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

Fiorillo, Francesco; Doglioni, Angelo

doi:10.1007/s10040-010-0666-1

Cited by 118 publications

(74 citation statements)

References 22 publications

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“…With reference to the statistical theory [1][2][3][4][42][43][44][45][46], univariate autocorrelation and bivariate cross-correlation functions were applied to the time series as well as their residual component, obtained with the additive Seasonal-Trend decomposition procedure Census I. …”

Section: Analyses In Time Domainmentioning

confidence: 99%

Statistical and Fractal Approaches on Long Time-Series to Surface-Water/Groundwater Relationship Assessment: A Central Italy Alluvial Plain Case Study

Chiaudani

Curzio

Palmucci

et al. 2017

Water

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Abstract:In this research, univariate and bivariate statistical methods were applied to rainfall, river and piezometric level datasets belonging to 24-year time series . These methods, which often are used to understand the effects of precipitation on rivers and karstic springs discharge, have been used to assess piezometric level response to rainfall and river level fluctuations in a porous aquifer. A rain gauge, a river level gauge and three wells, located in Central Italy along the lower Pescara River valley in correspondence of its important alluvial aquifer, provided the data. Statistical analysis has been used within a known hydrogeological framework, which has been refined by mean of a photo-interpretation and a GPS survey. Water-groundwater relationships were identified following the autocorrelation and cross-correlation analyses. Spectral analysis and mono-fractal features of time series were assessed to provide information on multi-year variability, data distributions, their fractal dimension and the distribution return time within the historical time series. The statistical-mathematical results were interpreted through fieldwork that identified distinct groundwater flowpaths within the aquifer and enabled the implementation of a conceptual model, improving the knowledge on water resources management tools.

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Section: Analyses In Time Domainmentioning

confidence: 99%

Statistical and Fractal Approaches on Long Time-Series to Surface-Water/Groundwater Relationship Assessment: A Central Italy Alluvial Plain Case Study

Chiaudani

Curzio

Palmucci

et al. 2017

Water

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“…Both river flow and GWL data were obtained from the UK Environment Agency, while the rainfall time series were extracted at each borehole location from the Centre for Ecology & Hydrology (CEH) gridded estimates of daily areal rainfall for the United Kingdom. The daily river flow and rainfall time series are used as input signal, as well as cumulative rainfall over increasing time windows (as undertaken by Fiorillo and Doglioni 2010). The cumulative rainfall time series were constructed over 10, 30, 60, 120, 180, 270 and 360-day-long time windows.…”

Section: Methodsmentioning

confidence: 99%

Use of seasonal trend decomposition to understand groundwater behaviour in the Permo-Triassic Sandstone aquifer, Eden Valley, UK

2015

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The daily groundwater level (GWL) response in the Permo-Triassic Sandstone aquifers in the Eden Valley, England (UK), has been studied using the seasonal trend decomposition by LOESS (STL) technique. The hydrographs from 18 boreholes in the Permo-Triassic Sandstone were decomposed into three components: seasonality, general trend and remainder. The decomposition was analysed first visually, then using tools involving a variance ratio, time-series hierarchical clustering and correlation analysis. Differences and similarities in decomposition pattern were explained using the physical and hydrogeological information associated with each borehole. The Penrith Sandstone exhibits vertical and horizontal heterogeneity, whereas the more homogeneous St Bees Sandstone groundwater hydrographs characterize a wellidentified seasonality; however, exceptions can be identified. A stronger trend component is obtained in the silicified parts of the northern Penrith Sandstone, while the southern Penrith, containing Brockram (breccias) Formation, shows a greater relative variability of the seasonal component. Other boreholes drilled as shallow/deep pairs show differences in responses, revealing the potential vertical heterogeneities within the Penrith Sandstone. The differences in bedrock characteristics between and within the Penrith and St Bees Sandstone formations appear to influence the GWL response. The deseasonalized and de-trended GWL time series were then used to characterize the response, for example in terms of memory effect (autocorrelation analysis). By applying the STL method, it is possible to analyse GWL hydrographs leading to better conceptual understanding of the groundwater flow.Thus, variation in groundwater response can be used to gain insight into the aquifer physical properties and understand differences in groundwater behaviour.

