Silicon dynamics in the Oder estuary, Baltic Sea

Studies on dissolved silicate (DSi) and biogenic silica (BSi) dynamics were carried out in the Oder estuary, Baltic Sea in 2000–2005. The Oder estuary proved to be an important component of the Oder River–Baltic Sea continuum where very intensive seasonal DSi uptake during spring and autumn, but also BSi regeneration during summer take place. Owing to the regeneration process annual DSi patterns in the river and the estuary distinctly differed; the annual patterns of DSi in the estuary showed two maxima and two minima in contrast to one maximum- and one minimum-pattern in the Oder River. DSi concentrations in the river and in the estuary were highest in winter (200–250 μmol dm^− 3) and lowest (often less than 1 μmol dm^− 3) in spring, concomitant with diatom growth; such low values are known to be limiting for new diatom growth. Secondary DSi summer peaks at the estuary exit exceeded 100 μmol dm^− 3, and these maxima were followed by autumn minima coinciding with the autumn diatom bloom. Seasonal peaks in BSi concentrations (ca. 100 μmol dm^− 3) occurred during the spring diatom bloom in the Oder River. Mass balance calculations of DSi and BSi showed that DSi + BSi import to the estuary over a two year period was 103.2 kt and that can be compared with the DSi export of 98.5 kt. The difference between these numbers gives room for ca. 2.5 kt BSi to be annually exported to the Baltic Sea. Sediment cores studies point to BSi annual accumulation on the level of 2.5 kt BSi. BSi import to the estuary is on the level of ca. 10.5 kt, thus ca. 5 kt of BSi is annually converted into the DSi, increasing the pool of DSi that leaves the system. BSi concentrations being ca. 2 times higher at the estuary entrance than at its exit remain in a good agreement with the DSi and BSi budgeting presented in the paper.     

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Modelling nutrient fluxes from sub-arctic basins: Comparison of pristine vs. dammed rivers

The deterministic Riverstrahler model of river functioning is applied for the first time to sub-arctic catchments. Seasonal nutrient (N, P, Si) deliveries to the coastal zone are simulated, and nutrient annual fluxes are established for the nearly pristine river Kalix (hereafter called Kalixälven) and the heavily dammed river Lule, (hereafter called Luleälven) both located in Northern Sweden and draining into the Bothnian Bay, Baltic Sea.For Kalixälven simulations are performed with a runoff calculated from precipitation, evapo-transpiration and temperature data for the period 1990–1999, using a hydrological model calibrated on observed monthly discharges at the river outlet. The same hydrological parameters are used to calculate specific runoff for the Luleälven basin in absence of dam regulation. Reservoir filling and emptying are simulated using a simplified representation of their management rules. Diffuse sources of nutrient are evaluated according to land cover of the catchment. The simulated seasonal trends are within the range of the observed data, in particular for discharge, dissolved silica, total phosphorus, inorganic nitrogen and total organic carbon. Specific runoff is 50% higher in the Luleälven than in the Kalixälven watershed due to higher altitudes and precipitations. Average silica, nitrate and phosphorus concentrations are much lower in Luleälven than in Kalixälven. Comparison of model results for the Luleälven with and without dams shows a reduction of respectively 25% and 30% in silica and phosphorus fluxes delivered at the outlet, while nitrogen delivery is increased by 10% in the dammed vs. undammed river system. The model allows assessing the respective role of reservoir trapping of nutrient in the reservoir through algal uptake and sedimentation, and of changes in the vegetation induced by flooding the valley formerly covered by forests and wetlands.     

Conflict in the US maritime industry: An account of historical cycles

Historically there have been only two groups involved in the conflict that has engulfed the US maritime industry for the past fifty years maritime labour unions and shipping companies. The configuration of these groups at different times in this struggle, has led to distinct periods of conflict in the industry. This paper analyses the basis and continuation of the problem.     

