In a landmark judgment dated August 23, 2025, the Supreme Court of India, in Union Territory of J & K & Anr. v. Raja Muzaffar Bhat & Ors. (2025 LiveLaw (SC) 829), upheld the National Green Tribunal’s decision quashing environmental clearances for sand mining—finding the District Survey Reports (DSRs) fundamentally defective as they lacked the mandatory river replenishment study.
The two-judge bench comprising Justices P.S. Narasimha and A.S. Chandurkar held that without scientific data on a river’s natural recovery capacity, environmental clearance (EC) cannot be granted legally.
The Court clarified: just as sustainable forestry requires knowledge of tree growth rates before permitting logging, sand mining must be governed by comprehensive studies that ascertain whether a river’s sediment replenishment can keep pace with extraction.
It emphasised that sand mining without replenishment data endangers riverine ecology—widening channels, lowering riverbeds, eroding banks, and disrupting biodiversity across aquatic and floodplain zones.
In the matter before it, the State environmental authorities in Jammu & Kashmir granted EC based on a DSR that clearly lacked replenishment data. Even attempts to limit mining depth to one meter did not satisfy legal requirements. The Supreme Court found this approach illegitimate and reaffirmed that a DSR must include a proper replenishment report to be valid under existing legal frameworks, including the Sustainable Sand Mining Management Guidelines (2016) and the Enforcement and Monitoring Guidelines (2020).
This decision reasserts scientific rigour as the bedrock of environmental regulation, especially for resource-sensitive activities like sand mining. It reinforces that environmental clearances must rest on comprehensive, science-driven studies—not expedient shortcuts. Rivers are not simply extractive resources; they are living ecosystems whose balance must be maintained for current and future generations.
No Sand Without Science: Supreme Court Bans Blind Mining Without Replenishment Data
