Institution
Ontario Ministry of Transportation
Government•Toronto, Ontario, Canada•
About: Ontario Ministry of Transportation is a government organization based out in Toronto, Ontario, Canada. It is known for research contribution in the topics: Poison control & Asphalt. The organization has 4652 authors who have published 3882 publications receiving 59011 citations.
Topics: Poison control, Asphalt, Traffic flow, Sediment, Finite element method
Papers published on a yearly basis
Papers
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TL;DR: In this article, two questionnaire surveys of fuel use by low-income households in Zimbabwe were conducted in four small towns in 1994, and in these towns plus four larger towns in 1999.
154 citations
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TL;DR: The key findings of a workshop on EIA follow-up conducted at IAIA'00 Back to the Future, the 20th Annual Meeting of the International Association for Impact Assessment held in Hong Kong, 19-23 June 2000.
Abstract: Environmental impact assessment (EIA) follow- up refers to the activities undertaken during the post-decision stages of the process to monitor, evaluate, manage and communicate the environmental outcomes that occur in order to provide for some follow-up to the environmental impact statement. This article presents the key findings of a workshop on EIA follow-up conducted at IAIA'00 Back to the Future, the 20th Annual Meeting of the International Association for Impact Assessment held in Hong Kong, 19-23 June 2000.
150 citations
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TL;DR: It is concluded that for the 78 transformation products selected, the data set on physico-chemical and ecotoxicological behaviour is not very large and there is a need for more information especially on the persistency and no-observed-effect concentrations of the pesticide's transformation products.
150 citations
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TL;DR: In this paper, a set of tests was designed to determine the performance of commercial silicone-based products, using typical 'bridge' concrete (made with OPC or blast furnace slag cement).
148 citations
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TL;DR: In this article, the authors used data on bedform height and bedform celerity to estimate the bed-load transport rate in a river environment, and they used the modified Kalinske-Frijlink function to predict the transport rate.
Abstract: Reliable field data obtained by directly measuring bed-load transport of fine- to coarse-grained bed material are extremely scarce, mainly because of the difficulty of sampling accurately. Therefore, the verification of bed-load transport formulae is largely based on flume experiments, which refer to unrealistic shallow-water conditions. In this study, some bed-load transport formulae were tested against data from natural environments. As an alternative to ascertaining the bed-load transport rate by sampling the bed-load, the transport rate was deduced from data on bedform height and bedform celerity. For this purpose, 43 sets of data from rivers, representing a wide range of bed material, bedform dimensions and hydraulic conditions were collected as were some sets of data from tidal settings. Two formulae were used for the prediction of the bed-load transport: the formula of Van Rijn (1981) and the Kalinske (1947) formula as approximated by Elzerman & Frijlink (1951) (and, in the present study, slightly modified for application to tidal waters). Both the bed-load function of Van Rijn and the modified formula of Kalinske-Frijlink require data which are easily obtained and that can be measured accurately.
At those stages of the flow when bed-load transport was high the Van Rijn function tended to overestimate that transport. For flow stages when bed-load transport was low the opposite was true. The modified Kalinske-Frijlink function gave consistently good results: 86% of the transport rates predicted using the river data were within 0·5–2·0 times the values actually measured.
147 citations
Authors
Showing all 4652 results
Name | H-index | Papers | Citations |
---|---|---|---|
Li Li | 66 | 571 | 17171 |
Silvia Lacorte | 64 | 247 | 11695 |
Gerard Cornelissen | 62 | 175 | 13850 |
Chanan Singh | 58 | 408 | 14208 |
Pim de Voogt | 58 | 173 | 11358 |
Abraham Brouwer | 57 | 200 | 12108 |
Min-Shiang Hwang | 53 | 335 | 11627 |
Chi Zhang | 51 | 523 | 9788 |
Maarten G. Kleinhans | 48 | 246 | 6764 |
Bart van der Burg | 47 | 102 | 11055 |
Jan Bogerd | 46 | 133 | 6263 |
Chris A Rogers | 46 | 270 | 10993 |
Freek Ariese | 42 | 214 | 7536 |
John F. Kain | 41 | 104 | 18570 |
Jiuh-Biing Sheu | 40 | 128 | 5521 |