scholarly journals Developing a GIS-Based Decision Rule for Sustainable Marine Aquaculture Site Selection: An Application of the Ordered Weighted Average Procedure

2021 ◽  
Vol 13 (5) ◽  
pp. 2672
Author(s):  
Elham Haghshenas ◽  
Mehdi Gholamalifard ◽  
Nemat Mahmoudi ◽  
Tiit Kutser
Keyword(s):  
Site Selection ◽  
Caspian Sea ◽  
Weighted Average ◽  
Weighted Averaging ◽  
Maximum Temperature ◽  
Risk Level ◽  
Operating Characteristics ◽  
The Caspian Sea ◽  
Marine Aquaculture ◽  
Ordered Weighted Average

Fish consumption is on the increase due to the increase in growth of the global population. Therefore, taking advantage of new methods such as marine aquaculture can be a reliable source for the production of fish in the world. It is necessary to allocate suitable sites from environmental, economic, and social points of view in the decision-making process. In this study, in order to specify suitable areas for marine aquaculture by the Ordered Weighted Averaging (OWA) methodology in the Caspian Sea (Iran), efforts were made to incorporate the concept of risk into the GIS-based analysis. By using the OWA-based method, a model was provided which can generate marine aquaculture maps with various pessimistic or optimistic strategies. Eighteen modeling criteria (14 factors and 4 constraints) were considered to determine the appropriate areas for marine aquaculture. This was done in 6 scenarios using multi-criteria evaluation (MCE) and ordered weighted average (OWA) methodologies. The results of the sensitivity analysis showed that most of the parameters affecting the marine aquaculture location in the region were as follows: Social-Economic, Water Quality, and Physical–Environmental parameters. In addition, based on Cramer’s V coefficient values for each parameter, bathymetry and distance from the coastline with the most effective and maximum temperature had the least impact on site selection of marine aquaculture. Finally, the final aggregated suitability image (FASI) of weighted linear combination (WLC) scenario was compared with existing sites for cage culture on the southern part of the Caspian Sea and the ROC (Relative Operating Characteristics) value turned out to be equal to 0.69. Although the existing sites (9 farms) were almost compatible with the results of the study, their locations can be transferred to more favorable areas with less risk and the mapping risk level can be controlled and low- or high-risk sites for marine aquaculture could be determined by using the OWA method.

scholarly journals Site Selection of Waste-to-Energy (WtE) Plant considering Public Satisfaction by an Extended VIKOR Method

2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Yunna Wu ◽  
Lei Qin ◽  
Chuanbo Xu ◽  
Shaoyu Ji
Keyword(s):  
Site Selection ◽  
Weighted Average ◽  
Computational Procedure ◽  
Waste To Energy ◽  
Weighted Averaging ◽  
Vikor Method ◽  
The Public ◽  
Evaluation Group ◽  
Whole Life Cycle ◽  
Selection Of

Site selection of waste-to-energy (WtE) plant is critically important in the whole life cycle. Some research has been launched in the WtE plant site selection, but there is still a serious problem called Not In My Back Yard (NIMBY) effect that needs to be solved. To solve the problem, an improved multigroup VIKOR method is proposed to choose the optimal site and compromised sites. In the proposed method, the public satisfaction is fully considered where the public is invited as an evaluation group far more than creating general indicators to represent the public acceptance. First of all, an elaborate criteria system is built to evaluate site options comprehensively and the weights of criteria are identified by Analytic Hierarchy Process (AHP) method. Then, the interval 2-tuple linguistic information is adopted to assess the ratings for the established criteria. The interval 2-tuple linguistic ordered weighted averaging (ITL-OWA) operator is utilized to aggregate the opinions of evaluation committee while the opinions of the public are aggregated using weighted average operator. Finally, a case from south China which shows the computational procedure and the effectiveness of the proposed method is proved. Last but not least, a sensitivity analysis is conducted by comparing the results with different weights of evaluation group assessments.

A multi-criteria evaluation method for sturgeon farming site selection in the southern coasts of the Caspian Sea

Aquaculture ◽  
2019 ◽  
Vol 513 ◽  
pp. 734416 ◽  
Author(s):  
Saeid Esmaeilpour-Poodeh ◽  
Rasoul Ghorbani ◽  
Seyed Abbas Hosseini ◽  
Abdolrassoul Salmanmahiny ◽  
Hassan Rezaei ◽  
...  
Keyword(s):  
Site Selection ◽  
Caspian Sea ◽  
Evaluation Method ◽  
The Caspian Sea ◽  
Multi Criteria Evaluation

scholarly journals Analysis of risk level at oil production on the shelf of the Caspian Sea

