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

Area Problem01:26

Area Problem

312
Determining the area of a region with straight edges is straightforward, as geometric formulas for rectangles, triangles, and polygons can be applied directly. However, traditional geometric methods are insufficient when a region has a curved boundary, such as the area under a function.fromThe area problem involves finding a systematic way to measure such regions. One approach to solving this problem is through approximation. Instead of attempting to compute the area exactly at the outset, the...
312
Areas Within Irregular Boundaries01:26

Areas Within Irregular Boundaries

497
Calculating areas within irregular boundaries, such as along rivers or curved roads, is crucial in various fields, including surveying, engineering, and environmental management. Surveyors often begin by creating a traverse, a connected series of straight lines approximating the area's boundary. The coordinates of each traverse point are essential for calculating the enclosed area. The double meridian distance formula is a widely used technique for this purpose. This method utilizes the...
497
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

391
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...
391
Multiple Regression01:25

Multiple Regression

3.3K
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...
3.3K
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

860
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
860
Rapidly Varying Flow01:24

Rapidly Varying Flow

731
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...
731

You might also read

Related Articles

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

Sort by
Same author

Intellectual-cultural orientation of family environment and adolescent depressive symptoms: the mediating role of game addiction.

Frontiers in psychiatry·2026
Same author

Tracing Environmental DNA Transport in a Large Lake with Synthetic DNA Microparticles and Hydrodynamic Modeling.

Environmental science & technology·2026
Same author

Groundwater phosphorus contributions comparable to tributaries in a large, mesotrophic, polymictic lake.

The Science of the total environment·2025
Same author

Radiographic evaluation of narrow-diameter implants from different systems for two years.

Frontiers in bioengineering and biotechnology·2025
Same author

An evaluation of necessary model complexity for accounting for radial variability in the upscaling of whole-tree transpiration.

Tree physiology·2025
Same author

Advantages and disadvantages of current human enteric virus surrogates in soils and aquifers.

The Science of the total environment·2025

Related Experiment Video

Updated: May 2, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

7.7K

Improving risk estimates of runoff producing areas: formulating variable source areas as a bivariate process.

Xiaoya Cheng1, Stephen B Shaw2, Rebecca D Marjerison1

  • 1Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY 14853-5701, USA.

Journal of Environmental Management
|March 18, 2014
PubMed
Summary

Identifying areas prone to storm runoff is crucial for managing non-point source pollution. This study introduces a simple method to predict these variable source areas (VSAs) using rainfall and soil moisture, aiding watershed management.

Keywords:
BivariateCurve number (CN)Nonpoint source (NPS) pollutionSoil topographic indexStorm runoffVariable source area (VSA)Water quality

More Related Videos

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.2K
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

12.6K

Related Experiment Videos

Last Updated: May 2, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

7.7K
Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.2K
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

12.6K

Area of Science:

  • Hydrology
  • Water Resource Management
  • Environmental Science

Background:

  • Effective watershed management requires identifying areas prone to storm runoff to mitigate non-point source pollution.
  • Operational methods for predicting runoff-producing areas, especially in variable source area (VSA) hydrology, are limited.
  • Accurate prediction of runoff generation is essential for targeted pollution control strategies.

Purpose of the Study:

  • To develop a straightforward, spatially-distributed method for estimating runoff production risks.
  • To create a tool for identifying variable source areas (VSAs) that dominate storm runoff.
  • To enhance watershed planning for non-point source pollution mitigation.

Main Methods:

  • Developed a bivariate process model for overland flow, integrating rainfall and antecedent soil moisture.
  • Utilized the Natural Resource Conservation Service-Curve Number equation for VSA prediction.
  • Employed base-flow preceding storms as an index for antecedent soil wetness.
  • Applied a Soil Topographic Index within a Geographic Information System for spatial mapping.

Main Results:

  • Demonstrated agreement between estimated runoff volumes and VSA extent with observed data across nine sub-basins.
  • Successfully mapped predicted runoff-producing areas using GIS and the Soil Topographic Index.
  • Validated the proposed methodology's effectiveness in a real-world watershed.

Conclusions:

  • The developed approach offers a novel tool for watershed planners to quantify runoff risks.
  • This methodology enables targeted water quality protection strategies by identifying critical runoff areas.
  • The simple, operational method is suitable for watersheds dominated by VSA hydrology.