Heat Stress Monitoring for Outdoor Workers, Powered by EHI-N*

Elif Kılıç 1,*, Shruti M. Deorah 1, Dr. Ashok Gadgil 1,2

1 IECC, Goldman School of Public Policy, University of California Berkeley
2 Civil and Environmental Engineering, University of California, Berkeley
* Corresponding author – email

Under Review
Introducing EHI-N*

Protecting outdoor workers from dangerous heat requires metrics that capture how the human body actually experiences thermal stress during physical labor.

The heat indices currently used in India’s public health response, including temperature-based heatwave thresholds, wet-bulb temperature, and the NOAA Heat Index, were designed for general population guidance rather than occupational safety. These metrics treat all individuals as passive recipients of environmental heat, ignoring the substantial internal heat load generated by muscular work. A construction laborer mixing concrete or an agricultural worker harvesting crops may generate three to four times more metabolic heat than someone sitting indoors, yet existing indices provide identical risk assessments for both. This fundamental mismatch means that current heat warnings often arrive too late for workers, declaring “caution” when physiological danger is already present.

The Extended Heat Index for labor at metabolic rate N, designated EHI-N*, represents a new approach built from the physics of heat exchange in a human body with varying levels of muscular effort.

The model simulates the body’s thermal regulation system: blood carrying heat from working muscles to the skin surface, sweat evaporating to carry heat away, and the balance between heat production and heat loss that determines whether core temperature remains stable or begins to climb. What distinguishes EHI-N* from earlier physiological models is its incorporation of physical effort, solar radiation, and real-world biological limits. It explicitly accounts for metabolic heat production from labor (ranging from sedentary to heavy exertion) and radiant heat gain from direct sun exposure, both of which significantly increase cooling demands beyond what ambient temperature and humidity alone would suggest. 

The following animation shows historical zones for the pre-monsoon season across India.

The naming convention communicates the specific scenario being modeled. The number following “EHI” indicates the metabolic intensity in METs, the standardized unit used in exercise physiology and occupational health. EHI-3 models light activity such as office work or slow walking. EHI-6 models the sustained heavy exertion typical of manual labor: digging, lifting, carrying loads, or operating heavy machinery. The asterisk appearing after some indices signals that direct solar radiation has been included in the heat load calculation, relevant for workers in unshaded outdoor environments. Indices without the asterisk assume full shade. All calculations use body dimensions representative of Indian adults (1.65 m height, 65 kg weight), though the underlying physics applies broadly. This specificity allows SHRAM to provide genuinely tailored guidance: the conditions that pose risk to a brick kiln worker differ meaningfully from those affecting a security guard, and EHI-N* captures these differences quantitatively.

Integrating EHI-N* into early warning systems could provide actionable thresholds to protect the large vulnerable group of outdoor workers, who continue with livelihoods involving heavy labor even when environmental conditions put their health at risk. This has relevance for various policy frameworks including occupational safety regulations, labor laws, employment guarantee schemes, etc.

Rather than presenting continuous numerical values that require expert interpretation, EHI-N* presents thermal stress as six discrete zones corresponding to distinct physiological states. This design reflects how the body’s cooling systems engage sequentially as heat load increases.

SHRAM (System for Heat Risk Assessment for Manual labor)

SHRAM (System for Heat Risk Assessment for Manual labor) translates EHI-N* into an actionable monitoring tool for protecting outdoor workers across India. The dashboard displays real-time heat stress conditions using data from India Meteorological Department weather stations, alongside 1- and 3-day forecasts for over 700 districts. Users can select different work intensities (EHI-3 for light work through EHI-6 for heavy agricultural labor) and toggle between shade and direct sunlight conditions to see how heat risk varies.

By providing district-level heat risk assessments in an accessible format, SHRAM enables employers, health officials, and workers themselves to make informed decisions about safe working hours during India’s increasingly dangerous summer heat waves. The dashboard serves both as an early warning system for identifying high-risk conditions and as a planning tool for scheduling outdoor work around the coolest parts of the day.

Under Review