Evaluation of the Drought Trend Alongside of Change Point: A Study of the Purulia District in West Bengal, India

Shrinwantu Raha, Sayan Deb
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Abstract

Since the drought is a significant issue in India, therefore, the scientists should pay close attention in order to manage it. Purulia District experienced the drought on numerous occasions in the past ten years, but the accurate and definite conclusions have not arrived yet. Hence, the Standardized Precipitation Index (SPI) for the 34 years (1979–2014) was utilised in this research together with the change point to evaluate the annual and seasonal drought in the Purulia District. Theil Sen's slope and the Mann-Kendal (MK) test were both employed to determine the trend and its’ magnitude. A trend-free pre-whitening technique was used to remove the influence of lag-1 correlation data from the series. The 1988-89 was marked as the best probable single change (shift) point in the time series of SPI. By calculating the percentage deviation from the SPI's mean trend, the magnitude of the change was calculated. The percentage change of Sen's slope and MK test was high (+ve) at the eastern parts of Purulia, whereas it was observed as the smallest at the southern parts of the region. Thus, it could be concluded that the drought had begun to spread to the study region's eastern sections after the change point. As Purulia is dependent on agricultural crop production, this research would significantly contribute to agricultural planning following the local level management of crop water and rain-water harvesting. Therefore, this research is extremely important for the drought risk management on a regional scale.
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基于变化点的干旱趋势评价——以印度西孟加拉邦普鲁里亚地区为例
因此,由于干旱是印度的一个重大问题,科学家应该密切关注,以便管理它。普鲁里亚地区在过去的十年中经历了多次干旱,但尚未得出准确而明确的结论。因此,本研究利用1979-2014年34年的标准化降水指数(SPI)和变化点对普鲁里亚地区的年度和季节性干旱进行了评价。采用Theil Sen斜率和Mann-Kendal (MK)检验来确定趋势及其幅度。采用无趋势预白化技术去除序列中lag-1相关数据的影响。1988- 1989年是SPI时间序列中最可能的单次变化(移位)点。通过计算与SPI平均趋势的百分比偏差,计算变化的幅度。普鲁里亚东部的Sen's斜率和MK检验的百分比变化较大(+ve),而南部的变化最小。因此,可以认为,在变化点之后,干旱已经开始向研究区东部地区扩散。由于Purulia依赖于农业作物生产,本研究将对当地作物用水和雨水收集管理后的农业规划作出重大贡献。因此,本研究对区域尺度上的干旱风险管理具有重要意义。
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