Hydrograph Separation Methods Used to Estimate Groundwater Discharge for Assistance in Calibration of the Western Water Use Model
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Seasonal Flooding Affects Habitat and Landscape Dynamics of a Gravel
Seasonal flooding affects habitat and landscape dynamics of a gravel-bed river floodplain Katelyn P. Driscoll1,2,5 and F. Richard Hauer1,3,4,6 1Systems Ecology Graduate Program, University of Montana, Missoula, Montana 59812 USA 2Rocky Mountain Research Station, Albuquerque, New Mexico 87102 USA 3Flathead Lake Biological Station, University of Montana, Polson, Montana 59806 USA 4Montana Institute on Ecosystems, University of Montana, Missoula, Montana 59812 USA Abstract: Floodplains are comprised of aquatic and terrestrial habitats that are reshaped frequently by hydrologic processes that operate at multiple spatial and temporal scales. It is well established that hydrologic and geomorphic dynamics are the primary drivers of habitat change in river floodplains over extended time periods. However, the effect of fluctuating discharge on floodplain habitat structure during seasonal flooding is less well understood. We collected ultra-high resolution digital multispectral imagery of a gravel-bed river floodplain in western Montana on 6 dates during a typical seasonal flood pulse and used it to quantify changes in habitat abundance and diversity as- sociated with annual flooding. We observed significant changes in areal abundance of many habitat types, such as riffles, runs, shallow shorelines, and overbank flow. However, the relative abundance of some habitats, such as back- waters, springbrooks, pools, and ponds, changed very little. We also examined habitat transition patterns through- out the flood pulse. Few habitat transitions occurred in the main channel, which was dominated by riffle and run habitat. In contrast, in the near-channel, scoured habitats of the floodplain were dominated by cobble bars at low flows but transitioned to isolated flood channels at moderate discharge. -
Modifying Wepp to Improve Streamflow Simulation in a Pacific Northwest Watershed
MODIFYING WEPP TO IMPROVE STREAMFLOW SIMULATION IN A PACIFIC NORTHWEST WATERSHED A. Srivastava, M. Dobre, J. Q. Wu, W. J. Elliot, E. A. Bruner, S. Dun, E. S. Brooks, I. S. Miller ABSTRACT. The assessment of water yield from hillslopes into streams is critical in managing water supply and aquatic habitat. Streamflow is typically composed of surface runoff, subsurface lateral flow, and groundwater baseflow; baseflow sustains the stream during the dry season. The Water Erosion Prediction Project (WEPP) model simulates surface runoff, subsurface lateral flow, soil water, and deep percolation. However, to adequately simulate hydrologic conditions with significant quantities of groundwater flow into streams, a baseflow component for WEPP is needed. The objectives of this study were (1) to simulate streamflow in the Priest River Experimental Forest in the U.S. Pacific Northwest using the WEPP model and a baseflow routine, and (2) to compare the performance of the WEPP model with and without including the baseflow using observed streamflow data. The baseflow was determined using a linear reservoir model. The WEPP- simulated and observed streamflows were in reasonable agreement when baseflow was considered, with an overall Nash- Sutcliffe efficiency (NSE) of 0.67 and deviation of runoff volume (Dv) of 7%. In contrast, the WEPP simulations without including baseflow resulted in an overall NSE of 0.57 and Dv of 47%. On average, the simulated baseflow accounted for 43% of the streamflow and 12% of precipitation annually. Integration of WEPP with a baseflow routine improved the model’s applicability to watersheds where groundwater contributes to streamflow. Keywords. Baseflow, Deep seepage, Forest watershed, Hydrologic modeling, Subsurface lateral flow, Surface runoff, WEPP. -
Class 14: Basic Hydrograph Analysis Class 14: Hydrograph Analysis
Engineering Hydrology Class 14: Basic Hydrograph Analysis Class 14: Hydrograph Analysis Learning Topics and Goals: Objectives 1. Explain how hydrographs relate to hyetographs Hydrograph 2. Create DRO (direct runoff) hydrographs by separating baseflow Description 3. Relate runoff volume to watershed area and create UH (next time) Unit Hydrographs Separating Baseflow DRO Hydrographs Ocean Class 14: Hydrograph Analysis Learning Gross rainfall = depression storage + Objectives evaporation + infiltration Hydrograph + surface runoff Description Unit Hydrographs Separating Baseflow Rainfall excess = (gross rainfall – abstractions) DRO = Direct Runoff = DRO Hydrographs = net rainfall with the primary abstraction being infiltration (i.e., assuming depression storage is small and evaporation can be neglected) Class 14: Hydrograph Hydrograph Defined Analysis Learning • a hydrograph is a plot of the Objectives variation of discharge with Hydrograph Description respect to time (it can also be Unit the variation of stage or other Hydrographs water property with respect to Separating time) Baseflow DRO • determining the amount of Hydrographs infiltration versus the amount of runoff is critical for hydrograph interpretation Class 14: Hydrograph Meteorological Factors Analysis Learning • Rainfall intensity and pattern Objectives • Areal distribution of rainfall Hydrograph • Size and duration of the storm event Description Unit Physiographic Factors Hydrographs Separating • Size and shape of the drainage area Baseflow • Slope of the land surface and channel -
