2 edition of **Statistical models for estimating flow characteristics of Michigan streams** found in the catalog.

Statistical models for estimating flow characteristics of Michigan streams

David J. Holtschlag

- 351 Want to read
- 38 Currently reading

Published
**1984**
by U.S. Dept. of the Interior, Geological Survey, Open-File Services Section, Western Distribution Branch, USGS [distributor] in Lansing, Mich, Denver, Colo
.

Written in English

- Stream measurements -- Michigan -- Mathematical models.

**Edition Notes**

Bibliography: p. 21.

Statement | by D.J. Holtschlag, and Hope M. Croskey ; prepared jointly with Michigan Department of Natural Resources, Water Management Division. |

Series | Water-resources investigations report -- 84-4207. |

Contributions | Croskey, Hope M., Michigan. Water Management Division., Geological Survey (U.S.) |

The Physical Object | |
---|---|

Pagination | iv, 80 p. : |

Number of Pages | 80 |

ID Numbers | |

Open Library | OL17666318M |

Using Mannings Equation with Natural Streams. By Dan Moore, P.E., Hydraulic Engineer practicioners can more easily estimate how closely a stream may be expected to flow at normal depth In natural streams, even steady uniform flow is rare, for rivers and streams . Stream flashiness is a stream flow response to storms. Streams that rise and fall quickly are considered flashier than those that maintain a steadier flow. An increase in flashiness, often due to changing land use, is a common cause of stream .

Fundamental Parameters of Traffic Flow Lecture notes in Traffic Engineering And Management Contents 1 Overview 2 Traffic stream parameters 3 Speed Spot Speed Running speed Journey speed Time mean speed and space mean speed 4 Flow Variations of Volume Types of volume measurements 5 Density 6 Derived characteristics . Chapter 15 Time of Concentration 15–iv (–VI–NEH, May ) Figure 15–1 Types of flow 15–2 Figure 15–2 Conceptual watershed illustrating travel time from 15–3 the centroid (gray dot) of each band of area to the watershed outlet Figure 15–3 The relation of time of .

Name: Base Flow of Michigan Streams Display Field: PU Type: Feature Layer Geometry Type: esriGeometryPolyline Description: This data set provides estimates of the ground-water contribution to stream flow, frequently referred to as base flow, in cubic feet per second. The baseflow of a stream . Once built and calibrated, SPARROW models can be applied in a variety of ways to better understand the environmental factors affecting water-quality conditions in streams. SPARROW models were applied at the national scale to estimate natural background levels of nutrients to help guide the potential development of nutrient criteria in streams.

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Multiple-regression equations provide statistical models to estimate flow characteristics at ungaged sites in Michigan. The equations require determination of several readily measureable basin and metereological characteristics and an areal adjustment factor.

Statistical models are often used to transfer streamflow information from gaged to ungaged sites. The multiple-regression equation is a common statistical model to estimate flow characteristics of streams. Bent (, ) developed equations for estimating flow characteristics Cited by: 8. Additional Physical Format: Online version: Holtschlag, David J.

Statistical models for estimating flow characteristics of Michigan streams. Lansing, Mich.: U.S. Statistical models for estimating daily streamflow were analyzed for 25 pairs of streamflow-gaging stations in Michigan. Stations were paired by randomly choosing a station operated in at which 10 or more years of continuous flow data had been collected and at which flow is virtually unregulated; a nearby station was chosen where flow characteristics Cited by: 2.

COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated. WRIREstimating the Magnitude of Peak Flows for Streams in Kentucky for Selected Recurrence Intervals.

WRIREstimating Mean Annual Streamflow of Rural Streams in Kentucky. WRIREstimation of Peak-Discharge Frequency of Urban Streams. stream typically has a high flow during spring runoff and lower flow during some weeks in the summer can be ignored, since this is fairly typical for Michigan streams.

However, the pattern of flow fluctuation in some streams File Size: KB. What Is a Low Flow Statistic. Low flow statistics are estimates of the lowest flow event in a stream or river that would be expected to occur over some period of record.

NPDES permit writers typically. Flow data are not available for the listed section (d) segments; although, there is one active USGS gage in the watershed. Thus, a streamflow estimation technique is necessary to create flow duration.

Access to the Flood Flow Database is provided as a service to allow you to check the status of your flood flow requests or to view discharges from previous requests for preliminary design purposes.

The. estimate low-flow statistics at locations where no streamflow information exists. This is most often accomplished using regionalization techniques and regression analyses that relate low-flow statistics to selected physical and climatic characteristics of drainage basins.

Estimating Low-Flow Frequency Statistics for Unregulated Streams Cited by: Introduction. Streamflow statistics such as flood peak flows, monthly means and medians, and 7-day year low flows (7Q10) are used for a variety of purposes, including the design.

• Methodology published in Statistical Models for Estimating Flow Characteristics of Michigan Streams, USGS, • Methodology based on gage analyses • Data published for each studied gage • Ungaged watersheds with DA>20 square miles • Flow.

The standard errors of estimate of the regression equations range from 30 to 39 percent. The report by Holtschlag and Croskey () includes procedures for estimating mean and mean monthly flows, 5 points on the flow-duration curve, and 7-day and day, year low flows. Statistical Guidesheets have been developed to describe the extent to which statistical analysis of data may be relied upon to evaluate each exposure pathway and condition.

At the top of each Statistical Guidesheet is an Applicability of Statistics. Overview of NSSThe U.S. Geological Survey (USGS) develops and publishes regression equations for estimating streamflow statistics for every State, the Commonwealth of Puerto Rico, and a number of metropolitan areas in the United States.

These equations have been compiled into the National Streamflow Statistics. The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model.

A regression model for computing index flows describing the median flow for the summer month of lowest flow in Michigan - Statistical Models for Estimating Daily Streamflow in Michigan - Streambed Stability and Scour Potential at Selected Bridge Sites in Michigan.

Methods for estimating selected spring and fall low-flow frequency statistics for ungaged stream sites in Iowa, based on data through June A statewide study was led to develop regression equations for estimating three selected spring and three selected fall low-flow frequency statistics for ungaged stream.

STATISTICAL REPORT INTRODUCTION i Since the edition of the MDOC and statistics regarding the characteristics of the prisoner population.

• Section D, Parole Board, summarizes data on Statistics - Michigan. Range of values of basin characteristics used to estimate low-flow frequency statistics for unregulated streams in regions in Idaho.

[Location of regions are shown in figure 1.Our USGS Upper Midwest Water Science Center priority is to continue the important work of the Department of the Interior and the USGS, while also maintaining the health and safety of our .Geological characteristics (e.g., groundwater flow and stream slope) Do low flows occur at the same time each year?

Most streams will illustrate annual variation that can be explained by seasonal .