Stream Gaging and Flood Forecasting
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Assessment of Antecedent Moisture Condition on Flood Frequency An
Journal of Hydrology: Regional Studies 26 (2019) 100629 Contents lists available at ScienceDirect Journal of Hydrology: Regional Studies journal homepage: www.elsevier.com/locate/ejrh Assessment of antecedent moisture condition on flood frequency: An experimental study in Napa River Basin, CA T ⁎ Jungho Kima,b, , Lynn Johnsona,b, Rob Cifellib, Andrea Thorstensenc, V. Chandrasekara a Cooperative Institute for Research in the Atmosphere (CIRA), Colorado State University, Fort Collins, CO, USA b NOAA Earth System Research Laboratory, Physical Sciences Division, Boulder, CO, USA c NOAA National Weather Service, North Central River Forecast Center, USA ARTICLE INFO ABSTRACT Keywords: Study region: This study region is the Napa River basin in California whose antecedent soil Flood frequency moisture states and precipitation magnitudes are primary drivers to occur extreme floods. Antecedent moisture condition Study focus: This study assessed the influence of antecedent moisture condition on flood fre- Precipitation frequency quency, based on an experimental application scheme and pre-processing. For this purpose, T- T-year flood simulation year flood simulations were conducted using a distributed hydrologic model. Distributed pre- Distributed hydrologic model cipitation patterns which have an amount of precipitation corresponding to a specific T-year Radar-based precipitation data return period were generated by representative radar-based precipitation fields and precipitation frequency analysis. Dry, normal, and wet of antecedent moisture condition were applied to each T-year flood simulation to reflect variable initial soil moisture states. New hydrological insights for the region: The relationship among flood frequency, antecedent moisture condition, and precipitation frequency was derived for a specific target storm event. For normal antecedent moisture states, the relation showed that T-year precipitation could generate floods having return intervals nearly identical to those derived using gage records. -
Geomorphic Classification of Rivers
9.36 Geomorphic Classification of Rivers JM Buffington, U.S. Forest Service, Boise, ID, USA DR Montgomery, University of Washington, Seattle, WA, USA Published by Elsevier Inc. 9.36.1 Introduction 730 9.36.2 Purpose of Classification 730 9.36.3 Types of Channel Classification 731 9.36.3.1 Stream Order 731 9.36.3.2 Process Domains 732 9.36.3.3 Channel Pattern 732 9.36.3.4 Channel–Floodplain Interactions 735 9.36.3.5 Bed Material and Mobility 737 9.36.3.6 Channel Units 739 9.36.3.7 Hierarchical Classifications 739 9.36.3.8 Statistical Classifications 745 9.36.4 Use and Compatibility of Channel Classifications 745 9.36.5 The Rise and Fall of Classifications: Why Are Some Channel Classifications More Used Than Others? 747 9.36.6 Future Needs and Directions 753 9.36.6.1 Standardization and Sample Size 753 9.36.6.2 Remote Sensing 754 9.36.7 Conclusion 755 Acknowledgements 756 References 756 Appendix 762 9.36.1 Introduction 9.36.2 Purpose of Classification Over the last several decades, environmental legislation and a A basic tenet in geomorphology is that ‘form implies process.’As growing awareness of historical human disturbance to rivers such, numerous geomorphic classifications have been de- worldwide (Schumm, 1977; Collins et al., 2003; Surian and veloped for landscapes (Davis, 1899), hillslopes (Varnes, 1958), Rinaldi, 2003; Nilsson et al., 2005; Chin, 2006; Walter and and rivers (Section 9.36.3). The form–process paradigm is a Merritts, 2008) have fostered unprecedented collaboration potentially powerful tool for conducting quantitative geo- among scientists, land managers, and stakeholders to better morphic investigations. -
Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity
remote sensing Article Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity Wei Wang 1,2, Jia Liu 1,*, Chuanzhe Li 1, Yuchen Liu 1 and Fuliang Yu 1 1 State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; [email protected] (W.W.); [email protected] (C.L.); [email protected] (Y.L.); yufl@iwhr.com (F.Y.) 2 College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China * Correspondence: [email protected]; Tel.: +86-150-1044-3860 Abstract: The data assimilation technique is an effective method for reducing initial condition errors in numerical weather prediction (NWP) models. This paper evaluated the potential of the weather research and forecasting (WRF) model and its three-dimensional data assimilation (3DVar) module in improving the accuracy of rainfall-runoff prediction through coupled atmospheric-hydrologic systems. The WRF model with the assimilation of radar reflectivity and conventional surface and upper-air observations provided the improved initial and boundary conditions for the hydrological process; subsequently, three atmospheric-hydrological systems with variable complexity were estab- lished by coupling WRF with a lumped, a grid-based Hebei model, and the WRF-Hydro modeling system. Four storm events with different spatial and temporal rainfall distribution from mountainous catchments of northern China were chosen as the study objects. The assimilation results showed a general improvement in the accuracy of rainfall accumulation, with low root mean square error and Citation: Wang, W.; Liu, J.; Li, C.; high correlation coefficients compared to the results without assimilation. -