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“…Hingga saat ini penelitian menggunakan analisis deret waktu di akuifer karst juga telah banyak dilakukan (Padilla and Pulido-Bosch 1995;Eisenlohr et al 1997;Larocque et al 1998;Rahnemaei et al 2005;Panagopoulos and Lambrakis 2006;Valdes et al 2006;Fiorillo and Doglioni 2010;Liu et al 2011;and Zhang et al 2013).…”

Section: Korelasi Hujan Dan Debit Mataair Atau Sbt Karstunclassified

Distribusi Spasial Respon Debit Mataair dan Sungai Bawah Tanah Terhadap Hujan Untuk Prediksi Kapasitas Penyimpanan Air oleh Akuifer Karst di Sebagian Wilayah Karst di Pulau Jawa

Adji¹

2017

Preprint

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Tingkat perkembangan akuifer karst salah satunya dapat dibedakan denganmenganalisis pola korelasi antara recharge yang berupa curah hujan dengandischarge yang berupa debit pada mataair atau sungai bawah tanah secaratemporal. Penelitian ini dilakukan di beberapa mataair dan sungai bawah tanah yangada di kawasan karst Gunungsewu, Kabupaten Gunung Kidul, DIY, kawasan karstRembang, Jateng, dan kawasan karst Tuban, Kabupaten Tuban, Jawa Timur.Penelitian ini bertujuan untuk mengetahui pola korelasi antara recharge yang berupacurah hujan dengan discharge pada beberapa mataair dan sungai bawah tanahpada tiga kawasan karst tersebut dengan pengambilan data primer danmemanfaatkan data hidrograf aliran dan data hujan yang tersedia. Penelitian inimenggunakan metode survai yang bersifat induktif, yaitu dengan memasang alatpencatat tinggi muka air pada dua mataair karst yani mataair Petoyan dan MataairSumber Semen pada kurun waktu 10 bulan dengan maksud untuk memperoleh datahidrograf banjir pada awal, tengah, dan akhir musim hujan. Selain itu, data sekunderdari beberapa hidrograf sungai bawah tanah dan mataair karst juga akan digunakanyakni data-data di Gua Toto, Gua Seropan, Mataair Beton, Gua Gilap, GuaNgreneng, Gua Bribin, dan Mataair Ngerong. Selanjutnya, pola korelasi antara hujandan debit aliran akan dilakukan pada lokasi-lokasi tersebut di atas untuk kemudiandigunakan untuk mengkarakterisasi tingkat kapasitas penyimpanan akuiferkarstnya. Manfaat penelitian ini selain untuk mengetahui tingkat perkembanganakuifer karst di daerah penelitian, juga dapat digunakan sebagai acuan berapa lamaakuifer dapat menyimpan air dan bagaimana detail proses pelepasannya ke mataairatau sungai bawah tanah, sehingga bisa digunakan untuk rekomendasi pemenuhankebutuhan air, terutama pada saat musim kemarau. Berdasarkan hasil crosscorrelation dapat diketahui masing-masing obyek kajian memiliki jeda waktu respondebit terhadap imbuhan curah hujan yang berbeda-beda. Korelasi yang perludiperhatikan adalah korelasi pada time lag postif. Hal tersebut didasarkan oleh hasilkorelasi bivariate sebelumnya yang juga menunjukan korelasi positif. Fungsikorelasi silang curah hujan dan debit mataair karst menunjukkan hubungan k (timelag) kearah positif yang menunjukkan bahwa curah hujan mempengaruhi lajualiran debit mataair. Hasil analisis juga menunjukkan hasil time lag respon kenaikandebit mataair dan SBT terhadap curah hujan yang bervariasi untuk ke-6 obyekkajian. Hasil menunjukkan bahwa terdapat perbedaan dan kesamaan nilai time laguntuk beberapa objek kajian. Nilai time lag pada 3 obyek kajian, yaitu Gua Bribin,Ngreneng, dan Gilap mengalami perbedaan yang signifikan apabila dibandingkandengan nilai time lag hasil metode cross correlation. Perbedaan tersebut karenaperbedaan sifat obyek kajian yang berupa sungai bawah tanah dengan batasantangkapan ai

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

Cited by 118 publications

References 22 publications

Statistical and Fractal Approaches on Long Time-Series to Surface-Water/Groundwater Relationship Assessment: A Central Italy Alluvial Plain Case Study

Statistical and Fractal Approaches on Long Time-Series to Surface-Water/Groundwater Relationship Assessment: A Central Italy Alluvial Plain Case Study

Use of seasonal trend decomposition to understand groundwater behaviour in the Permo-Triassic Sandstone aquifer, Eden Valley, UK

Distribusi Spasial Respon Debit Mataair dan Sungai Bawah Tanah Terhadap Hujan Untuk Prediksi Kapasitas Penyimpanan Air oleh Akuifer Karst di Sebagian Wilayah Karst di Pulau Jawa

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