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首页> 外文期刊>Indian Journal of Soil Conservation >Stochastic modeling of weekly water deficit for crop planning in Varanasi region.
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Stochastic modeling of weekly water deficit for crop planning in Varanasi region.

机译：瓦拉纳西地区作物计划的每周缺水量的随机模型。

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摘要

A stochastic model for weekly water deficit series has been developed under climatic conditions of Varanasi. The turning point test and Kendall's rank correlation test were applied for detecting the trend. Correlogram technique was used to detect the periodicity, which was then analyzed by Fourier series method. Significant harmonics were also identified. Statistical properties of the generated water deficit series were compared with the observed series. The developed model was validated by predicting for next two years and compared with the observed water deficit series. Test results indicated high degree of model fitness, which may be used for representing time-based structure of the water deficit time series at Varanasi.
机译：在瓦拉纳西的气候条件下，建立了每周缺水量序列的随机模型。拐点检验和肯德尔秩相关检验用于检测趋势。使用相关图技术检测周期性，然后通过傅里叶级数方法进行分析。还确定了重要的谐波。将生成的水分亏缺序列的统计特性与观察到的序列进行比较。通过对未来两年的预测来验证开发的模型，并将其与观察到的缺水量序列进行比较。测试结果表明模型适应性很高，可用于表示瓦拉纳西缺水时间序列的基于时间的结构。

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