Regional flood probabilities

Water Resources Research

Volumn 39, Issue 4, 2003, Pages

  Troutman, Brent M ^a,b   Karlinger, Michael R ^a,b  

^a DENVER FEDERAL CENTER   (United States)

^b U S GEOLOGICAL SURVEY   (United States)

Author keywords

Extreme value; Flood frequency; Regional flood frequency; Spatial correlation

Indexed keywords

COMPUTER SIMULATION; PROBABILITY; RAIN; STREAM FLOW;

REGIONAL FLOOD PROBABILITY (RFP); SPATIAL CORRELATION;

FLOOD CONTROL;

DRAINAGE NETWORK; EXTREME EVENT; FLOOD FORECASTING; PROBABILITY; RAINFALL; RECURRENCE INTERVAL;

NORTH AMERICA; PUGET SOUND; UNITED STATES; WASHINGTON [UNITED STATES];

EID: 17044443363     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2001WR001140     Document Type: Article

References (22)

1. Aldous, D., The random walk construction of uniform random spanning trees and uniform labeled trees, SIAM J. Disc. Math., 3, 450-465, 1990.
2. Berman, S. M., Limit theorems for the maximum term in stationary sequences, Ann. Math. Stat., 35, 502-516, 1964.
3. Broder, A., Generating random spanning trees, paper presented at Thirtieth Annual Symposium on Foundations of Computer Science, IEEE, New York, 1989.
4. Goodall, C., Examining residuals, in Understanding Robust and Exploratory Data Analysis, edited by D. C. Hoaglin, F. Mosteller, and J. W. Tukey, chap. 7, John Wiley, 1983.
5. Gottschalk, L., Correlation and covariance of runoff, Stochastic Hydrol. Hydraul., 7, 85-101, 1993.
6. Hosking, J. R. M., and J. R. Wallis, Regional Frequency Analysis, Cambridge Univ. Press, New York, 1997.
7. Hsing, T., J. Husler, and R. D. Reiss, The extremes of a triangular array of normal random variables, Ann. Appl. Probab., 6(2), 671-686, 1996.
8. Kuczera, G., Effect of sampling uncertainty and spatial correlation on an empirical Bayes procedure for combining site and regional information, J. Hydrol., 65, 373-398, 1983.
9. National Research Council, Estimating Probabilities of Extreme Floods: Methods and Recommended Research, Natl. Acad. Press, Washington, D. C., 1988.
10. Pickands, J., Maxima of stationary Gaussian processes, Z. Wahrscheinlichkeitstheorie Verw. Geb., 7, 190-223, 1967.
11. Potter, K. W., Research on flood frequency analysis: 1983-1986, U.S. Natl. Rep. Int. Union Geod. Geophys. 1983-1986, Rev. Geophys., 25, 113-118, 1987.
12. Rodriguez-Iturbe, I., A. Rinaldo, R. Rigon, R. L. Bras, A. Marani, and E. Ijjasz-Vasquez, Energy dissipation runoff production, and the three-dimensional structure of river basins, Water Resour. Res., 28(4), 1095-1103, 1992.
13. Scheidegger, A. E., A stochastic model for drainage patterns into an intramontane trench, Bull. Int. Assoc. Sci. Hydrol., 12(1), 15-20, 1967.
14. Stuabtiz, W. W., G. C. Bortleson, S. D. Semans, A. J. Tersoriero, and R. W. Black, Water-quality assessment of the Puget Sound Basin, Washington: Environmental setting and its implications for water quality and aquatic biota, U.S. Geol. Surv. Water Resour. Invest. Rep., 97-4013, 76 pp., 1997.
15. Sumioka, S. S., D. L. Kresch, and K. D. Kasnick, Magnitude and frequency of floods in Washington, U.S. Geol. Surv. Water Resour. Invest. Rep., 97-4277, 91 pp., 1998.
16. Sveinsson, O. G. B., D. C. Boes, and J. D. Salas, Population index flood method for regional frequency analysis, Water Resour. Res., 37(11), 2733-2748, 2001.
17. Tasker, G. D., and J. R. Stedinger, An operational GLS model for hydrologic regression, J. Hydrol., 111, 361-375, 1989.
18. Troutman, B. M., and M. R. Karlinger, Gibbs' distribution on drainage networks, Water Resour. Res., 28(2), 563-577, 1992.
19. Troutman, B. M., and M. R. Karlinger, Inference for a generalized Gibbsian distribution on channel networks, Water Resour. Res., 30(7), 2325-2338, 1994.
20. Troutman, B. M., and M. R. Karlinger, Spatial channel networks in hydrology, in Stochastic Methods in Hydrology: Rainfall, Landforms, and Floods, Adv. Ser. Stat. Sci. Appl. Probability, vol. 7, edited by O. E. Barndorff-Nielsen et al., pp. 85-121, World Sci., River Edge, N. J., 1998.
21. Troutman, B. M., and T. M. Over, River flow mass exponents with fractal channel networks and rainfall, Adv. Water Resour., 24, 967-989, 2001.
22. U.S. Geological Survey, Hydrologic unit map-1974, State of Washington, 1 sheet, scale 1:500,000, Reston, Va., 1976.