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Data-driven environmental clearances are indispensable for ecological sustainability”. Explain. How can science-based assessments strengthen India’s clearance process?

Kartavya Desk Staff

Topic: Conservation, environmental pollution and degradation, environmental impact assessment

Topic: Conservation, environmental pollution and degradation, environmental impact assessment

Q6. Data-driven environmental clearances are indispensable for ecological sustainability”. Explain. How can science-based assessments strengthen India’s clearance process? (10 M)

Difficulty Level: Medium

Reference: DTE

Why the question In light of the 2025 Supreme Court ruling on sand mining and the larger debate on strengthening India’s environmental clearance process with scientific data and monitoring. Key Demand of the question You need to explain why data-driven environmental clearances are essential for sustainability, and then show how science-based tools and assessments can strengthen transparency, monitoring, and compliance in India’s clearance regime. Structure of the Answer: Introduction Briefly define the role of environmental clearances and the need for scientific data in decision-making. Body Significance of data-driven clearances – accountability, climate resilience, transparency, ecological safeguards. How science-based assessments strengthen process – hydrological modelling, GIS/remote sensing, independent appraisal, continuous monitoring, integration of community knowledge. Conclusion End with a forward-looking remark on institutionalising data-backed clearances for sustainable growth.

Why the question In light of the 2025 Supreme Court ruling on sand mining and the larger debate on strengthening India’s environmental clearance process with scientific data and monitoring.

Key Demand of the question You need to explain why data-driven environmental clearances are essential for sustainability, and then show how science-based tools and assessments can strengthen transparency, monitoring, and compliance in India’s clearance regime.

Structure of the Answer: Introduction

Briefly define the role of environmental clearances and the need for scientific data in decision-making.

Significance of data-driven clearances – accountability, climate resilience, transparency, ecological safeguards.

How science-based assessments strengthen process – hydrological modelling, GIS/remote sensing, independent appraisal, continuous monitoring, integration of community knowledge.

Conclusion

End with a forward-looking remark on institutionalising data-backed clearances for sustainable growth.

AI-assisted content, editorially reviewed by Kartavya Desk Staff.

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Articles in our archive published before our editorial team was expanded. Legacy content is periodically reviewed and updated by our current editors.

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