Flood Hazard of Dunedin's Urban Streams
Flood hazard of Dunedin’s urban streams Review of Dunedin City District Plan: Natural Hazards Otago Regional Council Private Bag 1954, Dunedin 9054 70 Stafford Street, Dunedin 9016 Phone 03 474 0827 Fax 03 479 0015 Freephone 0800 474 082 www.orc.govt.nz © Copyright for this publication is held by the Otago Regional Council. This publication may be reproduced in whole or in part, provided the source is fully and clearly acknowledged. ISBN: 978-0-478-37680-7 Published June 2014 Prepared by: Michael Goldsmith, Manager Natural Hazards Jacob Williams, Natural Hazards Analyst Jean-Luc Payan, Investigations Engineer Hank Stocker (GeoSolve Ltd) Cover image: Lower reaches of the Water of Leith, May 1923 Flood hazard of Dunedin’s urban streams i Contents 1. Introduction ..................................................................................................................... 1 1.1 Overview ............................................................................................................... 1 1.2 Scope .................................................................................................................... 1 2. Describing the flood hazard of Dunedin’s urban streams .................................................. 4 2.1 Characteristics of flood events ............................................................................... 4 2.2 Floodplain mapping ............................................................................................... 4 2.3 Other hazards ...................................................................................................... -
Types of Flooding
Designed for safer living® Focus on Types of flooding Designed for safer living® is a program endorsed by Canada’s insurers to promote disaster-resilient homes. About the Institute for Catastrophic Loss Reduction The Institute for Catastrophic Loss Reduction (ICLR), established in 1997, is a world-class centre for multidisciplinary disaster prevention research and communication. ICLR is an independent, not-for-profit research institute founded by the insurance industry and affiliated with Western University, London, Ontario. The Institute’s mission is to reduce the loss of life and property caused by severe weather and earthquakes through the identification and support of sustained actions that improve society’s capacity to adapt to, anticipate, mitigate, withstand and recover from natural disasters. ICLR’s mandate is to confront the alarming increase in losses caused by natural disasters and to work to reduce deaths, injuries and property damage. Disaster damage has been doubling every five to seven years since the 1960s, an alarming trend. The greatest tragedy is that many disaster losses are preventable. ICLR is committed to the development and communication of disaster prevention knowledge. For the individual homeowner, this translates into the identification of natural hazards that threaten them and their home. The Institute further informs individual homeowners about steps that can be taken to better protect their family and their homes. Waiver The content of this publication is to be used as general information only. This publication does not replace advice from professionals. Contact a professional if you have questions about specific issues. Also contact your municipal government for information specific to your area. -
Severe Weather Safety Guide Flash Flooding
What causes River Flooding? Stay informed! • Persistent storms over the same area for long Listen to NOAA Weather Radio, local radio or Severe periods of time. television for the latest weather and river forecasts. • Combined rainfall and snowmelt • Ice jams Weather • Releases from man made lakes • Excessive rain from tropical systems making Safety landfall. How does the NWS issue To check out the latest river forecast information Guide and current stages on our area rivers, visit: Flood/Flash Flood Warnings? http://weather.gov/pah/ahps Flash Check out the National Weather Service Paducah website for the latest information at Flooding weather.gov/paducah Call for the latest forecast from the National Weather Service’s Weather Information Now number: Paducah, KY: 270-744-6331 Evansville, IN: 812-425-5549 National Weather Service forecasters rely on a A reference guide from your network of almost 10,000 gages to monitor the National Oceanic & Atmospheric Administration height of rivers and streams across the Nation. National Weather Service National Weather Service This gage data is only one of many different 8250 Kentucky Highway 3520 Paducah, Kentucky sources for data. Forecasters use data from the Doppler Radar, surface weather observations, West Paducah, KY 42086 snow melt/cover information and many other 270-744-6440 different data sources in order to monitor the threat for flooding. FLOODS KILL MORE PEOPLE FACT: Almost half of all flash flood Flooding PER YEAR THAN ANY OTHER fatalities occur in vehicles. WEATHER PHENOMENAN. fatalities occur in vehicles. Safety • As little as 6 inches of water may cause you to lose What are Flash Floods ? control of your vehicle. -
