Skip to main content

Geography of Tsunami


A tsunami is a series of large ocean waves caused by disturbances such as underwater earthquakes, volcanic eruptions, landslides, or meteorite impacts. These waves travel across ocean basins with immense speed and energy, affecting coastal regions worldwide. Understanding the geography of tsunamis involves analyzing their origin, propagation, impact zones, and mitigation strategies.


1. Causes and Geophysical Processes

A. Tectonic Plate Movements (Seismic Tsunamis)

  • The most common cause of tsunamis is underwater earthquakes occurring along subduction zones, where one tectonic plate is forced under another.
  • When stress is released, the seabed shifts vertically, displacing a large volume of water, generating tsunami waves.
  • Example: The 2004 Indian Ocean Tsunami was triggered by a 9.1-magnitude earthquake off the coast of Sumatra, Indonesia.

B. Volcanic Eruptions (Volcanogenic Tsunamis)

  • Underwater or coastal volcanoes can cause tsunamis when they erupt violently, collapse, or generate pyroclastic flows into the ocean.
  • Example: The 1883 Krakatoa eruption in Indonesia created a tsunami that reached over 40 meters, destroying coastal villages.

2. Propagation and Wave Dynamics

A. Deep-Ocean Characteristics

  • Tsunami waves can travel at speeds of 500-800 km/h in deep water with a small wave height (few centimeters to a meter).
  • Unlike wind-generated waves, tsunami waves have extremely long wavelengths (over 100 km) and low amplitude.

B. Coastal Amplification (Shoaling Effect)

  • As tsunamis approach shallow coastal waters, their speed decreases, but their height increases due to wave compression.
  • The process is called wave shoaling, where the wavelength shortens, and wave height can exceed 30 meters.

C. Wave Types

  1. Drawback Effect: In some tsunamis, the waterline recedes dramatically before the wave strikes.
  2. Multiple Waves: Tsunamis often arrive as a series of waves, with the second or third being the largest.

3. Geographic Impact and Vulnerability

A. High-Risk Regions (Tsunami-Prone Areas)

  • Pacific Ring of Fire: Subduction zones around the Pacific Ocean (Japan, Chile, Alaska, Indonesia).
  • Indian Ocean: Sunda Trench and Andaman-Sumatra region (2004 Tsunami).
  • Mediterranean and Caribbean: Due to tectonic activity and volcanic presence.

B. Coastal Geography and Risk Factors

  • Low-lying areas: Countries like Bangladesh, Maldives, and Florida are highly vulnerable due to their low elevation.
  • Narrow bays and inlets: These can focus tsunami energy, increasing wave height (e.g., Hilo Bay, Hawaii).

4. Tsunami Warning Systems and Mitigation

A. Early Warning Systems

  • Pacific Tsunami Warning Center (PTWC): Monitors seismic and ocean data.
  • Tsunameters (DART buoys): Measure pressure changes in the deep ocean to detect tsunamis.

B. Coastal Defenses and Preparedness

  • Mangrove forests and coral reefs: Reduce wave energy.
  • Sea walls and breakwaters: Help protect coastal cities.
  • Evacuation plans and drills: Countries like Japan have extensive tsunami drills.

Major Tsunamis

  1. 2004 Indian Ocean Tsunami

    • Magnitude: 9.1 earthquake
    • Countries affected: Indonesia, Sri Lanka, India, Thailand
    • Casualties: ~230,000 deaths
  2. 2011 Tōhoku Tsunami (Japan)

    • Magnitude: 9.0 earthquake
    • Wave height: 40 meters
    • Nuclear disaster: Fukushima Daiichi power plant affected
  3. 1960 Chile Tsunami

    • Magnitude: 9.5 earthquake (strongest ever recorded)
    • Waves traveled across the Pacific, reaching Japan and Hawaii.