River Dynamics 101 - Fact Sheet River Management Program Vermont Agency of Natural Resources
River Dynamics 101 - Fact Sheet River Management Program Vermont Agency of Natural Resources Overview In the discussion of river, or fluvial systems, and the strategies that may be used in the management of fluvial systems, it is important to have a basic understanding of the fundamental principals of how river systems work. This fact sheet will illustrate how sediment moves in the river, and the general response of the fluvial system when changes are imposed on or occur in the watershed, river channel, and the sediment supply. The Working River The complex river network that is an integral component of Vermont’s landscape is created as water flows from higher to lower elevations. There is an inherent supply of potential energy in the river systems created by the change in elevation between the beginning and ending points of the river or within any discrete stream reach. This potential energy is expressed in a variety of ways as the river moves through and shapes the landscape, developing a complex fluvial network, with a variety of channel and valley forms and associated aquatic and riparian habitats. Excess energy is dissipated in many ways: contact with vegetation along the banks, in turbulence at steps and riffles in the river profiles, in erosion at meander bends, in irregularities, or roughness of the channel bed and banks, and in sediment, ice and debris transport (Kondolf, 2002). Sediment Production, Transport, and Storage in the Working River Sediment production is influenced by many factors, including soil type, vegetation type and coverage, land use, climate, and weathering/erosion rates. -
Real-Time Stream Flow Gages in Montana
REAL-TIME STREAM FLOW GAGES IN MONTANA Montana is home to over 264 real-time stream lows and improve water management practices. It gages located throughout the state. These gages can drive the understanding for other sciences and and their networks assist in delivering water data to helps inform citizens on how we can prepare for scientists and the public. While Montana’s demand changes in our water supply. It is imperative to for water continues to grow, water availability maintain as many gages as possible to preserve varies from year-to-year and can change these historical records for current and future dramatically in any given year. Managing supply and generations. demand challenges is an ongoing feature of life. REAL-TIME GAGES Accurate, near real-time, publicly accessible information on stream flows assists both day to day A real-time stream gage is used to report stream decision making and long-term planning, as well as flow (discharge) in cubic feet per second. These emergency planning and notification. This gages measure the stage (height) of the river in feet, information is generated in Montana by multiple and water temperature along with other networks of real-time stream gages operated by the environmental data. U.S. Geological Survey (USGS), the Department of Natural Resources and Conservation (DNRC), and some tribes. Within each network, the operation and maintenance of gages are financially supported by different sources including federal, state, tribal, local, and private funds. Some of the gages are funded by multiple agencies and organizations. The recorded data are essential to make informed water management decisions across the state. -
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). -
Biogeochemical and Metabolic Responses to the Flood Pulse in a Semi-Arid Floodplain
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by DigitalCommons@USU 1 Running Head: Semi-arid floodplain response to flood pulse 2 3 4 5 6 Biogeochemical and Metabolic Responses 7 to the Flood Pulse in a Semi-Arid Floodplain 8 9 10 11 with 7 Figures and 3 Tables 12 13 14 15 H. M. Valett1, M.A. Baker2, J.A. Morrice3, C.S. Crawford, 16 M.C. Molles, Jr., C.N. Dahm, D.L. Moyer4, J.R. Thibault, and Lisa M. Ellis 17 18 19 20 21 22 Department of Biology 23 University of New Mexico 24 Albuquerque, New Mexico 87131 USA 25 26 27 28 29 30 31 present addresses: 32 33 1Department of Biology 2Department of Biology 3U.S. EPA 34 Virginia Tech Utah State University Mid-Continent Ecology Division 35 Blacksburg, Virginia 24061 USA Logan, Utah 84322 USA Duluth, Minnesota 55804 USA 36 540-231-2065, 540-231-9307 fax 37 [email protected] 38 4Water Resources Division 39 United States Geological Survey 40 Richmond, Virginia 23228 USA 41 1 1 Abstract: Flood pulse inundation of riparian forests alters rates of nutrient retention and 2 organic matter processing in the aquatic ecosystems formed in the forest interior. Along the 3 Middle Rio Grande (New Mexico, USA), impoundment and levee construction have created 4 riparian forests that differ in their inter-flood intervals (IFIs) because some floodplains are 5 still regularly inundated by the flood pulse (i.e., connected), while other floodplains remain 6 isolated from flooding (i.e., disconnected). -
Estimation of the Base Flow Recession Constant Under Human Interference Brian F
