UPSC MainsGENERAL-STUDIES-PAPER-III201915 Marks250 Words
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Q18.

Disaster preparedness is the first step in any disaster management process. Explain how hazard zonation mapping will help disaster mitigation in the case of landslides.

How to Approach

This question requires a focused answer on how hazard zonation mapping aids landslide mitigation. The approach should begin by defining disaster preparedness and hazard zonation mapping. Then, elaborate on the process of creating these maps, the data used, and how they inform mitigation strategies. Specific examples of successful implementation and challenges faced should be included. The answer should demonstrate an understanding of the interplay between geography, technology, and disaster management. Structure: Introduction, Mapping Process & Data, Mitigation Strategies, Challenges, Conclusion.

Model Answer

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Introduction

Disaster preparedness, encompassing measures taken to minimize the effects of disasters, is the cornerstone of effective disaster management. Landslides, a common geological hazard in the Himalayan and Western Ghats regions of India, pose significant threats to life and infrastructure. Hazard zonation mapping (HZM) is a crucial component of disaster preparedness, providing a spatial representation of potential landslide susceptibility. This proactive approach, based on scientific assessment of terrain and historical data, allows for informed land-use planning and targeted mitigation efforts, reducing vulnerability and enhancing resilience. Recent landslides in Himachal Pradesh (2023) underscore the urgent need for robust HZM and its effective implementation.

Understanding Hazard Zonation Mapping

Hazard zonation mapping is a process of dividing an area into different zones based on the level of potential hazard. In the context of landslides, these zones represent varying degrees of susceptibility – from negligible to very high. The process involves a multi-disciplinary approach integrating geological, geomorphological, hydrological, and meteorological data.

Mapping Process and Data Utilisation

The creation of landslide hazard zonation maps typically follows these steps:

  • Data Collection: This includes topographical maps, geological maps, land use/land cover data (from remote sensing – e.g., Landsat, Sentinel), rainfall data, slope angles, soil types, drainage patterns, and historical landslide inventories.
  • Factor Weighting: Each factor influencing landslide susceptibility is assigned a weight based on its relative importance. This is often done using analytical hierarchy process (AHP) or similar multi-criteria decision-making techniques.
  • Spatial Analysis: Geographic Information Systems (GIS) are used to overlay and analyze the different layers of data, creating a composite map showing landslide susceptibility.
  • Validation: The map is validated using field observations and historical landslide data to assess its accuracy.

Mitigation Strategies Informed by HZM

Hazard zonation maps are instrumental in guiding various mitigation strategies:

  • Land-Use Planning: Restricting construction in high-hazard zones, promoting appropriate land use practices (e.g., afforestation, terracing) in moderately susceptible areas.
  • Infrastructure Development: Designing infrastructure (roads, buildings, dams) to withstand potential landslide forces, or avoiding construction in high-risk areas altogether.
  • Early Warning Systems: Identifying areas requiring real-time monitoring and establishing early warning systems based on rainfall thresholds and slope movement detection.
  • Bioengineering Measures: Implementing slope stabilization techniques like retaining walls, drainage improvements, and vegetation cover to reduce erosion and landslide risk.

Examples of Successful Implementation

Japan: Japan, prone to frequent landslides, has a highly developed HZM system integrated with its land-use planning regulations. This has significantly reduced landslide-related casualties. Hong Kong: Hong Kong’s slope stability system, developed after a major landslide in 1972, utilizes detailed HZM and rigorous slope maintenance programs.

Challenges in Implementation

Despite its benefits, implementing HZM faces several challenges:

  • Data Availability & Quality: Lack of comprehensive and accurate data, particularly in remote areas.
  • Scale & Resolution: Maps often lack sufficient resolution for local-level planning.
  • Dynamic Nature of Landslides: Landslide susceptibility can change over time due to factors like rainfall patterns and deforestation.
  • Enforcement of Regulations: Weak enforcement of land-use regulations in high-hazard zones.
  • Community Awareness: Limited awareness among local communities about landslide risks and mitigation measures.

The National Disaster Management Authority (NDMA) has issued guidelines for landslide risk management, emphasizing the importance of HZM. However, its effective implementation requires greater coordination between various agencies and increased investment in data collection and monitoring.

Conclusion

Disaster preparedness, particularly through hazard zonation mapping, is paramount in mitigating landslide risks. While technological advancements in GIS and remote sensing offer powerful tools for creating accurate and detailed maps, their effectiveness hinges on robust data collection, rigorous validation, and, crucially, effective implementation of land-use regulations and community awareness programs. A holistic and proactive approach, integrating scientific knowledge with local context, is essential for building resilient communities and minimizing the devastating impacts of landslides in vulnerable regions.

Answer Length

This is a comprehensive model answer for learning purposes and may exceed the word limit. In the exam, always adhere to the prescribed word count.

Additional Resources

Key Definitions

Hazard Zonation
The process of dividing land into zones based on the potential severity of natural hazards, such as landslides, earthquakes, or floods.
Analytical Hierarchy Process (AHP)
A structured technique for organizing and analyzing complex decisions, based on mathematical models. It is often used in hazard zonation mapping to assign weights to different influencing factors.

Key Statistics

Approximately 15% of India’s land area is prone to landslides (Source: National Disaster Management Authority, NDMA, 2019).

Source: NDMA Report, 2019

Economic losses due to landslides in India are estimated to be around ₹6000 crore annually (as of 2020).

Source: World Bank Report, 2020 (Knowledge Cutoff)

Examples

Malin Landslide (2014)

The Malin landslide in Maharashtra (2014), which claimed over 150 lives, highlighted the lack of proper hazard zonation and land-use planning in landslide-prone areas. The village was located in a high-risk zone, but construction was not restricted.

Frequently Asked Questions

Can hazard zonation maps completely prevent landslides?

No, hazard zonation maps cannot prevent landslides entirely. They are a tool for risk assessment and mitigation, helping to reduce vulnerability and minimize potential damage. Landslides are natural phenomena, and complete prevention is often impossible.

Topics Covered

GeographyDisaster ManagementLandslidesDisaster MitigationRisk Assessment