Comments

Popular posts from this blog

History of GIS

1. 1832 - Early Spatial Analysis in Epidemiology:    - Charles Picquet creates a map in Paris detailing cholera deaths per 1,000 inhabitants.    - Utilizes halftone color gradients for visual representation. 2. 1854 - John Snow's Cholera Outbreak Analysis:    - Epidemiologist John Snow identifies cholera outbreak source in London using spatial analysis.    - Maps casualties' residences and nearby water sources to pinpoint the outbreak's origin. 3. Early 20th Century - Photozincography and Layered Mapping:    - Photozincography development allows maps to be split into layers for vegetation, water, etc.    - Introduction of layers, later a key feature in GIS, for separate printing plates. 4. Mid-20th Century - Computer Facilitation of Cartography:    - Waldo Tobler's 1959 publication details using computers for cartography.    - Computer hardware development, driven by nuclear weapon research, leads to broader mapping applications by early 1960s. 5. 1960 - Canada Geograph...

Accuracy Assessment

Accuracy assessment is the process of checking how correct your classified satellite image is . 👉 After supervised classification, the satellite image is divided into classes like: Water Forest Agriculture Built-up land Barren land But classification is done using computer algorithms, so some areas may be wrongly classified . 👉 Accuracy assessment helps to answer this question: ✔ "How much of my classified map is correct compared to real ground conditions?"  Goal The main goal is to: Measure reliability of classified maps Identify classification errors Improve classification results Provide scientific validity to research 👉 Without accuracy assessment, a classified map is not considered scientifically reliable . Reference Data (Ground Truth Data) Reference data is real-world information used to check classification accuracy. It can be collected from: ✔ Field survey using GPS ✔ High-resolution satellite images (Google Earth etc.) ✔ Existing maps or survey reports 🧭 Exampl...

Supervised Classification

Image Classification in Remote Sensing Image classification in remote sensing involves categorizing pixels in an image into thematic classes to produce a map. This process is essential for land use and land cover mapping, environmental studies, and resource management. The two primary methods for classification are Supervised and Unsupervised Classification . Here's a breakdown of these methods and the key stages of image classification. 1. Types of Classification Supervised Classification In supervised classification, the analyst manually defines classes of interest (known as information classes ), such as "water," "urban," or "vegetation," and identifies training areas —sections of the image that are representative of these classes. Using these training areas, the algorithm learns the spectral characteristics of each class and applies them to classify the entire image. When to Use Supervised Classification:   - You have prior knowledge about the c...

Development and scope of Environmental Geography and Recent concepts in environmental Geography

Environmental Geography studies the relationship between humans and nature in a spatial (place-based) way. It combines Physical Geography (natural processes) and Human Geography (human activities). A. Early Stage 🔹 Environmental Determinism Concept: Nature controls human life. Meaning: Climate, landforms, and soil decide how people live. Example: People in deserts (like Sahara Desert) live differently from people in fertile river valleys. 🔹 Possibilism Concept: Humans can modify nature. Meaning: Environment gives options, but humans make choices. Example: In dry areas like Rajasthan, people use irrigation to grow crops. 👉 In this stage, geography was mostly descriptive (explaining what exists). B. Evolution Stage (Mid-20th Century) Environmental problems increased due to: Industrialization Urbanization Deforestation Pollution Geographers started studying: Environmental degradation Resource management Human impact on ecosystems The field became analytical and problem-solving...

GIS: Real World and Representations - Modeling and Maps

Geographic Information Systems (GIS) serve as a bridge between the real world and digital representations of geographic phenomena. These representations allow users to store, analyze, and visualize spatial data for informed decision-making. Two key aspects of GIS in this context are modeling and maps , both of which are used to represent real-world geographic features and phenomena in a structured, analyzable format. Let's delve into these concepts, terminologies, and examples in detail. 1. Real World and Representations in GIS Concept: The real world comprises physical, tangible phenomena, such as landforms, rivers, cities, and infrastructure, as well as more abstract elements like weather patterns, population densities, and traffic flow. GIS allows us to represent these real-world phenomena digitally, enabling spatial analysis, decision-making, and visualization. The representation of the real world in GIS is achieved through various models and maps , which simplify...