WATER RESOURCES RESEARCH, VOL. 49, 7366–7379, doi:10.1002/wrcr.20532, 2013 Estimation of the base flow recession constant under human interference Brian F. Thomas,1 Richard M. Vogel,2 Charles N. Kroll,3 and James S. Famiglietti1,4,5 Received 28 January 2013; revised 27 August 2013; accepted 13 September 2013; published 15 November 2013. [1] The base flow recession constant, Kb, is used to characterize the interaction of groundwater and surface water systems. Estimation of Kb is critical in many studies including rainfall-runoff modeling, estimation of low flow statistics at ungaged locations, and base flow separation methods. The performance of several estimators of Kb are compared, including several new approaches which account for the impact of human withdrawals. A traditional semilog estimation approach adapted to incorporate the influence of human withdrawals was preferred over other derivative-based estimators. Human withdrawals are shown to have a significant impact on the estimation of base flow recessions, even when withdrawals are relatively small. Regional regression models are developed to relate seasonal estimates of Kb to physical, climatic, and anthropogenic characteristics of stream-aquifer systems. Among the factors considered for explaining the behavior of Kb, both drainage density and human withdrawals have significant and similar explanatory power. We document the importance of incorporating human withdrawals into models of the base flow recession response of a watershed and the systemic downward bias associated with estimates of Kb obtained without consideration of human withdrawals. Citation: Thomas, B. F., R. M. Vogel, C. N. Kroll, and J. S. Famiglietti (2013), Estimation of the base flow recession constant under human interference, Water Resour. -
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. -
Geothermal Solute Flux Monitoring Using Electrical Conductivity in Major Rivers of Yellowstone National Park by R
Geothermal solute flux monitoring using electrical conductivity in major rivers of Yellowstone National Park By R. Blaine McCleskey, Dan Mahoney, Jacob B. Lowenstern, Henry Heasler Yellowstone National Park Yellowstone National Park is well-known for its numerous geysers, hot springs, mud pots, and steam vents Yellowstone hosts close to 4 million visits each year The Yellowstone Supervolcano is located in YNP Monitoring the Geothermal System: 1. Management tool 2. Hazard assessment 3. Long-term changes Monitoring Geothermal Systems YNP – difficult to continuously monitor 10,000 thermal features YNP area = 9,000 km2 long cold winters Thermal output from Yellowstone can be estimated by monitoring the chloride flux downstream of thermal sources in major rivers draining the park River Chloride Flux The chloride flux (chloride concentration multiplied by discharge) in the major rivers has been used as a surrogate for estimating the heat flow in geothermal systems (Ellis and Wilson, 1955; Fournier, 1989) “Integrated flux” Convective heat discharge: 5300 to 6100 MW Monitoring changes over time Chloride concentrations in most YNP geothermal waters are elevated (100 - 900 mg/L Cl) Most of the water discharged from YNP geothermal features eventually enters a major river Madison R., Yellowstone R., Snake R., Falls River Firehole R., Gibbon R., Gardner R. Background Cl concentrations in rivers low < 1 mg/L Dilute Stream water -snowmelt -non-thermal baseflow -low EC (40 - 200 μS/cm) -Cl < 1 mg/L Geothermal Water -high EC (>~1000 μS/cm) -high Cl, SiO2, Na, B, As,… -Most solutes behave conservatively Mixture of dilute stream water with geothermal water Historical Cl Flux Monitoring • The U.S. -
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. -
Stormwater Phase II Rule: Illicit Discharge Detection And
United States Office of Water EPA 833-F-00-007 Environmental Protection (4203) January 2000 (revised December 2005) Agency Fact Sheet 2.5 Stormwater Phase II Final Rule Illicit Discharge Detection and Elimination Minimum Control Measure Stormwater Phase II his fact sheet profiles the Illicit Discharge Detection and Elimination minimum control Final Rule Tmeasure, one of six measures the operator of a Phase II regulated small municipal separate Fact Sheet Series storm sewer system (MS4) is required to include in its stormwater management program to meet the conditions of its National Pollutant Discharge Elimination System (NPDES) permit. This fact sheet outlines the Phase II Final Rule requirements and offers some general guidance Overview on how to satisfy them. It is important to keep in mind that the small MS4 operator has a great 1.0 – Stormwater Phase II Final deal of flexibility in choosing exactly how to satisfy the minimum control measure Rule: An Overview requirements. Small MS4 Program What Is An “Illicit Discharge”? 2.0 – Small MS4 Stormwater Program Overview ederal regulations define an illicit discharge Table 1 2.1 – Who’s Covered? Designation as “...any discharge to an MS4 that is not and Waivers of Regulated Small F MS4s composed entirely of stormwater...” with some Sources of exceptions. These exceptions include discharges Illicit Discharges 2.2 – Urbanized Areas: Definition and Description from NPDES-permitted industrial sources and discharges from fire-fighting activities. Illicit Sanitary wastewater discharges (see Table 1) are considered “illicit” Minimum Control Measures Effluent from septic tanks because MS4s are not designed to accept, process, 2.3 – Public Education and or discharge such non-stormwater wastes.