Links Among Drainage Density, Frequency and Flooding in Nanoi River Basin, Assam
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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). -
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. -
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. -
Hydrological Measurements
Water Quality Monitoring - A Practical Guide to the Design and Implementation of Freshwater Quality Studies and Monitoring Programmes Edited by Jamie Bartram and Richard Ballance Published on behalf of United Nations Environment Programme and the World Health Organization © 1996 UNEP/WHO ISBN 0 419 22320 7 (Hbk) 0 419 21730 4 (Pbk) Chapter 12 - HYDROLOGICAL MEASUREMENTS This chapter was prepared by E. Kuusisto. Hydrological measurements are essential for the interpretation of water quality data and for water resource management. Variations in hydrological conditions have important effects on water quality. In rivers, such factors as the discharge (volume of water passing through a cross-section of the river in a unit of time), the velocity of flow, turbulence and depth will influence water quality. For example, the water in a stream that is in flood and experiencing extreme turbulence is likely to be of poorer quality than when the stream is flowing under quiescent conditions. This is clearly illustrated by the example of the hysteresis effect in river suspended sediments during storm events (see Figure 13.2). Discharge estimates are also essential when calculating pollutant fluxes, such as where rivers cross international boundaries or enter the sea. In lakes, the residence time (see section 2.1.1), depth and stratification are the main factors influencing water quality. A deep lake with a long residence time and a stratified water column is more likely to have anoxic conditions at the bottom than will a small lake with a short residence time and an unstratified water column. It is important that personnel engaged in hydrological or water quality measurements are familiar, in general terms, with the principles and techniques employed by each other. -
“Major World Deltas: a Perspective from Space
“MAJOR WORLD DELTAS: A PERSPECTIVE FROM SPACE” James M. Coleman Oscar K. Huh Coastal Studies Institute Louisiana State University Baton Rouge, LA TABLE OF CONTENTS Page INTRODUCTION……………………………………………………………………4 Major River Systems and their Subsystem Components……………………..4 Drainage Basin………………………………………………………..7 Alluvial Valley………………………………………………………15 Receiving Basin……………………………………………………..15 Delta Plain…………………………………………………………...22 Deltaic Process-Form Variability: A Brief Summary……………………….29 The Drainage Basin and The Discharge Regime…………………....29 Nearshore Marine Energy Climate And Discharge Effectiveness…..29 River-Mouth Process-Form Variability……………………………..36 DELTA DESCRIPTIONS…………………………………………………………..37 Amu Darya River System………………………………………………...…45 Baram River System………………………………………………………...49 Burdekin River System……………………………………………………...53 Chao Phraya River System……………………………………….…………57 Colville River System………………………………………………….……62 Danube River System…………………………………………………….…66 Dneiper River System………………………………………………….……74 Ebro River System……………………………………………………..……77 Fly River System………………………………………………………...…..79 Ganges-Brahmaputra River System…………………………………………83 Girjalva River System…………………………………………………….…91 Krishna-Godavari River System…………………………………………… 94 Huang He River System………………………………………………..……99 Indus River System…………………………………………………………105 Irrawaddy River System……………………………………………………113 Klang River System……………………………………………………...…117 Lena River System……………………………………………………….…121 MacKenzie River System………………………………………………..…126 Magdelena River System……………………………………………..….…130 -
A Look at the Links Between Drainage Density and Flood Statistics
Hydrol. Earth Syst. Sci., 13, 1019–1029, 2009 www.hydrol-earth-syst-sci.net/13/1019/2009/ Hydrology and © Author(s) 2009. This work is distributed under Earth System the Creative Commons Attribution 3.0 License. Sciences A look at the links between drainage density and flood statistics B. Pallard1, A. Castellarin2, and A. Montanari2 1International Center for Agricultural Science and Natural resource Management Studies, Montpellier Supagro, Montpellier, France 2Faculty of Engineering, University of Bologna, Bologna, Italy Received: 28 August 2008 – Published in Hydrol. Earth Syst. Sci. Discuss.: 22 October 2008 Revised: 16 June 2009 – Accepted: 16 June 2009 – Published: 7 July 2009 Abstract. We investigate the links between the drainage den- Woodyer and Brookfield, 1966). Dd is also higher in highly sity of