Author : Debbarma Nilotpal 1
Date of Publication :24th October 2020
Abstract: Study of spatial variation of rainfall in monthly time scale for any region can serve as a crucial information in many climatological and water related development activities. The present study therefore investigates the spatial variation for months of June and July rainfall in Northeast India using genetic algorithm-based clustering. Seven station attributes of 33 ground stations are considered and the algorithm performance is assessed with eight cluster validation measures. L-moments technique was applied to determine regional rainfall quantiles for different return periods. Results obtained found that the region can be classified into three and five homogenous rainfall regions for months of June and July. The July month needed further rearrangement of stations to obtain homogeneity of the regions. The June month rainfall was found to defined by Gumbel Extreme Value (GEV) and Pearson type III(PE3) distribution, whereas the July month rainfall was defined by four probability distributions namely GEV, PE3, Generalized Pareto (GPA), and Generalized Logistic (GLO) distributions.
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