Study of blood flow sensing with microwave radiometry

A study and experimental investigation has been performed to determine the feasibility of measuring regional blood flow and volume in man by means of microwave radiometry. An indication was expected of regional blood flow from measurement of surface and subsurface temperatures with a sensitive radiometer. Following theoretical modeling of biological tissue, to determine the optimum operating frequency for adequate sensing depth, a sensitive microwave radiometer was designed for operation at 793 MHz. A temperature sensitivity of of 0.06 K rms was realized in this equipment. Measurements performed on phantom tissue models, consisting of beef fat and lean beefsteak showed that the radiometer was capable of sensing temperatures from a depth between 3.8 and 5.1 cm. Radiometric and thermodynamic temperature measurements were also performed on the hind thighs of large dogs. These showed that the radiometer could sense subsurface temperatures from a depth of, at least, 1.3 cm. Delays caused by externally-generated RF interference, coupled with the lack of reliable blood flow measurement equipment, prevented correlation of radiometer readings with reginal blood flow. For the same reasons, it was not possible to extend the radiometric observations to human subjects

Using Online Databasing to Unlock the Full Value of Environmental Impact Assessments

Government agencies are often required to conduct some form of environmental impact assessment (EIA) before approving a major project or proposal. The documents generated during these assessments contain a wealth of information about baseline environmental conditions, impact assessment methodologies, predicted impacts, and mitigation measures, among other things. This information is compiled at great effort and expense and is valuable in many different applications. Unfortunately, the challenge of locating and searching through these documents poses a serious impediment to effectively harnessing the information contained therein. Granted, public access to EIA documents has improved considerably in the past decade. Environmental Impact Statements (EISs) are now routinely posted online as searchable PDFs, which is a vast improvement over hard copy circulation. The U.S. Environmental Protection Agency (EPA) and several other entities have also created online databases of EISs and other EIA documents, which allow users to search records by title, agency, data, and other parameters. These databases make it easier to find and download specific documents, but they are limited in scope and they lack certain features that would make it much easier to aggregate and synthesize information across multiple documents, such as a full text search feature

The EPA’s Proposed Transport Rule: Implications for Climate Change Regulation

On July 6, 2010, the U.S. Environmental Protection Agency (EPA) proposed a Clean Air Act rulemaking to reduce sulfur dioxide (SO2) and nitrogen oxide (NOx) emissions from power plants in the eastern United States. If it survives legal scrutiny, the rule will impose a hybrid cap-and-trade program with state-specific SO2 and NOx emission budgets and limited interstate trading. This paper discusses the rule\u27s requirements, how it compares to its predecessor (the Clean Air Interstate Act), the projected impact on air quality and public health, and implications for future climate change policy

An Ensemble Approach to Space-Time Interpolation

There has been much excitement and activity in recent years related to the relatively sudden availability of earth-related data and the computational capabilities to visualize and analyze these data. Despite the increased ability to collect and store large volumes of data, few individual data sets exist that provide both the requisite spatial and temporal observational frequency for many urban and/or regional-scale applications. The motivating view of this paper, however, is that the relative temporal richness of one data set can be leveraged with the relative spatial richness of another to fill in the gaps. We also note that any single interpolation technique has advantages and disadvantages. Particularly when focusing on the spatial or on the temporal dimension, this means that different techniques are more appropriate than others for specific types of data. We therefore propose a space- time interpolation approach whereby two interpolation methods – one for the temporal and one for the spatial dimension – are used in tandem in order to maximize the quality of the result. We call our ensemble approach the Space-Time Interpolation Environment (STIE). The primary steps within this environment include a spatial interpolator, a time-step processor, and a calibration step that enforces phenomenon-related behavioral constraints. The specific interpolation techniques used within the STIE can be chosen on the basis of suitability for the data and application at hand. In the current paper, we describe STIE conceptually including the structure of the data inputs and output, details of the primary steps (the STIE processors), and the mechanism for coordinating the data and the processors. We then describe a case study focusing on urban land cover in Phoenix, Arizona. Our empirical results show that STIE was effective as a space-time interpolator for urban land cover with an accuracy of 85.2% and furthermore that it was more effective than a single technique.

Using Online Databasing to Unlock the Full Value of Environmental Impact Assessments

This paper considers how a multi-disciplinary research community can build upon these efforts to further enhance online access to EIA documents and make it easier for the public to use the information contained in those documents. Part I lays the groundwork for this inquiry: it describes the types of information contained in EIA documents and the extent to which existing online databases provide an effective means of locating and searching through these documents. Part II discusses the potential applications of the information contained in these documents, and how this might inform priorities related to online database development. Part III contemplates how we can enhance the accessibility and utility of EIA documents through four complementary measures: Connect the existing EIA databases, preferably through the creation of a centralized database. Expand the scope of the documents that are accessible through the centralized database (or existing databases) to include older documents, documents from other jurisdictions, and documents other than EISs. Add searching, sorting, and filtering features that make it easier for users to find specific documents as well as specific types of data contained in those documents. Prepare new EIA documents in a manner that will streamline the process of adding these to the database(s) and make it easier for users to find relevant information within the documents. Appendix A of this paper contains a user guide with detailed instructions on how to use each of the EIA databases. The guide includes hyperlinks to each of the relevant databases, a description of the scope of documents and search features, and screenshots to help people navigate the websites. Appendix B contains a list of the people who attended the workshop and their contact information

An Ensemble Approach to Space-Time Interpolation

There has been much excitement and activity in recent years related to the relatively sudden availability of earth-related data and the computational capabilities to visualize and analyze these data. Despite the increased ability to collect and store large volumes of data, few individual data sets exist that provide both the requisite spatial and temporal observational frequency for many urban and/or regional-scale applications. The motivating view of this paper, however, is that the relative temporal richness of one data set can be leveraged with the relative spatial richness of another to fill in the gaps. We also note that any single interpolation technique has advantages and disadvantages. Particularly when focusing on the spatial or on the temporal dimension, this means that different techniques are more appropriate than others for specific types of data. We therefore propose a space- time interpolation approach whereby two interpolation methods – one for the temporal and one for the spatial dimension – are used in tandem in order to maximize the quality of the result. We call our ensemble approach the Space-Time Interpolation Environment (STIE). The primary steps within this environment include a spatial interpolator, a time-step processor, and a calibration step that enforces phenomenon-related behavioral constraints. The specific interpolation techniques used within the STIE can be chosen on the basis of suitability for the data and application at hand. In the current paper, we describe STIE conceptually including the structure of the data inputs and output, details of the primary steps (the STIE processors), and the mechanism for coordinating the data and the 1 processors. We then describe a case study focusing on urban land cover in Phoenix Arizona. Our empirical results show that STIE was effective as a space-time interpolator for urban land cover with an accuracy of 85.2% and furthermore that it was more effective than a single technique.

Considering the Effects of Climate Change on Natural Resources in Environmental Review and Planning Documents: Guidance for Agencies and Practitioners

This report describes how climate change will affect natural resources in the United States, and explains why consideration of how climate change will affect those resources is necessary in order to fulfill legal requirements under NEPA and other statutes governing the management of these resources. It also presents examples of how climate change has been meaningfully accounted for in environmental review and planning documents. The accompanying protocol contains guidelines for considering the impacts of climate change in environmental reviews as well as other planning documents (e.g., resource management plans and resource assessments)