TIME SERIES ANALYSIS OF HYDROLOGIC DATA FOR WATER ...
TIME SERIES ANALYSIS OF HYDROLOGIC DATA FOR WATER ... TIME SERIES ANALYSIS OF HYDROLOGIC DATA FOR WATER ...
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Time series analysis of hydrologic data for water resources planning and management: a reviewfor detecting inhomogeneities in Turkish temperature dataset. International J. of Climatology, 18, 5, 561–578.TSAKALIAS G. and KOUTSOYIANNIS D., 1999: A comprehensivesystem for the exploration and analysis of hydrologicaldata. Water Resour. Management, 13, 4, 269–302.VECCHIA A.V. and BALLERINI R., 1991: Testing for periodicautocorrelations in seasonal time series data. Biometrika,78, 53–63.WALANUS-GLIWICE A., 1995: The problem of periodicityin the hydrometeorology. Proceedings of the Conference onClimate Dynamics and the Global Change Perspective, Cracow,Poland, October 17–20, 1995. http://www.cyfkr.edu.pl/~ziniedzw/paper101.html(accessed on 30 January2004).WEBB B.W., 1996: Trends in stream and river temperature.Hydrological Processes, 10, 2, 205–226.WESTMACOTT J.R. and BURN D.H., 1997: Climate changeeffects on the hydrologic regime within the Churchill-Nelson River Basin. J. of Hydrology, 202, 1-4, 263–279.WILSON T.M., OGDEN A.E. and MILLS H.H., III., 1992:Time-series analysis of groundwater chemistry in the westTennessee sand aquifers. J. of the Tennessee Academy ofScience, 67, 3, 29–33.WMO, 1966: Climatic change. Technical Note 79, the WorldMeteorological Organization, Geneva.XU Z.X., TAKEUCHI K. and ISHIDAIRA H., 2003: Monotonictrend and step changes in Japanese precipitation. J. ofHydrology, 279, 1-4, 144–150.YU P-S. YANG T-C. and WU C-K., 2002: Impact of climatechange on water resources in southern Taiwan. J. of Hydrology,260, 1-4, 161–175.YU Y-S., ZOU S. and WHITTEMORE D., 1993: Nonparametrictrend analysis of water quality data of rivers inKansas. J. of Hydrology, 150, 1, 61–80.YUE S. and WANG C.Y., 2002: The influence of serial correlationon the Mann-Whitney test for detecting a shift in median.Advances in Water Resources, 25, 325–333.YUE S. and WANG C.Y., 2004: The Mann-Kendall test modifiedby effective sample size to detect trend in serially correlatedhydrological series. Water Resources Management,18, 3, 201–218.YUE S., PILON P. and PHINNEY B., 2003: Canadian streamflowtrend detection: Impacts of serial and crosscorrelation.Hydrological Sciences J., 48, 1, 51–64.YUE S., PILON P., PHINNEY B. and CAVADIAS G., 2002a:The influence of autocorrelation on the ability to detecttrend in hydrological series. Hydrological Processes, 16, 9,1807–1829.YUE S., PILON P. and CAVADIAS G., 2002b: Power of theMann-Kendall and Spearman’s rho tests for detectingmonotonic trends in hydrological series. J. of Hydrology,259, 1-4, 254–271.YUREKLI K., KURUNC A. and SIMSEK, H., 2004: Predictionof Daily Maximum Streamflow Based on StochasticApproaches. J. of Spatial Hydrology, 4, 2, 1–12.ZANINOVIC K. and GAJIC-CAPKA, M., 2000: Changes incomponents of the water balance in the Croatian lowlands.Theoretical and Applied Climatology, 65, 1-2, 111–117.ZHANG X., HARVEY K.D., HOGG W.D. and YUZYK T.R.,2001: Trends in Canadian streamflow. Water Resour. Research,37, 4, 987–998.ZIPPER C.E., HOLTZMAN G.I., DARKEN P., THOMAS P.,GILDEA J. and SHABMAN L., 1998: An analysis of longtermwater quality trends in Virginia.http://www.nwqmc.org/98proceedings/Papers/49-ZIPP.html(accessed on 24 January 