Improving the coexistence of offshore wind farms and shipping: an international comparison of navigational risk assessment processes

The continued growth and evolution of the offshore wind industry, and the emergence of other novel marine uses such as wave and tidal generators, have upped the ante for spatial planners, as well as consenting and approval authorities in various coastal states. These stakeholders rely on processes such as navigational risk assessments (NRAs) to balance safety and efficiency requirements and to make optimal decisions over use of space. Given the increasingly complex and crowded seascape, however, there are some apprehensions about potential shortcomings in these NRA processes. There is also some concern that these inadequacies may lead to unsafe or inefficient marine spatial use. To understand how NRA processes can be improved further, a literature review is conducted, followed by a survey of respondents who are involved in the planning, consenting and/or approval of offshore wind farms across seven different countries. A summary of the NRA processes in these seven countries is presented, and several shortcomings are identified. Based on the findings of the survey, a list of recommendations is presented to enhance existing NRA processes—and to improve the coexistence of shipping and offshore wind farms (OWFs).     

CaPaSIM statement of methods

In the present paper, the method for calculation of the dynamic pantograph–catenary interaction developed by the Royal Institute of Technology and the Swedish National Rail/Road administration (Trafikverket) is described and the results of the benchmark exercise are discussed. The method is based on the commercial Finite Element software ANSYS. The geometry of the catenary and pantograph is defined in a pre-processor, BARTRAD, developed by Trafikverket, and is automatically translated into an ANSYS model. Basically all types of catenary systems could be handled as well as different types of non-linearity. There are both 2D and 3D versions of the code existing. The results achieved in this first stage of the benchmark are well in line with the results from the other partners in the benchmark study     

Benthic habitat quality assessment of an oxygen stressed fjord by surface and sediment profile images

In May and October 1994 the benthic habitats in Havstensfjord (26 km²), a seasonally oxygen stressed stratified fjord, were classified by taking sediment surface and sediment profile images (SPI) at 90 stations, randomized into nine strata. Qualitative grab samples for faunal inspection were taken at about of the stations in both May and October to help to identify objects in the images. The images give information on sediment characteristics (texture, oxic/anoxic conditions, lamination) which often can be related to functional properties of the macrofauna (burrows, tubes, feeding voids, reworked sediment) or to observations on benthic epifauna. In combination, such variables mirror the quality of the benthic habitat. Analysis of sediment profile images was done with multivariate methods [Benthic Habitat Quality (BHQ) index] and univariate statistical methods to describe differences between areas and depths. Variance analysis of BHQ indices indicated a significant interaction between area and depth. In both the northeast and northwest strata the oxygen stress had induced a habitat degradation at depths deeper than 25 m compared to shallower northwest and northeast strata and all south depth strata. No significant difference in mean BHQ index was found between May and October. We discuss the potential application of the SPI technique for efficient monitoring oxygen stressed marine coastal areas.     

后桥钢板激光-MIG复合焊接优化研究

研究了两种后桥桥壳用低合金钢板在激光-MIG复合焊接中,接头形状、接头间隙及MIG参数变化(大、中、小MIG参数)对焊缝形状及焊缝喉厚的影响.研究结果表明,MIG参数应设置成大、中MIG参数水平,以保证在一定的接头间隙下有充足的焊接材料填入间隙而形成部分焊透的焊缝,使焊缝喉厚满足焊接强度要求;过高的MIG输入能量和过多的焊料(丝)填入将导致焊缝横截面积增大,但对焊缝喉厚的影响不是很明显;当MIG参数设置成小MIG参数水平时,0.5 mm的接头间隙或切角面为3 mm×2 mm时,对获得较大的焊缝喉厚有利.     

Voluntary internalization of speeding externalities with vehicle insurance

High speed is an important determinant of accidents for speeders as well as for other motorists. This paper develops a framework for analyzing instruments that encourage drivers to internalize the full consequences of their behavior with respect to choice of speed using Pay-As-You-Speed (PAYS) insurance, possibly as an extension of Pay-As-You-Drive (PAYD) insurance. We demonstrate how the combination of a Pigovian taxation scheme and PAYS can be designed in a setting involving two principals (the state and an insurance company) that affect the incentives of commuters to choose between driving and other modes of transport and for those that use the car mode to drive carefully. While the government is assumed to maximize overall social efficiency and therefore wants to implement marginal cost pricing, insurance companies do actuarial pricing, i.e. average cost pricing within risk classes that are homogeneous to the degree that the insurers have information about actual behavior. PAYS insurance improves the insurance industry’s possibility to differentiate premiums according to behavior and therefore to target risk classes in a better way than today. Moreover, since our framework is designed to accomplish differentiation by self-selection, compulsory regulation is not necessary, although there may be reason for the government to facilitate the implementation of the new technology.