Skip to main content

Flood prone regions India

Floods are natural disasters characterized by the overflow of water onto normally dry land. Various factors contribute to floods, including intense rainfall, rapid snowmelt, storm surges from coastal storms, and the failure of dams or levees. The geographical explanation involves understanding the key components of flood-prone regions:


1. Proximity to Water Bodies:

   Flood-prone regions are often situated near rivers, lakes, or coastal areas. These locations are more susceptible to flooding as they are in close proximity to large water sources that can overflow during heavy precipitation or storms.


2. Topography:

   Low-lying areas with gentle slopes are prone to flooding. Water naturally flows to lower elevations, and flat terrains allow water to accumulate easily. Valleys and floodplains are common flood-prone areas due to their topographical characteristics.


3. Rainfall Patterns:

   Regions with high and concentrated rainfall are more likely to experience flooding. Intense and prolonged rainfall can saturate the soil, exceed the capacity of rivers, and lead to flash floods or riverine flooding.


4. Snowmelt:

   Areas with significant snow accumulation are susceptible to flooding during warmer seasons when the snow begins to melt rapidly. This can result in increased river flow and potential flooding downstream.


5. Storm Surges:

   Coastal regions are at risk of flooding due to storm surges caused by tropical cyclones or hurricanes. Strong winds push water toward the coast, causing a rise in sea level and inundating low-lying coastal areas.


6. Human Activities:

   Urbanization and human development can alter natural drainage systems. The construction of impermeable surfaces, such as pavement and buildings, reduces the land's ability to absorb water. Additionally, the filling of wetlands and alteration of river courses contribute to increased flood risks.


7. Infrastructure:

   The condition of dams, levees, and other water management structures plays a crucial role. Failures or breaches in these structures can lead to sudden and severe flooding.


Flood prone regions in India

1. Brahmaputra River Basin: This region is located in the northeastern part of India and spans across the states of Assam, Arunachal Pradesh, and parts of Meghalaya and Nagaland. The Brahmaputra River, originating from the Tibetan Plateau, carries a massive volume of water during the monsoon season. The river's flow is further augmented by heavy rainfall in the region and the rapid melting of snow in the Himalayas. The topography of the Brahmaputra basin includes vast floodplains and low-lying areas, which are prone to inundation when the river overflows its banks. Additionally, the Brahmaputra's tributaries, such as the Subansiri, Lohit, and Dibang, contribute to the flooding in the region.


2. Ganga-Brahmaputra-Meghna Delta: This deltaic region is formed by the confluence of the Ganga, Brahmaputra, and Meghna rivers, primarily in the Sundarbans area of West Bengal and Bangladesh. The delta is characterized by a network of distributaries, tidal channels, and mangrove forests. The low-lying topography and porous soil make the region highly susceptible to flooding, especially during high tides and cyclonic storms. The Sundarbans, the world's largest mangrove forest, acts as a buffer against storm surges but is also at risk of inundation during extreme events.


3. Eastern Uttar Pradesh and Bihar: These states are located in the northern part of India and are frequently affected by floods originating from rivers flowing down from the Himalayas, particularly those originating in Nepal. The Kosi River, known as the "Sorrow of Bihar," is notorious for its shifting course and devastating floods. The Gandak, Ghaghara, and other rivers also contribute to flooding in the region. The flat terrain and inadequate drainage exacerbate the impact of flooding, leading to loss of lives and damage to infrastructure and crops.


4. Western Uttar Pradesh and Punjab: These states are situated in the northwestern part of India and are affected by floods primarily caused by the overflowing of the Yamuna and Ganga rivers, along with their tributaries. The monsoon rains and melting snow from the Himalayas result in increased water levels in these rivers, leading to inundation of agricultural lands and urban areas. The flat terrain and extensive canal networks further compound the flooding issues in these regions.


5. Coastal Areas: Coastal regions of India, including states like Kerala, Tamil Nadu, Andhra Pradesh, and Odisha, face multiple flood threats. During the monsoon season, heavy rainfall can lead to riverine flooding in coastal plains. Additionally, cyclones originating in the Bay of Bengal or the Arabian Sea often make landfall in these regions, causing storm surges, intense rainfall, and coastal flooding. The low-lying topography and densely populated coastal settlements increase the vulnerability of these areas to flooding and associated hazards.


These geographical factors interact to create complex flood dynamics in different regions of India, necessitating comprehensive planning and management strategies to mitigate the impact of floods on human lives, infrastructure, and the environment.



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 ...

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...

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...

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 ...

geostationary and sun-synchronous

Orbital characteristics of Remote sensing satellite geostationary and sun-synchronous  Orbits in Remote Sensing Orbit = the path a satellite follows around the Earth. The orbit determines what part of Earth the satellite can see , how often it revisits , and what applications it is good for . Remote sensing satellites mainly use two standard orbits : Geostationary Orbit (GEO) Sun-Synchronous Orbit (SSO)  Geostationary Satellites (GEO) Characteristics Altitude : ~35,786 km above the equator. Period : 24 hours → same as Earth's rotation. Orbit type : Circular, directly above the equator . Appears "stationary" over one fixed point on Earth. Concepts & Terminologies Geosynchronous = orbit period matches Earth's rotation (24h). Geostationary = special type of geosynchronous orbit directly above equator → looks fixed. Continuous coverage : Can monitor the same area all the time. Applications Weather...