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

Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

1.8K
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...
1.8K
Responses to Drought and Flooding02:41

Responses to Drought and Flooding

10.7K
Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
10.7K
Precipitation Processes01:12

Precipitation Processes

447
The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
447
Types of Coprecipitation01:10

Types of Coprecipitation

615
Coprecipitation is the contamination of a precipitate by otherwise soluble species and occurs via different processes. In colloidal precipitates, coprecipitation occurs via surface adsorption. For instance, barium sulfate has a primary layer of adsorbed barium ions and a secondary layer of nitrate counterions. This results in contamination of the precipitate by barium nitrate.
Sometimes, ions in a crystal lattice can undergo isomorphous replacement by inclusions of similar charge and size. For...
615
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

65
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
65
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

47
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...
47

You might also read

Related Articles

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

Sort by
Same author

Design of novel interlocked bi-layer NiTi braided stent with ultra-thin walls for urinary tract obstruction treatment.

Regenerative biomaterials·2026
Same author

A Clinical and Pathological Analysis of Seven Cases of Salivary Gland Ductal Carcinoma.

Cureus·2026
Same author

Metastatic patterns, prognostic factors, and deep learning model development in primary gastrointestinal melanoma: a retrospective cohort analysis.

Translational cancer research·2026
Same author

PtRu nanoparticle catalysts with adjustable electronic environments for efficient low-temperature dehydrogenation of cycloalkanes.

Journal of colloid and interface science·2026
Same author

Vonoprazan-Tetracycline Dual Regimen as Rescue Therapy for Helicobacter pylori Infection: Randomized Controlled Trial.

Gastroenterology·2026
Same author

Integrating Network Pharmacology and Experimental Validation: Mechanistic Study of the Anti-<i>Porphyromonas gingivalis</i> and Anti-Inflammatory Effects of <i>Berberis hemsleyana</i> Ahrendt Extract.

Plants (Basel, Switzerland)·2026

Related Experiment Video

Updated: Jul 2, 2025

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics
13:02

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

Published on: October 5, 2016

10.4K

Understanding drought propagation through coupling spatiotemporal features using vine copulas: A compound drought

Guibin Yang1, Jianxia Chang1, Yimin Wang1

  • 1State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China (Xi'an University of Technology), Xi'an 710048, China.

The Science of the Total Environment
|February 22, 2024
PubMed
Summary

This study introduces a novel Vine copula method to assess compound drought impacts on food security. It accurately predicts agricultural drought probability by analyzing meteorological and agricultural drought interactions over time and space.

Keywords:
3D-drought eventCompound droughtCompound duration and areaDrought propagationPropagation probabilityVine copula

More Related Videos

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant&#8211;Environment Interactions
15:30

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

Published on: August 5, 2020

11.5K
Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

6.0K

Related Experiment Videos

Last Updated: Jul 2, 2025

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics
13:02

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

Published on: October 5, 2016

10.4K
A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant&#8211;Environment Interactions
15:30

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

Published on: August 5, 2020

11.5K
Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

6.0K

Area of Science:

  • Environmental Science
  • Agricultural Science
  • Climate Science

Background:

  • Evaluating drought's agricultural impact is crucial for food security, especially during compound drought events.
  • Existing methods struggle to capture the complex interplay of meteorological and agricultural droughts.

Purpose of the Study:

  • To develop a novel approach using Vine copula for evaluating drought propagation under compound drought scenarios.
  • To accurately assess the probability of agricultural drought triggered by compound drought events.

Main Methods:

  • Utilized a 3D clustering method to identify and characterize meteorological and agricultural drought events.
  • Employed spatiotemporal matching to extract compound drought events.
  • Applied Vine copula to model interdependencies between drought intensity, duration, and area.

Main Results:

  • Compound duration (CD) and compound area (CA) effectively characterize drought propagation potential.
  • CD influences propagation probability (stratification), while CA increases it proportionally.
  • Vine copula accurately models compound drought characteristics, providing robust probabilistic evaluations.

Conclusions:

  • The Vine copula approach offers accurate probabilistic drought impact assessments for stakeholders.
  • This research provides new insights into drought propagation mechanisms, crucial for regional food security.
  • Spatiotemporal analysis is vital to avoid underestimating drought propagation risks.