Flood plain information, Spring Valley Creek, San Diego County, California /

Mode of access: Internet.

Techniques for estimating flood peaks, volumes and hydrographs on small streams in South Dakota /

Mode of access: Internet.

Information for local officials on flood warning systems /

May 1979.

Methods for estimating peak discharge and flood boundaries of streams in Utah /

624-B

Improvement of flood-frequency estimates for selected small watersheds in eastern Kansas using a rainfall-runoff model /

Mode of access: Internet.

Flood warning system : does your community need one? /

Mode of access: Internet.

Hypothetical flood computation for a stream system /

Mode of access: Internet.

Flood fighting.

"January, 1985."

Governor's Workshop on the Great Flood of 1993 : long term approaches to the management of the Mississippi and Illinois rivers including lessons learned and information gaps.

"ILENR/RE-94/08."

Flood operation forecast : Hydrologic Engineering Center computer program 24-J2-L230.

At head of cover title: Generalized computer program.

Data Assimilation Technique For Flood Monitoring and Prediction

This paper focuses on the development of methods and cascade of models for flood monitoring and forecasting and its implementation in Grid environment. The processing of satellite data for flood extent mapping is done using neural networks. For flood forecasting we use cascade of models: regional numerical weather prediction (NWP) model, hydrological model and hydraulic model. Implementation of developed methods and models in the Grid infrastructure and related projects are discussed.

Map index, upper section, flood hazard analyses, Assunpink Creek watershed, Mercer and Monmouth Counties, New Jersey /

Shows "Stream reaches analyzed" and "Map location & plate number."

Can social resilience inform SA/SIA for adaptive planning for climate change in vulnerable regions?

This book represents a landmark effort to probe and analyze the theory and empirics of designing water disaster management policies. It consists of seven chapters that examine, in-depth and comprehensively, issues that are central to crafting effective policies for water disaster management. The authors use historical surveys, institutional analysis, econometric investigations, empirical case studies, and conceptual-theoretical discussions to clarify and illuminate the complex policy process. The specific topics studied in this book include a review and analysis of key policy areas and research priority areas associated with water disaster management, community participation in disaster risk reduction, the economics and politics of ‘green’ flood control, probabilistic flood forecasting for flood risk management, polycentric governance and flood risk management, drought management with the aid of dynamic inter-generational preferences, and how social resilience can inform SA/SIA for adaptive planning for climate change in vulnerable areas. A unique feature of this book is its analysis of the causes and consequences of water disasters and efforts to address them successfully through policy-rich, cross-disciplinary and transnational papers. This book is designed to help enrich the sparse discourse on water disaster management policies and galvanize water professionals to craft creative solutions to tackle water disasters efficiently, equitably, and sustainably. This book should also be of considerable use to disaster management professionals, in general, and natural resource policy analysts.

Data assimilation for morphodynamic prediction and predictability

This paper gives an overview of the project Changing Coastlines: data assimilation for morphodynamic prediction and predictability. This project is investigating whether data assimilation could be used to improve coastal morphodynamic modeling. The concept of data assimilation is described, and the benefits that data assimilation could bring to coastal morphodynamic modeling are discussed. Application of data assimilation in a simple 1D morphodynamic model is presented. This shows that data assimilation can be used to improve the current state of the model bathymetry, and to tune the model parameter. We now intend to implement these ideas in a 2D morphodynamic model, for two study sites. The logistics of this are considered, including model design and implementation, and data requirement issues. We envisage that this work could provide a means for maintaining up-to-date information on coastal bathymetry, without the need for costly survey campaigns. This would be useful for a range of coastal management issues, including coastal flood forecasting.