Skip to main content

Natural Disasters


A natural disaster is a catastrophic event caused by natural processes of the Earth that results in significant loss of life, property, and environmental resources.

  • It occurs when a hazard (potentially damaging physical event) interacts with a vulnerable population and leads to disruption of normal life.

  • Key terms:

    • Hazard → A potential natural event (e.g., cyclone, earthquake).

    • Disaster → When the hazard causes widespread damage due to vulnerability.

    • Risk → Probability of harmful consequences from interaction of hazard and vulnerability.

    • Vulnerability → Degree to which a community or system is exposed and unable to cope with the hazard.

    • Resilience → Ability of a system or society to recover from the disaster impact.

๐Ÿ‘‰ Example: An earthquake in an uninhabited desert is a hazard, but not a disaster unless people or infrastructure are affected.

Types

Natural disasters can be classified into geophysical, hydrological, meteorological, climatological, biological, and extraterrestrial categories.

A. Geophysical Disasters (Earth-originated processes)

  1. Earthquakes

    • Sudden release of energy along a fault line due to tectonic plate movement.

    • Measured using Richter Scale (magnitude) and Mercalli Intensity Scale (impact).

    • Example: 2001 Bhuj Earthquake (India).

  2. Volcanic Eruptions

    • Emission of magma, gases, and ash through the crust.

    • Types: Effusive (lava flow) and Explosive (pyroclastic flow).

    • Example: Mount Vesuvius (Italy), Mount St. Helens (USA).

  3. Tsunami

    • Series of giant ocean waves triggered by undersea earthquakes, volcanic eruptions, or landslides.

    • Example: 2004 Indian Ocean Tsunami.

B. Hydrological Disasters (Water-related)

  1. Floods

    • Overflow of water onto normally dry land.

    • Types: Riverine floods, flash floods, coastal floods.

    • Example: 2018 Kerala Floods.

  2. Landslides

    • Downward movement of soil, rock, and debris along slopes under gravity.

    • Triggered by rainfall, earthquakes, deforestation.

    • Example: Wayanad landslides (2024).

C. Meteorological Disasters (Atmospheric processes)

  1. Cyclones / Hurricanes / Typhoons

    • Intense low-pressure systems over tropical oceans with spiraling winds and heavy rainfall.

    • Known as: Cyclone (Indian Ocean), Hurricane (Atlantic), Typhoon (Pacific).

    • Example: Cyclone Amphan (2020, India).

  2. Storms and Tornadoes

    • Violent winds, often localized, with rotational movement.

    • Tornado intensity measured by the Enhanced Fujita Scale (EF-Scale).

D. Climatological Disasters (Long-term weather patterns)

  1. Droughts

    • Prolonged shortage of water due to below-average rainfall.

    • Types: Meteorological, Hydrological, Agricultural, and Socio-economic drought.

    • Example: Marathwada droughts, Maharashtra.

  2. Wildfires (Forest Fires)

    • Uncontrolled burning of vegetation due to heat, drought, or human negligence.

    • Example: Amazon Rainforest fires, California wildfires.

E. Biological Disasters

  • Caused by exposure to pathogens or vectors.

  • Examples:

    • Epidemics (Cholera, Malaria).

    • Pandemics (COVID-19).

    • Insect infestations (Locust swarms in East Africa, 2020).

F. Extraterrestrial Disasters

  • Rare, caused by cosmic events.

  • Examples:

    • Meteorite impacts (Chicxulub impact that caused dinosaur extinction ~65 million years ago).

    • Solar flares (geomagnetic storms affecting satellites and power grids).

3. Key Facts

  • According to UNDRR (United Nations Office for Disaster Risk Reduction), global disasters have increased due to climate change, urbanization, and population density.

  • India is one of the most disaster-prone countries:

    • 60% area prone to earthquakes,

    • 12% land to floods,

    • 8% to cyclones,

    • 15% to droughts.


A natural disaster is the result of interaction between a natural hazard and human vulnerability. They can be geophysical, hydrological, meteorological, climatological, biological, or extraterrestrial in nature, with varying impacts on society, economy, and environment. Understanding these types with their causes, characteristics, and examples is essential for risk assessment, mitigation, and disaster management.


