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<title>02-National Symposium on Hydrology, 16-18 December 1987, Vol.- I, at National Institute of Hydrology, Roorkee (India)</title>
<link>http://117.252.14.250:8080/jspui/handle/123456789/3191</link>
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<pubDate>Sun, 05 Apr 2026 17:34:44 GMT</pubDate>
<dc:date>2026-04-05T17:34:44Z</dc:date>
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<title>02-National Symposium on Hydrology, 16-18 December 1987, Vol.- I, at National Institute of Hydrology, Roorkee (India)</title>
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<title>Preface</title>
<link>http://117.252.14.250:8080/jspui/handle/123456789/3267</link>
<description>Preface
National Institute of Hydrology
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<pubDate>Thu, 01 Jan 1987 00:00:00 GMT</pubDate>
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<dc:date>1987-01-01T00:00:00Z</dc:date>
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<title>Contents</title>
<link>http://117.252.14.250:8080/jspui/handle/123456789/3266</link>
<description>Contents
National Institute of Hydrology
</description>
<pubDate>Thu, 01 Jan 1987 00:00:00 GMT</pubDate>
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<dc:date>1987-01-01T00:00:00Z</dc:date>
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<title>1-Flood Estimation in India using regional frequency analysis</title>
<link>http://117.252.14.250:8080/jspui/handle/123456789/3265</link>
<description>1-Flood Estimation in India using regional frequency analysis
Seth, S. M.; Singh, R. D.
The   use  of   regional   flood  frequency  approach  provides   one   of   the   most   effective   ways   for   the   estimation   of design   floods   at   ungauged   sites.   Many   distributions   such as   Gumbel   EV-I,   Log   normal,   Log   Pearson   type-3   etc,   are  some of   the  most   frequently  used  distributions   for  flood  frequency analysis.   Recently,   a   very   versatile   five   parameters   distribution   known   as   'Wakeby   Distribution has   been   introduced for   modelling   of   flood   flows,   which   overcomes   many  deficiencies   associated   with   the   traditional   distributions.   In   this paper,   some   of   the   flood   frequency   studies   conducted   for different   regions   in   India   are   briefly   reviewed.   Procedure and   results   of   regional   flood   frequency  analysis  using  Wakeby distribution   for   some   typical   regions   of   India   have   been described   and   discussed. Regression   relationships   in   the form   of  Q= A(CA) B have   been   developed   between   the   James   Stein   corrected   mean   flood,   and   catchment   area.   Though the   computations   for   Wakeby   distribution   are   quite   involved, with   the   use   of   computer  programmes  quite  encouraging  resultE have  been  obtained.
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<pubDate>Thu, 01 Jan 1987 00:00:00 GMT</pubDate>
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<dc:date>1987-01-01T00:00:00Z</dc:date>
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<title>2-Regional flood frequency approach estimation of flood peaks for Mahi and Sabarmati basin (sub-Zone 3a)</title>
<link>http://117.252.14.250:8080/jspui/handle/123456789/3264</link>
<description>2-Regional flood frequency approach estimation of flood peaks for Mahi and Sabarmati basin (sub-Zone 3a)
Gupta, P. N.
Knowledge  of magnitude  of  flood  related  to  its  problem frequency  of  recurrence  is  necessary  for  rational  and  economical design  of water-way and  foundations of bridges and appurtenances. In this  Paper hydrometeorologically homogenous Mahi  and  Sabarmati  Basin,  Sub-zone 3 (a)  with  semi-arid  climate has  been selected  for  study  Tweleve  bridge  sites with catchment  areas varying  from	19  km2  to	1094 km2  with  availability of annual flood  peaks  for the period  from	1961  to	1985,  have  been  considered  for  probability  studies.  Making use of  this data  and utilizing  the  regional  frequency  approach,  a dimensionless curve  giving  the  ratios  of  return  period  flood peaks to mean annual  flood  peak (Q2.33)  and  a correlation  between mean annual  flood  peak  and  relevant catchment  characteristics have been developed  using  linear regression  technique.
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<pubDate>Thu, 01 Jan 1987 00:00:00 GMT</pubDate>
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<dc:date>1987-01-01T00:00:00Z</dc:date>
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