ADTI Overview

Brief

Acid Drainage Technology Initiative

ADTI is a government/industry/university joint venture dedicated to the development and use of best science applications to the problem of acid mine drainage.

History

The concept for the Acid Drainage Technology Initiative (ADTI) was developed in the Spring of 1995 by Hammond Eve of USDI, Office of Surface Mining, David Finkenbinder of the National Mining Association, and Paul Ziemkiewicz of the National Mine Land Reclamation Center at West Virginia University. Shortly after the elementary idea was developed, it was enhanced and moved forward through the efforts of Greg Conrad of the Interstate Mining Compact Commission; Roger Hornberger of Pennsylvania Department of Environmental Protection; Rocky Parsons and Charles Miller of West Virginia Division of Environmental Protection; Dan Sweeney of the U.S. Environmental Protection Agency; Kim Burke of Anker Energy; Vance P. Wiram of Cyprus/Amax Coal, Inc.; Bruce Leavitt of Consolidation Coal, Inc.; and Robert Kleinmann of the U.S. Department of Energy. Volunteer technical experts worked in two working groups to produce the first products of ADTI (see publications). The entire working group was, comprised as follows:

ADTI was formed to identify, evaluate and develop cost-effective and practical acid drainage prevention, control, and treatment technologies. In 1999, ADTI was expanded from only a coal mining sector through the addition of the metal mining sector group, which began organization efforts in 1998. ADTI addresses all drainage quality issues involving metal mining and related metallurgical operations, as well as those associated with abandoned, active and future coal mining activities.

ADTI is a technology development program. It is not a regulatory or policy development program. The guiding principle of ADTI is to build a consensus among industry and Federal and state regulatory agencies. ADTI is focusing these efforts on technology development and technology transfer in the areas of mine drainage prediction, sampling/monitoring, modeling and avoidance/remediation.