A Hydrologic Study of the Bear Creek Watershed Using GIS and the HEC-Hydrologic Modeling System Rodney Kenyal Jones Iowa State University
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Popol Vuh Y El Humanismo En Los Pueblos Amerindios Alejandro Gavilanez Pérez 9-16
RELIGACIÓN Revista de Ciencias Sociales y Humanidades Vol. 4 • Nº 14 • Abril 2019 ISSN 2477-9083 Religación. Revista de Ciencias Sociales y Humanidades es una revista académica de periodicidad trimestral, editada por el Centro de Investigaciones en Ciencias Sociales y Humanidades desde América Latina. Se encarga de difundir trabajos científicos de investigación producidos por los diferen- tes grupos de trabajo así como trabajos de investigadores nacionales e internacionales externos. Es una revista arbitrada con sede en Quito, Ecuador y que maneja áreas que tienen re- lación con la Ciencia Política, Educación, Religión, Filosofía, Antropología, Sociología, Historia y otras afines, con un enfoque latinoamericano. Está orientada a profesionales, investigadores, profesores y estudiantes de las diversas ramas de las Ciencias Sociales y Humanidades. El contenido de los artículos que se publican en RELIGACIÓN, es responsabilidad exclusiva de sus autores y el alcance de sus afirmaciones solo a ellos compromete. Religación. Revista de Ciencias Sociales y Humanidades.- Quito, Ecuador. Centro de In- vestigaciones en Ciencias Sociales y Humanidades desde América Latina, 2019 Abril 2019 Trimestral - marzo, junio, septiembre, diciembre ISSN: 2477-9083 1. Ciencias Sociales, 2 Humanidades, 3 América Latina © Religación. Centro de Investigaciones en Ciencias Sociales y Humanidades desde América Latina. 2019 Correspondencia Molles N49-59 y Olivos Código Postal: 170515 Quito, Ecuador (+593) 984030751 (00593) 25124275 [email protected] http://revista.religacion.com www.religacion.com RELIGACIÓN Revista de Ciencias Sociales y Humanidades Director Editorial • Mtr. Eva María Galán Mireles / Universidad Autónoma del Es- Roberto Simbaña Q. tado de Hidalgo [email protected] • Lcdo. Felipe Passolas / Fotoperiodista independiente-España • Dr. Gustavo Luis Gomes Araujo / Universidade de Heidel- berg-Alemania • M.Sc. -
Determination of Curve Number and Estimation of Runoff Using Indian Experimental Rainfall and Runoff Data
Journal of Spatial Hydrology Volume 13 Number 1 Article 2 2017 Determination of curve number and estimation of runoff using Indian experimental rainfall and runoff data Follow this and additional works at: https://scholarsarchive.byu.edu/josh BYU ScholarsArchive Citation (2017) "Determination of curve number and estimation of runoff using Indian experimental rainfall and runoff data," Journal of Spatial Hydrology: Vol. 13 : No. 1 , Article 2. Available at: https://scholarsarchive.byu.edu/josh/vol13/iss1/2 This Article is brought to you for free and open access by the Journals at BYU ScholarsArchive. It has been accepted for inclusion in Journal of Spatial Hydrology by an authorized editor of BYU ScholarsArchive. For more information, please contact [email protected], [email protected]. Journal of Spatial Hydrology Vol.13, No.1 Fall 2017 Determination of curve number and estimation of runoff using Indian experimental rainfall and runoff data Pushpendra Singh*, National Institute of Hydrology, Roorkee, Uttarakhand, India; email: [email protected] S. K. Mishra, Dept. of Water Resources Development & Management, IIT Roorkee, Uttarakhand; email: [email protected] *Corresponding author Abstract The Curve Number (CN) method has been widely used to estimate runoff from rainfall runoff events. In this study, experimental plots in Roorkee, India have been used to measure natural rainfall-driven rates of runoff under the main crops found in the region and derive associated CN values from the measured data using five different statistical methods. CNs obtained from the standard United States Department of Agriculture - Natural Resources Conservation Service (USDA-NRCS) table were suitable to estimate runoff for bare soil, soybeans and sugarcane. -
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Mitchell Creek Watershed Hydrologic Study 12/18/2007 Page 1
Mitchell Creek Watershed Hydrologic Study Dave Fongers Hydrologic Studies Unit Land and Water Management Division Michigan Department of Environmental Quality September 19, 2007 Table of Contents Summary......................................................................................................................... 1 Watershed Description .................................................................................................... 2 Hydrologic Analysis......................................................................................................... 8 General ........................................................................................................................ 