scholarly journals Mathematical Modeling of Ice Dynamics as a Decision Support Tool in River Engineering

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1241 ◽  
Author(s):  
Tomasz Kolerski
Keyword(s):  
Mathematical Model ◽  
Decision Support Tool ◽  
River Ice ◽  
Ice Dynamics ◽  
Support Tool ◽  
Ice Jams ◽  
Odra River ◽  
Ice Conditions ◽  
Winter Flooding ◽  
River Current

The prediction of winter flooding is a complicated task since it is affected by many meteorological and hydraulic factors. Typically, information on river ice conditions is based on historical observations, which are usually incomplete. Recently, data have been supplemented by information extracted from satellite images. All the above mentioned factors provide a good background of the characteristics of ice processes, but are not sufficient for a detailed analysis of river ice, which is highly dynamic and has a local extent. The main aim of this paper is to show the possibility of the prediction of ice jams in a river using a mathematical model. The case of the Odra River was used here. Within the Lower and Middle Odra River, the most significant flood risk, in winter conditions, is posed by ice jams created when movable ice is stopped by existing obstacles such as shallow areas in the riverbed, the narrowing of the riverbed, and other obstacles caused as a result of sudden changes of the river current, backwater from sea waters, and north winds, which contribute to the creation of ice jams. This in turn causes the damming of water and flooding of adjacent areas. The DynaRICE model was implemented at two locations along the Odra River, previously selected as ice-prone areas. Also, a thermal simulation of ice cover formation on Lake Dąbie was shown with variable discharge. The results of numerical simulations showed a high risk of ice jamming on the Odra River, created within one day of ice moving downstream. The prediction of the place and timing, as well as the extent, of the ice jam is impossible without the application of a robust mathematical model.

scholarly journals Automated Toolkit for Encouraging a Producer to Use Innovative Technologies in Environmentally Oriented Economic Development of Mining Regions

2019 ◽  
Vol 105 ◽  
pp. 03020 ◽  
Author(s):  
Alexey Medvedev ◽  
Ivan Kislyakov ◽  
Yevgheniya Prokopenko ◽  
Maria Semenkina ◽  
Kristina Brester
Keyword(s):  
Mathematical Model ◽  
Decision Support Tool ◽  
Economic Potential ◽  
Support Tool ◽  
Control Center ◽  
Best Available Technologies ◽  
Regional Control ◽  
Mining Region ◽  
Economic Interaction ◽  
Effective Decision Support

The automated toolkit for assessing environmental and investment attractiveness of a mining region and the results of its application are discussed in the article. This toolkit includes the optimization mathematical model, the algorithms for the interaction between a regional control center and a producer within the territory, as well as the automated software package for their analysis. The use of the optimization mathematical model makes it possible to take into account the maximum economic potential of a producer, which determines, respectively, a mining region’s environment pollution potential. Accounting for environmental risks will allow the control center or other decision makers to identify not only the optimal pattern of eco-economic interaction in the region, but also reflect changes in the environmental and investment climate as a combination of economic potential and involved risks. The model and the algorithms of interaction between a regional control center and a producer, as well as the results of their numerical analysis given in this paper, allow considering this toolkit as an effective decision support tool aimed at improving environmental and investment attractiveness of a mining region by encouraging a producer to use the best available technologies and conserve the natural environment.

COSSARC: Concept Selection for Shipping in the Arctic

2013 ◽  
Author(s):  
Janne Valkonen ◽  
Grunde Løvoll ◽  
Magnus Strandmyr Eide ◽  
Erik Løkken Walter
Keyword(s):  
Climate Models ◽  
Open Water ◽  
Decision Support Tool ◽  
The Arctic ◽  
Concept Selection ◽  
Support Tool ◽  
Ice Conditions ◽  
Selection For ◽  
High Degree ◽  
Ship Performance

Increased global demand for oil, gas and minerals combined with melting sea ice opens new opportunities for shipping companies, both in the form of new Arctic shipping routes and extended use of existing ones. It can be challenging for a ship owner to make informed decisions and plan for Arctic operations, as it requires complex techno-economical assessments of information that has a high degree of uncertainty. To aid ship-owners in making decisions for operation in the Arctic, DNV has developed a prototype decision support tool to assess strategic options: COSSARC — Concept Selection for Shipping in the Arctic. The tool integrates detailed models for ship performance both in ice and in open water with port and route alternatives to simulate travel time, fuel consumption, emissions and overall economics. The tool makes use of stochastic models for wave and ice conditions, but specific historical data or model data from climate models can also be taken as input. In this paper, the COSSARC tool is described, including a case study demonstrating the capabilities of the tool.

