+ Site Statistics
+ Search Articles
+ Subscribe to Site Feeds
EurekaMag Most Shared ContentMost Shared
EurekaMag PDF Full Text ContentPDF Full Text
+ PDF Full Text
Request PDF Full TextRequest PDF Full Text
+ Follow Us
Follow on FacebookFollow on Facebook
Follow on TwitterFollow on Twitter
Follow on Google+Follow on Google+
Follow on LinkedInFollow on LinkedIn

+ Translate

Estimation of disastrous floods risk via physically based models of river runoff generation

Extreme hydrological events: precipitation, floods and droughts: proceedings of the International Symposium held at Yokohama, Japan, 20-23 July 1993: 177-182
Estimation of disastrous floods risk via physically based models of river runoff generation
The traditional methods for the risk estimation of disastrous floods are based on frequency analysis of measured discharges or the use of estimation of the probable maximum precipitation and simple conceptual runoff models. These are unable to predict the effects of unusual combinations of runoff factors, the changes in runoff generation mechanisms and the influence of human activity.

(PDF 0-2 workdays service: $29.90)

Accession: 002373175

Related references

Estimating the risk of rainfall and snowmelt disastrous floods using physically-based models of river runoff generation. IAHS-AISH Publication 239: 95-100, 1997

Estimation of extreme flood characteristics using physically based models of runoff generation and stochastic meteorological inputs. Water International 27(1): 77-86, 2002

Physically based hydrological models for floods computations. Pages 47-55 1989, 1989

Estimation of extreme floods of the River Meuse using a stochastic weather generator and a rainfall-runoff model. Hydrological Sciences Journal 50(6): 1089-1103, 2005

Physically based models of watershed runoff. Rainfall runoff relationship proceedings International Symposium on Rainfall Runoff Modeling held May 18-21-1981 at Mississippi State University Mississippi State Mississippi USA edited by VP Singh: 202, 1982

Physically-based rainfall-runoff models; setbacks and solutions. Freiburger Schriften zur Hydrologie 13: 257-265, 2001

Study of runoff generation on hillslopes using tracer experiments and a physically-based numerical hillslope model. Hydrology, water resources and ecology in headwaters Proceedings of HeadWater' 98, Meran/Merano, Italy, 20-23 April 1998: 353-360, 1998

Analysis of the effects of soil management on runoff generation in olive orchards using a physically based model. Soil Use & Management 18(3): 191-198, September, 2002

Towards revised physically based parameter estimation methods for the Pitman monthly rainfall-runoff model. Water SA (Pretoria) 34(2): 183-191, 2008

Physically based estimation of soil water retention from textural data; general framework, new models, and streamlined existing models. Vadose Zone Journal 6(4): 766-773, 2007