Emerging Technologies for Hydrologic and Water Quality Modeling Research

Thumbnail Image
Major Professor
Committee Member
Journal Title
Journal ISSN
Volume Title
Tim, U. Sunday
Associate Professor
Research Projects
Organizational Units
Organizational Unit
Agricultural and Biosystems Engineering

Since 1905, the Department of Agricultural Engineering, now the Department of Agricultural and Biosystems Engineering (ABE), has been a leader in providing engineering solutions to agricultural problems in the United States and the world. The department’s original mission was to mechanize agriculture. That mission has evolved to encompass a global view of the entire food production system–the wise management of natural resources in the production, processing, storage, handling, and use of food fiber and other biological products.

In 1905 Agricultural Engineering was recognized as a subdivision of the Department of Agronomy, and in 1907 it was recognized as a unique department. It was renamed the Department of Agricultural and Biosystems Engineering in 1990. The department merged with the Department of Industrial Education and Technology in 2004.

Dates of Existence

Historical Names

  • Department of Agricultural Engineering (1907–1990)

Related Units

Journal Issue
Is Version Of

During the past two decades there has been a dramatic increase in the development and application of hydrologic and water quality models to evaluate complex environmental processes and to assess nonpoint source pollution of soil and water resources. Recognizing that advancements in modeling continue to be driven by developments in computer technology, it is worthwhile to examine some of the current and emerging computer technologies that hold great promise for advancing the use of hydrologic and water quality models. An attempt is made to forecast and briefly discuss the impact that technologies such as geographic information systems, global positioning systems, and scientific visualization will have on the future of hydrologic and water quality modeling. Forecasting is a very risky business, not because of our chronic inability to predict what will happen in the future but also because such speculation raises questions about what we modelers and model users desire and value. The thesis of this article is that some current and most of the emerging technologies will facilitate development and widespread use of hydrologic and water quality models for water resources management and decision making in the future.


This article is from Transactions of the ASABE 39 (1996): 465–476, doi:10.13031/2013.27524. Posted with permission.

Mon Jan 01 00:00:00 UTC 1996