Responsibilities and Interests:

The focus of my research is on incorporation of risk assessment and soil variability concepts into models of runoff, erosion, and pollutant transport on large agricultural, or multi-use watersheds. Current studies include applications of geostatistics, geographic information systems (GIS), decision support systems (MCDM and Outranking Methods), remotely sensed imagery, and geo-positioning technology (GPS) to modeling of spatial and temporal uncertainty associated with distributions of soil attributes, water flow, sediment, and solute movement in soils. My past work dealt with water flow, heat transfer, hydrology of partial contributing areas, performance of clay liners used to contain hazardous wastes, biomass production, and acid mine drainage on stripmined and reclaimed areas. Early work included soil tilth, strength, and structure, and transport of radionuclides (Cs137) in environment.

Most recent studies attempt to establish a comprehensive research approach to infiltration, water flow and groundwater contamination on agricultural watersheds. For example, a study was conducted on a 100 km² catchment located in the Valley and Ridge physiographic province. The objectives were to modify models of soil moisture characteristic and hydraulic conductivity to accept readily available NRCS data, and to propose methods to estimate spatial distribution of heat flux, growing degree days, and recharge contributing areas at a watershed scale. Because soil properties will vary spatially and in time, the study introduced controlled georeferenced sampling for soil water, infiltration, macroporosity, and hydraulic conductivity within a catchment GIS context. To support modeling of risk and uncertainty, the study developed and instituted a sampling protocol that relied on portable digitized data acquisition in a real time, differentially corrected, GPS mode. Major efforts targeted scale relationships between the measured point values and remotely sensed data. The analysis, utilized Bayesian and self-similarity concepts, and global positioning techniques in a geographic information systems nonparametric assessment framework, to evaluate and predict water flow pathways and potential impacts of agriculture on environment.

Education:

• Ph.D. Soils Physics, (Don Kirkham), Thesis “Strength of Soil Aggregates”, 318p., Iowa State University, Ames, Iowa, 1964.
• M.S. Soil Physics (Don Kirkham), Thesis “Stability of Soil Aggregates as Affected by Moisture and Forming Pressure”, 76p. Iowa State University, Ames, Iowa, 1960.
• B.S. Agronomy (Magna Cum Laude), University of Georgia, Athens, Georgia, 1958.

Selected Publications:

1. Wolf J.K. and A.S. Rogowski. 1992. Rapid methods to estimate hydraulic conductivity and soil water content distributions within mapping units at a farm and watershed scale. IN Proc. Conf. Groundwater in the Piedmont. C.C. Daniel, R.K. White and P.A. Stone eds. Clemson Univ. Press. Clemson NC. p. 133–147.
2. Rogowski, A.S. and J.K. Wolf. 1994. Incorporating variability into soil mapping units. SSSA J 58: 163–174.
3. Rogowski, A.S. 1994. Comparisons of potential soil productivity prior to and following mining. IN: Proc. Int. Land Reclamation Conf., Pittsburgh, PA. p.12–19.
4. Rogowski, A.S. 1995. Using GIS to evaluate nonpoint source nitrate pollution potential at the farm and watershed scale. In: Proceedings international workshop on development of water related information systems. UNESCO, Washington, DC May 19–20 1993 p.201–215.
5. Rogowski, A.S. 1995. Quantifying soil variability in GIS applications: I. Estimates of Position. Int. J. Geographic Information Systems. 9(1):81–94.
6. Rogowski, A.S. 1996. Quantifying soil variability in GIS applications. II. Spatial distribution of soil properties. Int. J. Geographic Information Systems 10:455–475.
7. Rogowski, A.S. 1995. Spatial distribution of soil attributes affecting solute transport. In: Applications of the modeling of non-point source pollutants in the vadose zone. Bouyoucos Conference, Riverside CA. 539–565.
8. Rogowski, A.S. Conditional simulation of percolate flux below a rootzone. 255–260. In: Proc.2nd Int.Conf/Workshop on integrating geographic information systems and environmental modeling. September 26–30, 1993. Breckenridge, CO.
9. Rogowski, A.S. and J.R. Hoover, 1996. Catchment infiltration I: Distribution of variables. Transactions in GIS 1(2):95–110.
10. Rogowski, A.S. and E. T. Engman. 1996.Using a decision support system in a GIS framework to model spatial distribution of soil water. In: NCGIA 3rd Int. Workshop on Integrating GIS and Environmental Modeling, Santa Fe, NM. CD-ROM , NCGIA, University of California Santa Barbara, CA,USA.
11. Rogowski, A. S. 1996. Incorporating soil variability into a spatially distributed model of percolate accounting. p.57–64. In: Spatial accuracy assessment in natural resources and environmental sciences: 2nd International symposium May 21–23,1996 Fort Collins, CO, H.T.Mowrer et al.