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Related Concept Videos

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

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...
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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...
Manipulation and Analysis01:21

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
Levels of Use of a GIS01:29

Levels of Use of a GIS

Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
Microbial Biosensors01:17

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...

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Related Experiment Video

Updated: May 15, 2026

Combining Fluidic Devices with Microscopy and Flow Cytometry to Study Microbial Transport in Porous Media Across Spatial Scales
12:32

Combining Fluidic Devices with Microscopy and Flow Cytometry to Study Microbial Transport in Porous Media Across Spatial Scales

Published on: November 25, 2020

Predicting the microbial exposure risks in urban floods using GIS, building simulation, and microbial models.

Jonathon Taylor1, Phillip Biddulph, Michael Davies

  • 1The Bartlett School of Graduate Studies, UCL, London, United Kingdom. j.g.taylor@ucl.ac.uk

Environment International
|December 26, 2012
PubMed
Summary

Intense rainfall and tidal surges in London increase flood risk. Flooded buildings can harbor microbial growth, with South and East London showing particular vulnerability to long-term exposure.

More Related Videos

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Related Experiment Videos

Last Updated: May 15, 2026

Combining Fluidic Devices with Microscopy and Flow Cytometry to Study Microbial Transport in Porous Media Across Spatial Scales
12:32

Combining Fluidic Devices with Microscopy and Flow Cytometry to Study Microbial Transport in Porous Media Across Spatial Scales

Published on: November 25, 2020

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Area of Science:

  • Environmental science
  • Building physics
  • Public health

Background:

  • London faces increased flood risk from intense rainfall and tidal surges.
  • Damp, flooded buildings promote microbial growth and pathogen persistence.
  • Building characteristics influence drying times and mold risk after floods.

Purpose of the Study:

  • To simulate the drying rates of various building archetypes in London after flooding.
  • To assess the spatial risk of microbial exposure across London using GIS mapping.
  • To identify areas particularly vulnerable to long-term dampness and pathogen growth.

Main Methods:

  • Utilized Heat Air and Moisture (HAM) modeling with the UCL-HAMT tool, based on EnergyPlus.
  • Simulated drying processes for representative English building stock archetypes.
  • Mapped simulation results using Geographic Information System (GIS) for spatial risk assessment.

Main Results:

  • Drying rates varied significantly based on building archetype, flood height, and season.
  • South and East London identified as particularly vulnerable to prolonged dampness.
  • GIS mapping provided a comparative flood vulnerability assessment across London.

Conclusions:

  • Building archetypes and flood characteristics critically affect post-flood drying times and microbial risk.
  • Specific areas in London exhibit heightened vulnerability to persistent dampness and associated health risks.
  • The study provides a framework for understanding and mitigating flood-related health hazards in urban environments.