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Related Concept Videos

Rapidly Varying Flow01:24

Rapidly Varying Flow

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Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
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Gradually Varying Flow01:29

Gradually Varying Flow

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Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
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Weir: Problem Solving01:26

Weir: Problem Solving

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Water flow in open channels is often measured using hydraulic structures such as weirs, which allow precise calculation of discharge. In a rectangular channel, flow rates are measured using three types of weirs: rectangular sharp-crested, triangular sharp-crested, and broad-crested. The weir head is set at a fixed height above the channel bottom, simplifying calculations and enabling the relationship between depth and flow rate to be analyzed.For the rectangular sharp-crested weir, the flow...
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Typical Model Studies01:30

Typical Model Studies

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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Design Example: Design of an Irrigation Channel01:27

Design Example: Design of an Irrigation Channel

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Trapezoidal channels are widely used in irrigation systems due to their cost-effectiveness and efficiency in conveying water. Trapezoidal channels feature a flat bottom and sloping sides, making them stable and easier to construct compared to other shapes. The bottom width and side slope ratio are determined based on the required flow capacity and site conditions. The side slope is kept gentle for unlined channels to prevent soil erosion.Hydraulic parameters in channel design include the flow...
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Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
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Reconstructed monthly river flows for Irish catchments 1766-2016.

Paul O'Connor1, Conor Murphy1, Tom Matthews2

  • 1Irish Climate Analysis and Research Units Department of Geography Maynooth University Maynooth Co. Kildare Ireland.

Geoscience Data Journal
|July 5, 2021
PubMed
Summary
This summary is machine-generated.

A 250-year river flow archive for Ireland was created using hydrological modeling and artificial neural networks. This valuable dataset aids in understanding river flow variations and climate impacts on catchments.

Keywords:
Irelandhydrological modellingreconstructionriver flowtime series

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Area of Science:

  • Hydrology
  • Climate Science
  • Data Science

Background:

  • Long-term river flow data is crucial for water resource management and climate change impact studies.
  • Historical meteorological data rescue and reconstruction are essential for extending hydrological records.

Purpose of the Study:

  • To develop a 250-year (1766-2016) monthly river flow reconstruction for 51 Irish catchments.
  • To quantify uncertainties in river flow reconstructions and evaluate their accuracy.

Main Methods:

  • Utilized meteorological data rescue, gridded precipitation, and temperature reconstructions.
  • Employed the GR2M hydrological model and an Artificial Neural Network for flow modeling.
  • Quantified uncertainties using hydrological model structure and parameter variations.

Main Results:

  • Achieved good skill in reconstructions, with Mean Absolute Error (MAE) of 9.3 mm/month (13.3%) and Root Mean Square Error (RMSE) of 12.6 mm/month (18.0%).
  • Identified notable flow extremes: highest annual flows in 1877, lowest in 1855, highest winter flows in 2015/16, lowest summer flows in 1826, and low autumn flows in 1933.
  • Validated reconstructions against quality-assured precipitation data from 1850-2000.

Conclusions:

  • The reconstructed river flow database provides a robust tool for analyzing catchment-specific responses to climate variability and extremes.
  • Enables detailed assessment of hydrological changes on annual, seasonal, and monthly timescales across Ireland.