
Geothermal studies at the University of Utah Research Institute
Publication year - 1988
Language(s) - English
Resource type - Reports
DOI - 10.2172/890977
Subject(s) - orographic lift , seeding , meteorology , geothermal gradient , environmental science , geology , earth science , engineering , geography , aerospace engineering , geophysics , precipitation
The University of Utah Research Institute (WRI) is a self-supporting corporation organized in December 1972 under the Utah Non-Profit Corporation Association Act. Under its charter, the Institute is separate in its operations and receives no direct financial support from either the University of Utah or the State of Utah. The charter includes provisions for WRI to conduct both public and proprietary scientific work for governmental agencies, academic institutions, private industry, and individuals. WRI is composed of five divisions, shown in Figure 1: the Earth Science Laboratory (ESL), the Environmental Studies Laboratory (EVSL), the Center for Remote Sensing and Cartography (CRSC), the Engineering Technology Laboratory (ETL) and the Atmospheric Physics Laboratory (APL). The Earth Science Laboratory has a staff of geologists, geochemists and geophysicists who have a broad range of experience in geothermal research and field projects as well as in mineral and petroleum exploration. The Environmental Studies Laboratory offers a variety of technical services and research capabilities in the areas of air quality and visibility, acid precipitation, surface and groundwater contamination, and environmentally caused stress in vegetation. The Center for Remote Sensing and Cartography offers applied research and services with a full range of remote sensing and mapping capability, including satellite and airborne imagery processing and interpretation. The Engineering Technology Laboratory is currently studying the interaction of the human body with electromagnetic radiation. The Atmospheric Physics Laboratory is developing hygroscopic droplet growth theory and orographic seeding models for dispersal of fog