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

RADIOMETRIC CORRECTION

  Radiometric correction is the process of removing sensor and environmental errors from satellite images so that the measured brightness values (Digital Numbers or DNs) truly represent the Earth's surface reflectance or radiance. In other words, it corrects for sensor defects, illumination differences, and atmospheric effects. 1. Detector Response Calibration Satellite sensors use multiple detectors to scan the Earth's surface. Sometimes, each detector responds slightly differently, causing distortions in the image. Calibration adjusts all detectors to respond uniformly. This includes: (a) De-Striping Problem: Sometimes images show light and dark vertical or horizontal stripes (banding). Caused by one or more detectors drifting away from their normal calibration — they record higher or lower values than others. Common in early Landsat MSS data. Effect: Every few lines (e.g., every 6th line) appear consistently brighter or darker. Soluti...
Post a Comment
Read more

Atmospheric Correction

It is the process of removing the influence of the atmosphere from remotely sensed images so that the data accurately represent the true reflectance of Earth's surface . When a satellite sensor captures an image, the radiation reaching the sensor is affected by gases, water vapor, aerosols, and dust in the atmosphere. These factors scatter and absorb light, changing the brightness and color of the features seen in the image. Although these atmospheric effects are part of the recorded signal, they can distort surface reflectance values , especially when images are compared across different dates or sensors . Therefore, corrections are necessary to make data consistent and physically meaningful. 🔹 Why Do We Need Atmospheric Correction? To retrieve true surface reflectance – It separates the surface signal from atmospheric influence. To ensure comparability – Enables comparing images from different times, seasons, or sensors. To improve visual quality – Remo...
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

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...
Post a Comment
Read more

Hazard Mapping Spatial Planning Evacuation Planning GIS

Geographic Information Systems (GIS) play a pivotal role in disaster management by providing the tools and frameworks necessary for effective hazard mapping, spatial planning, and evacuation planning. These concepts are integral for understanding disaster risks, preparing for potential hazards, and ensuring that resources are efficiently allocated during and after a disaster. 1. Hazard Mapping: Concept: Hazard mapping involves the process of identifying, assessing, and visually representing the geographical areas that are at risk of certain natural or human-made hazards. Hazard maps display the probability, intensity, and potential impact of specific hazards (e.g., floods, earthquakes, hurricanes, landslides) within a given area. Terminologies: Hazard Zone: An area identified as being vulnerable to a particular hazard (e.g., flood zones, seismic zones). Hazard Risk: The likelihood of a disaster occurring in a specific location, influenced by factors like geography, climate, an...
Post a Comment
Read more