...
首页> 外文期刊>Hydrogeology journal >The relation between karst spring discharge and rainfall by cross-correlation analysis (Campania, southern Italy)
【24h】

The relation between karst spring discharge and rainfall by cross-correlation analysis (Campania, southern Italy)

机译:互相关分析的岩溶泉水流量与降雨量的关系(意大利南部坎帕尼亚)

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The relation between rainfall and the discharge from two springs, located at the base of different karst massifs in southern Italy, is investigated by cross-correlation analyses. Data are derived from a continuous time window of 13 years. The input signal involves multiple rainfall time series (cumulative rainfall over varying time windows), while the time series of daily spring discharges are used as the output signal. Analyses were first conducted on the unprocessed data and then on data for which linear trends and seasonal components had been removed, the latter by a spectral analysis. Analyses contributed to the investigation of the time required for water to flow through the karst aquifers at the two sites. Long time intervals of the cumulative rainfall (> 60 days) appear to be the main component affecting the spring discharge hydrographs; shorter time intervals seem to be related to quick-flow paths. Some statistics about the linear regression and the meaning of the cross-correlation analysis are discussed. Cross-correlation analysis can provide strong support for identification of the main rainfall contribution and the travel time through the main infiltration pathways in aquifers.
机译:通过互相关分析,研究了位于意大利南部不同喀斯特地貌底部的两个泉水的降雨与流量之间的关系。数据来自13年的连续时间窗口。输入信号涉及多个降雨时间序列(不同时间窗口上的累积降雨),而每日春季排放的时间序列用作输出信号。首先对未处理的数据进行分析,然后对已去除线性趋势和季节性成分的数据进行分析,后者通过频谱分析进行分析。分析有助于调查水流过两个地点的岩溶含水层所需的时间。长时间的累积降雨间隔(> 60天)似乎是影响春季排放水位图的主要因素;较短的时间间隔似乎与快速流动路径有关。讨论了一些有关线性回归的统计数据以及互相关分析的含义。互相关分析可以为确定主要降雨贡献和通过含水层主要入渗途径的传播时间提供强有力的支持。

著录项

相似文献

  • 外文文献
  • 中文文献
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