by Tianyi Luo, Deepak Sriram Krishnan and Shreyan Sen - January 2018
This paper aims to help decision-makers understand the magnitude of water issues for the thermal power sector in India with quantitative evidence. There is a significant data gap in power plant water use in India. The authors used data science techniques and innovative methodologies and...
A Methodology to Estimate Water Demand for Thermal Power Plants in Data-Scarce Regions Using Satellite Imagesby Tianyi Luo, Arjun Krishnaswami and Xinyue Li - January 2018
Thermal power generation is thirsty, but disclosure of power plant water usage is not required in many countries. WRI has created a new methodology to calculate water usage for thermal power plants, even those in data-scarce regions. Plant cooling and fuel type, identified through satellite data...
by Lijin Zhong, Xiaotian Fu, Tianyi Luo, William Hua Wen and Tien Shiao - August 2016
This report is aimed at helping governments and corporations gain a better understanding of water stress associated with local economic development and its impact on socio-economic development in Ningxia. It first analyzes water resources profiles, water resources management and current water...
by Eliot Metzger, Paul Reig, William Hua Wen, Robert Samuel Young and Brandon Owens - January 2016
Water scarcity challenges industries around the world. Global population growth and economic development suggest a future of increased demand, competition, and cost for limited freshwater supplies. Scarcer water, in turn, creates new challenges for energy supply because coal, oil, gas, and...
by Tianyi Luo, Robert Samuel Young and Paul Reig - August 2015
Decision-makers need future projections on water supply and demand. However, most of these decision-makers operate at the administrative or political scales, and therefore require country-level projections.
This technical note utilized a spatial aggregation methodology to bring sub-...
by Francis Gassert, Matt Luck, Research Scientist, ISciences LLC and Matt Landis Research Scientist, ISciences LLC - June 2015
The Aqueduct Water Stress Projections include indicators of change in water supply, water demand, water stress, and seasonal variability, projected for the coming decades under scenarios of climate and economic growth.
Constructing Decision-Relevant Global Water Risk Indicatorsby Francis Gassert, Paul Reig, Tien Shiao, Matt Luck, Research Scientist, ISciences LLC and Matt Landis Research Scientist, ISciences LLC - April 2015
This working paper explains the methodology used to generate the hydrological metrics and indicators in the Aqueduct Water Risk Atlas. For a detailed list of data sources, see the Aqueduct Global Maps 2.1 Metadata Document.
by Francis Gassert, Paul Reig, Tien Shiao, Matt Landis, Research Scientist, ISciences, LLC and Matt Luck, Research Scientist, ISciences, LLC - April 2015
This working paper updates the 2013 Aqueduct Global Maps 2.0 Metadata Document.
It describes the data sources and calculations for the Aqueduct Water Risk Atlas Global Maps. Complete guidelines and...
by Deborah Seligsohn, William Hua Wen, Craig Hanson and Kejun Jiang - March 2015
China’s power sector is its largest source of greenhouse gas emissions and also its biggest industrial water user.
This issue brief includes a Water–Climate Impacts Bubble Chart to help decision-makers better understand the trade-offs between water use, climate impacts, and capital...