2004).Received 28. October 2005Review accepted 16. February 2006ANALÝZA ČASOVÝCH RADOVHYDROLOGICKÝCH ÚDAJOV PRE PLÁNOVANIEA RIADENIE VODNÝCH ZDROJOV: PREHĽADDeepesh Machiwal a Madan K. JhaV hydrológii, klimatológii, geológii, oceánografii,seizmológii a i. sa už dlho používa analýza časovýchradov. V tomto príspevku je uvedený prehľad použitiaštatistických techník týchto radov v hydrológii a klimatológii.Z celkového prehľadu problematiky vyplýva, žetieto nástroje celosvetovo pritiahli pozornosť výskumníkovnajmä na zrážky a prietoky nasledované teplotamia kvalitou povrchových vôd. V strede záujmu v užitomvýskume bolo používanie bežných štatistických testov aúčinnosť použitia ďalších štatistických testov. Naopak,menej štúdií je uvedené v prehľade literatúry na témyzaoberajúce sa vývojom nových prístupov a metód,alebo aj úprav starších postupov na riešenie problému.Avšak dodnes nemožno nájsť v literatúre ani jednuštúdiu, ktorá by sa zaoberala všetkými hľadiskami (t.j.všetkými základnými vlastnosťami) analýzy hydrologickýchčasových radov. Väčšina riešiteľovpoužíva na zistenie tendencií (tends) Kendallov testalebo sezónny test podľa Kendalla, avšak testy na zisteniezvyšných trendov a ďalšie vlastnosti časovýchradov (t.j. stacionarita, homogenita, periodicita a perzistencia)sa zanedbávajú. Hlavným dôvodom takéhotozanedbávania je pravdepodobne nedostatok vedomostí otýchto nástrojoch analýzy, a/alebo nedbalosť výskumnýchpracovníkov. Je preto potrebné zamerať budúceštúdie na odstránenie týchto nedostatkov. Na základepredloženého prehľadu sú uvedené nároky na potrebnývýskum hydrologických a klimatologických hydrologickýchradov v budúcnosti. Môžu poslúžiť ako návodpre vedeckých pracovníkov, výskumníkov a tiež prepraktických vodohospodárov.257
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Time series analysis of hydrologic data for water resources planning and management: a reviewfor detecting inhomogeneities in Turkish temperature dataset. International J. of Climatology, 18, 5, 561–578.TSAKALIAS G. and KOUTSOYIANNIS D., 1999: A comprehensivesystem for the exploration and analysis of hydrologicaldata. Water Resour. Management, 13, 4, 269–302.VECCHIA A.V. and BALLERINI R., 1991: Testing for periodicautocorrelations in seasonal time series data. Biometrika,78, 53–63.WALANUS-GLIWICE A., 1995: The problem of periodicityin the hydrometeorology. Proceedings of the Conference onClimate Dynamics and the Global Change Perspective, Cracow,Poland, October 17–20, 1995. http://www.cyfkr.edu.pl/~ziniedzw/paper101.html(accessed on 30 January2004).WEBB B.W., 1996: Trends in stream and river temperature.Hydrological Processes, 10, 2, 205–226.WESTMACOTT J.R. and BURN D.H., 1997: Climate changeeffects on the hydrologic regime within the Churchill-Nelson River Basin. J. of Hydrology, 202, 1-4, 263–279.WILSON T.M., OGDEN A.E. and MILLS H.H., III., 1992:Time-series analysis of groundwater chemistry in the westTennessee sand aquifers. J. of the Tennessee Academy ofScience, 67, 3, 29–33.WMO, 1966: Climatic change. Technical Note 79, the WorldMeteorological Organization, Geneva.XU Z.X., TAKEUCHI K. and ISHIDAIRA H., 2003: Monotonictrend and step changes in Japanese precipitation. J. ofHydrology, 279, 1-4, 144–150.YU P-S. YANG T-C. and WU C-K., 2002: Impact of climatechange on water resources in southern Taiwan. J. of Hydrology,260, 1-4, 161–175.YU Y-S., ZOU S. and WHITTEMORE D., 1993: Nonparametrictrend