Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Precipitation and Co-precipitation

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...

Precipitation Gravimetry

Precipitation Gravimetry

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...

Precipitation Processes

Precipitation Processes

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...

Calculating and Interpreting the Linear Correlation Coefficient

Calculating and Interpreting the Linear Correlation Coefficient

The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable, x, and the dependent variable, y. Hence, it is also known as the Pearson product-moment correlation coefficient. It can be calculated using the following equation:

Selected Data About Geographic Locations

Selected Data About Geographic Locations

Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...

You might also read

Related Articles

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

Sort by

Same author

Modeling soil solution electrical conductivity across Europe.

The Science of the total environment·2026

Same author

Unveiling fine-scale distribution of endemic shrub Prunus ledebouriana through integrating multi-source remote sensing with deep learning.

Environmental monitoring and assessment·2026

Same author

Comparative analysis of soil prokaryotic community structure and function in Ethiopian Church Forests and adjacent habitats.

Scientific reports·2026

Same author

Rill erosion dynamics in smallholder farming systems of wet tropical Africa.

Scientific reports·2026

Same author

Global Vegetation Greening Is Exacerbating Soil Dryness.

Global change biology·2026

Same author

The Main Barriers to the Implementation of Payment for Environmental Services from the Landowners' Perspective.

Environmental management·2026

Search research articles

Related Experiment Video

Updated: Jul 18, 2025

Laboratory and Field Protocol for Estimating Sheet Erosion Rates from Dendrogeomorphology

Laboratory and Field Protocol for Estimating Sheet Erosion Rates from Dendrogeomorphology

Published on: January 7, 2019

Global rainfall erosivity database (GloREDa) and monthly R-factor data at 1 km spatial resolution.

Panos Panagos¹, Tomislav Hengl², Ichsani Wheeler²

¹European Commission, Joint Research Centre (JRC), Ispra, 21027, Italy.

|August 28, 2023

Summary

This summary is machine-generated.

The Global Rainfall Erosivity Database (GloREDa) offers open access to rainfall erosivity data from nearly 4000 global stations. This resource aids in soil erosion prediction and climate change assessments.

Keywords:

Hydrology Open data Risk Soil erosion Soil health

More Related Videos

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Published on: December 12, 2013

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Published on: September 12, 2017

Related Experiment Videos

Last Updated: Jul 18, 2025

Laboratory and Field Protocol for Estimating Sheet Erosion Rates from Dendrogeomorphology

Laboratory and Field Protocol for Estimating Sheet Erosion Rates from Dendrogeomorphology

Published on: January 7, 2019

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Published on: December 12, 2013

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Published on: September 12, 2017

Area of Science:

Environmental Science
Hydrology
Soil Science

Background:

Soil erosion is a significant environmental challenge driven by rainfall intensity.
Existing rainfall erosivity data is often localized and lacks global coverage.
Accurate rainfall erosivity data is crucial for effective soil conservation and land management.

Purpose of the Study:

To introduce and release the Global Rainfall Erosivity Database (GloREDa), a comprehensive global dataset.
To provide open access to rainfall erosivity (R-factor) data for researchers and policymakers worldwide.
To generate global monthly erosivity datasets at 1 km resolution using machine learning.

Main Methods:

Compilation of rainfall erosivity values from nearly 4000 stations across 65 countries.
Utilizing hourly and sub-hourly rainfall records for R-factor calculation.
Application of an ensemble machine learning approach (mlr package in R) to predict global monthly erosivity.

Main Results:

The establishment of GloREDa, the first open-access global database of rainfall erosivity.
Inclusion of annual and mean monthly erosivity data for a vast number of stations.
Generation of global monthly erosivity raster datasets at 1 km resolution.

Conclusions:

GloREDa provides a vital resource for global soil erosion studies and environmental modeling.
The generated monthly erosivity datasets can support climate change impact assessments and disaster management.
Open access to such data facilitates further research and the development of sustainable land management practices.