Quantitative Flood Forecasting on Small- and Medium-Sized Basins: a Probabilistic Approach for Operational Purposes
1432 JOURNAL OF HYDROMETEOROLOGY VOLUME 12 Quantitative Flood Forecasting on Small- and Medium-Sized Basins: A Probabilistic Approach for Operational Purposes FRANCESCO SILVESTRO AND NICOLA REBORA CIMA Research Foundation, Savona, Italy LUCA FERRARIS CIMA Research Foundation, Savona, and DIST, University of Genoa, Genoa, Italy (Manuscript received 5 November 2010, in final form 22 June 2011) ABSTRACT The forecast of rainfall-driven floods is one of the main themes of analysis in hydrometeorology and a critical issue for civil protection systems. This work describes a complete hydrometeorological forecast system for small- and medium-sized basins and has been designed for operational applications. In this case, because of the size of the target catchments and to properly account for uncertainty sources in the prediction chain, the authors apply a probabilistic framework. This approach allows for delivering a prediction of streamflow that is valuable for decision makers and that uses as input quantitative precipitation forecasts (QPF) issued by a regional center that is in charge of hydrometeorological predictions in the Liguria region of Italy. This kind of forecast is derived from different meteorological models and from the experience of meteorologists. Single-catchment and multicatchment approaches have been operationally implemented and studied. The hydrometeorological forecasting chain has been applied to a series of case studies with en- couraging results. The implemented system makes effective use of the quantitative information content of rainfall forecasts issued by expert meteorologists for flood-alert purposes. 1. Introduction that it is not possible to tackle the hydrological forecasting problem in a deterministic way (e.g., Krzysztofowicz 2001), Over the last few decades, much effort has been made and consequently they propose probabilistic approaches in the field of flood prediction. -
Classifying Rivers - Three Stages of River Development
Classifying Rivers - Three Stages of River Development River Characteristics - Sediment Transport - River Velocity - Terminology The illustrations below represent the 3 general classifications into which rivers are placed according to specific characteristics. These categories are: Youthful, Mature and Old Age. A Rejuvenated River, one with a gradient that is raised by the earth's movement, can be an old age river that returns to a Youthful State, and which repeats the cycle of stages once again. A brief overview of each stage of river development begins after the images. A list of pertinent vocabulary appears at the bottom of this document. You may wish to consult it so that you will be aware of terminology used in the descriptive text that follows. Characteristics found in the 3 Stages of River Development: L. Immoor 2006 Geoteach.com 1 Youthful River: Perhaps the most dynamic of all rivers is a Youthful River. Rafters seeking an exciting ride will surely gravitate towards a young river for their recreational thrills. Characteristically youthful rivers are found at higher elevations, in mountainous areas, where the slope of the land is steeper. Water that flows over such a landscape will flow very fast. Youthful rivers can be a tributary of a larger and older river, hundreds of miles away and, in fact, they may be close to the headwaters (the beginning) of that larger river. Upon observation of a Youthful River, here is what one might see: 1. The river flowing down a steep gradient (slope). 2. The channel is deeper than it is wide and V-shaped due to downcutting rather than lateral (side-to-side) erosion. -
New York State Canal Corporation Flood Warning and Optimization System
K19-10283720JGM New York State Canal Corporation Flood Warning and Optimization System SCOPE OF SERVICES K19-10283720JGM Contents 1 Background of the Project........................................................................................................... 3 2 Existing FWOS features ............................................................................................................... 5 2.1 Data Import Interfaces ............................................................................................................ 5 2.2 Numeric Models ...................................................................................................................... 5 2.2.1 Hydrologic Model............................................................................................................. 6 2.2.2 Hydraulic Model .............................................................................................................. 6 2.3 Data Dissemination Interfaces .................................................................................................. 6 3 Technical Landscape ................................................................................................................... 7 3.1 Software ................................................................................................................................. 7 3.1.1 Systems......................................................................................................................... 7 3.1.2 FWOS Software .............................................................................................................. -