analysis of water quality data of rivers inKansas. J. of Hydrology, 150, 1, 61–80.YUE S. and WANG C.Y., 2002: The influence of serial correlationon the Mann-Whitney test for detecting a shift in median.Advances in Water Resources, 25, 325–333.YUE S. and WANG C.Y., 2004: The Mann-Kendall test modifiedby effective sample size to detect trend in serially correlatedhydrological series. Water Resources Management,18, 3, 201–218.YUE S., PILON P. and PHINNEY B., 2003: Canadian streamflowtrend detection: Impacts of serial and crosscorrelation.Hydrological Sciences J., 48, 1, 51–64.YUE S., PILON P., PHINNEY B. and CAVADIAS G., 2002a:The influence of autocorrelation on the ability to detecttrend in hydrological series. Hydrological Processes, 16, 9,1807–1829.YUE S., PILON P. and CAVADIAS G., 2002b: Power of theMann-Kendall and Spearman’s rho tests for detectingmonotonic trends in hydrological series. J. of Hydrology,259, 1-4, 254–271.YUREKLI K., KURUNC A. and SIMSEK, H., 2004: Predictionof Daily Maximum Streamflow Based on StochasticApproaches. J. of Spatial Hydrology, 4, 2, 1–12.ZANINOVIC K. and GAJIC-CAPKA, M., 2000: Changes incomponents of the water balance in the Croatian lowlands.Theoretical and Applied Climatology, 65, 1-2, 111–117.ZHANG X., HARVEY K.D., HOGG W.D. and YUZYK T.R.,2001: Trends in Canadian streamflow. Water Resour. Research,37, 4, 987–998.ZIPPER C.E., HOLTZMAN G.I., DARKEN P., THOMAS P.,GILDEA J. and SHABMAN L., 1998: An analysis of longtermwater quality trends in Virginia.http://www.nwqmc.org/98proceedings/Papers/49-ZIPP.html(accessed on 24 January 2004).Received 28. October 2005Review accepted 16. February 2006ANALÝZA ČASOVÝCH RADOV<strong>HYDROLOGIC</strong>KÝCH ÚDAJOV PRE PLÁNOVANIEA RIADENIE VODNÝCH ZDROJOV: PREHĽADDeepesh Machiwal a Madan K. JhaV hydrológii, klimatológii, geológii, oceánografii,seizmológii a i. sa už dlho používa analýza časovýchradov. V tomto príspevku je uvedený prehľad použitiaštatistických techník týchto radov v hydrológii a klimatológii.Z celkového prehľadu problematiky vyplýva, žetieto nástroje celosvetovo pritiahli pozornosť výskumníkovnajmä na zrážky a prietoky nasledované teplotamia kvalitou povrchových vôd. V strede záujmu v užitomvýskume bolo používanie bežných štatistických testov aúčinnosť použitia ďalších štatistických testov. Naopak,menej štúdií je uvedené v prehľade literatúry na témyzaoberajúce sa vývojom nových prístupov a metód,alebo aj úprav starších postupov na riešenie problému.Avšak dodnes nemožno nájsť v literatúre ani jednuštúdiu, ktorá by sa zaoberala všetkými hľadiskami (t.j.všetkými základnými vlastnosťami) analýzy hydrologickýchčasových radov. Väčšina riešiteľovpoužíva na zistenie tendencií (tends) Kendallov testalebo sezónny test podľa Kendalla, avšak testy na zisteniezvyšných trendov a ďalšie vlastnosti časovýchradov (t.j. stacionarita, homogenita, periodicita a perzistencia)sa zanedbávajú. Hlavným dôvodom takéhotozanedbávania je pravdepodobne nedostatok vedomostí otýchto nástrojoch analýzy, a/alebo nedbalosť výskumnýchpracovníkov. Je preto potrebné zamerať budúceštúdie na odstránenie týchto nedostatkov. Na základepredloženého prehľadu sú uvedené nároky na potrebnývýskum hydrologických a klimatologických hydrologickýchradov v budúcnosti. Môžu poslúžiť ako návodpre vedeckých pracovníkov, výskumníkov a tiež prepraktických vodohospodárov.257
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