Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Sampling Plans01:23

Sampling Plans

Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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...
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...
Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Heart rate response and cardiovascular risk during obstructive sleep apnoea: an easy biomarker derived from pulse oximetry.

The European respiratory journal·2025
Same author

Sleep apnea physiological burdens and markers of white matter injury: the Multi-Ethnic Study of Atherosclerosis.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine·2024
Same author

Mouth Closure and Airflow in Patients With Obstructive Sleep Apnea: A Nonrandomized Clinical Trial.

JAMA otolaryngology-- head & neck surgery·2024
Same author

Treatment of Sleep Apnea and Reduction in Blood Pressure: The Role of Heart Rate Response and Hypoxic Burden.

Hypertension (Dallas, Tex. : 1979)·2024
Same author

Physiological Determinants of Snore Loudness.

Annals of the American Thoracic Society·2023
Same author

Hypoxic burden to guide CPAP treatment allocation in patients with obstructive sleep apnoea: a <i>post hoc</i> study of the ISAACC trial.

The European respiratory journal·2023

Related Experiment Video

Updated: Jul 14, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Siting analyses for water quality sampling in a catchment.

Jehng-Jung Kao1, Pei-Hao Li, Chin-Lien Lin

  • 1Institute of Environmental Engineering, National Chiao Tung University, Hsinchu, 300 Taiwan, Republic of China. jjkao@mail.nctu.edu.tw

Environmental Monitoring and Assessment
|June 19, 2007
PubMed
Summary

Designing effective water quality sampling networks is crucial for monitoring reservoir pollution. This study enhances sampling site selection by incorporating pollution load factors, improving detection of potential pollution events.

More Related Videos

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
12:50

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water
10:34

Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water

Published on: August 3, 2016

Related Experiment Videos

Last Updated: Jul 14, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
12:50

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water
10:34

Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water

Published on: August 3, 2016

Area of Science:

  • Environmental Science
  • Water Resource Management
  • Ecology

Background:

  • Reservoir water quality is degraded by upstream pollution, necessitating effective sampling networks.
  • Existing sampling network design methods lack direct relevance to pollution source distribution.
  • Budgetary constraints pose challenges in optimizing the number and placement of sampling stations.

Purpose of the Study:

  • To improve the design of water quality sampling networks for reservoirs.
  • To incorporate pollution load factors into sampling network optimization.
  • To enhance the detection of pollution events and monitoring of trends.

Main Methods:

  • Modified a simulated annealing algorithm for sampling network design.
  • Included total phosphorus, nitrogen, and sediment loads as key factors.
  • Utilized the AGNPS model to estimate pollution loads in the Derchi reservoir catchment.
  • Applied the Thiessen method for rainfall intensity estimation.

Main Results:

  • Compared sampling network designs based on traditional versus enhanced cost factors.
  • Demonstrated the impact of incorporating pollution loads on network suitability.
  • Analyzed networks with varying numbers of sampling sites.

Conclusions:

  • The enhanced method, considering pollution loads, provides a more appropriate sampling network design.
  • The improved network is expected to better detect pollution events and monitor distribution and temporal trends.
  • This approach offers a valuable tool for water quality management under budget constraints.