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.

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 ANN-BASED DECISION MODEL FOR THE REUSE OF VACANT BUILDINGS IN URBAN AREAS

2016 ◽  
Vol 20 (1) ◽  
pp. 31-43 ◽  
Author(s):  
Yin-Hao HSU ◽  
Yi-Kai JUAN
Keyword(s):  
Business Strategy ◽  
Urban Areas ◽  
Decision Model ◽  
Decision Support Tool ◽  
Life Cycles ◽  
Model Assessment ◽  
Local Conditions ◽  
Support Tool ◽  
Effective Decision Support ◽  
Operational Plan

Because of global urbanization and sustainable development trends, reusing vacant buildings is a crucial strategy employed in urban development and management. Reusing and adjusting the future service values of unused buildings to extend building life cycles is a sustainable approach that benefits society, the economy, and the environment. However, repurposed spaces are easily re-discarded because a comprehensive system and operational plan for assessing the effects of building reuse remains unestablished. The research framework adopted in this study was based on the seven factors of the AdaptSTAR model; assessment criteria for building reuse were then created. In addition, 62 types of reused building cases in Taiwan were investigated and a decision model for reuse type prediction and business strategy was constructed on the basis of artificial neural networks. The results indicated that the proposed decision model yielded a reuse type accuracy of 89% and a business strategy accuracy of 78%. This systematic approach can be adjusted according to local conditions and applied as an effective decision support tool.

scholarly journals Review and Comparative Study of Decision Support Tools for the Mitigation of Urban Heat Stress

Climate ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 102
Author(s):  
Aiman Mazhar Qureshi ◽  
Ahmed Rachid
Keyword(s):  
Heat Stress ◽  
Decision Support ◽  
Comparative Study ◽  
Decision Support Tool ◽  
Long Term Effects ◽  
Support Tool ◽  
Complex Interactions ◽  
Urban Heat ◽  
Effective Decision Support ◽  
New Policies

Over the last few decades, Urban Heat Stress (UHS) has become a crucial concern of scientists and policy-makers. Many projects have been implemented to mitigate Urban Heat Island (UHI) effects using nature-based solutions. However, decision-making and selecting an adequate framework are difficult because of complex interactions between natural, social, economic and built environments. This paper contributes to the UHI issue by: (i) identifying the most important key factors of a Decision Support Tool (DST) used for urban heat mitigation, (ii) presenting multi-criteria methods applied to urban heat resilience, (iii) reviewing existing spatial and non-spatial DSTs, (iv) and analyzing, classifying and ranking DSTs. It aims to help decision-makers through an overview of the pros and cons of existing DSTs and indicate which tool is providing maximum support for choosing and planning heat resilience measures from the designing phase to the heat mitigation phase. This review shows that Multi-Criteria Decision Analysis (MCDA) can be used for any pilot site and the criteria can be adapted to the given location accordingly. It also highlights that GIS-based spatial tools have an effective decision support system (DSS) because they offer a quick assessment of interventions and predict long-term effects of urban heat. Through a comparative study using specific chosen criteria, we conclude that the DSS tool is well suited and fulfils many prerequisites to support new policies and interventions to mitigate UHS.

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.

scholarly journals USING THE SLEUTH URBAN GROWTH MODEL COUPLED WITH A GIS TO SIMULATE AND PREDICT THE FUTURE URBAN EXPANSION OF CASABLANCA REGION, MOROCCO

2019 ◽  
Vol XLII-4/W12 ◽  
pp. 139-145
Author(s):  
A. Mallouk ◽  
H. Elhadrachi ◽  
M. E. I. Malaainine ◽  
H. Rhinane
Keyword(s):  
Urban Growth ◽  
Urban Expansion ◽  
Decision Support Tool ◽  
Well Being ◽  
Primary Concern ◽  
Urban Centers ◽  
Rapid Urbanization ◽  
Support Tool ◽  
Effective Decision Support ◽  
Using Data

<p><strong>Abstract.</strong> The rapid and sometimes uncontrolled acceleration of urban growth, particularly in developing countries, places increasing pressure on environment and urban population well-being, making it a primary concern for managers. In Casablanca city, Morocco’s economic capital, the rapid urbanization was a result of population explosion, rural exodus and the emergence of new urban centers. Therefore, a system for urban growth simulation and prediction to anticipate infrastructural needs became indispensable to optimize urban planning. The main aim of this work is to study the urban extension of the Grand Casablanca region from 1984 to 2022 and to predict urban growth in 2040 using the SLEUTH cellular automaton model. The methodology consists of calibrating the model using data extracted from a time series of satellite images with a resolution of 30 m acquired between 1984 and 2018, as well as vector data relating to the urban projects planned on the horizon of 2022. The supervised classification and digitization of these images, together with a DEM of the study area, provided the input data required by the model, including Slope, Land use, Exclusion, Transportation and Hillshade. This data was introduced into the model using ArcSLEUTH, a custom extension of ArcGIS to compile the SLEUTH model. The result is synthetic maps of urban growth in the study area up to 2040, as well as the expected percentage indicators of change. The result is an effective decision-support tool for decision-makers and planners to develop more informed development strategies for the region and its people.</p>

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

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