标题:Clustering of the Districts of West Bengal Based on Spatial and Temporal Distribution of Groundwater Table Depth Towards Effective Monitoring and Management of the Valuable Water Resources
摘要:Fluctuations of groundwater table (GWT) has great role in agriculture through assured supply of irrigation inindustry and other fronts. As such, probability of possible GWT also plays an important role in terms ofefficient usages of this valuable resource. An attempt has been made to find probability distributions takingseasonal (January, May, August and November for 2005 to 2013) information on GWT for the districts underfive agro-climatic zones of West Bengal. The study reveals that 17 districts of West Bengal, India, can becategorised into 6 probability model groups: Weibul, Normal, Weibul (3P), Log Logistic (3P), Log Normal(3P) and Gamma (3P). These models can be used to ascertain the probability of occurrences of GWT inspecific district. Cluster analysis, using GWT figures for various seasons over the period of study revealsthat the districts could be grouped into four clusters, which in-turn may facilitate clusterwise strategy forrestricting the depletion of GWT depth or maintenance of the same. These techniques can be used for intra-district GWT analysis for efficient monitoring of GWT.