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

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

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

268
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...
268
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

334
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
334
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

418
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...
418
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

376
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
376
Contaminants and Errors01:16

Contaminants and Errors

327
Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...
327
Deleterious Substances in Aggregate01:25

Deleterious Substances in Aggregate

506
Deleterious substances in aggregates can be detrimental to the quality and durability of concrete. These substances include organic impurities like loam, which interfere with cement hydration and are usually present in the sand. These prevent a good bond between aggregate and cement paste. Organic impurities can be detected using the colorimetric test, where the darkness of a solution after agitation indicates the level of organic content.
Another type of impurity is clay and fine material that...
506

You might also read

Related Articles

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

Sort by
Same author

Pharmacognostic evaluation and hepatoprotective activity of Solanum americanum.

Pakistan journal of pharmaceutical sciences·2026
Same author

Pyreno-1,2,4-triazines as multifunctional luminogenic click reagents.

Organic & biomolecular chemistry·2025
Same author

Gathering baseline data to assess household energy interventions' impact on indoor air quality, occupant health, and wellbeing: In2Air a non-randomized experiment.

Public health research (Southampton, England)·2025
Same author

Cleaner air, healthier hospitals: Implementing the UK's Clean Air Hospital Framework.

Journal of environmental management·2025
Same author

Evaluating public exposure to airborne particulates from major incident fires: A back trajectory plume modelling approach.

Journal of hazardous materials·2025
Same author

Annealing 1,2,4-triazine to iridium(III) complexes induces luminogenic behaviour in bioorthogonal reactions with strained alkynes.

Dalton transactions (Cambridge, England : 2003)·2024

Related Experiment Video

Updated: Jan 7, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.4K

The Significance of Unifying Non-Integrated Information on Contaminated Land and Risks.

Jacob Brotherton1, Shoaib Hussain1, Michael E Deary1

  • 1Faculty of Engineering and Environment, Northumbria University, City Campus, Newcastle upon Tyne, Postcode: NE1 8ST, UK.

Environmental Management
|December 27, 2025
PubMed
Summary
This summary is machine-generated.

Managing contaminated land (CL) in the UK presents challenges due to non-integrated data from local authorities. This study proposes innovative models using information matrices and GIS for data unification and standardization.

Keywords:
Contaminated LandContaminated SitesEnvironmental communicationGIS ModelInformation ManagementSpecial Sites

More Related Videos

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

12.3K
Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation
10:05

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation

Published on: July 4, 2014

14.7K

Related Experiment Videos

Last Updated: Jan 7, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.4K
Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

12.3K
Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation
10:05

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation

Published on: July 4, 2014

14.7K

Area of Science:

  • Environmental Science
  • Geospatial Information Science
  • Data Management

Background:

  • Contaminated land (CL) poses risks in the UK, managed by local authorities with varying data standards.
  • Lack of standardized documentation and non-integrated data across hundreds of authorities hinders effective CL risk management.
  • Existing data variations in format, type, access, and quality complicate CL site management and regulatory oversight.

Purpose of the Study:

  • To highlight the challenges of non-integrated and non-standardized contaminated land data in England and Wales.
  • To propose innovative conceptual models for enhancing data integration, unification, simplification, and standardization.
  • To improve environmental communication and coordination among diverse stakeholders involved in contaminated land scenarios.

Main Methods:

  • Analysis of existing issues in contaminated land data management across UK local authorities.
  • Development of conceptual models for data integration and standardization.
  • Application of information matrices and Geographic Information Systems (GIS) in proposed models.

Main Results:

  • Identification of significant challenges in CL data management, including lack of standardization and integration.
  • Outlining of innovative models for data unification from local to national levels.
  • Conceptual models demonstrate potential for enhanced data management and stakeholder communication.

Conclusions:

  • Unification and standardization of CL data are crucial for effective risk management.
  • Proposed information matrix and GIS models offer a pathway to integrated data systems.
  • Enhanced data management will improve coordination among regulators, consultants, developers, and reclamation specialists.