Health consultation : Hills, Iowa Perchlorate Groundwater Contamination Site 2012 Update Hills, Johnson County, Iowa CERCLIS No. IAN000704368 (2012)

The Iowa Department of Natural Resources (IDNR) has requested that the Iowa Department of Public Health (IDPH) complete an update of the health consultation for the Hills, Iowa Perchlorate Groundwater Contamination Site that was originally completed in June 2004. In this updated health consultation, the IDPH will: 1) summarize background information on this site, 2) summarize the progress of work that has been completed regarding the site, 3) summarize the environmental data that has been collected, 4) summarize toxicological information and regulatory information regarding perchlorate, and 5) provide an update to any conclusions and recommendations from the Iowa Department of Public Health. The Iowa Department of Public Health’s priority is to ensure the Hills community has the best information possible to safeguard its health and the IDNR has the best information to guide its activities. That information is included in the following paragraphs.

Health consultation : Contamination of sump within residential property, Carroll County, Iowa (2007)

The Iowa Department of Natural Resources (IDNR) has been involved in an investigation surrounding the appearance of an unknown oil within the sump in the basement of a residence in Carroll, Iowa. The IDNR has requested the Iowa Department of Public Health (IDPH) to prepare a health consultation regarding their investigation. The IDPH, in cooperation with the Agency for Toxic Substances and Disease Registry (ATSDR), prepared this health consultation to review the current status of the IDNR investigation and to provide an evaluation of the public health implications of exposure to the unknown oil within the sump. The information in this health consultation was current at the time of writing. Data that emerges later could alter this document’s conclusions and recommendations.

Technology News, July-September 2015

Technology News is a newsletter produced by the Iowa Department of Transportation to provide information to the transportation specialist in Iowa's cities and counties. Technology News is one of CTRE's primary avenues for exchanging transportation-related information with local agencies. The bimonthly newsletter gives an up-to-date look to the up-to-date information our 2,500+ readers have grown to expect.

Technology News, October-December 2015

Technology News is a newsletter produced by the Iowa Department of Transportation to provide information to the transportation specialist in Iowa's cities and counties. Technology News is one of CTRE's primary avenues for exchanging transportation-related information with local agencies. The bimonthly newsletter gives an up-to-date look to the up-to-date information our 2,500+ readers have grown to expect.

Audit report of Iowa State University of Science and Technology, Ames, Iowa, (Iowa State University) as of and for the years ended June 30, 2015 and 2014

Audit report of Iowa State University of Science and Technology, Ames, Iowa, (Iowa State University) as of and for the years ended June 30, 2015 and 2014

Health consultation : Tails A Waggin' Pet Resort -- arsenic soil contamination, 210 41st Avenue Drive SW, Cedar Rapids, Linn County, Iowa (2006)

The Iowa Department of Natural Resources (IDNR) requested the Iowa Department of Public Health (IDPH) Hazardous Waste Site Health Assessment Program to evaluate the health impacts of exposure to soil contaminated with heavy metals at a commercial property located in Cedar Rapids, Iowa. The specific request was to evaluate the health impacts from exposure to contaminants that were above IDNR statewide standards. This health consultation addresses potential health risks to people from exposure to the soil within the property. The information in this health consultation was current at the time of writing. Data that emerges later could alter this document’s conclusions and recommendations.

Health consultation : Pesticide contamination of residential soil, Des Moines, Polk County, Iowa (2005)

The Iowa Department of Natural Resources (IDNR) has requested the Iowa Department of Public Health (IDPH) Hazardous Waste Site Health Assessment Program to evaluate the health impacts of exposures to residential soil contaminated with pesticides. The residence is located in Des Moines, Iowa. This health consultation addresses potential health risks to people from exposure to the soil within the property. The information in this health consultation was current at the time of writing. Data that emerges later could alter this document’s conclusions and recommendations.