An analysis of the pricing system in the Greek-Italian coastal routes

Price discrimination is practiced by oligopolistic coastal shipping companies in the 'unregulated' Greece-Italy routes in the year 2002. Investigation has been carried out 'per route'—in a doctoral thesis—instead of 'per market' which was the so-far erroneous approach of shipping economists. This is so for a host of differentiating factors play a considerable and non-negligible role (like geography, distance, demand, seasonality and others). Service—and price-discrimination—in coastal shipping is affected also by the predetermined ship design which thus is a special feature—but not exclusively—in coastal shipping. Companies in the Adriatic Sea try to extract the greater possible value of the user's willingness to pay, peak and off-peak, group and ungrouped, for social groups (clubs, families and students). Marketing and economics interfere in a complicated—far from the nice world of theory—situation, where maximization of revenue and profit, capacity utilization, intense seasonality and high fixed cost (common and joint costs as well) are a few of the factors that interplay. This paper can be considered as a case study for applied pricing. Excess capacity is also a strategic factor affecting pricing. It is our opinion that the analysis here gives for the first time a complete theoretical and practical account—based on the price lists of the companies—of the pricing policy of the ferry boats running in the Adriatic Sea belonging to coastal shipping companies connecting Italy with Greece and Greece with the European Union (EU). We believe this work to be useful for maritime Europe.     

A regression on climate policy: The European Commission’s legislation to reduce CO2 emissions from automobiles

As part of its efforts to reach the targets of the Kyoto Protocol, in April 2009 the European Commission enacted new legislation to reduce the per-kilometer CO₂ emissions of newly registered automobiles. This paper critically assesses this legislation with respect to its economic and technological underpinnings. First, we argue that the reliance on targets based on per-kilometer emissions not only conceals the true cost of compliance and thereby stifles informed public discourse, but is also less cost-effective than alternative measures such as emissions trading. Second, the emission targets stipulated in this legislation are based on linear-regression methods that we demonstrate to be poorly justified and misleading. Using instead stochastic-frontier analysis, which is argued to more accurately reflect the industry’s technological status quo, alternative targets are consequently proposed.     

Combinatorial programming,statistical optimization and the optimal transportation network problem

This paper presents and evaluates a branch and bound algorithm and two heuristic hill-climbing techniques to solve a discrete formulation of the optimal transportation network design problem. For practical applications it is proposed to combine a hill-climbing algorithm with a uniform random generation of the initial solutions, thereby inducing a statistical distribution of local optima. In order to determine when to stop sampling local optima and in order to provide an estimate of the exact optimum based on the whole distribution of local optima, we follow previous work and fit a Weibull distribution to the empirical distribution of local optima. Several extensions are made over previous work: in particular, a new confidence interval and a new stopping rule are proposed. The numerical application of the statistical optimization methodology to the network design algorithms consolidates the empirical validity of fitting a Weibull distribution to the empirical distribution of local optima. Numerical experiments with hill-climbing techniques of varying power suggest that the method is best applied with heuristics of intermediate quality: such heuristics provide many distinct sample points for statistical estimation while keeping the confidence intervals sufficiently narrow.     

Online and in-store purchase behavior: shopping channel choice in a developing economy

Transportation - Developing economies are still in the stage of e-commerce deployment, unlike in developed countries, where online shopping is already a common purchase channel. This research aims...     

Impacts of the 2004 Tsunami on Surin Marine National Park,Thailand

The impacts of the tsunami in 2004 on the reefs in Surin Marine National Park, Thailand, varied with the location and exposure of the reefs. Channel areas between islands were severely damaged. Areas with steep reef slopes were damaged by sand slides or coral collapse more than areas with low slopes. Massive, sub-massive, and encrusting corals were more resistant and resilient to the direct impact of the tsunami than branching, tabulate, and foliose life forms whereas the latter were more tolerant of temporary coverage by sand. Sub-massive corals were the most tolerant overall and survived sand coverage, breakage, and overturning. Live coral cover measured three months after the tsunami was significantly greater than immediately post-tsunami as broken, moved, or sand-covered corals, recorded as impacted in the initial survey, had survived and were regenerating. Low turbidity, lack of pollution, and mild currents possibly contributed to rapid recovery and limited long-term effects of the tsunami. Impact assessment shortly after a major disturbance may give an initial measure of damage but subsequent surveys must be undertaken to identify long-term effects. Understanding patterns of reef damage can help to formulate reef zoning and protection strategies in response to catastrophic events, but also in advance of such events to improve likely resilience of the marine park to disturbance.     

Spatial allocation on a network with congestion

This article formalizes the land use design problem as a discrete-convex programming problem integrating within a quadratic assignment framework a realistic representation of transportation behavior (automobile congestion and variable demand for travel) as modelled by a combined trip distribution trip assignment model. Hill-climbing algorithms are proposed to solve the resulting optimization problem. Their performance is compared and evaluated on a set of test problems.