modelling

The health burden and racial-ethnic disparities of air pollution from the major oil and gas lifecycle stages in the United States

Journal article / This article reveals the health burden and racial-ethnic disparities of air pollution from the oil and gas lifecycle stages in the United States.

Predicting California water-year types using seasonal climate forecasts

Journal article / This journal article proposes better hydroclimate forecasts for informing water allocating decisions in the state of California.

Global wood fuel production estimates and implications

Journal article / This article reports estimates of wood fuel removal and charcoal production for improving forecasting models and understanding the forest sector.

From silos to synergy: advancing policy action through water-energy-food nexus in Kenya

Feature / Using SEI’s WEAP and LEAP tools, researchers developed projections of water and energy demand and supply in the catchment through to 2030.

Collaboration with Iraq’s Water Ministry trains engineers in integrated water modelling

Feature / SEI trains Iraqi engineers in SWAT and WEAP tools to boost data-driven, climate-resilient water planning under the WICER project.

A new methodology to estimate the level of water stress (SDG 6.4.2) by season and by sub-basin avoiding the double counting of water resources

Journal article / This journal article details a method to assess water stress at the sub-basin level through developing a new feature for WEAP.

Q&A: How can Iraq improve water management and increase resilience?

Feature / As the WICER project comes to a close this month, SEI sanitation and water resource experts answer a few questions.

Accelerating progress on the SDGs: policy guidance from the global modeling literature

Journal article / This article reviews global SDG models, highlights policy gaps, and urges more integrated, standardized approaches to accelerate progress by 2030.

Predictability of cottonwood recruitment along a dynamic, regulated river

Journal article / This article investigates the use of different algorithms to predict cottonwood growth around river banks and its implications in river conservation.