Streamflow Availability Ratings Identify Surface Water Sources For
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Analysis of Streamflow Variability and Trends in the Meta River, Colombia
water Article Analysis of Streamflow Variability and Trends in the Meta River, Colombia Marco Arrieta-Castro 1, Adriana Donado-Rodríguez 1, Guillermo J. Acuña 2,3,* , Fausto A. Canales 1,* , Ramesh S. V. Teegavarapu 4 and Bartosz Ka´zmierczak 5 1 Department of Civil and Environmental, Universidad de la Costa, Calle 58 #55-66, Barranquilla 080002, Atlántico, Colombia; [email protected] (M.A.-C.); [email protected] (A.D.-R.) 2 Department of Civil and Environmental Engineering, Instituto de Estudios Hidráulicos y Ambientales, Universidad del Norte, Km.5 Vía Puerto Colombia, Barranquilla 081007, Colombia 3 Programa de Ingeniería Ambiental, Universidad Sergio Arboleda, Escuela de Ciencias Exactas e Ingeniería (ECEI), Calle 74 #14-14, Bogotá D.C. 110221, Colombia 4 Department of Civil, Environmental and Geomatics Engineering, Florida Atlantic University, Boca Raton, FL 33431, USA; [email protected] 5 Department of Water Supply and Sewerage Systems, Faculty of Environmental Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland; [email protected] * Correspondence: [email protected] (F.A.C.); [email protected] (G.J.A.); Tel.: +57-5-3362252 (F.A.C.) Received: 29 March 2020; Accepted: 13 May 2020; Published: 20 May 2020 Abstract: The aim of this research is the detection and analysis of existing trends in the Meta River, Colombia, based on the streamflow records from seven gauging stations in its main course, for the period between June 1983 to July 2019. The Meta River is one of the principal branches of the Orinoco River, and it has a high environmental and economic value for this South American country. -
Stream Discharge (Streamflow)
The Importance of Streamflow in California’s Southern Sierra Nevada Mountains Kings River Experimental Watersheds Because 55 to 65 percent of California’s developed water comes from small streams in the Sierra Nevada, it is important to under- stand the role the snowpack has in the distribution and quantity of stream discharge (streamflow). In the southern Sierra, more than 80 percent of precipitation falls December through April. However, owing to the delay in snowmelt, there is a lag in runoff until the spring. At higher elevation sites, the spring melt does not peak until May or even June. This makes mountain water available to California during the summer months. The Kings River Experi- mental Watersheds (KREW) sites demonstrate that precipitation in the form of snow generates greater yearly discharge in a given watershed. The difference in discharge between the KREW Provi- dence site and Bull site is as much as 20 percent per year. C. Hunsaker Research Area Figure 1—KREW’s double flume system. The large flume KREW is a watershed-level, integrated ecosystem project for (background) accurately captures high flows, and the small flume headwater streams in the Sierra Nevada. Eight watersheds at two is successful at measuring lower base flows. study sites are fully instrumented to monitor ecosystem changes. Stream discharge data, just one component of the project, have been collected since 2002 from the Providence site and since 2003 from the Bull site. What is Stream Discharge? Discharge is the amount of water leaving each watershed within the stream channel. It is represented as a rate of flow such as cubic feet per second (cfs), gallons per minute (gpm), or acre-feet per year. -
From the River to You: USGS Real-Time Streamflow Information …From the National Streamflow Information Program
From the River to You: USGS Real-Time Streamflow Information …from the National Streamflow Information Program This Fact Sheet is one in a series that highlights information or recent research findings from the USGS National Streamflow Information Program (NSIP). The investigations and scientific results reported in this series require a nationally consistent streamgaging network with stable long-term monitoring sites and a rigorous program of data, quality assurance, management, archiving, and synthesis. NSIP produces multipurpose, unbiased surface-water information that is readily accessible to all. Introduction Collecting and Transmitting data are stored in a data logger in Streamflow Information the gagehouse. As part of the National Stream- On a preset schedule, typically flow Information Program, the U.S. The streamflow information every 1 to 4 hours, the streamgage Geological Survey (USGS) operates collected at most streamgages transmits all the stage information more than 7,400 streamgages nation- is stream stage (also called gage recorded since the last transmission to wide to provide streamflow informa- height). This is the height of the a Geostationary Operational Envi- tion for a wide variety of uses. These water surface above a reference level ronmental Satellite (GOES). Many uses include prediction of floods, or datum. Stream stage is measured streamgages have predetermined management and allocation of water by a variety of methods including stage thresholds. When these thresh- resources, design and operation of floats, pressure transducers, and olds are exceeded, the time between engineering structures, scientific acoustic or optical sensors (fig. 1). transmissions to the satellite will research, operation of locks and Stage data are measured at the decrease from 1 to 4 hours to every dams, and for recreational safety and time interval necessary to monitor the 15 minutes to provide more timely enjoyment. -