a river basin and selected flood statistics, namely, branched drainage basins with a relatively rapid hydrologic mean, standard deviation, coefficient of variation and coef- response (Melton, 1957). ficient of skewness of annual maximum series of peak flows. The drainage density exertes on flood peaks significant The investigation is carried out through a three-stage anal- controls which can be broadly divided between direct and ysis. First, a numerical simulation is performed by using a indirect effects (Merz and Bloschl¨ , 2008; Bloschl¨ , 2008). spatially distributed hydrological model in order to highlight Among the most significant direct effects there is the con- how flood statistics change with varying drainage density. trol associated with the length of the stream network and Second, a conceptual hydrological model is used in order hillslope paths. Because flow velocity is higher in the river to analytically derive the dependence of flood statistics on network, Dd significantly affects the concentration time and drainage density. -
Hydrologic-Land Use Interactions in a Florida River Basin
HYDROLOGIC-LAND USE I^TTERACTIONS IN A FI.ORIDA RIVER BASIN By PHILIP BRUCE BEDIENT A DISSERTATION PRESENTED TO THE GRADUATE COUNCIL OF THE UNIVERSITY OF FLORIDA IN PARTIAL RILFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY UNIVERSITY OF FLORIDA 1975 DEDICATED TO MY WIFE CINDY WHO WOKK-ED UNSELFISHLY FOR FOUR YEARS SO THAT I COULD COMPLETE m EDUCATION ACKNOI-JLEDGMENTS I would like to thank the members of my graduate comraittee for their encouragement and advice throughout the research effort. I would espe- cially like to thank Dr. W.C. Ruber for his undivided attention and assistance from the early conception of the research to the final days of writing and review. I would also like to thank Dr. J. P. Heaiiey and Dr. H.T. Odum for many hours of enlightening discussions and lectures. The primary influence for the overall research has come from these three pro- fessors, and I am deeply grateful for their guidance throughout the past five years. Special thanks are due to several of my co-workers vjho provided support and encouragement when it V7as needed. Without Mr. Steve Gatewood's cartographic and drafting ability, much of the research would have been incomplete. Mr. Jerry Bowden contributed many hours of tedious effort so that input data and computer outputs were available on time, I am grateful to them both for their hard work and good friendship. I would like to thank the research group at the Central and Southern Florida Flood Control District for funding the Kissimraee Project, and for providing such able assistance in data collection and analysis. -
The Relationship Between Drainage Density and Soil Erosion Rate: a Study of Five Watersheds in Ardebil Province, Iran
River Basin Management VIII 129 The relationship between drainage density and soil erosion rate: a study of five watersheds in Ardebil Province, Iran A. Moeini1, N. K. Zarandi1, E. Pazira1 & Y. Badiollahi2 1Department of Watershed Management, College of Agriculture and Natural Resources, Science and Research Branch, Islamic Azad University, Iran 2University College of Nabie Akram (UCNA), Iran Abstract Drainage density is one of the parameters that can be considered as an indicator of erosion rate. This study analysed the relationship between drainage density and soil erosion in five watersheds in Iran. The drainage density was measured using satellite images, aerial photos, and topographic maps by Geographic Information Systems (GIS) technologies. MPSIAC model was employed in a GIS environment to create soil erosion maps using data from meteorological stations, soil surveys, topographic maps, satellite images and results of other relevant studies. Then the correlation between drainage density and erosion rate was measured. The mean soil loss rate in the study areas were 1 to 6.43 t.h-1.y-1 and drainage density values varied 1.44 to 5.43 Km Km-1.The results indicate that the relationship between these two factors improved when the types of sheet erosion, mechanical erosion and mass erosion was ignored because these types of erosion were not mainly influenced by the power of runoff. There was a high correlation between drainage density and erosion in most of the watersheds. Finally a significant relationship was seen between drainage density and erosion in all watersheds. Based on the results obtained, the present method for distinguishing soil erosion was effective and can be used for operational erosion monitoring in other watersheds with the same climate characteristics in Iran.