Predicting National Exposure to a Point Source Chemical: Japan and Endocrine Disruption as an Example

Environmental Science and Technology, 2011, 45 (3), pp 1028–1033, December 17, 2010

Andrew C. Johnson, Junichi Yoshitani, Hiroaki Tanaka, and Yutaka Suzuki

“The predicted aquatic estrogen concentrations for the whole of England and Japan were determined and compared using population and flow data. The overall value for English surface waters was 0.9 ng/L estradiol equivalents (EEQ) compared to 0.1 ng/L overall for Japan. Available dilution of sewage effluent was considered to be more important than contraceptive pill usage in this relative risk. A national survey of Japanese rivers using the yeast estrogen assay (YES) gave a median value of 0.27 ng/L EEQ which, while higher than that predicted, confirmed an overall low endocrine disruption risk. Using local population and flow data for 27 separate catchments, the predicted EEQ and measured EEQ (YES) values compared well, confirming the national picture that endocrine disruption would not be a widespread phenomena in Japan. Simple predictions based on population and flow can give an appropriate “ball park” value for catchments and even nations for concentrations of polar organic contaminants which have a majority human origin.”

Collaborative Web-GIS Design: A Case Study for Road Risk Analysis and Monitoring

Transactions in GIS, April 2011, Volume 15, Issue 2

Francesco Pirotti, Alberto Guarnieri, and Antonio Vettore

“This article presents a methodology for designing aWebGIS framework intended for automatically analyzing spatial data and updating statistics of interest with new information inserted daily by multiple users via a Web portal. A practical example is used on vehicle accident data for assessing risk in specific road segments. Two main blocks integrated together will be described: the collaborative block and the dataanalysis block. The former gives end-users computer-aided tools to view, insert, modify and manage data related to accidents and traffic monitoring sensors, whereas the latter is developed to automatically analyze the accident data coming from user’s collaboration. Because different agencies can survey accident sites, a collaborative environment is necessary – and a Web-based solution is ideal – for permitting multi-user access and data insertion. A centralized approach to process the data in real time is described in all its components. Server-side Structured Query Language functions optimize performance by using dedicated libraries for spatial processing and re-structuring the attributes associated with elements which are consequently re-classified for correct color-scaling. The end-product is a system that provides a seamless integration of front-end tools for user collaboration and back-end tools to update accident risk statistics in real time and provide them to stakeholders.”

Sports, Time Geography, and Mobility Data

Proceedings of Spatial Knowledge and Information – Canada (SKI-Canada) 2011, March 3-6 in Fernie, BC, Canada

Jed A. Long and Trisalyn A. Nelson

“This research investigates the usefulness of concepts from time geography for studying in-game movements of athletes. Mobility data, collected using sport-specific GPS devices is used to highlight this approach. A simple training-ground drill is conducted on members of the University of Victoria Ultimate Frisbee Club (UVictim) to investigate differences in players’ ability to cover space. Results are discussed with respect to defensive tactics in team sports. Future directions for mobility data applications in sports are presented.”