Install and Maintain Stream Gauges
Proposition 68 Projects 2019 Update California Department of Water Resources Sustainable Groundwater Management Program INSTALL AND MAINTAIN STREAM GAUGES This project focuses on inventorying, installation, and maintenance of stream gauges in high- and medium-priority basins. Building on the knowledge and successful track record of DWR’s Regional and Statewide Integrated Water Management technical assistance programs, this project supports and is aligned with the Governor’s Water Resilience Portfolio (Executive Order N-10-19), the Open and Transparent Data Act (AB 1755), and Sen. Bill Dodd’s Stream Gauges Bill (SB19). What is Proposition 68? will provide fast and reliable data. Additionally, this project supports GSP development, implementation, The California Drought, Water, Parks, Climate, Coastal and evaluation, as wells as groundwater recharge Protection and Outdoor for all Fund (Senate Bill 5, projects. This new surface water data provides Proposition 68) authorized $4 billion in general multiple benefits to programs within a variety of local, obligation bonds for state and local parks, state, and federal agencies including State Water environmental protection and restoration projects, Resources Control Board and the Department of Fish water infrastructure projects, and flood protection and Wildlife. projects. The Install and Maintain Stream Gauge project utilizes $4.95 million on data, tools, and What is New in 2019? analysis efforts for drought and groundwater Five stream gauges were recently installed throughout investments to achieve regional sustainability in the state at Bear River, Ash Creek, Owens Creek, support of the Sustainable Groundwater Management Tuolumne River, and San Luis Ray River. Act (SGMA) over a period of five years. How Does This Project Support SGMA? What are the Next Steps? In the next two years, DWR plans to install SGMA requires Groundwater Sustainability Agencies approximately 24 additional stream gauges in high- (GSAs) to monitor and assess stream depletion, water and medium-priority basins. -
Distributed Hydrologic Modeling for Streamflow Prediction at Ungauged Basins
Utah State University DigitalCommons@USU All Graduate Theses and Dissertations Graduate Studies 5-2008 Distributed Hydrologic Modeling For Streamflow Prediction At Ungauged Basins Christina Bandaragoda Utah State University Follow this and additional works at: https://digitalcommons.usu.edu/etd Part of the Civil and Environmental Engineering Commons Recommended Citation Bandaragoda, Christina, "Distributed Hydrologic Modeling For Streamflow Prediction At Ungauged Basins" (2008). All Graduate Theses and Dissertations. 62. https://digitalcommons.usu.edu/etd/62 This Dissertation is brought to you for free and open access by the Graduate Studies at DigitalCommons@USU. It has been accepted for inclusion in All Graduate Theses and Dissertations by an authorized administrator of DigitalCommons@USU. For more information, please contact [email protected]. DISTRIBUTED HYDROLOGIC MODELING FOR STREAMFLOW PREDICTION AT UNGAUGED BASINS by Christina Bandaragoda A dissertation submitted in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in Civil and Environmental Engineering UTAH STATE UNIVERSITY Logan, UT 2007 ii ABSTRACT Distributed Hydrologic Modeling for Prediction of Streamflow at Ungauged Basins by Christina Bandaragoda, Doctor of Philosophy Utah State University, 2008 Major Professor: Dr. David G. Tarboton Department: Civil and Environmental Engineering Hydrologic modeling and streamflow prediction of ungauged basins is an unsolved scientific problem as well as a policy-relevant science theme emerging as a major -
Introduction and Characteristics of Flow
Introduction and Characteristics of Flow By James W. LaBaugh and Donald O. Rosenberry Chapter 1 of Field Techniques for Estimating Water Fluxes Between Surface Water and Ground Water Edited by Donald O. Rosenberry and James W. LaBaugh Techniques and Methods Chapter 4–D2 U.S. Department of the Interior U.S. Geological Survey Contents Introduction.....................................................................................................................................................5 Purpose and Scope .......................................................................................................................................6 Characteristics of Water Exchange Between Surface Water and Ground Water .............................7 Characteristics of Near-Shore Sediments .......................................................................................8 Temporal and Spatial Variability of Flow .........................................................................................10 Defining the Purpose for Measuring the Exchange of Water Between Surface Water and Ground Water ..........................................................................................................................12 Determining Locations of Water Exchange ....................................................................................12 Measuring Direction of Flow ............................................................................................................15 Measuring the Quantity of Flow .......................................................................................................15 -
