Optimal Location of River Sampling Stations: A Case Study

Author(s):  
Lino J. Alvarez-Vázquez ◽  
Aurea Martínez ◽  
Miguel E. Vázquez-Méndez ◽  
A. W. Pollak ◽  
J. Jeffrey Peirce
Keyword(s):  
Author(s):  
Mauro Felipe Berumen Calderón ◽  
Damayanti Estolano Cristerna ◽  
Angelica Selene Sterling Zozoaga ◽  
Andreé Ricardo Berumen Calderón

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2306 ◽  
Author(s):  
Christos Vlachokostas ◽  
Charisios Achillas ◽  
Ioannis Agnantiaris ◽  
Alexandra V. Michailidou ◽  
Christos Pallas ◽  
...  

Lately, the model of circular economy has gained worldwide interest. Within its concept, waste is viewed as a beneficial resource that needs to be re-introduced in the supply chains, which also requires the use of raw materials, energy, and water to be minimized. Undeniably, a strong link exists between the bioeconomy, circular economy, bioproducts, and bioenergy. In this light, in order to promote a circular economy, a range of alternative options and technologies for biowaste exploitation are currently available. In this paper, we propose a generic methodological scheme for the development of small, medium, or large-scale units of alternative biowaste treatment, with an emphasis on the production of bioenergy and other bioproducts. With the use of multi-criteria decision analysis, the model simultaneously considers environmental, economic, and social criteria to support robust decision-making. In order to validate the methodology, the latter was demonstrated in a real-world case study for the development of a facility in the region of Serres, Greece. Based on the proposed methodological scheme, the optimal location of the facility was selected, based on its excellent assessment in criteria related to environmental performance, financial considerations, and local acceptance. Moreover, anaerobic digestion of agricultural residues, together with farming and livestock wastes, was recommended in order to produce bioenergy and bioproducts.


2018 ◽  
Vol 10 (2) ◽  
pp. 65-79 ◽  
Author(s):  
Shabbir Uddin ◽  
Sandeep Chakravorty ◽  
Amitava Ray ◽  
Karma Sonam Sherpa

In this article, methodologies have been proposed for site selection of sub-station considering technical and non-technical constraints. Firstly, a systematic frame has been developed considering various factors that influence the optimal location of the sub-station. Various factors considered are evaluated using DEMATEL-QFD. An evaluation has been done between the outcome of the TOPSIS (Technique for order preference by similarity to ideal solution) method and the COPRAS (Compressed Proportional Assessment) method. Finally, Spearman rank co-relation co-efficients indicates the strength of association of both the methodologies. A case study is done using GIS to prove the justification of the methodologies to the applied area. The application of the methodologies will help the decision maker improve the plan, location and grid renovation of the distribution sub-stations.


2015 ◽  
Vol 2 (4) ◽  
pp. 23-44 ◽  
Author(s):  
Kaibo Liu ◽  
Jianjun Shi

Business data analytics is a process of utilizing analytic techniques for resolving business issues based on business performance data. While the avalanche of business data creates unprecedented opportunity, it also poses three fundamental challenges for analytics: (1) Business data often encounters quality issues and needs substantial cleaning efforts; (2) Business data is large in overall size but cannot be fully shared due to the concern of data security; and (3) Business data often needs to be cross-referenced with public databases to reveal more information and knowledge. Due to these challenges, the leading obstacle at many organizations is the lack of a systematic approach to understanding how to leverage the business data analytics techniques to transfer from data-rich into decision-smart. To answer this question, this article proposes a systematic step-by-step procedure for business data analytics. This proposed framework is illustrated and validated by a real case study that involves choosing an optimal location for opening of a new retail site.


Author(s):  
Jagannadha Rao Naraparaju ◽  
Raghunandan A. Karamcheti ◽  
Z. Y. Wang

In this paper, a procedure to determine the optimal location of a distribution warehouse, from which products are sent out to a group of companies has been studied. The goal was to minimize annual transportation distance between the warehouse and the customers. Fundamentals of mathematics have been used to formulate a virtual map showing the location of the present customers. Mathematical models and equations were developed making certain assumptions and an optimal location for the warehouse has been determined. Various factors that are involved in relocating the warehouse have been considered. Also a solution is given for the optimal location of a satellite or an auxiliary warehouse in addition to the existing one. A case study has been conducted on the model with the help of various numerical examples. Based on the optimal location of the relocated warehouse and the satellite warehouse obtained, the reductions in the transport costs were estimated. Once the optimal warehouse location has been found out, the next step was to find out an optimal route (least travel distance) for a practical case in which several companies have to be supplied with necessary products from one warehouse in a single trip. For this purpose, mathematical models were created and optimal routing algorithms were developed. Case studies have been conducted with the help of numerical examples. High amounts of savings in terms of travel distances, costs and time could be observed by the implementation of these algorithms.


2018 ◽  
Vol 43 (1) ◽  
pp. 100-114 ◽  
Author(s):  
Mostafa Rezaei ◽  
Ali Mostafaeipour ◽  
Mojtaba Qolipour ◽  
Reza Tavakkoli-Moghaddam

Geosciences ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 107 ◽  
Author(s):  
Jacek Rapinski ◽  
Artur Janowski

Modern Global Navigation Satellite Systems (GNSS) allow for positioning with accuracies ranging from tens of meters to single millimeters depending on user requirements and available equipment. A major disadvantage of these systems is their unavailability or limited availability when the sky is obstructed. One solution is to use additional range measurements from ground-based nodes located in the vicinity of the receiver. The highest accuracy of distance measurement can be achieved using ultra wide band (UWB) or ZigBee phase shift measurement. The position of the additional transmitter must be carefully selected in order to obtain the optimal improvement in the dilution of precision (DOP), which reflects the improvement in the geometry of solution. The presented case study depicts a method for selecting the optimal location of a ground-based ranging source. It is based on a search of a minimum DOP value as a transmitter location function. The parameters of objective function are the elevation and azimuth of the transceiver. The solution was based on a limited-memory Broyden–Fletcher–Goldfarb–Shanno with Box constraints (L-BFGS-B) method and a numerical optimization algorithm for parameter value estimation. The presented approach allows for the selection of the optimal location of a ground-based source of ranging signals in GNSS processing from a geometry of solution point of view. This can be useful at the design stage of an augmentation network of ground-based transceivers. This article presents a theoretical basis and a case study presenting the selection of the optimal location of a ground-based ranging source.


Author(s):  
Huaguo Zhou ◽  
Peter Hsu ◽  
Jian John Lu ◽  
John E. Wright

Many state and local transportation agencies have considered using U-turns as alternatives to direct left turns from driveways or side streets. Median designs are used that prohibit left turns onto the facility and mid-block U-turn median openings to accommodate diverted left turns from side streets or driveways. The location of these U-turn median openings has a great impact on the operations of U-turns. Traffic operations (weaving and delay) for right turns followed by U-turn movements on urban or suburban multilane roadways were analyzed. A working model was developed to guide the location of U-turn median openings by minimizing the average delay for U-turn movements. A case study demonstrates the operational and safety benefits of optimal U-turn median opening location.


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