8 Mitchell Creek Results.................................................................................................. 9 Tributary 1 Results ..................................................................................................... 11 Tributary 2 Results ..................................................................................................... 15 Recommendations ..................................................................................................... 18 Stormwater Management .............................................................................................. 19 Water Quality ............................................................................................................. 20 Stream Channel Protection ....................................................................................... -
North Branch of the Chicago River SCS Curve Number Generation
North Branch of the Chicago River SCS Curve Number Generation This technical memorandum describes HDR’s approach for generating SCS Curve Number data for the watersheds comprising the North Branch of the Chicago River (herein referred to as the “North Branch”). 1. Approach Previous approaches for Detailed Watershed Plan (DWP) SCS curve number generation are the “Calumet-Sag Watershed SCS Curve Number Generation” technical memorandum a authored by CH2M Hill (dated August 14, 2007 and herein referred to as the “CH2M Hill Memo”) and “Comments on CH2MHill Curve Numbers” b email authored by CTE (dated September 14, 2007 and herein referred to as the “CTE email”). HDR will incorporate these approaches, with the following changes or refinements: o The use of an additional Natural Resources Conservation Service (NRCS) soil survey for the City of Chicago; o Analysis of the affects of minor soil types; o Review and revisions of land use information; o Use of existing remote sensing datasets to estimate impervious areas; o GIS dataset preparation. 2. NRCS Soil Survey The CH2M Hill Memo noted that NRCS soils datasets covered portions of the watersheds but did not include the City of Chicago. In place of this, the CH2M Hill Memo recommended assuming a uniform hydrologic soil group (HSG) of “C”, representing moderately high runoff potential soils. The NRCS provides two types of soil datasets for the area. One type is the Soil Survey Geographic, or SSURGO, dataset c. The SSURGO dataset is available for select areas and is a detailed soil survey. The City of Chicago is not included in the SSURGO dataset, although portions of the North Branch upper basin are included. -
Assessment of Debris Flow Potential Alice Claim
Assessment of Debris Flow Potential Alice Claim Park City, Utah Date: July, 2017 Project No. 17014 Prepared By: Canyon Engineering Park City, Utah CANYON ENGINEERING SOLUTIONS FOR LAND August 7, 2017 Mr. Matt Cassel, PE, City Engineer Park City Municipal Corp. PO Box 1480 Park City, UT 84060 Subject: Woodside Gulch at Alice Claim Debris Flow Potential Dear Matt: Pursuant to your request, following is our professional opinion as to debris flow potential in Woodside Gulch, and its potential effect on the Alice Claim development. Also included herein is a 100-year floodplain analysis. EXECUTIVE SUMMARY Based on watershed recon, research, mapping, and computations, it is our professional opinion that the potential for hazardous debris flow at the Alice Claim development is quite limited. Is a debris flow event up valley possible? Yes, but in all likelihood, it would cover very little ground, with the potential for property damage at the Alice Claim development being exceedingly low. WATERSHED For the purposes of hydrologic analysis, our point of interest is the gulch thalweg at the north end of the Alice Claim project (King Road) at lat,long 40.6376,-111.4969. Tributary drainage area at this point is mapped at 290 acres (0.453 square miles). See Watershed Map in the Appendix. Ground elevation ranges from approximately 7,300 to 9,250 feet, with thalweg slope for the entire watershed length averaging almost 17%. For the most part, natural mountainsides slope at less than 45%, with a few steeper areas approaching 60%. The watershed is for the most part covered with mature vegetation, including oak and sagebrush, and aspen and fir forest. -
SCS-CN Parameter Determination Using Rainfall-Runoff Data in Heterogeneous Watersheds – the Two-CN System Approach