Audit report of Iowa State University of Science and Technology, Ames, Iowa, (Iowa State University) and its discretely presented component unit as of and for the years ended June 30, 2015 and 2014

Audit report of Iowa State University of Science and Technology, Ames, Iowa, (Iowa State University) and its discretely presented component unit as of and for the years ended June 30, 2015 and 2014

Robust Nonlinear Mapping of Soil Contamination Using Support Regression

Spatial data analysis mapping and visualization is of great importance in various fields: environment, pollution, natural hazards and risks, epidemiology, spatial econometrics, etc. A basic task of spatial mapping is to make predictions based on some empirical data (measurements). A number of state-of-the-art methods can be used for the task: deterministic interpolations, methods of geostatistics: the family of kriging estimators (Deutsch and Journel, 1997), machine learning algorithms such as artificial neural networks (ANN) of different architectures, hybrid ANN-geostatistics models (Kanevski and Maignan, 2004; Kanevski et al., 1996), etc. All the methods mentioned above can be used for solving the problem of spatial data mapping. Environmental empirical data are always contaminated/corrupted by noise, and often with noise of unknown nature. That's one of the reasons why deterministic models can be inconsistent, since they treat the measurements as values of some unknown function that should be interpolated. Kriging estimators treat the measurements as the realization of some spatial randomn process. To obtain the estimation with kriging one has to model the spatial structure of the data: spatial correlation function or (semi-)variogram. This task can be complicated if there is not sufficient number of measurements and variogram is sensitive to outliers and extremes. ANN is a powerful tool, but it also suffers from the number of reasons. of a special type ? multiplayer perceptrons ? are often used as a detrending tool in hybrid (ANN+geostatistics) models (Kanevski and Maignank, 2004). Therefore, development and adaptation of the method that would be nonlinear and robust to noise in measurements, would deal with the small empirical datasets and which has solid mathematical background is of great importance. The present paper deals with such model, based on Statistical Learning Theory (SLT) - Support Vector Regression. SLT is a general mathematical framework devoted to the problem of estimation of the dependencies from empirical data (Hastie et al, 2004; Vapnik, 1998). SLT models for classification - Support Vector Machines - have shown good results on different machine learning tasks. The results of SVM classification of spatial data are also promising (Kanevski et al, 2002). The properties of SVM for regression - Support Vector Regression (SVR) are less studied. First results of the application of SVR for spatial mapping of physical quantities were obtained by the authorsin for mapping of medium porosity (Kanevski et al, 1999), and for mapping of radioactively contaminated territories (Kanevski and Canu, 2000). The present paper is devoted to further understanding of the properties of SVR model for spatial data analysis and mapping. Detailed description of the SVR theory can be found in (Cristianini and Shawe-Taylor, 2000; Smola, 1996) and basic equations for the nonlinear modeling are given in section 2. Section 3 discusses the application of SVR for spatial data mapping on the real case study - soil pollution by Cs137 radionuclide. Section 4 discusses the properties of the modelapplied to noised data or data with outliers.

Production technology for entomopathogenic fungus using a biphasic culture system

The objective of this research was to evaluate combinations of liquid media obtained from agro-industrial residues and by-products, with solid media prepared with mixtures of grains and their derivatives, aiming to increase the production of JAB 02 and JAB 45 isolates of Lecanicillium lecanii. Sporulation, conidial viability and process yield were evaluated as well as the production costs using the JAB 45 isolate as a model system were analyzed. The production of JAB 02 was not increased using the biphasic culture. For JAB 45, some combinations provided an increase in yield, especially cheese whey with wheat bran and wheat grain, with lower production costs. Viability was not influenced by the production method, and the combinations showed no differences in the process yield. The biphasic method is suitable for the production of L. lecanii, and proves to be an appropriate technology to use in mass production by biofactories.

Report of the 4th Workshop for Technology Transfer for Intelligent Compaction Consortium, TPF-5(233), 2015