Chapter 5 Streamflow Data
Part 630 Hydrology National Engineering Handbook Chapter 5 Streamflow Data (210–VI–NEH, Amend. 76, November 2015) Chapter 5 Streamflow Data Part 630 National Engineering Handbook Issued November 2015 The U.S. Department of Agriculture (USDA) prohibits discrimination against its customers, em- ployees, and applicants for employment on the bases of race, color, national origin, age, disabil- ity, sex, gender identity, religion, reprisal, and where applicable, political beliefs, marital status, familial or parental status, sexual orientation, or all or part of an individual’s income is derived from any public assistance program, or protected genetic information in employment or in any program or activity conducted or funded by the Department. (Not all prohibited bases will apply to all programs and/or employment activities.) If you wish to file a Civil Rights program complaint of discrimination, complete the USDA Pro- gram Discrimination Complaint Form (PDF), found online at http://www.ascr.usda.gov/com- plaint_filing_cust.html, or at any USDA office, or call (866) 632-9992 to request the form. You may also write a letter containing all of the information requested in the form. Send your completed complaint form or letter to us by mail at U.S. Department of Agriculture, Director, Office of Adju- dication, 1400 Independence Avenue, S.W., Washington, D.C. 20250-9410, by fax (202) 690-7442 or email at [email protected] Individuals who are deaf, hard of hearing or have speech disabilities and you wish to file either an EEO or program complaint please contact USDA through the Federal Relay Service at (800) 877- 8339 or (800) 845-6136 (in Spanish). -
U.S. Geological Survey Streamflow Data in Michigan Using the USGS NWIS Database MDOT Bridge Scour Conference October 5, 2017
U.S. Geological Survey Streamflow data in Michigan Using the USGS NWIS database MDOT Bridge Scour Conference October 5, 2017 Tom Weaver Eastern Hydrologic Data Chief Upper Midwest Water Science Center In Michigan, USGS operates gage sites to monitor hydrologic conditions including streamflow, surface water and groundwater levels, and water quality. In October 2017, the network includes: 166 real time continuous-record streamgages 10 crest-stage gages (CSG), including 5 real time 10 continuous-record lake-level gages 11 miscellaneous streamflow sites 32 continuous-record water-quality sites 24 groundwater wells, including 6 USGS real time Climate Response Network sites How do we monitor surface water? Surface-water monitoring at a stream site Gage height (stage) and streamflow are measured at gaging stations through a range of conditions At most sites a stage-discharge relation is constructed Outside staff gage indicating water level In 2017, most gaging stations are being constructed with non- submersible pressure transducers and GOES satellite transmitters. This is station number 04032000 Presque Isle River near Tula: https://waterdata.usgs.gov/mi/nwis/uv/ ?site_no=04032000&PARAmeter_cd= 00065,00060 Accessing the National Water Information System (NWIS) is easy https://mi.water.usgs.gov/ It’s easy to expand the interactive map by clicking on it twice. At that point you can easily hover the cursor over the gage of interest. Optionally, you can actually just go over to the Statewide Streamflow Current Conditions Table, or the other tables and click them instead. We will visit that option after a few slides. Clicking on the Daily Streamflow Conditions Map again brings you an interactive view: Each colored dot on the map indicates the location of, and streamflow conditions at, a streamgage. -
Beyond Binary Baseflow Separation: a Delayed-Flow Index for Multiple Streamflow Contributions
Hydrol. Earth Syst. Sci., 24, 849–867, 2020 https://doi.org/10.5194/hess-24-849-2020 © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. Beyond binary baseflow separation: a delayed-flow index for multiple streamflow contributions Michael Stoelzle1,*, Tobias Schuetz2, Markus Weiler1, Kerstin Stahl1, and Lena M. Tallaksen3 1Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany 2Department of Hydrology, Faculty VI Regional and Environmental Sciences, University of Trier, Trier, Germany 3Department of Geosciences, University of Oslo, Oslo, Norway *Invited contribution by Michael Stoelzle, recipient of the EGU Outstanding Student Poster Awards 2015. Correspondence: Michael Stoelzle ([email protected]) Received: 14 May 2019 – Discussion started: 28 May 2019 Revised: 18 November 2019 – Accepted: 20 January 2020 – Published: 25 February 2020 Abstract. Understanding components of the total streamflow the primary contribution, whereas below 800 m groundwa- is important to assess the ecological functioning of rivers. Bi- ter resources are most likely the major streamflow contri- nary or two-component separation of streamflow into a quick butions. Our analysis also indicates that dynamic storage in and a slow (often referred to as baseflow) component are of- high alpine catchments might be large and is overall not ten based on arbitrary choices of separation parameters and smaller than in lowland catchments. We conclude that the also merge different delayed components into one baseflow DFI can be used to assess the range of sources forming catch- component and one baseflow index (BFI). As streamflow ments’ storages and to judge the long-term sustainability of generation during dry weather often results from drainage streamflow. -
