region in term of research on climatic variability. This article deals with the climate parameters and their possible impact on river discharge in the Hindu Kush region using fuzzy logic approach.
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