This document summarizes the discussion and findings of the 4th workshop held on October 27–28, 2015 in Frankfort, Kentucky as part of the Technology Transfer Intelligent Compaction Consortium (TTICC) Transportation Pooled Fund (TPF-5(233)) study. The TTICC project is led by the Iowa Department of Transportation (DOT) and partnered by the following state DOTs: California, Georgia, Iowa, Kentucky, Missouri, Ohio, Pennsylvania, Virginia, and Wisconsin. The workshop was hosted by the Kentucky Transportation Cabinet and was organized by the Center for Earthworks Engineering Research (CEER) at Iowa State University of Science and Technology. The objective of the workshop was to generate a focused discussion to identify the research, education, and implementation goals necessary for advancing intelligent compaction for earthworks and asphalt. The workshop consisted of a review of the TTICC goals, state DOT briefings on intelligent compaction implementation activities in their state, voting and brainstorming sessions on intelligent compaction road map research and implementation needs, and identification of action items for TTICC, industry, and Federal Highway Administration (FHWA) on each of the road map elements to help accelerate implementation of the technology. Twenty-three attendees representing the state DOTs participating in this pooled fund study, the FHWA, Iowa State University, University of Kentucky, and industry participated in this workshop.

Review of Automated Vehicle Technology: Policy and Implementation Implications; Version 1.0; RB28-015, 2016

This report provides recommendations for the state of Iowa over the next five years in regards to automated vehicle policy development. These administrative, planning, legal, and community strategy recommendations for government agencies include: • Encouraging automation by preparing government agencies, infrastructure, leveraging procurement, and advocating for safety mandates • Adjusting long range planning processes by identifying and incorporating a wide range of new automation scenarios • Beginning to analyze and, as necessary, clarify existing law as it apples to automated driving • Auditing existing law • Enforcing existing laws • Ensuring vehicle owners and operators bear the true cost of driving • Embracing flexibility by giving agencies the statutory authority to achieve regulatory goals through different means, allowing them to make small-scale exemptions to statutory regimes and clarifying their enforcement discretion • Thinking locally and preparing publicly • Sharing the steps being taken to promote (as well as to anticipate and regulate) automated driving • Instituting public education about automated vehicle technologies.

Public health assessment : Railroad Avenue groundwater contamination, West Des Moines, Polk County, Iowa EPA facility ID: IA0001610963 (2004)

The Railroad Avenue groundwater contamination site (the site) is in West Des Moines, Polk County, Iowa. Located on approximately 120 acres. The site comprises mixed residential, industrial and commercial properties. Underneath the site, chlorinated volatile organic compounds (VOCs) have contaminatcd the shallow (i.e., 30-50 feet deep) groundwater. These compounds have compromised several shallow wells within the West Des Moines water works system. A contamination source, however, has not yet been identified. In 1993, routine water analysis by the City of West Des Moines identified 1, 2 cis-dichlorocthylcne (1, 2 cis-DCE) at a concentration of 1.2 μg/L (micrograms) per liter of water) in the water supply. Subsequently. several shallow municipal wells were found to be contaminated by VOCs, including 1. 2 cis-DCE, trichloroethylene (TCE), tetrachloroethylene (PCE) and benzene. Five of these wells have been taken out of service. Because of the impact on the West Des Moines water supply, the U.S. Environmental Protection Agency (USEPA) has assigned the site to the National Priorities List. Surface water und sediment at the site have not been impacted by the VOCs. Testing for VOCs in surface soils has not revealed any significant VOC contamination. Subsurface soils -- generally 8 feet or greater in depth -- are contaminated with VOCs, but at levels which should not present a health hazard. The past, present, and future health hazard category chosen for this site is no apparent public health hazard. This category is used when exposure to toxins might be occurring or might have occurrcd in the past, but at levels below any known health hazard. Analysis of available environmental data has not revealed that residental or commercial water customers are or have been exposed to VOCs at concentrations that might cause any adverse health effects.

Health consultation : Hills, Iowa perchlorate groundwater contamination site, Hills, Johnson County, EPA facility ID: IAN 000704368 (2004)

The U. S. Environmental Protection Agency (EPA) Region 7, as well as concerned citizens, asked the Iowa Department of Public Health (IDPH) Hazardous Waste Site Health Assessment Program to perform a health consultation for the Hills, Iowa Perchlorate Groundwater Contamination Site. Specifically, IDPH was asked to determine if EPA’s action of providing bottled water to residents whose private wells had concentrations of greater than 18 μg/L (micrograms per liter) or 18 parts per billion (ppb) perchlorate is protective of public health, and to address some community health concerns. The information included in this health consultation was current at the time of writing. Data that emerges later could alter this document’s conclusions and recommendations.