Sediment analysis and modelling based approach for optimal allocation of riverine sandbar for socio economic benefits

2021 ◽  
Vol 173 ◽  
pp. 106415
Author(s):  
Gaurav Talukdar ◽  
Arup Kumar Sarma ◽  
Rajib Kumar Bhattacharjya
Keyword(s):  
Optimal Allocation ◽  
Economic Benefits ◽  
Sediment Analysis

scholarly journals Optimal Allocation of Surface Water Resources at the Provincial Level in the Uzbekistan Region of the Amudarya River Basin

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1446
Author(s):  
Min Wang ◽  
Xi Chen ◽  
Ayetiguli Sidike ◽  
Liangzhong Cao ◽  
Philippe DeMaeyer ◽  
...  
Keyword(s):  
River Basin ◽  
Water Allocation ◽  
Water Distribution ◽  
Optimal Allocation ◽  
Probability Distributions ◽  
Economic Benefits ◽  
Aral Sea ◽  
Incoming Flow ◽  
Provincial Level ◽  
Water Users

Water users in the Amudarya River Basin in Uzbekistan are suffering severe water use competition and uneven water allocation, which seriously threatens ecosystems, as shown, for example, in the well-known Aral Sea catastrophe. This study explores the optimized water allocation schemes in the study area at the provincial level under different incoming flow levels, based on the current water distribution quotas among riparian nations, which are usually ignored in related research. The optimization model of the inexact two-stage stochastic programming method is used, which is characterized by probability distributions and interval values. Results show that (1) water allocation is redistributed among five different sectors. Livestock, industrial, and municipality have the highest water allocation priority, and water competition mainly exists in the other two sectors of irrigation and ecology; (2) water allocation is redistributed among six different provinces, and allocated water only in Bukhara and Khorezm can satisfy the upper bound of water demand; (3) the ecological sector can receive a guaranteed water allocation of 8.237–12.354 km3; (4) under high incoming flow level, compared with the actual water distribution, the total allocated water of four sectors (except for ecology) is reduced by 3.706 km3 and total economic benefits are increased by USD 3.885B.

Research on Financial Management Method of Fixed Assets of Large Enterprise Based on Computer Information Technology

2013 ◽  
Vol 380-384 ◽  
pp. 4676-4680
Author(s):  
Wei Hua Xia
Keyword(s):  
Financial Management ◽  
Optimal Allocation ◽  
Economic Benefits ◽  
Production Costs ◽  
Allocation Model ◽  
Large Enterprise ◽  
Financial Investment ◽  
Manufacturing Enterprises ◽  
Fixed Assets ◽  
Large Enterprises

for large enterprises, the fixed assets of enterprise are the material foundation for the development of enterprises. It is of important significance to do well the financial management of fixed assets. In China, many large enterprises are the manufacturing enterprises. The profit space of manufacturing enterprises is relatively low. In this case, it must strengthen the management level of enterprise fixed assets, improve the use efficiency of fixed assets, reduce production costs, so as to make the enterprises have a greater economic benefits. In this background, this paper has established the financial management scheme controlled by computer for the fixed assets of large enterprise, and has established the investment planning mathematical model of the double financial management of the fixed assets. Besides, it has made rational financial allocation of fixed assets for the large enterprises, which has obtained the financial management objective function of enterprises maximum benefits. Finally, the paper combines with the VB computer information software, it takes a large enterprise as an example to control the program for its financial investment, and obtains the optimal allocation model of fixed assets, which provides theoretical guidance for the study of financial management of large enterprises.

Optimal DG Deployment Based on Technical and Economic Considerations with Daily Load Variation

2019 ◽  
Vol 45 ◽  
pp. 115-131
Author(s):  
Hossam A. Abd El-Ghany ◽  
Ahmed Mohamed Azmy ◽  
Mohamed Saad
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Optimal Allocation ◽  
Stability Index ◽  
Problem Formulation ◽  
Voltage Regulation ◽  
Economic Benefits ◽  
Load Variations ◽  
Emission Effect ◽  
Daily Load

The concept of distributed generation (DG) has been developed as a hopeful solution to meet the demand increase in distribution systems. The optimal DG deployment in the distribution system can improve the technical benefits. This study presents a framework to find the optimum location and size for different types of DG units to enhance the voltage stability index (VSI), improve the voltage regulation and reduce the daily energy losses. The emission effect and cost function (environment and economic benefits) are augmented in the multi-objective function. Combinations of DG types are introduced to obtain the best benefits from each one. The daily load variations and dynamic output of each DG type are considered in the problem formulation. The genetic algorithm (GA) technique is used to find the optimal allocation for different cases. The typical IEEE 33-bus system is utilized to evaluate the proposed framework.