Comments

Popular posts from this blog

Platforms in Remote Sensing

In remote sensing, a platform is the physical structure or vehicle that carries a sensor (camera, scanner, radar, etc.) to observe and collect information about the Earth's surface. Platforms are classified mainly by their altitude and mobility : Ground-Based Platforms Definition : Sensors mounted on the Earth's surface or very close to it. Examples : Tripods, towers, ground vehicles, handheld instruments. Applications : Calibration and validation of satellite data Detailed local studies (e.g., soil properties, vegetation health, air quality) Strength : High spatial detail but limited coverage. Airborne Platforms Definition : Sensors carried by aircraft, balloons, or drones (UAVs). Altitude : A few hundred meters to ~20 km. Examples : Airplanes with multispectral scanners UAVs with high-resolution cameras or LiDAR High-altitude balloons (stratospheric platforms) Applications : Local-to-regional mapping ...

Optical Sensors in Remote Sensing

1. What Are Optical Sensors? Optical sensors are remote sensing instruments that detect solar radiation reflected or emitted from the Earth's surface in specific portions of the electromagnetic spectrum (EMS) . They mainly work in: Visible region (0.4–0.7 ยตm) Near-Infrared – NIR (0.7–1.3 ยตm) Shortwave Infrared – SWIR (1.3–3.0 ยตm) Thermal Infrared – TIR (8–14 ยตm) — emitted energy, not reflected Optical sensors capture spectral signatures of surface features. Each object reflects/absorbs energy differently, creating a unique spectral response pattern . a) Electromagnetic Spectrum (EMS) The continuous range of wavelengths. Optical sensing uses solar reflective bands and sometimes thermal bands . b) Spectral Signature The unique pattern of reflectance or absorbance of an object across wavelengths. Example: Vegetation reflects strongly in NIR Water absorbs strongly in NIR and SWIR (appears dark) c) Radiance and Reflectance Radi...

Types of Remote Sensing

Remote Sensing means collecting information about the Earth's surface without touching it , usually using satellites, aircraft, or drones . There are different types of remote sensing based on the energy source and the wavelength region used. ๐Ÿ›ฐ️ 1. Active Remote Sensing ๐Ÿ“˜ Concept: In active remote sensing , the sensor sends out its own energy (like a signal or pulse) to the Earth's surface. The sensor then records the reflected or backscattered energy that comes back from the surface. ⚙️ Key Terminology: Transmitter: sends energy (like a radar pulse or laser beam). Receiver: detects the energy that bounces back. Backscatter: energy that is reflected back to the sensor. ๐Ÿ“Š Examples of Active Sensors: RADAR (Radio Detection and Ranging): Uses microwave signals to detect surface roughness, soil moisture, or ocean waves. LiDAR (Light Detection and Ranging): Uses laser light (near-infrared) to measure elevation, vegetation...

Resolution of Sensors in Remote Sensing

Spatial Resolution ๐Ÿ—บ️ Definition : The smallest size of an object on the ground that a sensor can detect. Measured as : The size of a pixel on the ground (in meters). Example : Landsat → 30 m (each pixel = 30 × 30 m on Earth). WorldView-3 → 0.31 m (very detailed, you can see cars). Fact : Higher spatial resolution = finer details, but smaller coverage. Spectral Resolution ๐ŸŒˆ Definition : The ability of a sensor to capture information in different parts (bands) of the electromagnetic spectrum . Measured as : The number and width of spectral bands. Types : Panchromatic (1 broad band, e.g., black & white image). Multispectral (several broad bands, e.g., Landsat with 7–13 bands). Hyperspectral (hundreds of very narrow bands, e.g., AVIRIS). Fact : Higher spectral resolution = better identification of materials (e.g., minerals, vegetation types). Radiometric Resolution ๐Ÿ“Š Definition : The ability of a sensor to ...

Radar Sensors in Remote Sensing

Radar sensors are active remote sensing instruments that use microwave radiation to detect and measure Earth's surface features. They transmit their own energy (radio waves) toward the Earth and record the backscattered signal that returns to the sensor. Since they do not depend on sunlight, radar systems can collect data: day or night through clouds, fog, smoke, and rain in all weather conditions This makes radar extremely useful for Earth observation. 1. Active Sensor A radar sensor produces and transmits its own microwaves. This is different from optical and thermal sensors, which depend on sunlight or emitted heat. 2. Microwave Region Radar operates in the microwave region of the electromagnetic spectrum , typically from 1 mm to 1 m wavelength. Common radar frequency bands: P-band (70 cm) L-band (23 cm) S-band (9 cm) C-band (5.6 cm) X-band (3 cm) Each band penetrates and interacts with surfaces differently: Lo...