By P. Kyle House, Robert H. Webb, Victor R. Baker, Daniel R. Levish

Published through the yank Geophysical Union as a part of the Water technological know-how and alertness Series.

Ancient Floods, sleek risks: ideas and purposes of Paleoflood Hydrology is a milestone e-book with contributions to simple and utilized technological know-how. reports in hydrology, climatology, hydraulics, geochronology, geomorphology, and stratigraphy spotlight contemporary advances in instruments, concepts, and techniques for studying the actual proof of enormous floods. The papers during this quantity illustrate a variety of vital issues, including:

  • how paleoflood hydrology offers a foundation for the estimation of flood significance and frequency for flood threat analysis
  • the courting among weather variability and flood frequency
  • advances within the hydraulic modeling of floods
  • new functions of distant sensing technology
  • superior realizing of the sedimentology, stratigraphy, and chronology of flood deposits
  • insight into geographic and geologic controls on floods

A distinctive quantity, this paintings bargains a wealth of data to someone keen on the learn of flood science.


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64 I 100 ........ I 1000 ........ I 10000 Annual Peak Discharge, cubic meters per second Figure 5. Basedon 41 unregulatedyearsfrom within the imerval 1906-1971. Data from Corps of Engineers[1986]. 80. REDMOND ET AL. , occurrenceis comparedin Figure 4, with the 1O-yearrun- this volume]. The inference drawn from these considerations is that an ning mean of SouthernCalifornia coastalprecipitation assumptionof constantclimate for this area is incorrectat duringthe October-Marchrainy season. Very large floods (approximately 10-year return or decadal to centennial time scales.

65 • 3x10 8 2x10 8 / ß lx10 8 10 100 1000 10000 Annual Peak Discharge, cubic meters per second relative increase. The highest100-yearfrequencyon the Verde River occursduringthe period centeredon the late 1800s. Concentratingespeciallyon the leastcommonand thusvery large Figure 8. Relationbetweenannualmaximumpeakdischarge and annualtotal discharge,Verde River at Tangle Creek, Arizona (lower Verde River). Basedon 54 yearsof data (1946-1999). 81. 00-• 730 899 1746 • 1866-[ 632 / 803'804'801t 1382,1384 ....

Scatterplotof June-NovemberSouthernOscillation Index versus subsequentOctober-March statewide average Arizona precipitation,for 1933/34 through 1999-00. Positionof averagesymbolson Y-axis is proportionalto value. 50. 56. , 1998, 1999, 2000a]. , the streamflowrelations to SOI look very much like the graphsin Figures 11 and 12. " assumptioncannotbe valid for climate on interannual time scales. Woolhiseret al. [ 1993] perturbeda stochastic "weather generator"with SOI and found that in the Southwestin winter, ENSO phaseaffectsboth of the main precipitation processes:its occurrenceand its amount (conditionalon occurrence).

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