Streamflow Forecasting Without Models
1 Streamflow Forecasting without Models 2 Witold F. Krajewski, Ganesh R. Ghimire, and Felipe Quintero 3 Iowa Flood Center and IIHR-Hydroscience & Engineering, The University of Iowa, Iowa City, 4 Iowa 52242. 5 *Corresponding author: Witold F. Krajewski, [email protected] 6 7 This work has been submitted to the Weather and Forecasting. Copyright in this work may be 8 transferred without further notice. Preprint submitted to Weather and Forecasting 9 Abstract 10 The authors explore simple concepts of persistence in streamflow forecasting based on the 11 real-time streamflow observations from the years 2002 to 2018 at 140 U.S. Geological Survey 12 (USGS) streamflow gauges in Iowa. The spatial scale of the basins ranges from about 7 km2 to 13 37,000 km2. Motivated by the need for evaluating the skill of real-time streamflow forecasting 14 systems, the authors perform quantitative skill assessment of different persistence schemes 15 across spatial scales and lead-times. They show that skill in temporal persistence forecasting has 16 a strong dependence on basin size, and a weaker, but non-negligible, dependence on geometric 17 properties of the river networks in the basins. Building on results from this temporal persistence, 18 they extend the streamflow persistence forecasting to space through flow-connected river 19 networks. The approach simply assumes that streamflow at a station in space will persist to 20 another station which is flow-connected; these are referred to as pure spatial persistence 21 forecasts (PSPF). The authors show that skill of PSPF of streamflow is strongly dependent on 22 the monitored vs. -
Who Uses Stream Gauge Data?
Who Uses Stream Gauge Data? By Janet Thigpen, CFM Flood Mitigation Specialist Southern Tier Central Regional Planning & Development Board Presentation at “Stream Gauges ~ Follow the Flow” Congressional Briefings on May 2, 2014 (hosted by the US Geological Survey) USGS Streamgauge Network in New York State The current US Geological Survey (USGS) stream gauge sites in New York State are shown in yellow. This network changes over time as new gauges are added and others are discontinued. Many of the gauges that have been discontinued because of funding difficulties are sites that are important because they have a long period of record. The red sites on this map represent gauges that have 30 or more years of record, but are no longer active. When these gauges were discontinued, the value of that long-term record was lost forever. Prepared by Southern Tier Central Regional Planning and Development Board Page 1 I am going to share some examples of how people in my region use stream gauge information, but first let’s look at some data. This shows 45 years of annual high flows for the Vltava River in Prague, Czechoslovakia (courtesy of Bo Juza, DHI). We would generally consider this to be a pretty good period of record for understanding and analyzing the high flows. If we have 85 years of data, that’s even better. We see that there were some floods during that time. 135 years is more data than we have for any site in the United States. The longest period of record for any gauge in New York State is 111 years. -
What Is Flow Alteration?
Flow Alteration What is Flow Alteration? Flow alteration is any change in the natural flow regime of a river or stream or water level of a lake or reservoir induced by human activities. As illustrated below, five components of the natural flow regime are now recognized as requiring protection to maintain healthy river and lake ecosystems (Figure 1). They are: Magnitude – the amount of water flowing in the stream at any given time; Frequency – how often a given flow occurs over time; Duration – the length of time that a given flow occurs; Timing – how predictable or regular a given flow can be expected to occur; Rate of change – how quickly flows rise or fall. Figure 1: Hydrographs of a river (A) and lake (B) that illustrate the general seasonal pattern and the variability seen in Vermont rivers and lakes, with increased streamflow and water level in the spring followed by receding levels in the summer and an increase in streamflow and water level in the fall. A natural flow regime refers to a range that each of these five components can be expected to fall within due to the variability of precipitation and other natural hydrologic processes. Significant flow alteration can push these components of flow outside the expected range, leading to environmental degradation. Climate change is another potential driver of shifting flow regimes, and must also be considered in a well- informed approach to addressing flow alteration. These same five components influence lake water level and changes from the natural condition in one or more of these components affect the health of lake ecosystems.