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It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
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On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
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When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...
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Baseflow estimation for catchments in the Loess Plateau, China.

Junlong Zhang1, Jinxi Song2, Lei Cheng3

  • 1College of Geography and Environment, Shandong Normal University, Jinan, 250358, China.

Journal of Environmental Management
|December 25, 2018
PubMed
Summary

Baseflow estimation in the Weihe River Basin reveals a gradual increase due to soil conservation. This groundwater-derived streamflow is crucial for aquatic ecosystems and water resource management.

Keywords:
Baseflow indexBaseflow separationDigital filterDrought periodSeasonality ratio

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Area of Science:

  • Hydrology
  • Hydrogeology
  • Environmental Science

Background:

  • Baseflow, originating from groundwater, is vital for aquatic ecosystems and water resource management.
  • Understanding baseflow dynamics is critical for groundwater system functioning and regional water management, especially in the Loess Plateau.
  • The Weihe River Basin's aquatic ecosystem relies heavily on baseflow for sustenance.

Purpose of the Study:

  • To estimate baseflow from total streamflow in the Weihe River Basin using a digital filter.
  • To analyze the spatial and temporal variability of baseflow and its influencing factors.
  • To provide insights for effective water resource management and understanding groundwater-surface water interactions.

Main Methods:

  • A two-well parameterized digital filter was employed to separate baseflow from daily total streamflow.
  • The filter's parameters, maximum baseflow index (BFImax) and recession constant, were estimated using UKIH and recession analysis.
  • The study focused on the Weihe River Basin, a key region in the Loess Plateau.

Main Results:

  • The baseflow index generally increased from upstream to downstream in the Weihe River (ranging from 0.27 to 0.32).
  • Baseflow in the river exhibits a summer dominance, indicating seasonal variability.
  • A gradual increasing trend in baseflow was observed, attributed to the implementation of soil conservation measures.

Conclusions:

  • Baseflow estimation provides crucial data for understanding groundwater system behavior and surface water interactions.
  • The findings highlight the positive impact of soil conservation measures on baseflow and aquatic ecosystems.
  • This study enhances the understanding of baseflow responses to seasonal changes and water management strategies at a basin scale.