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

Multiple Regression01:25

Multiple Regression

3.7K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.7K
Testing Water Quality01:14

Testing Water Quality

281
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...
281
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

220
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...
220
Quality of Water01:19

Quality of Water

420
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...
420
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

405
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
405
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

177
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
177

You might also read

Related Articles

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

Sort by
Same author

Clinical outcomes of pretarsal fullness formation by capsulopalpebral fascia plication with silicone prosthesis implantation and pretarsal fullness surgery.

Medicine·2026
Same author

Romiplostim versus Placebo for Chemotherapy-Induced Thrombocytopenia. Reply.

The New England journal of medicine·2026
Same author

Multi-omics characterization of new and aged Daqu reveals region-specific microbial succession and metabolic signatures in Maotai-flavor liquor fermentation.

Microbiology spectrum·2026
Same author

<i>Lactiplantibacillus plantarum</i> CQPC03 Reduces Carrageenan-Induced Thrombosis in Mice via Controlling the Flora in the Gut.

Food science & nutrition·2026
Same author

Krüppel-like factor 2 programs early exhausted T cell states and restrains antiviral immunity.

Immunity·2026
Same author

Variations in the Gut Microbiota of Stray and Domestic Cats.

Animals : an open access journal from MDPI·2026

Related Experiment Video

Updated: Dec 11, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.3K

Predicting water quality during urbanization based on a causality-based input variable selection method modified

Xinzi Wang1, Kejia Wang1, Jiamu Ding1

  • 1Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, People's Republic of China.

Environmental Science and Pollution Research International
|August 23, 2020
PubMed
Summary

Urbanization impacts water quality, but forecasting shows it can remain good. Controlling industrial wastewater and fertilizer use is key to managing future water quality threats.

Keywords:
Back-propagation neural networkGray modelPath analysisPrincipal component analysisUrbanizationWater quality

More Related Videos

Design and Construction of an Urban Runoff Research Facility
13:48

Design and Construction of an Urban Runoff Research Facility

Published on: August 8, 2014

13.4K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.3K

Related Experiment Videos

Last Updated: Dec 11, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.3K
Design and Construction of an Urban Runoff Research Facility
13:48

Design and Construction of an Urban Runoff Research Facility

Published on: August 8, 2014

13.4K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.3K

Area of Science:

  • Environmental Science
  • Urban Planning
  • Water Resource Management

Background:

  • Rapid urbanization is a primary driver of declining water quality.
  • Integrating urbanization factors into water quality forecasting is essential.
  • Understanding the causal links between urbanization and water quality is crucial for effective management.

Purpose of the Study:

  • To establish the causal relationship between urbanization and water quality.
  • To predict future water quality based on identified causal links.
  • To inform water management strategies in rapidly urbanizing areas.

Main Methods:

  • Collected nine urbanization indicators and 12 water quality parameters (2006-2018) for Nanjing.
  • Employed correlation and path analyses to determine causal relationships.
  • Utilized a back-propagation neural network (BPNN) for water quality prediction.

Main Results:

  • BPNN model achieved high accuracy (R² > 0.99 training, R² > 0.76 testing).
  • Overall water quality in Nanjing is projected to remain good from 2019-2028.
  • Industrial structure transfer positively influences water quality; volatile phenols pose a future threat.

Conclusions:

  • Water quality can be maintained despite ongoing urbanization.
  • Continued control of industrial wastewater and fertilizer use is vital.
  • The study provides models for future-proofing water management strategies.