Skip to main content

Disaster Management policy and institutions in India


India's disaster management framework is anchored by two key components: the Disaster Management Act, 2005 and the National Disaster Management Policy. Together, they aim to build a robust system for disaster preparedness, mitigation, response, and recovery. Below is a detailed breakdown of each.

Disaster Management Act, 2005

The Disaster Management Act, 2005 was a landmark legislation that institutionalized disaster management across various government levels in India, creating a structured approach and legal basis for disaster risk reduction. Key aspects include:

1. Terminologies and Definitions

  • Disaster: A catastrophic event—natural or human-made—leading to widespread loss and disruption, affecting a large population.
  • Disaster Management: Comprehensive planning, preparedness, response, recovery, and mitigation activities aimed at reducing disaster risk and enhancing resilience.
  • Mitigation: Actions taken to minimize the adverse effects of disasters, often by reducing exposure to hazards.
  • Response: Immediate actions during and after a disaster to protect life, property, and infrastructure.

2. Institutional Structure

  • National Disaster Management Authority (NDMA): Chaired by the Prime Minister, the NDMA is the apex body for disaster management in India. It formulates policies, approves national plans, and coordinates responses.
  • State Disaster Management Authority (SDMA): Each state has its own SDMA led by the Chief Minister. SDMAs develop state-level disaster management plans and ensure their implementation.
  • District Disaster Management Authority (DDMA): Headed by the District Collector, the DDMA operates at the district level, focusing on local disaster management and implementation of district plans.
  • National Executive Committee (NEC): NEC supports NDMA by ensuring the preparation and execution of national disaster management plans and coordinating responses during emergencies.

3. Planning and Policy Framework

  • National Plan: Mandated by the act, the National Plan outlines policies for disaster prevention, preparedness, and response. It is reviewed and updated periodically to adapt to emerging risks.
  • State Plans and District Plans: Each state and district has tailored plans for localized risk assessment and disaster management. These plans are aligned with the National Plan, ensuring a cohesive response across levels.

4. Funding Mechanisms

  • National Disaster Response Fund (NDRF): Allocates funds for immediate relief following disasters.
  • State Disaster Response Fund (SDRF): Primary fund at the state level for emergency relief and response measures.
  • National Disaster Mitigation Fund: Designed for proactive mitigation activities and building resilience.

5. Enforcement and Accountability

  • The act includes penalties for obstruction of disaster management efforts or non-compliance with directives. This ensures accountability at all levels and promotes active cooperation during crises.

6. Capacity Building and Training

  • Training first responders and communities in disaster response and preparedness is a key aspect. The National Institute of Disaster Management (NIDM) was established to conduct training and research on disaster risk reduction.

National Disaster Management Policy

The National Disaster Management Policy complements the act by establishing principles, goals, and guidelines to create a disaster-resilient India. The policy is centered on a proactive and participatory approach, prioritizing mitigation, preparedness, and community involvement.

1. Core Principles and Goals

  • Prevention and Mitigation: The policy advocates for risk reduction strategies that prevent or minimize disaster impacts, such as building codes for earthquake-resistant structures or zoning regulations for flood-prone areas.
  • Preparedness: Includes developing early warning systems, stockpiling resources, conducting drills, and raising public awareness to improve readiness.
  • Integrated Approach: Disaster risk management is integrated into development policies across sectors like infrastructure, health, and agriculture.

2. Community-Based Disaster Management (CBDM)

  • CBDM focuses on empowering local communities through training, awareness campaigns, and local planning. Since communities are often the first responders, they play a critical role in disaster response and recovery.

3. Risk Identification and Assessment

  • Hazard Vulnerability and Risk Assessment (HVRA): The NDMP requires a systematic assessment of hazards, exposure, and vulnerabilities to identify high-risk zones and prioritize resource allocation.
  • Early Warning Systems: The policy advocates for effective and reliable early warning systems, especially for floods, cyclones, and tsunamis. The India Meteorological Department (IMD) and the National Centre for Seismology are critical agencies in issuing such warnings.

4. Response and Relief Measures

  • The policy outlines a standardized protocol for disaster response, including search and rescue operations, medical aid, relief distribution, and temporary shelter provision. Incident Response Teams (IRTs) and Quick Reaction Teams (QRTs) are deployed to provide immediate assistance.
  • Public-Private Partnerships (PPP): Collaborations with private companies and NGOs are encouraged to enhance resource availability and technical expertise during emergencies.

5. Technology and Innovation in Disaster Management

  • The NDMP promotes using GIS, satellite imagery, and drones for monitoring, assessment, and mapping of risk zones.
  • India's National Database for Emergency Management (NDEM) uses GIS technology to create detailed maps of vulnerable regions and track real-time disaster situations.

6. Disaster Risk Reduction (DRR) Integration into Development

  • Mainstreaming DRR: Policies and regulations integrate DRR measures in development projects. This ensures that infrastructure, housing, and urban planning incorporate risk reduction.
  • Sustainable Development Goals (SDGs): The NDMP aligns with SDGs, emphasizing goals related to climate action, sustainable cities, and resilient infrastructure.

7. Research, Knowledge Sharing, and Training

  • National Institute of Disaster Management (NIDM) and other research institutions are tasked with promoting research on disaster resilience and creating training programs for officials, responders, and communities.

8. International Cooperation

  • The policy encourages collaboration with global agencies, such as the United Nations Office for Disaster Risk Reduction (UNDRR), and bilateral cooperation for technology sharing, capacity building, and resource mobilization.

