首页> 外文会议>International Symposium on Rainfall Rate and Radio Wave Propagation >Short Term Rain Prediction For Sustainability of Tanks in the Tropic Influenced by Shadow Rains
【24h】

Short Term Rain Prediction For Sustainability of Tanks in the Tropic Influenced by Shadow Rains

机译:雨水雨水影响的坦克可持续性短期雨预测

获取原文

摘要

Rainfall and flow prediction, adapting the Venkataraman single time series approach and Wiener multiple time series approach were conducted for Aralikottai tank system, and Kothamangalam tank system, Tamilnadu, India. The results indicated that the raw prediction of daily values is closer to actual values than trend identified predictions. The sister seasonal time series were more amenable for prediction than whole parent time series. Venkataraman single time approach was more suited for rainfall prediction. Wiener approach proved better for daily prediction of flow based on rainfall. The major conclusion is that the sister seasonal time series of rain and flow have their own identities even though they form part of the whole parent time series. Further studies with other tropical small watersheds are necessary to establish this unique characteristic of independent but not exclusive behavior of seasonal stationary stochastic processes as compared to parent non stationary stochastic processes.
机译:降雨和流量预测,适应Venkataraman单时间序列方法和Wiener多时序列方法是针对Aralikottai坦克系统,以及印度塔米尔纳德邦的Kothamangalam坦克系统。结果表明,日常值的原始预测比趋势所识别的预测更接近实际值。姐妹季节性时间序列比全父时间序列更适合预测。 Venkataraman单时间方法更适合降雨预测。维纳方法证明了基于降雨的流动日常预测。主要的结论是,即使它们形成了整个父级序列的一部分,姊妹季节性时间序列也有自己的身份。与父母非静止随机过程相比,与其他热带小流域的进一步研究是建立独立而不是季节性固定随机过程的独特特征的独特特征。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号