World Resources Institute

Data cited at: World Resources Institute The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights for one’s own analysis. Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. As of June 2018, the database includes around 28,500 power plants from 164 countries. It will be continuously updated as data becomes available. The most recent release of the Global Power Plant Database 1.1 includes the addition of two countries (China and Fiji), over 3,000 power plants, and nearly 1300 gigawatts of power capacity.Citation Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. 2018. Global Power Plant Database. Published on Resource Watch and Google Earth Engine; http://resourcewatch.org/https://earthengine.google.com/

string_id: contains a unique string for each geometry. Geometries are the union of hydrological basins, provinces and groundwater aquifers. String_id is a combination of pfaf_id-gid_1-aqid. name_0: Country bws_raw: raw value. Units depend on the indicator bws_score: each indicator is mapped to a [0-5] scale. bws_label: A label explaining the category of the indicator including the threshold. eg "Extremely High (more than 1 in 100)". w_awr_def_qan_raw raw value on 0-5 scale. Result of weighted composite approach w_awr_def_qan_score: score [0-5], the result of applying a quantile approach to raw values ​​w_awr_def_qan_label: A label explaining the category of the grouped water risk w_awr_def_qan_weight_fraction: the fraction [0-1] of the group towards the overall water risk score. NoData is excluded from the weights and therefore the fractions can be lower than 1 depending on data availability