1. bookVolume 60 (2012): Issue 1 (March 2012)
Journal Details
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Format
Journal
eISSN
1338-4333
ISSN
0042-790X
First Published
28 Mar 2009
Publication timeframe
4 times per year
Languages
English
access type Open Access

Construction of Master Recession Curve Using Genetic Algorithms

Published Online: 06 Mar 2012
Volume & Issue: Volume 60 (2012) - Issue 1 (March 2012)
Page range: 3 - 15
Journal Details
License
Format
Journal
eISSN
1338-4333
ISSN
0042-790X
First Published
28 Mar 2009
Publication timeframe
4 times per year
Languages
English
Construction of Master Recession Curve Using Genetic Algorithms

The article describes a new methodology of using genetic algorithms to assemble a natural time series of discharge recession, from which a master recession curve can be interpreted both for streams and for springs. Presented approach can avoid obstacles such as limited time-series datasets, incomplete recessions or too many recessionary segments in many recession series, different time intervals of observations (daily or weekly frequencies). Short time-series intervals, imprecise or mistaken measurements and different types of datasets (averaged or directly measured data) are taken into account as well. Even rough measurements of discharges with inaccurate sensing range can be analysed, if sufficiently long observation is available. Complicated hydrograph shapes in the case of e.g. karstic springs (often caused by combination of laminar and turbulent discharge sub-regimes due to karst network settings) can be processed as well. Subsequent construction of master recession curve is much easier an offers better conditions for its interpretation. Presented algorithm was already implemented to a programme solution, completed on the user form.

Keywords

BARNES B. S., 1939: The structure of Discharge-Recession Curves. Trans. Amer. Geophys. Un. Part IV, 721-725.10.1029/TR020i004p00721Search in Google Scholar

BAYER P., FINKEL M., 2004: Evolutionary algorithms for the optimization of advective control of contaminated aquifer zones. Wat. Resour. Res., 40, 6, pp. 19, DOI:10.1029/2003WR002675.10.1029/2003WR002675Search in Google Scholar

BOUSSINESQ M. J., 1877: Essai sur la theories des eax courantes. Memoires presentes par divers savants a l'Academie des Sciences de l'Institut National de France, Tome XXIII, 1.Search in Google Scholar

BOUSSINESQ M. J., 1904: Recherches théoriques sur l'écoulement des nappes d'eau infiltrées dans le sol et sur le debit des sources. Journal de mathématiques, 5e, serie 10.Search in Google Scholar

COOPER H. H.jr., RORABAUGH M. I., 1963: Groundwater movements and bank storage due to flood stages in surface streams. USGS Water Supply Paper, 1536-J, 343-366.Search in Google Scholar

CHIU Y. Ch., CHANG L. Ch., CHANG F. J., 2007: Using a hybrid genetic algorithm - simulated annealing algortithm for fuzzy programming of reservoir operation. Hydrological Processes, 21, 23, 3162-3172.10.1002/hyp.6539Search in Google Scholar

ČISTÝ M., BAJTEK Z., 2009: Hybridná metóda pre návrh distribučných systémov rozvodu vody. (Hybrid method for least-cost design of the water distribution systems.) (In Slovak with English summary.) J. Hydrol. Hydromech., 57, 2, 130-141.10.2478/v10098-009-0012-2Search in Google Scholar

DROGUE C., 1967: Essai de détermination des composantes de l'écoulemet des sources karstiques. Evaluation de la capacité de rétention par chenaux et fissures. Chronique d'Hydrogéologie, 10, Bureau de Recherches Geologiques et Miniéres, Paris.Search in Google Scholar

GREGOR M., 2008: Vývoj programov na analýzu časových radov výdatností prameňov a prietokov vodných tokov. (Software development for time-series analysis of springs yields and river discharges.) (In Slovak.) Podzemná voda, 14, 2, 191-200.Search in Google Scholar

HydroOffice, 2011: HydroOffice software - software for water science. Software. Modules. RC. (Online.) Available from: http://www.hydrooffice.orgSearch in Google Scholar

HYNEK J., 2008: Genetické algoritmy a genetické programování. Praha, Grada Publishing, 2008, ISBN 978-80-247-2695-3, 200 p.Search in Google Scholar

GRIFFITHS G. A., CLAUSEN B., 1997: Streamflow recession in basins with multiple water storages. J. Hydrol., 190, 60-74.10.1016/S0022-1694(96)03060-0Search in Google Scholar

HOLKO L., PARAJKA J., KOSTKA Z., 2003: Použitie optimalizačných metód pri modelovaní akumulácie a topenia snehu. A. Hydrol. Slovaca, 4, 1, 2003, 183-189.Search in Google Scholar

