Details

Autor(en) / Beteiligte

• Dabral, Parmendra Prasad
• Purkayastha, Kuntal
• Aram, Mai

Titel

Dry and wet spell probability by Markov chain model- a case study of North Lakhimpur (Assam), India

Ist Teil von

• International journal of agricultural and biological engineering, 2014-12, Vol.7 (6), p.8

Ort / Verlag

Beijing: International Journal of Agricultural and Biological Engineering (IJABE)

Erscheinungsjahr

2014

Link zum Volltext

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• The present study was undertaken with the objectives to forecast dry and wet spell analysis using Markov chain model and also to find out the exact time of onset and termination of monsoon at study area for North Lakhimpur (Assam), India using weekly rainfall data for a period of 24 years. The results indicated that probability of occurrence of dry week is higher from week 1st to 14th and also from week 41st to 52nd. The range of probability of occurrence of dry week in these weeks varies from 41.67% to 100%. Probability of occurrence of wet week is higher from week 17th to 40th. The range of probability of wet week in these weeks varies from 66.67% to 100%. Week 1st to 4th and 43rd to 52nd of the year remains under stress on an average, as there are 50% to 95.83% chances of occurrence of two consecutive dry weeks. The analysis showed that monsoon starts effectively from week 23rd in North Lakhimpur.