Hydrol. Earth Syst. Sci., 16, 1001–1015, 2012 www.hydrol-earth-syst-sci.net/16/1001/2012/ Hydrology and doi:10.5194/hess-16-1001-2012 Earth System © Author(s) 2012. CC Attribution 3.0 License. Sciences SCS-CN parameter determination using rainfall-runoff data in heterogeneous watersheds – the two-CN system approach K. X. Soulis and J. D. Valiantzas Agricultural University of Athens, Department of Natural Resources Management and Agricultural Engineering, Division of Water Resources Management, Athens, Greece Correspondence to: K. X. Soulis ([email protected]) Received: 5 September 2011 – Published in Hydrol. Earth Syst. Sci. Discuss.: 5 October 2011 Revised: 1 February 2012 – Accepted: 16 March 2012 – Published: 28 March 2012 Abstract. The Soil Conservation Service Curve Number 1 Introduction (SCS-CN) approach is widely used as a simple method for predicting direct runoff volume for a given rainfall event. Simple methods for predicting runoff from watersheds are The CN parameter values corresponding to various soil, land particularly important in hydrologic engineering and hydro- cover, and land management conditions can be selected from logical modelling and they are used in many hydrologic ap- tables, but it is preferable to estimate the CN value from mea- plications, such as flood design and water balance calcula- sured rainfall-runoff data if available. However, previous re- tion models (Abon et al., 2011; Steenhuis et al., 1995; van searchers indicated that the CN values calculated from mea- Dijk, 2010). The Soil Conservation Service Curve Num- sured rainfall-runoff data vary systematically with the rain- ber (SCS-CN) method was originally developed by the SCS fall depth. -
Runoff Curve Number Variation with Drainage Area, Walnut Gulch, Arizona
Runoff Curve Number Variation with Drainage Area, Walnut Gulch, Arizona J. R. Simanton, R. H. Hawkins, M. Mohseni-Saravi, K. G. Renard Abstract. Runoff CurveNumbers (a measure ofa watershed's runoff response to a rainstorm) were determined using threedifferent methodsfor 18 semiarid watershedsin southeasternArizona.Each ofthe methodsproduced similar results. A relationship was then developed between optimum Curve Number and drainage area of the watershed used. Curve Numbers decreased with increasing drainage area. This response is a reflection of spatial variability in rainfall and infiltrationlosses in the coarse-textured material ofthe channels associated with larger drainage basins. Keywords. Runoff,CurveNumber. Hydrologists are frequently concerned with runoff Knowing the soils, the watershed surface cover, vegetative from rainstorms for purposes of structural design, cover, and rainfall depth, the corresponding runoff depth is for post-event appraisals, and for environmental calculated with equations 1 and 2. impact assessment. The most widely used Equation 1 can be solved for S in terms ofP and Q: technique is the "Curve Number" method, developed by the United States Department of Agriculture (USDA), Soil S - 5[P + 2Q - (4Q2+ 5PQ)1/2] (3) Conservation Service (SCS) — now the Natural Resource Conservation Service (NRCS). This model is explained in When specific values of P and Q are available, solution the SCS National Engineering Handbook, Section 4, for S and substitution into equation 2 gives the observed Hydrology, or "NEH-4" (USDA-SCS, 1985). The storm CN for the event. When storm variability is considered, a runoff depth is calculated from the expression: CN for application in a specific locality can be obtained. -
Defect Data Association Analysis of the Secondary System Based on AFWA-H-Mine
energies Article Defect Data Association Analysis of the Secondary System Based on AFWA-H-Mine Yan Xu, Mingyu Wang * and Wen Fan State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University (Baoding), Baoding 071003, China; [email protected] (Y.X.); [email protected] (W.F.) * Correspondence: [email protected]; Tel.: +86-177-2172-9598 (ext. 071003) Abstract: The fault data of the secondary system of smart substations hide some information that the association analysis algorithm can mine. The convergence speed of the Apriori algorithm and FP-growth algorithm is slow, and there is a lack of indicators to evaluate the correlation of association rules and the method to determine the parameter threshold. In this paper, the H-mine algorithm is used to realize the fast mining of fault data. The algorithm can traverse data faster by using the data structure of the H-struct. This paper also sets the lift and CF value to screen the association rules with good correlation. When setting the three key parameters of association analysis, namely, support threshold, confidence threshold, and lift threshold, an objective function composed of weighted average lift, CF value, and data coverage rate was selected, and the adaptive fireworks algorithm was used to optimize the parameters in the association analysis. In particular, the rule screening strategy is introduced in fault cause analysis in this paper. By eliminating rules with high similarity, derived signals in association rules are eliminated to the greatest extent to improve the readability of rules and ensure easy understanding of results. -
Runoff Conditions for Converting Storm Rainfall to Runoff with SCS Curve
