2006
DOI: 10.1007/s00254-006-0384-0
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Assessment of regional karstification degree and groundwater sensitivity to pollution using hydrograph analysis in the Velka Fatra Mountains, Slovakia

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Cited by 34 publications
(29 citation statements)
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“…Kovács et al [12] showed that the recession coefficient allows for obtaining important information about aquifer hydraulic parameters and conduit network characteristics. One main advantage of recession curve analysis is that a set of empirical, quantitative parameters attributed to drainage mechanisms can be calculated [15].Analysis of individual recession periods sometimes generates inconsistences related to the complexity of groundwater circulation and the processes acting on the system [16]. Therefore, a master recession curve (MRC) is commonly used for simultaneously analyzing a set of hydrograph recessions at a particular catchment [17][18][19][20][21][22].Malík and Vojtková [23] performed a recession curve analysis to evaluate the karstification degree and the hydrodynamic behavior of an aquifer.…”
mentioning
confidence: 99%
“…Kovács et al [12] showed that the recession coefficient allows for obtaining important information about aquifer hydraulic parameters and conduit network characteristics. One main advantage of recession curve analysis is that a set of empirical, quantitative parameters attributed to drainage mechanisms can be calculated [15].Analysis of individual recession periods sometimes generates inconsistences related to the complexity of groundwater circulation and the processes acting on the system [16]. Therefore, a master recession curve (MRC) is commonly used for simultaneously analyzing a set of hydrograph recessions at a particular catchment [17][18][19][20][21][22].Malík and Vojtková [23] performed a recession curve analysis to evaluate the karstification degree and the hydrodynamic behavior of an aquifer.…”
mentioning
confidence: 99%
“…Kondisi karstifikasi akuifer seringkali sulit untuk diketahui, sehingga untuk menggambarkan karakteristik, kondisi internal, dan sistem aliran dalam akuifer dapat dianalisis melalui pendekatan hidrogeokimia (Adji 2012Liu et al 2004a) dan juga analisis hidrograf mataair (Bonacci 1993;White 2002;Kresic and Bonacci 2010;Mohammadi and Shoja, 2013;Quinlan 1989;Quinland et al 1991). Pada masa beberapa tahun terakhir, analisis kurva resesi juga dilakukan untuk menentukan tingkat karstifikasi akuifer karst berdasarkan koefisien resesi sub rezim debit alirannya (Malik 2007;Malik andVojtkova 2010, 2012) dan berdasarkan analisis seluruh komponen hidrograf (Rashed, 2012). Selain itu analisis deret waktu di akuifer karst juga telah 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;Zhang et al 2013, Adji andBahtiar 2016).…”
Section: Rumusan Masalahunclassified
“…Atas dasar banyaknya faktor yang berpengaruh inilah, maka tingkat perkembangan akuifer karst akan sangat bervariasi secara spasial (Zhu et al, 2013). Konsekuensinya, Malik (2007) menjelaskan bahwa sifat simpanan dan pelepasan airtanah karst juga sangat tergantung pada tahapan karstifikasi yang terjadi di akuifer.…”
Section: B Perkembangan Akuifer Karstunclassified
“…Sub-rezim koefisien aliran laminer dihitung menggunakan Rumus Maillet (1905), sedangkan sifat aliran turbulen t dihitung dari Rumus Kullman (1983) (11) Koefisien α dan β kemudian digunakan untuk menentukan nilai parameter kurva resesi. Berdasarkan nilai linear dan koefisien resesi sub regim aliran, Malik (2007) membuat suatu index yang disebut tingkat karstifikasi. Tingkat karstifikasi berdasarkan rumus kurva resesi dibagi menjadi 10 kelas.…”
Section: Akuifer Yang Telah Terkarstifikasi Secara Lanjut (Highly Karunclassified