Journal Article

Simulation of meteorological drought using exponential smoothing models: a study on Bankura District, West Bengal, India

Raha, Shrinwantu, Gayen, Shasanka Kumar

2020

Overview

Water scarcity and drought management is the burning issue in India and hence needs serious attention of researchers to develop rigorous plan and management. Areas that belong to various plateaus, e.g., Chotanagpur plateau, Deccan plateau, etc., are mostly affected by drought in India. In the past decade, Bankura District of West Bengal, which belongs to northeast part of Chotanagpur plateau, faced severe drought several times. However, the assessment of drought scenario in this area is far from conclusive statement till date. In this paper, we simulate standardized precipitation index (SPI) using double exponential (DE) and Holt–Winter exponential smoothing model (HW) for several time steps (e.g., 3 months, 6 months, 12 months, 24 months and 48 months) in the time period of 1979–2014. The comparative analysis between two models indicates that DE is more accurate one. DE is observed with relatively low root mean squared error (RMSE) and high R 2 value. Furthermore, drought-prone zones are demarcated using combined scores of principal component analysis (PCA) and those combined scores are estimated using actual, HW and DE simulated SPI in several time steps. At the shorter (3 and 6 months) and longer time step (12, 24 and 48 months), the PCA demonstrates almost same results. The western and northwestern blocks of the district are severely affected by drought, and the southern portions are at mild condition. Spatially distributed RMSE in every time steps is also high in northwestern portions of the study region. Our result may be useful to understand the pattern of drought to take necessary action in management of water resources in Bankura District, West Bengal. Moreover, the study uses an unique methodology to simulate and assess meteorological drought, which is applicable in any region of the world.

• Publisher: Springer International Publishing,Springer Nature B.V
• Subject: Applied and Technical Physics / Atmospheric models / Chemistry/Food Science / Climate change / Comparative analysis / Drought / Earth and Environmental Sciences: Meteorological Extremes / Earth Sciences / Emergency preparedness / Engineering / Environment / Markov analysis / Materials Science / Neural networks / Plateaus / Precipitation / Principal components analysis / Rain / Research Article / Root-mean-square errors / Simulation / Smoothing / Software / Standardized precipitation index / Stochastic models / Water management / Water resources / Water resources management / Water scarcity / Wind / Winter