HORTON R. E., 1933: The role of infiltration in the hydrological cycle. Trans. Am. Geophys. Union, 14, 446-460.10.1029/TR014i001p00446Search in Google Scholar

KOVÁCS A., 2003: Geometry and hydraulic parameters of karst aquifers - a hydrodynamic modelling approach. [PhD. Thesis.] La Faculté des sciences de ľUniversité de Neuchâtel, Suisse, pp. 131.Search in Google Scholar

KULLMAN E., 1980: L'evaluation du regime des eaux souterraines dans les roches carbonatiques du Mésozoique des Carpates Occidentales par les courbes de tarissement des sources. Západné Karpaty, sér. hydrogeológia a inžinierska geológia, 3. Geologický ústav Dionýza Štúra, Bratislava, 7-60.Search in Google Scholar

KULLMAN E., 1990: Krasovo-puklinové vody. Karst-fissure waters. Bratislava, Geologický ústav Dionýza Štúra, 1990, pp. 184.Search in Google Scholar

KULLMAN E., 2000: Nové metodické prístupy k riešeniu ochrany a ochranných pásiem zdrojov podzemných vôd v horninových prostrediach s krasovo-puklinovou a puklinovou priepustnosťou. Podzemná voda, VI, 2, 31-41.Search in Google Scholar

LAMB R., BEVEN K., 1997: Using interactive recession curve analysis to specify a general catchment storage model. Hydrology & Earth System Sciences, 1, 1, 101-113.10.5194/hess-1-101-1997Search in Google Scholar

MAILLET E., 1905: Essais d'Hydraulique Souteeraine et Fluviale. Paris, Hermann Paris, pp. 218.10.2307/198208Search in Google Scholar

MALÍK P., 2007: Assessment of regional karstification degree and groundwater sensitivity to pollution using hydrograph analysis in the Velka Fatra Mts., Slovakia. Water Resources and Environmental Problems in Karst. Environmen. Geol., 51, 707-711.10.1007/s00254-006-0384-0Search in Google Scholar

MALÍK P., 2010: Separácia hydrogramu pomocou parametrov reprezentatívnej výtokovej čiary. (Hydrograph separation into flow components using parameters of the master recession curve.) (In Slovak with English summary.) Podzemná voda, XVI, 1, 113-124.Search in Google Scholar

PADILLA A., PULIDO BOSCH A., MANGIN A., 1994: Relative importance of baseflow and quickflow from hydrographs of karst spring. Ground Wat., 32, 267-277.10.1111/j.1745-6584.1994.tb00641.xSearch in Google Scholar

POSAVEC K., BAČANI A., NAKIĆ Z., 2006: A visual basic spreadsheet macro for recession curve analysis. Ground Wat., 44, 5, 764-767.Search in Google Scholar

RUTLEDGE A. T., 1998: Computer Programs for Describing the Recession of Ground-Water discharge and for Estimating Mean Ground-Water Recharge and Discharge from Streamflow Records - Update. Water-Resources Investigation Report 98-4148, U. S. Geological Survey, pp. 43.Search in Google Scholar

SAMUEL M. P., JHA M., 2003: Estimation of Aquifer Parameters from Pumping Test Data by Genetic Algorithm Optimalization Technique. J. Irrig. Drain. Engng., 129, 5, 348-359.10.1061/(ASCE)0733-9437(2003)129:5(348)Search in Google Scholar

SHARMA V., SWAYNE D. A., LAM D., SCHERTZER W., 2006: Parallel Shuffed Complex Evolution Algorithm for Calibration of Hydrological Models. In: The Proceedings of the 20th International Symposium on High-Performance Computing in an Advanced Collaborative Environment (HPCS'06), Newfoundland, 30-35.10.1109/HPCS.2006.34Search in Google Scholar

SCHOELLER H., 1965: Hydrodynamique dans le Karst. Hydrogeologie des roches fissures. Actes du colloque de Dubrovnik 1965, IAHS-UNESCO.Search in Google Scholar

TALLAKSEN L., 1995: A review of baseflow recession analysis. J. Hydrol., 165, 349-370.10.1016/0022-1694(94)02540-RSearch in Google Scholar

TALLAKSEN L. M., van LANEN H. A. J., (Eds.), 2004: Hydrological Drought, Processes and Estimation Methods for Streamflow and Groundwater. Developments in Water Science, Amsterdam, Elsevier Science B. V., 48, pp. 579.Search in Google Scholar

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