2021 ◽  
pp. 076-084
Author(s):  
Nurushev MZH ◽  
Diarov MD ◽  
Nurusheva A
Keyword(s):  
Comparative Analysis ◽  
Gulf Of Mexico ◽  
Caspian Sea ◽  
Oil And Gas ◽  
Oil Production ◽  
Risk Level ◽  
The Caspian Sea ◽  
Gas Emissions ◽  
Scientific Substantiation

The authors considered the rational reasons of effective measures for prevention and liquidation of catastrophic of emission of oil and gas in case of production of oil and gas in the Kazakhstani sector of the Caspian Sea. The comparative analysis with the accident on the Gulf of Mexico (USA) is carried out. Scientific substantiation of effective measures to prevent and to eliminate oil and gas emissions catastrophe on the Kazakhstani sector of the Caspian Sea is carried out. Currently, Kazakhstan produces 1.6 million barrels a day, which allows us to be among the world’s top twenty oil producers. In the next 15 years we plan to double these figures - we have a new field in Tenghiz, Kashagan. The USA’s companies such as ExxonMobil, Chevron want to continue to invest in this area.

scholarly journals Bonferroni Probabilistic Ordered Weighted Averaging Operators Applied to Agricultural Commodities’ Price Analysis

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1350 ◽  
Author(s):  
Luis F. Espinoza-Audelo ◽  
Maricruz Olazabal-Lugo ◽  
Fabio Blanco-Mesa ◽  
Ernesto León-Castro ◽  
Victor Alfaro-Garcia
Keyword(s):  
Weighted Average ◽  
Global Market ◽  
Weighted Averaging ◽  
Agricultural Commodity ◽  
Data Set ◽  
Ordered Weighted Averaging ◽  
Price Estimation ◽  
Ordered Weighted Average ◽  
Price Analysis ◽  
Mathematical Process

Financial markets have been characterized in recent years by their uncertainty and volatility. The price of assets is always changing so that the decisions made by consumers, producers, and governments about different products is not still accurate. In this situation, it is necessary to generate models that allow the incorporation of the knowledge and expectations of the markets and thus include in the results obtained not only the historical information, but also the present and future information. The present article introduces a new extension of the ordered weighted averaging (OWA) operator called the Bonferroni probabilistic ordered weighted average (B-POWA) operator. This operator is designed to unify in a single formulation the interrelation of the values given in a data set by the Bonferroni means and a weighted and probabilistic vector that models the attitudinal character, expectations, and knowledge of the decision-maker of a problem. The paper also studies the main characteristics and some families of the B-POWA operator. An illustrative example is also proposed to analyze the mathematical process of the operator. Finally, an application to corn price estimation designed to calculate the error between the price of an agricultural commodity using the B-POWA operator and a leading global market company is presented. The results show that the proposed operator exhibits a better general performance than the traditional methods.

THE NUMBER AND QUALITATIVE CHARACTERISTICS OF FRY FISH IN SHALLOW COASTAL WATERS OF THE VOLGA IN THE SUMMER-AUTUMN PERIOD OF 2012

2017 ◽  
pp. 65-73
Author(s):  
Edward Vladimirovich Nikitin
Keyword(s):  
Fish Species ◽  
Coastal Waters ◽  
Caspian Sea ◽  
The Caspian Sea ◽  
Volga River ◽  
Commercial Fish ◽  
Autumn Period ◽  
Fish Juveniles ◽  
Qualitative Characteristics ◽  
Shallow Coastal Waters

Shallow coastal waters of the Volga river is a flooded feeding area for fish juveniles of nonmigratory fish species. There takes place annual downstream migration of fluvial anadromous fish species from spawning grounds of the Volga river to the Northern Caspian Sea. The most important factors determining the number and qualitative characteristics of fry fishes are the level of the Caspian Sea (currently having a tendency to the lowering), hydrological and thermal regimes of the Volga river. Researches were carried out in definite periods of time. In the summer-autumn period of 2012 fry fishes were presented by 19 species (13 of them were commercial species), which belonged to 9 families. The article gives data on all the commercial fish species. In the first decade of July the maximum number of fry fish was registered in the western part of the Volga outfall offshore - in box 247 (19.86 mln specimens/km2), in the eastern part - in box 142 (20.4 mln specimens/km2). The most populous were roach, red-eye, silver bream and bream; size-weight characteristics were better in the areas remoted from the Volga delta. In the third decade of July the quantitative indicators of fry fish on these areas decreased, size-weight characteristics greatly increased. In the second decade of October in the western part of the seaside there were registered increased pre-wintering concentrations of fish juveniles, their qualitative indicators increased, which is evidence to favorable feeding conditions in 2012.

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