Work

India block-level environmental burden index

Year: 2026

Type: article

Abstract: Derived data and code for the manuscript “Targeting India’s most deprived blocks overlooks compound environmental burden” (G. Nath, 2026, submitted). Block-level environmental-burden index for all 7,146 community-development blocks of India (LGD 2024), built from 13 satellite, reanalysis and gridded indicators in four domains (heat, air pollution, water stress, flood and cyclone), with 1,000-variant Monte Carlo uncertainty; a census-based social-vulnerability index; the 500 Aspirational Blocks matched to LGD codes; ground-validation results; re-targeting scenarios; district health models; and the supplementary tables. Code: Earth Engine/Colab notebooks that reduce the public inputs to block tables, and Python scripts that rebuild every analysis, figure and table (run order in README.md). Data CC BY 4.0; code MIT.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.24039232

Author: NATH, GAUTAM

Institution: National Institute of Technology Patna

Language: English

Topic: Environmental Justice and Health Disparities

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Climate action, Clean water and sanitation

Open Access status: green

OpenAlex ID: W7225459739

FWCI:

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