scholarly journals Method and Excel VBA Algorithm for Modeling Master Recession Curve Using Trigonometry Approach

Ground Water ◽  
2017 ◽  
Vol 55 (6) ◽  
pp. 891-898 ◽  
Author(s):  
Kristijan Posavec ◽  
Marco Giacopetti ◽  
Marco Materazzi ◽  
Steffen Birk
Keyword(s):  
Recession Curve ◽  
Master Recession Curve

Quantifying flows along hydrological pathways by applying a new filtering algorithm in conjunction with master recession curve analysis

2013 ◽  
Vol 28 (26) ◽  
pp. 6211-6221 ◽  
Author(s):  
Ronan J. O'Brien ◽  
Bruce D. Misstear ◽  
Laurence W. Gill ◽  
Paul M. Johnston ◽  
Raymond Flynn
Keyword(s):  
Curve Analysis ◽  
Filtering Algorithm ◽  
Recession Curve ◽  
Master Recession Curve

scholarly journals ANALISIS KURVA RESESI ALIRAN DASAR MENGGUNAKAN MODEL RESERVOIR LINIER RECESSION CURVE HYDROOFFICE PADA DAS WURYANTORO KABUPATEN WONOGIRI PROPINSI JAWA TENGAH

2018 ◽  
Vol 7 (1) ◽  
pp. 26
Author(s):  
Bokiraiya Okky Latuamury
Keyword(s):  
River Basin ◽  
Water Storage ◽  
Base Flow ◽  
Recession Curve ◽  
Recession Curves ◽  
Master Recession Curve ◽  
Aquifer Characteristics ◽  
The Individual ◽  
The Relationship ◽  
Groundwater Outflow

The hydrograph recession curve expresses the theoretical relationship between the aquifer structure and the flow of groundwater flowing into the river basin channel. These theoretical relationships are often empirically depicted using the base flow recession curve. The hydrograph recession curve is commonly used to estimate the recessionary parameters, aquifer properties and to evaluate alternative hydrological hypotheses. The river basin hydrograph recession curve records the behavior of the relationship between the aquifer structure and its association with groundwater outflow to the river channel. This research was conducted with the aim: to analyze the characteristics of the baseflow recession based on the parameters and coefficients of the recession, and the shape of the individual recession curve and the master recession curve. The characteristics of the baseflow recession to research sub-watershed have the recession curves tend to sloped, describing the water storage well enough. The parameter Q0 (recession early), α and the recession constant Krb ranging from 0,80 – 0,90 for the individual and master recession curve in all three research sub-watershed. This calculation result indicates that the recession characteristics in three research sub-watershed have the condition of water storage is excellent, because they are supported by the aquifer characteristics dominated by the geological structures are more permeable (porous).

scholarly journals Inferring Changes in Dynamic Groundwater Storage from Recession Curve Analysis of Discharge Data

2004 ◽  
Vol 11 (1) ◽  
pp. 161-168
Author(s):  
Urszula Somorowska
Keyword(s):  
Late Summer ◽  
Curve Analysis ◽  
Groundwater Storage ◽  
Discharge Data ◽  
Groundwater Levels ◽  
Recession Curve ◽  
Basin Scale ◽  
Master Recession Curve ◽  
Terrestrial Water ◽  
System Functioning

Abstract Groundwater storage is an important element of terrestrial water storage. It influences the baseflow component of the river discharge which constitutes the majority of the outflow of Polish rivers. An evaluation of changes in the dynamic groundwater storage from point measurements of groundwater levels is usually a difficult task as groundwater data are scarce in time and space. Alternative approach involves recession curve analysis of discharge data. This study describes an approach to estimate the long-term changes in dynamic groundwater storage from daily discharges on a basin scale. Recession curve analysis is applied for identification of groundwater system functioning through derivation of master recession curve. The Master Recession Curve Tool developed by Lamb is used for automate analysis. Then results are coupled with a concept of nonlinear reservoir expressing discharge-storage relationship. As a result the volume of the groundwater storage and its temporal changes are derived on a yearly base, as a difference between highest values of storage during spring season and lowest values appearing in late summer or early autumn. The results show high annual variability of dynamic groundwater storage. The approach is presented on the example of lowland basin situated in central Poland, on the Mazovian Lowland (N 52°14’ – N 52°14’ and E 11°10’ – E 11°10’).

scholarly journals Analisis MRC untuk Karakterisasi Akuifer Karst di Mataair Mudal, Kabupaten Kuloprogo

2020 ◽  
Vol 33 (2) ◽  
Author(s):  
Afid Nurkholis ◽  
Tjahyo Nugroho Adji ◽  
Eko Haryono ◽  
Ahmad Cahyadi ◽  
Wisnu Agung Waskito ◽  
...  
Keyword(s):  
Karst Aquifer ◽  
Spring Discharge ◽  
Karst Aquifers ◽  
Diffuse Type ◽  
Time Intervals ◽  
Time To Peak ◽  
Recession Curve ◽  
Master Recession Curve ◽  
Discharge Regime ◽  
Karstification Degree

Akuifer karst memiliki triple porosity yang membuat karakterisasinya sulit dilakukan. Tujuan dari penelitian ini adalah menganalisis komponen hidrograf banjir dan membuat Master Recession Curve (MRC) pada akuifer karst yang mengimbuh Mataair Mudal. Data yang digunakan adalah debit aliran dan curah hujan yang tercatat setiap 30 menit pada November 2017 hingga Mei 2018 (6 bulan). Hasil penelitian menunjukkan bahwa Mataair Mudal memiliki complex discharge regime dengan derajat karstifikasi pada kelas 5,5. Analisis komponen hidrograf banjir menguatkan hasil perhitungan derajat karstifikasi. Waktu menuju puncak banjir (Tlag) yang tergolong cepat (2,5 jam) menunjukkan telah adanya aliran conduit. Perhitungan waktu menuju aliran dasar (Tb) baik secara manual (hidrograf banjir) maupun automatis (MRC) memiliki rerata sekitar 40 jam yang mencerminkan bahwa akuifer karst yang mengimbunya masih baik dalam menyimpan airtanah. Secara keseluruhan, akuifer karst di Mataair Mudal masih didominasi oleh retakan bertipe diffuse, meskipun sudah memiliki retakan bertipe conduit yang cukup berkembangThe objective of this research was to analyze the nature of the flood hydrograph components and create a Master Recession Curve (MRC) to estimate the degree of karstification in Mudal Spring. Discharge and rainfall data were recorded every 30 minutes at time intervals between November 2017 and May 2018. The results show that Mudal Spring has a complex discharge regime with a karstification degree in the class of 5.5. Meanwhile, the time to peak flood (Tlag) which is relatively fast (2.5 hours) shows the existence of conduit flow in the flood event. Calculation of time to baseflow (Tb) has an average of 40 hours which reflects that the karst aquifer was still good in storing groundwater. Overall, karst aquifers in Mudal Spring are still dominated by diffuse type voids, although they already have conduit type voids that are quite developed.

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