Concepts and Emerging Issues in Disaster Management

  1. Resilience and Climate Change Adaptation: India's disaster policy incorporates climate change adaptation as a core concept. With the increasing frequency of climate-induced disasters, resilience-building is prioritized in both policy and practice.
  2. Sendai Framework for Disaster Risk Reduction (SFDRR): India aligns its policy with the SFDRR 2015-2030, a global framework that focuses on reducing disaster risk through preventive action and improving response capabilities.
  3. Multi-Hazard Approach: Recognizing the interconnectedness of various hazards (earthquakes, floods, droughts), the NDMP promotes a multi-hazard approach, ensuring that the preparedness and response efforts are comprehensive and not restricted to a single type of hazard.
  4. Social Vulnerability and Gender Sensitivity: The policy acknowledges that certain populations, such as women, children, elderly, and persons with disabilities, are more vulnerable to disasters. Special measures and inclusivity are promoted in all disaster management activities.

In summary, India's disaster management framework under the Disaster Management Act, 2005 and the National Disaster Management Policy is comprehensive and multi-dimensional, focusing on prevention, preparedness, response, and recovery. Through structured institutions, community engagement, and technological integration, it aims to create a resilient society capable of withstanding and recovering from disasters.


Disaster Management fyugp note 

PG and Research Department of Geography,
Government College Chittur, Palakkad
https://g.page/vineeshvc

Comments

Post a Comment

Popular posts from this blog

Radar Remote Sensing SAR

1. Radar and Radar Remote Sensing RADAR stands for Radio Detection and Ranging . It is an active remote sensing system that transmits microwave energy toward the Earth's surface and records the energy that is returned to the sensor as an echo or backscatter . Unlike passive optical remote sensing, radar does not depend on sunlight. Therefore, it can operate day and night and, at suitable wavelengths, can acquire data through clouds, haze and light rain. Hence, radar is widely described as an all-weather, day-and-night remote sensing technology . Basic principle Microwave pulse → transmission → interaction with surface → backscatter/echo → antenna receives signal → signal processing → radar image 2. Microwave Energy Radar systems use microwave electromagnetic radiation , generally in wavelength ranges from approximately 1 mm to 1 m . Important radar bands include: Band Approx. wavelength Common applications ...
Post a Comment
Read more

Lidar

LiDAR (Light Detection and Ranging) is an active remote sensing technology that measures distances by illuminating a target with laser pulses and analyzing the time it takes for the reflected light to return. Unlike passive systems (e.g., cameras, multispectral sensors), LiDAR provides its own energy source (laser), allowing it to operate both day and night and even penetrate through vegetation canopies . 🔹 How LiDAR Works (Step-by-Step Process) Laser Pulse Emission The system emits rapid, short pulses of laser light (commonly in the near-infrared wavelength, 1064 nm ). Some systems emit up to hundreds of thousands of pulses per second . Interaction with Target Surface The laser beam strikes objects such as vegetation, buildings, or bare ground. Depending on the object's structure, part of the pulse may scatter or reflect. Return Signal Detection The sensor records multiple returns : First Return → typically vegetation canopy tops. ...
Post a Comment
Read more

Geometric Correction

When satellite or aerial images are captured, they often contain distortions (errors in shape, scale, or position) caused by many factors — like Earth's curvature, satellite motion, terrain height (relief), or the Earth's rotation . These distortions make the image not properly aligned with real-world coordinates (latitude and longitude). 👉 Geometric correction is the process of removing these distortions so that every pixel in the image correctly represents its location on the Earth's surface. After geometric correction, the image becomes geographically referenced and can be used with maps and GIS data. Types  1. Systematic Correction Systematic errors are predictable and can be modeled mathematically. They occur due to the geometry and movement of the satellite sensor or the Earth. Common systematic distortions: Scan skew – due to the motion of the sensor as it scans the Earth. Mirror velocity variation – scanning mirror moves at a va...
Post a Comment
Read more

Radar image. Polarization in Remote Sensing

L band radars operate on a wavelength of 15-30 cm and a frequency of 1-2 GHz. L band radars are mostly used for clear air turbulence studies. S band radars operate on a wavelength of 8-15 cm and a frequency of 2-4 GHz. Because of the wavelength and frequency, S band radars are not easily attenuated. . Polarization refers to the direction of travel of an electromagnetic wave vector's tip: vertical (up and down), horizontal (left to right), or  circular (rotating in a constant plane left or right). . a synthetic aperture radar (SAR) for high-resolution imaging. a radar altimeter, to measure the ocean topography. echo amplitude a wind scatterometer to measure wind speed and direction. Other types of radars have been flown for Earth observation missions: precipitation radars such as the  Tropical Rainfall Measuring Mission, or cloud radars like the one used on Cloudsat. . RISAT-1 (SAR, ISRO India, 2012) RORSAT (SAR, Soviet Union, 1967-1988) Seasat (SAR, altimeter, scatterometer, US, 19...
Post a Comment
Read more

Image Transformation

In remote sensing, image transformation is used to create new images by manipulating existing ones, enhancing the information extracted from each pixel. Multi-image manipulation and other transformations allow analysts to highlight specific features, compare time-series data, or reduce data dimensions for better interpretation. 1. Multi-Image Manipulation This technique involves applying mathematical operations to multiple images, typically from different bands, dates, or sensors, to highlight specific features or changes. Common methods include: a. Image Addition Purpose : Highlights areas of similarity or enhances features when the same objects appear in multiple images. How it Works : By adding pixel values from two images, the output image emphasizes areas where brightness is high in both. Example : Enhancing overall brightness or detecting seasonal changes by adding images from different times. b. Image Subtraction Purpose : Identifies differences between images, useful for chan...
Post a Comment
Read more