State Water Survey Division SURFACE WATER SECTION AT THE Illinois Department of UNIVERSITY OF ILLINOIS Energy and Natural Resources SWS Contract Report 288 RUNOFF CONDITIONS FOR CONVERTING STORM RAINFALL TO RUNOFF WITH SCS CURVE NUMBERS by Krishan P. Singh, Ph.D., Principal Scientist Champaign, Illinois April, 1982 CONTENTS Page Introduction 1 Objectives of This Study 2 Highlights of This Study 3 Acknowledgments 6 Derivation of Basin Curve Numbers 7 Soil Groups 7 Cover 8 Curve Numbers 9 Antecedent Moisture Condition, AMC 9 Basin Curve Number 12 AMC from 100-Year Floods and Storms 18 Runoff Factors, RF, with SCS Curve Numbers 18 100-Year Storms in Illinois 19 100-Year Floods 22 Ql00 with RF=1.0 and Runoff Factors 34 Estimated Basin AMCs 39 Effect of Updating AMC 39 Observed Floods and Associated Storms and AMCs 44 Observed High Floods and Antecedent Precipitation, AP 44 Observed Storm Rainfall, Surface Runoff, and AP 55 Summary and Conclusions 60 References 62 i INTRODUCTION In August 1972, the 92nd Congress of the United States authorized the National Dam Safety Program by legislating Public Law 92-367, or the National Dam Inspection Act. This Act authorized the Secretary of the Army, acting through the Chief of Engineers, to initiate an inventory program for all dams satisfying certain size criteria, and a safety inspection of all non-federal dams in the United States that are classified as having a high or significant hazard potential because of the existing dam conditions. The Corps of Engineers (1980) lists 920 federal and non• federal dams in Illinois meeting or exceeding the size criteria as set forth in the Act. -
Hydrology Is Generally Defined As a Science Dealing with the Interrelation- 7.2.2 Ship Between Water on and Under the Earth and in the Atmosphere
C H A P T E R 7 H Y D R O L O G Y Chapter Table of Contents October 2, 1995 7.1 -- Hydrologic Design Policies - 7.1.1 Introduction 7-4 - 7.1.2 Surveys 7-4 - 7.1.3 Flood Hazards 7-4 - 7.1.4 Coordination 7-4 - 7.1.5 Documentation 7-4 - 7.1.6 Factors Affecting Flood Runoff 7-4 - 7.1.7 Flood History 7-5 - 7.1.8 Hydrologic Method 7-5 - 7.1.9 Approved Methods 7-5 - 7.1.10 Design Frequency 7-6 - 7.1.11 Risk Assessment 7-7 - 7.1.12 Review Frequency 7-7 7.2 -- Overview - 7.2.1 Introduction 7-8 - 7.2.2 Definition 7-8 - 7.2.3 Factors Affecting Floods 7-8 - 7.2.4 Sources of Information 7-8 7.3 -- Symbols And Definitions 7-9 7.4 -- Hydrologic Analysis Procedure Flowchart 7-11 7.5 -- Concept Definitions 7-12 7.6 -- Design Frequency - 7.6.1 Overview 7-14 - 7.6.2 Design Frequency 7-14 - 7.6.3 Review Frequency 7-15 - 7.6.4 Frequency Table 7-15 - 7.6.5 Rainfall vs. Flood Frequency 7-15 - 7.6.6 Rainfall Curves 7-15 - 7.6.7 Discharge Determination 7-15 7.7 -- Hydrologic Procedure Selection - 7.7.1 Overview 7-16 - 7.7.2 Peak Flow Rates or Hydrographs 7-16 - 7.7.3 Hydrologic Procedures 7-16 7.8 -- Calibration - 7.8.1 Definition 7-18 - 7.8.2 Hydrologic Accuracy 7-18 - 7.8.3 Calibration Process 7-18 7–1 Chapter Table of Contents (continued) 7.9 -- Rational Method - 7.9.1 Introduction 7-20 - 7.9.2 Application 7-20 - 7.9.3 Characteristics 7-20 - 7.9.4 Equation 7-21 - 7.9.5 Infrequent Storm 7-22 - 7.9.6 Procedures 7-22 7.10 -- Example Problem - Rational Formula 7-33 7.11 -- USGS Rural Regression Equations - 7.11.1 Introduction 7-36 - 7.11.2 MDT Application 7-36 -
Analysis of the Modeling Method and Application of 3D City Model Based
International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2015) Analysis of the Modeling Method and Application of 3D City Model based on the Cityengine 1,a 2,b 2,b 2,b Xifang JIN , Fangzheng WANG , Lianxiu HAO ,Yaping DUAN ,Lili CHEN2,b 1North China Sea Marine Forecasting Center of Station Oceanic Administration, North China Sea Branch of State Oceanic Administration, Qingdao, 266061,China 2College Of Geomatics, Shandong University of Science and Technology, Qingdao, 266590,China aemail:[email protected], bemail:[email protected] Keywords: CityEngine; 3D modeling; CGA rules Abstract. Modeling method at present based on traditional manual modeling method has bottleneck problems that restrict the development of digital city, mainly for the long cycle, large workload, high cost. Based on the analysis of digital city and 3D GIS, this paper designs a solution based on CityEngine 3D modeling and studies how to make the modeling efficient and batched modeling by procedural rules, and summed up a set of general-purpose modeling technique process. On this basis, the paper analyses the existing problems in the modeling process combined with actual cases, gives corresponding solutions from the aspects of map data processing 、 building texture acquirement and model expression optimization, at last this paper carries on 3D modeling with Tangdao Bay area of Qingdao as a demonstration area. Introduction As the basis for the construction of digital city scene,3D modeling technology provides city managers and planners with an intuitive and stereoscopic visual perception. At the same time, it has a very important significance for the city's information construction [1].