Iowa Beach Monitoring Program, 2007

This monthly report from the Iowa Department of Transportation is about the water quality management of Iowa's rivers, streams and lakes.

Project AWARE 2007 Raccoon River, 2008

This monthly report from the Iowa Department of Transportation is about the water quality management of Iowa's rivers, streams and lakes.

Results of Wetland Monitoring 2005-2007

This monthly report from the Iowa Department of Natural Resources is about the water quality management of Iowa's rivers, streams and lakes.

Iowa's Beach Monitoring Program 2007, 2008

This monthly report from the Iowa Department of Natural Resources is about the water quality management of Iowa's rivers, streams and lakes.

Progress monitoring for teachers of students who have visual disabilities, Fall 2006.

Description and process of monitoring students with visual disabilities.

Audit report on the Great River Regional Waste Authority for the year ended June 30, 2007

Audit report on the Great River Regional Waste Authority for the year ended June 30, 2007

River Barge Terminal Directory, July 2005

The Barge Terminal Directory has been prepared by the Iowa Department of Transportation’s Modal Division to provide quick access to information on Iowa’s river terminals and fleeting/harbor services. The information is to assist those who may need barge transportation services. The information in the directory was provided by the terminal operators. The Modal Division would appreciate any help on corrections, additions or deletions.

Degradation and aggradation of the Missouri River, June 1978.

Proceedings of a workshop held in Omaha, Nebraska, 22-25 January, 1978. Edited by W.W. Sayre and J.F. Kennedy. Iowa Conservation Commission. IIHR Report No. 215. Iowa Institute of Hydraulic Research, the University of Iowa, Iowa City, Iowa.

Iowa Fisheries Research Technical Series No. 75-1 Variations in the abundance of channel catfish year classes in the upper Mississippi River and causative factors Don R. Helms, Fishery Research Biologist Fisheries Section Jerry M. Conley, Superintendent of Fisheries December, 1975

study of channel catfish in the Mississippi River to determine differences in year class abundance and causative factors

Hydrologic Simulations of the Maquoketa River Watershed Using SWAT Working Paper 09-WP 49,June 2009

This paper describes the application of the Soil and Water Assessment Tool (SWAT) model to the Maquoketa River watershed, located in northeast Iowa. The inputs to the model were obtained from the Environmental Protection Agency’s geographic information/database system called Better Assessment Science Integrating Point and Nonpoint Sources (BASINS). Climatic data from six weather stations located in and around the watershed, and measured streamflow data from a U.S. Geological Survey gage station at the watershed outlet were used in the sensitivity analysis of SWAT model parameters as well as its calibration and validation for watershed hydrology and streamflow. A sensitivity analysis was performed using an influence coefficient method to evaluate surface runoff and base flow variations in response to changes in model input hydrologic parameters. The curve number, evaporation compensation factor, and soil available water capacity were found to be the most sensitive parameters among eight selected parameters when applying SWAT to the Maquoketa River watershed. Model calibration, facilitated by the sensitivity analysis, was performed for the period 1988 through 1993, and validation was performed for 1982 through 1987. The model performance was evaluated by well-established statistical methods and was found to explain at least 86% and 69% of the variability in the measured stream flow data for the calibration and validation periods, respectively. This initial hydrologic modeling analysis will facilitate future applications of SWAT to the Maquoketa River watershed for various watershed analysis, including water quality.

Audit report on the Great River Regional Waste Authority for the year ended June 30, 2009

Audit report on the Great River Regional Waste Authority for the year ended June 30, 2009

Audit report on the Disaster Grants – Public Assistance program of the Iowa River - Flint Creek Levee District in Des Moines County and Louisa County, Iowa for the year ended June 30, 2009

Audit report on the Disaster Grants – Public Assistance program of the Iowa River - Flint Creek Levee District in Des Moines County and Louisa County, Iowa for the year ended June 30, 2009

Audit report on the Great River Regional Waste Authority for the year ended June 30, 2010

Audit report on the Great River Regional Waste Authority for the year ended June 30, 2010

Monitoring Children with Risk Factors. 2008

The Iowa EHDI High-Risk Monitoring Protocol is based on the Joint Committee on Infant Hearing 2007 position statement. Emphasis is placed on follow-up as deemed appropriate by the primary health care provider and audiologist. The Iowa protocol describes the follow-up process for children with risk factors.

Roadway Lighting and Safety: Phase II – Monitoring Quality, Durability and Efficiency, November 2011

This Phase II project follows a previous project titled Strategies to Address Nighttime Crashes at Rural, Unsignalized Intersections. Based on the results of the previous study, the Iowa Highway Research Board (IHRB) indicated interest in pursuing further research to address the quality of lighting, rather than just the presence of light, with respect to safety. The research team supplemented the literature review from the previous study, specifically addressing lighting level in terms of measurement, the relationship between light levels and safety, and lamp durability and efficiency. The Center for Transportation Research and Education (CTRE) teamed with a national research leader in roadway lighting, Virginia Tech Transportation Institute (VTTI) to collect the data. An integral instrument to the data collection efforts was the creation of the Roadway Monitoring System (RMS). The RMS allowed the research team to collect lighting data and approach information for each rural intersection identified in the previous phase. After data cleanup, the final data set contained illuminance data for 101 lighted intersections (of 137 lighted intersections in the first study). Data analysis included a robust statistical analysis based on Bayesian techniques. Average illuminance, average glare, and average uniformity ratio values were used to classify quality of lighting at the intersections.