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REVIEW AND ANALYSES OF SOME MAXIMAL DISCHARGES IN EUROPE

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2National Institute of Meteorology and Hydrology ... Becca. I. 8. 03.01.1926. 11700. 159683. Rhein. Rees. D. 7. 01.11.1787. 11800. 101700. Dounau. Wien ... – PowerPoint PPT presentation

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Title: REVIEW AND ANALYSES OF SOME MAXIMAL DISCHARGES IN EUROPE


1
REVIEW AND ANALYSES OF SOME MAXIMAL
DISCHARGES IN EUROPE
BALWOIS 2006 Conference
  • Ivan Blinkov1, V.Al.Stanescu2
  • 1Faculty of forestry Skopje , Dept. of Land and
    Water
  • E-mail blinkov_at_ukim.edu.mk
  • 2National Institute of Meteorology and Hydrology
    - Romania

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  • Very often after intensive and long-lasting
    droughts there is occurrence of extreme water
    run-off which leads to flash-floods or regional
    floods.
  • Although modern technology have rapid
    development, it is not known yet how to predict
    the extreme water discharge appearance of the
    small torrents. With all modern technology
    and\new approache in spatial or urban planning
    we can only minimize the damages caused by
    flash-floods of bigger rivers.
  • There are a difference between small torents and
    rivers, the time base of the hydrogram is very
    small and the extreme discharges appear
    unexpectedly, they reach the pick very fast
    (quickly) and there is wave retardation for a
    very short time. Therefore forecast of the
    appearance and size of the maximal discharges is
    very hard to be realized.

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Objectives and Methods
  • Aim of this paper is to try to establish some
    correlation between water discharge and other
    factors.
  • The full data contains 657 values. Part of these
    data is officially published in IAHS
    publications, and part is from the personal data
    of one of the authors of this paper. In the
    database there are very small catchments (like
    the small torrents), but also there are big
    rivers like Dounau.
  • The basic data contain name of the stream,
    profile, state, catchments area, registered or
    calculated discharge, date and note (comment).
  • First, according to the catchments area F (km2)
    and maximal discharge Qmax (m3/s) it is
    calculated the specific discharge value Qsp
    (m3/s.km2) too.

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  • Basic statistical parameters
  • number of information (N), average value (Xsr),
    maximal value (Xmax), minimal value (Xmin),
    standard deviation ?s), variety coefficient (Cv)
    and symmetry coefficient (Cs).
  • Analyzes of full series.
  • Analyzes of classified series by the catchement
    area) lt 50 km2 50.1ltFlt100 km2 100.1ltFlt200 km2
    200.1ltFlt500 km2 500.1ltFlt1000 km2 1000.1ltFlt2000
    km2 2000.1ltFlt5000 km2 5000.1ltFlt10000 km2
    10000.1ltFlt50000 km2 and catchments with area more
    than 50000.1 km2.
  • Analyzes of classified series by the specific
    discharge
  • Then it is calculated some ratio between the
    catchments area, discharge and specific discharge
    i.e.
  • Qmax f (F) and Qsp f (F).

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Basic parameters of the data series
12
10 highest discharges
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10 highest specific discharges
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Ratio Qmaxf(F)
Ratio Qspf(F)
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Analyzes of selected (classified) data
  • Criterias for classification
  • Catchment area ( F lt 100 km2)
  • Qsp gt 10 m3/s.km2.

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Basic parameters of grouped data series
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Basic parameters of grouped series Qsp gt 10
m3/s.km2
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Qsp f (F)
Qmax f (F) where Qsp gt 10 m3/s.km2
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Conclusions
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  • Characteristic of small torrents are extreme
    values of the specific discharge (Qsp
    m3/s.km2). It is obvious that these kind of
    specific discharges are happening in catchments
    areas under 236 km2
  • Between large discharges value and catchments
    area there is proportional linear correlation
  • (Y 0.0803 x 931.31). The determination
    coefficient is R2 0.6422, which shows good
    correlation.
  • Between specific discharge and catchments area
    there is disproportional (Y 27.485 x -0.5212)
    but strong correlation (R20.6613).
  • When data is grouped according to the catchments
    area, got functions are similar, but
    determination coefficients shows low correlation.

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  • Between extreme specific discharges (Qspgt10) and
    proper, appropriate catchments areas there is low
    negative correlation R2 0.2056, and
  • Y 21.083 x 0.0982.
  • There is interesting correlation between water
    discharges and catchments area right in these
    cases when are got extreme specific discharges.
    The dependence is linear (Y 13.401 x 38.583).
    By the way it is got almost functional
    dependence.
  • Large water discharges are rare phenomena, but
    they have unbelievable (very bad, big)
    consequences on the whole environment.

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  • We are lucky that in Macedonia never had happened
    discharges with those kinds of dimensions like
    the big European rivers. But, that is possible
    with the small water discharges. Its enough if
    we remember of Negotinska Reka case, also there
    are other registered cases, but with smaller
    dimensions river Pena, Dzepchishki Poroj, Anska
    Reka and other smaller torrents.

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Blagodaram na vnimanieto
Thank you for your attention
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