scholarly journals Uncertainty in Flood Mitigation Practices: Assessing the Economic Benefits of Property Acquisition and Elevation in Flood-Prone Communities

2020 ◽  
Vol 12 (5) ◽  
pp. 2098 ◽  
Author(s):  
William Mobley ◽  
Kayode O. Atoba ◽  
Wesley E. Highfield
Keyword(s):  
Optimal Allocation ◽  
The United States ◽  
Economic Benefits ◽  
Mitigation Strategies ◽  
Flood Mitigation ◽  
Data Uncertainty ◽  
Mitigation Measures ◽  
Structure Selection ◽  
Flood Elevation ◽  
Optimal Approach

Adopting effective flood mitigation practices for repetitive flood events in the United States continues to play a prominent role in preventing future damage and fostering resilience to residential flooding. Two common mitigation practices for reducing residential flood risk consist of raising an existing structure to or above base flood elevation (BFE) and acquiring chronically damaged properties in flood prone areas and restoring them back to serve their natural functions as green open spaces. However, due to data accuracy limitations, decision makers are faced with the challenge of identifying the financially optimal approach to implementing mitigation measures. We address this problem through the following research questions: What does the optimal allocation of flood mitigation resources look like under data uncertainty, and what are the optimal methods to combining mitigation measures with consideration for the best economic benefits? Using a robust decision making (RDM) approach, the effects of uncertainty in property values, construction and demolition costs, and policy implementation options such as structure selection and budget allocation were measured. Our results indicate that the amount budgeted for mitigation and how those funds are allocated directly influence the selection of the most economically viable mitigation practices. Our research also contributes to the growing need for evaluating specific flood mitigation strategies.

scholarly journals Optimal Allocation of Human Resource Structure Based on Capability Maturity Model Integration

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Li Hao
Keyword(s):  
Resource Allocation ◽  
Human Resource ◽  
Optimal Allocation ◽  
Economic Benefits ◽  
Capability Maturity Model ◽  
Maturity Model ◽  
Allocation Model ◽  
Capability Maturity ◽  
Resource Allocation Model ◽  
Resource Structure

In order to improve the economic benefits of enterprises and provide a scientific human resource management method for enterprises, an optimal allocation method of human resource structure based on the integration of capability maturity model is proposed. According to the capability maturity model and its maturity level, the capability maturity integration model is established, and the optimal allocation algorithm of human resources is designed according to the model principle. By constructing the personnel quality evaluation matrix and personnel allocation matrix, the human resource allocation model is established, and the cooperative game method is used to dynamically optimize the human resource allocation model. The experimental results show that this method effectively improves the economic benefits of enterprises, improves the efficiency of human resource allocation, and completes the preset goal.

Individual and social optima of rural land allocation by stakeholders: a case study on eco-fragile areas of northern China

2016 ◽  
Vol 38 (1) ◽  
pp. 57 ◽  
Author(s):  
Min Liu ◽  
Wim Heijman ◽  
Xueqin Zhu ◽  
Liesbeth Dries ◽  
Jikun Huang
Keyword(s):  
Land Use ◽  
Social Welfare ◽  
Optimal Allocation ◽  
Labour Force ◽  
Northern China ◽  
Economic Benefits ◽  
Rural Land ◽  
The Social ◽  
Different Types ◽  
The Individual

Divergences in preferences over the allocation of rural land among stakeholders are getting stronger with the decrease of rural land area. This paper analyses the degree of divergences among different stakeholders over the allocation of four types of land: cultivated land, grassland, forest and other land, and explores the optimal allocation from the social perspective of balancing economic and ecological benefits. Considering the heterogeneity of stakeholders that are concerned with land-use decisions, we distinguish four types of stakeholders, namely, ecological authorities, economic authorities, herders and farmers. The diverging preferences of these four stakeholder types over the different types of land use were quantified using the Analytic Hierarchy Process. Weights for each stakeholder type were derived for three scenarios: equal weights, weights based on income distribution and weights based on labour force distribution. Welfare analysis was employed then to determine the individual optimal allocation by maximising the utility function of each stakeholder type. Social optimal allocation was derived by maximising the social welfare function, which is the weighted sum of individual utilities. Tai Pusi County, located in an eco-fragile area of northern China, was taken as a case to present the empirical analysis. Individual optima revealed the degree of divergences among stakeholders and the social optima revealed the optimal allocation based on social welfare. Our results provide policy insights on how to achieve an efficient allocation of rural land, balancing the ecological and economic benefits of different stakeholders from different types of land.

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