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Related Concept Videos

Quality of Water01:19

Quality of Water

In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
Testing Water Quality01:14

Testing Water Quality

When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...

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Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

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Published on: July 24, 2016

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A data-driven index for evaluating BMP water quality performance.

Elizabeth A Fassman-Beck1, Edward D Tiernan1, Ka Lun Cheng2

  • 1Southern California Coastal Water Research Project, 3535 Harbor Blvd. Ste. 110, Costa Mesa, CA 92627, USA.

Water Research
|May 11, 2025
PubMed
Summary
This summary is machine-generated.

A new stormwater best management practice (BMP) performance index (PI) offers a simple, unbiased method to assess water quality treatment performance. This data-driven index provides actionable insights for BMP planning, implementation, and maintenance.

Keywords:
NPDES, Stormwater quality, Nonpoint source pollution, Performance evaluation, Green infrastructureUrban runoff

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Area of Science:

  • Environmental Engineering
  • Water Quality Management
  • Stormwater Management

Background:

  • Stormwater best management practices (BMPs) are crucial for mitigating urban water pollution.
  • Assessing the true performance of BMPs can be complex due to varying conditions.
  • Existing assessment methods may not provide clear, actionable feedback for managers.

Purpose of the Study:

  • To develop a data-driven performance index (PI) for evaluating structural stormwater BMPs.
  • To provide an unbiased and simple method for interpreting BMP water quality treatment performance.
  • To generate actionable information for BMP planning, implementation, and maintenance.

Main Methods:

  • Developed a PI using field-monitored influent-effluent pollutant concentrations.
  • Normalized data by a user-specified water quality benchmark for objective comparison.
  • Binned normalized data into performance categories (Success, Excess, Marginal, Insufficient, Failure).
  • Adapted an analytical hierarchy procedure to combine multiple pollutant scores.

Main Results:

  • The PI allows benchmarking BMP performance irrespective of treatment mechanisms, climate, hydrology, or site-specific pollutant levels.
  • Performance categories provide clear indicators of the potential to achieve downstream water quality goals.
  • The PI facilitates BMP selection, comparison of similar BMPs, and provides actionable feedback for refinement.

Conclusions:

  • The developed PI offers a robust, adaptable tool for assessing stormwater BMP performance.
  • It provides clear, interpretable feedback for managers, designers, and maintenance teams.
  • The PI supports informed decision-making for effective watershed management and achieving water quality objectives.