Supply Chain Modeling for a Process Industry

2017 ◽  
Vol 8 (2) ◽  
pp. 36-55 ◽  
Author(s):  
Nils-Hassan Quttineh ◽  
Helene Lidestam ◽  
Mårten Ahlstedt ◽  
Sven Olsson
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Decision Support ◽  
Programming Model ◽  
Decision Support Tool ◽  
Process Industry ◽  
Mixed Integer ◽  
Budget Process ◽  
Process Industries ◽  
Support Tool

Process industries of today differ from other industries in many aspects. The purpose of this paper is to consider these special properties of process industries when developing a mathematical model that can be used as a decision support tool for the supply chain planning for a chemical process industry in Sweden. A mixed-integer linear programming model is developed, and solutions to the model present how the products will be transported between the different sites of the company, the levels of the inventories, the setups and purchases from the external suppliers and also the production rates. The mathematical model takes many special properties regarding process industries into account. By using the results from the model and test different scenarios, the model can be used as an important support tool when making decisions. The decision support tool can for example be used in the company's budget process and thereby improve the chances of future profits increases.

A protocol for sampling pastures in hill country

2016 ◽  
Vol 78 ◽  
pp. 203-209 ◽  
Author(s):  
K.J. Hutchinson ◽  
D.R. Scobie ◽  
J. Beautrais ◽  
A.D. Mackay ◽  
G.M. Rennie ◽  
...  
Keyword(s):  
Random Sampling ◽  
Geographical Information Systems ◽  
Field Measurements ◽  
Decision Support Tool ◽  
Accurate Estimate ◽  
Ease Of Use ◽  
Geographical Information ◽  
Support Tool ◽  
Topographic Complexity ◽  
Hill Country

To develop a protocol to guide pasture sampling for estimation of paddock pasture mass in hill country, a range of pasture sampling strategies, including random sampling, transects and stratification based on slope and aspect, were evaluated using simulations in a Geographical Information Systems computer environment. The accuracy and efficiency of each strategy was tested by sampling data obtained from intensive field measurements across several farms, regions and seasons. The number of measurements required to obtain an accurate estimate was related to the overall pasture mass and the topographic complexity of a paddock, with more variable paddocks requiring more samples. Random sampling from average slopes provided the best balance between simplicity and reliability. A draft protocol was developed from the simulations, in the form of a decision support tool, where visual determination of the topographic complexity of the paddock, along with the required accuracy, were used to guide the number of measurements recommended. The protocol was field tested and evaluated by groups of users for efficacy and ease of use. This sampling protocol will offer farmers, consultants and researchers an efficient, reliable and simple way to determine pasture mass in New Zealand hill country settings. Keywords: hill country, feed budgeting, protocol pasture mass, slope

Neural Network Ensemble Approach to Pushed Convoys Dispatching Problems

2020 ◽  
Vol 27 (1) ◽  
pp. 70-82 ◽  
Author(s):  
Aleksandar Radonjić ◽  
Danijela Pjevčević ◽  
Vladislav Maraš
Keyword(s):  
Neural Network ◽  
Decision Support Tool ◽  
Primary Objective ◽  
Danube River ◽  
Decision Making Process ◽  
Neural Network Ensemble ◽  
Support Tool ◽  
Shipping Company ◽  
The Republic ◽  
Power Measurements

AbstractThis paper investigates the use of neural networks (NNs) for the problem of assigning push boats to barge convoys in inland waterway transportation (IWT). Push boat–barge convoy assignmentsare part of the daily decision-making process done by dispatchers in IWT companiesforwhich a decision support tool does not exist. The aim of this paper is to develop a Neural Network Ensemble (NNE) model that will be able to assist in push boat–barge convoy assignments based on the push boat power.The primary objective of this paper is to derive an NNE model for calculation of push boat Shaft Powers (SHPs) by using less than 100% of the experimental data available. The NNE model is applied to a real-world case of more than one shipping company from the Republic of Serbia, which is encountered on the Danube River. The solution obtained from the NNE model is compared toreal-world full-scale speed/power measurements carried out on Serbian push boats, as well as with the results obtained from the previous NNE model. It is found that the model is highly accurate, with scope for further improvements.

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