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

Responses to Drought and Flooding02:41

Responses to Drought and Flooding

10.9K
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.
10.9K
Precipitation Gravimetry01:03

Precipitation Gravimetry

7.0K
Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
7.0K
Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

2.0K
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...
2.0K
Precipitation Processes01:12

Precipitation Processes

573
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...
573
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

143
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
143
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

95
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...
95

You might also read

Related Articles

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

Sort by
Same author

A near-infrared fluorescent probe for monitoring of elastase activity in diabetes and inflammatory models.

Talanta·2026
Same author

SEVs-carried ENPP1 regulates DCs' activation and inhibits the formation of tertiary lymphoid structures in gastric cancer.

Journal of gastroenterology·2026
Same author

Lipid metabolism links seminal PFAS exposure to IVF outcomes.

Environment international·2026
Same author

Lipid clues: Decoding the effects of endocrine-disrupting chemicals on female reproductive health.

Ecotoxicology and environmental safety·2026
Same author

CSF1R inhibitors mitigate CDK4/6 inhibitor-induced immunosuppression to increase antitumor immunity in HR+/HER2- breast cancer.

Oncogene·2026
Same author

Zn<sup>2+</sup>-dependent modulation of the mitochondrial Ca<sup>2+</sup> uniporter underlies resveratrol-mediated protection against myocardial ischemia-reperfusion injury.

Experimental cell research·2026
Same journal

RETRACTION: Real-Time Modulation of Physical Training Intensity Based on Wavelet Recursive Fuzzy Neural Networks.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Multidimensional Heterogeneous Network Link Adaptation Based on Mobile Environment.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Framework to Segment and Evaluate Multiple Sclerosis Lesion in MRI Slices Using VGG-UNet.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Facial Emotion Recognition Using a Novel Fusion of Convolutional Neural Network and Local Binary Pattern in Crime Investigation.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Intangible Cultural Heritage Reproduction and Revitalization: Value Feedback, Practice, and Exploration Based on the IPA Model.

Computational intelligence and neuroscience·2026
See all related articles

Related Experiment Video

Updated: Sep 1, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

3.9K

Drought Assessment Based on Data Fusion and Deep Learning.

Yanling Li1, Bingyu Wang1, Yajie Gong1

  • 1School of Mathematics and Statistics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.

Computational Intelligence and Neuroscience
|August 12, 2022
PubMed
Summary
This summary is machine-generated.

This study developed a novel drought assessment index for the Yellow River Basin by fusing meteorological and hydrological drought features. The advanced method accurately predicts drought onset, duration, and risks, enhancing drought management strategies.

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

11.8K
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.3K

Related Experiment Videos

Last Updated: Sep 1, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

3.9K
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

11.8K
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.3K

Area of Science:

  • Environmental Science
  • Hydrology
  • Data Science

Background:

  • Drought significantly impacts societal and economic sustainability.
  • Effective drought assessment is crucial for policy-making, early warning systems, and risk mitigation.

Purpose of the Study:

  • To develop an integrated drought assessment index for the Yellow River Basin.
  • To enhance drought risk assessment accuracy using advanced data fusion and deep learning techniques.

Main Methods:

  • Data fusion of meteorological and hydrological drought features.
  • Application of copula functions to create a drought convergence index (DCI).
  • Utilizing transfer entropy for screening drought assessment indices.
  • Establishing a long short-term memory (LSTM) network for drought risk assessment.

Main Results:

  • The DCI accurately identifies drought start and duration by fusing drought features.
  • Transfer entropy effectively screened drought system causality for index refinement.
  • The LSTM network, based on DCI and other factors, provides accurate drought risk assessments.

Conclusions:

  • The integrated approach effectively assesses drought risks in the Yellow River Basin.
  • The developed DCI and LSTM model offer a robust framework for drought management.
  • This research contributes to improved drought preparedness and resilience.