http://www.epa.gov/oppfead1/labeling/lrm/ individual chapters of the Pesticide Label Review Manual, 3rd Edition Pesticide Label Review Manual, 3rd Edition. Utilized by the EPA Office of Pesticide Programs (OPP) to improve the quality and consistency of pesticide labels. This document provides guidance on how the US EPA interprets the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and its specific requirements for label language and format. Chapters include: • Precautionary labeling (including Signal Word, Personal Protective Equipment, and First Aid Statements) • Physical or Chemical Hazards • Worker Protection Labeling • Directions for Use • Labeling Claims • Storage and Disposal • Identification numbers (including EPA registration number)

Appendix A: informational sources on pesticides and health.

https://minerva-access.unimelb.edu.au/bitstream/handle/11343/192648/Ho - The state-of-the-art integrations and applications of the analytic hierarchy process.pdf

The state-of-the-art integrations and applications of the analytic hierarchy process

Loads for use in the design of ships and offshore structures

https://research.aalto.fi/files/11703366/1_s2.0_S0925753515000375_main.pdf

A framework for risk analysis of maritime transportation systems: A case study for oil spill from tankers in a ship–ship collision

The selection of alternative energy sources for shipping can effectively mitigate the problems of high energy consumption and severe environmental problems caused by shipping. However, it is usually difficult for decision makers to select the most sustainable alternative energy source for shipping among multiple alternatives due to the complexity of considering different aspects of performances and the lack of information. This study developed a novel multi-criteria decision-making method that combines Dempster-Shafer theory and a trapezoidal fuzzy analytic hierarchy process for alternative energy source selection under incomplete information conditions. According to the developed method, nuclear power has been recognized as the most sustainable alternative energy source for shipping, followed by liquefied natural gas (LNG) and wind power, and sensitivity analysis reveals that the weights of the criteria have significant on the sustainability sequence of the three alternative energy sources for shipping. The developed method can be popularized for selecting the most sustainable alternative energy source despite incomplete information.

Selection of sustainable alternative energy source for shipping: multi-criteria decision making under incomplete information

This paper describes a methodology for the application of Multi-Criteria Decision-Making (MCDM) on the technology selection for emissions reduction from shipping under uncertainties and incomplete information. Nine criteria in four aspects, including technological (maturity), economic (capital cost and operation cost), environmental (effects of SO x , NO x , GHG, and PM reduction), and social–political aspects (government support and social acceptability), were used for the sustainability assessment. The study aims at developing the methodology for technology selection for emissions reduction from shipping by combining Fuzzy Analytic Hierarchy Process (AHP) and VIKOR. Fuzzy AHP was used to determine the weights of the evaluation criteria and the relative performance of the alternatives with respect to each evaluation criterion, and VIKOR was used to prioritize the alternative technologies. The two methods of VIKOR and the traditional AHP were combined to validate the proposed methodology. Three alternative technologies of low sulphur fuel, scrubber and LNG were studied using the proposed model, and the results indicate that the proposed methodology is capable of assisting the decision-makers to select the most sustainable technology for emissions reduction from shipping under uncertainties and incomplete information.

Fuzzy multi-criteria decision-making method for technology selection for emissions reduction from shipping under uncertainties

/pdf/ship-collision-damage-2yuw61eemg.pdf

Ship collision damage

This paper presents theory and application examples of a mathematical model for rapid prediction of damage to both the side structure of a struck vessel and the bow of a striking vessel in a collision event. The geometry of the bow of the striking ship is idealised such that it can be described by only few parameters, still covering with sufficient accuracy almost all existing ship bows with and without bulbs. The model for the internal mechanics of the struck ship side is based on a set of so-called superelements. Each super-element represents an assembly of structural components and contains solutions for the structural behaviour of this assembly under deep collapse. By summing up the crushing force of each super-element, it is possible to determine the total contact load between the two involved ships. A number of parameter studies are presented where the sensitivity of the damage to the loading conditions and striking positions are illustrated. Furthermore, the difference between longitudinal and transverse bow stiffening has been examined. Transversely stiffened bows are shown to be significantly softer than longitudinally stiffened bows. Thirty collision events with five different striking vessels and six different struck vessels have been examined. The examples illustrate that the usual assumption of a rigid bow only holds true for certain categories of struck and striking vessels.

Marie Lützen

Papers

Selection of sustainable alternative energy source for shipping: multi-criteria decision making under incomplete information

Fuzzy multi-criteria decision-making method for technology selection for emissions reduction from shipping under uncertainties

Ship collision damage

Rapid Prediction of Damage to Struck and Striking Vessels in a Collision Event

A simplified grounding damage prediction method and its application in modern damage stability requirements