Drainage Patterns
Drainage Patterns Over time, a stream system achieves a particular drainage pattern to its network of stream channels and tributaries as determined by local geologic factors. Drainage patterns or nets are classified on the basis of their form and texture. Their shape or pattern develops in response to the local topography and Figure 1 Aerial photo illustrating subsurface geology. Drainage channels develop where surface dendritic pattern in Gila County, AZ. runoff is enhanced and earth materials provide the least Courtesy USGS resistance to erosion. The texture is governed by soil infiltration, and the volume of water available in a given period of time to enter the surface. If the soil has only a moderate infiltration capacity and a small amount of precipitation strikes the surface over a given period of time, the water will likely soak in rather than evaporate away. If a large amount of water strikes the surface then more water will evaporate, soaks into the surface, or ponds on level ground. On sloping surfaces this excess water will runoff. Fewer drainage channels will develop where the surface is flat and the soil infiltration is high because the water will soak into the surface. The fewer number of channels, the coarser will be the drainage pattern. Dendritic drainage pattern A dendritic drainage pattern is the most common form and looks like the branching pattern of tree roots. It develops in regions underlain by homogeneous material. That is, the subsurface geology has a similar resistance to weathering so there is no apparent control over the direction the tributaries take. -
Stream Visual Assessment Manual
U.S. Fish & Wildlife Service Stream Visual Assessment Manual Cane River, credit USFWS/Gary Peeples U.S. Fish & Wildlife Service Conasauga River, credit USFWS Table of Contents Introduction ..............................................................................................................................1 What is a Stream? .............................................................................................................1 What Makes a Stream “Healthy”? .................................................................................1 Pollution Types and How Pollutants are Harmful ........................................................1 What is a “Reach”? ...........................................................................................................1 Using This Protocol..................................................................................................................2 Reach Identification ..........................................................................................................2 Context for Use of this Guide .................................................................................................2 Assessment ........................................................................................................................3 Scoring Details ..................................................................................................................4 Channel Conditions ...........................................................................................................4 -
A Brief Review of Flood Forecasting Techniques and Their Applications
International Journal of River Basin Management ISSN: 1571-5124 (Print) 1814-2060 (Online) Journal homepage: http://www.tandfonline.com/loi/trbm20 A Brief review of flood forecasting techniques and their applications Sharad Kumar Jain, Pankaj Mani, Sanjay K. Jain, Pavithra Prakash, Vijay P. Singh, Desiree Tullos, Sanjay Kumar, S. P. Agarwal & A. P. Dimri To cite this article: Sharad Kumar Jain, Pankaj Mani, Sanjay K. Jain, Pavithra Prakash, Vijay P. Singh, Desiree Tullos, Sanjay Kumar, S. P. Agarwal & A. P. Dimri (2018): A Brief review of flood forecasting techniques and their applications, International Journal of River Basin Management, DOI: 10.1080/15715124.2017.1411920 To link to this article: https://doi.org/10.1080/15715124.2017.1411920 Accepted author version posted online: 07 Dec 2017. Published online: 22 Jan 2018. Submit your article to this journal Article views: 21 View related articles View Crossmark data Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=trbm20 INTL. J. RIVER BASIN MANAGEMENT, 2018 https://doi.org/10.1080/15715124.2017.1411920 A Brief review of flood forecasting techniques and their applications Sharad Kumar Jaina, Pankaj Manib, Sanjay K. Jaina, Pavithra Prakashc, Vijay P. Singhd, Desiree Tullose, Sanjay Kumara, S. P. Agarwalf and A. P. Dimrig aNational Institute of Hydrology, Roorkee, India; bNational Institute of Hydrology, Regional Center, Patna, India; cPostdoctoral Researcher, University of California, Davis, USA; dTexas A and M University, College Station, Texas, USA; eOregon State University, Corvallis, OR, USA; fIndian Institute of Remote Sensing, Dehradun, India; gJawaharlal Nehru University, New Delhi, India ABSTRACT ARTICLE HISTORY Flood forecasting (FF) is one the most challenging and difficult problems in hydrology.