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首页> 外文期刊>Hydrological Processes >Identifying non-stationary and long-term river–aquifer interactions as a response to large climatic patterns and anthropogenic pressures using wavelet analysis (Mancha Oriental Aquifer, Spain)
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Identifying non-stationary and long-term river–aquifer interactions as a response to large climatic patterns and anthropogenic pressures using wavelet analysis (Mancha Oriental Aquifer, Spain)

机译:用小波分析识别非静止和长期河流 - 含水层相互作用作为对大气候模式和人为压力的反应(Mancha东方含水层,西班牙)

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摘要

The objective of this study was to analyse periodicities and the long-term variability of monthly Jucar River-Mancha Oriental Aquifer interactions (RAI) and regionally measured precipitation (PP) with special focus on the correlations between these local hydrological variables and the large climatic patterns governing the Iberian Peninsula, represented by their teleconnection indices - the North Atlantic Oscillation index (NAOi) and the Western Mediterranean Oscillation index (WeMOi). To that end, wavelet analysis has been applied since it not only provides insight into the time-series dynamics but also permits statistical interpretation and correlation analysis. As a result, several periodicities have been detected: intermittent semi-annual periodicity in PP and the NAOi and annual periodicity in the RAI, NAOi and WeMOi time series. Long cycles (approximately 14 years) are also observed in the PP and WeMOi time series. The cross-wavelet spectra show a correlation between the RAI and the rest of the variables on the semi-annual and the annual scales, while wavelet coherence detects common behaviour with longer cycles - 5-6 years between the NAOi and the RAI and cycles of both 1-5 years and 7-10 years between PP and the RAI. Furthermore, results show that the periodicities in the teleconnection indices and precipitation propagate into the RAI with certain lead times: 3 months between the RAI and PP and 6 months between the RAI and the NAOi. The results indicate that the detected periodicities and the coherence between the studied variables could have applications in strategic planning on a river basin scale, taking into account the propagation times and the frequency scale. This methodological approach can be applied into strategic water resource planning independently of the geographical location of the hydrogeological system, the basin size and the climate region.
机译:本研究的目的是分析周期性和每月Jucar River-Mancha东方含水层相互作用(RAI)和区域测量降水(PP)的长期变异,并特别关注这些局部水文变量与大气候模式之间的相关性管理伊比利亚半岛,由他们的电信指数代表 - 北大西洋振荡指数(Naoi)和西部地中海振荡指数(WEMOI)。为此,已经应用了小波分析,因为它不仅为时间序列动态提供了深入,而且还允许统计解释和相关分析。因此,已经发现了几种周期性:PP中的间歇半年周期和rai,Naoi和Wemoi时间序列中的Naoi和年度周期。在PP和WEMOI时间序列中也观察到长期循环(约14岁)。交叉小波谱显示RAI与半年和年度尺度的其余变量之间的相关性,而小波相干性检测循环较长的常见行为 - NAOI与RAI之间的5-6岁及PP和RAI之间的1 - 5年和7-10年。此外,结果表明,遥控指数和降水中的周期性繁殖到rai,在rai和rai和奈西之间的rai和pp和6个月之间传播到rai中。结果表明,检测到的周期性和所研究的变量之间的相干性可以在河流域规模上具有战略规划的应用,考虑到传播时间和频率。这种方法方法可以独立于战略性水资源规划,独立于水文地质系统,盆地大小和气候区域的地理位置。

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