Classification of Clouds for Predication of Rainfall

Authors : Shraddha R. Palaskar, Aishwarya R Jagtap, Shweta Karde, Mayur Battinwar, Prof. Harshada Mhaske

Volume/Issue : Volume 2 - 2017, Issue 10 - October

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Disasters, natural or man-made are large refractory and intractable problems. They are unforeseen, severe and immediate. And thus, they become important circumstancesthat test the management capability of humankind to successfully protect their populations and infrastructure, to lessen both human and property loss, and to quickly recuperate. Operations Research as a discipline has the ability to answer these dynamic and unique problems and give real time optimal solutions, thus making Disaster Management very suitable for OR research. This research paper aims to give a structured solution oriented study, derived from various Operations Research theorems, about 4 phases of Disaster Management: Mitigation, Preparedness, Response and Recovery. The study will throw light upon various problem areas that arise during these 4 phases and how OR theorems (like Queuing theory, Evolutionary optimisation, Probability assessment and more) practically solve these problems, and when applied reduce their arbitrary nature giving them structured holistic solutions. The limitations to the study being the limitations of various theorems and how they actually respond when put to application in problem areas in real life. Thus, not giving the provision of ideal solution.

Keywords : Index Terms—Cloud Status Digital Image Processing, Image Processing, Rainfall Forecasting, Cloud Status, Sky Status, Cloud Types, Classification.


Paper Submission Last Date
31 - December - 2023

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