Three-Steps Allocation Model of Water Utilization Based on Synergy Theory: Take Y City for Example

2015 ◽  
Vol 733 ◽  
pp. 317-320
Author(s):  
Wei Luo ◽  
Yang Zhang ◽  
Zhen Tang
Keyword(s):  
Water Allocation ◽  
Optimal Allocation ◽  
Environmental Water ◽  
Second Step ◽  
Domestic Water ◽  
Allocation Model ◽  
Water Utilization ◽  
Systemic Analysis ◽  
Different Types ◽  
Paper Construct

In view of lack of systemic analysis on the optimization of water utilization structure and water allocation, the paper construct three-step allocation model of water utilization based on synergy theory. In the first step, identifying optimal allocation of domestic water, industrial water, agricultural water, ecological and environmental water with the synergy among the different purposes. In the second step, giving reasonable weight of different types of water using unit with the synergy among the different subjects. In the third step, allocating different demand of water using units in different months with the synergy among the different time. Finally, take the allocation of water in Y city in 2015 for example, we give the analog allocations of the model.

scholarly journals Regional water allocation for coordinated development among the social, economic and environmental systems

2021 ◽  
Author(s):  
Xinkui Wang ◽  
Zengchuan Dong ◽  
Wenzhuo Wang ◽  
Yaogeng Tan ◽  
Tianyan Zhang ◽  
...  
Keyword(s):  
Water Allocation ◽  
Optimal Allocation ◽  
Social Economic ◽  
Environmental Benefits ◽  
Main Stream ◽  
Coordinated Development ◽  
Xiangjiang River ◽  
Allocation Model ◽  
Environmental Systems ◽  
The Social

Abstract Most current water allocation strategies fail to address the unbalanced development among multiple systems. How to optimize the coordination development relationships among the social, economic and environmental systems has always been the focus. To bridge this gap, this study innovatively constructed a water optimal allocation model for coordinated development and applied it to the main stream of the Xiangjiang River Basin, China. The results showed that: (i) In 2025, the water deficit ratio of the study area will increase from 3.21 to 5.50% when P = 50% and from 4.59 to 6.85% when P = 75%. The existing water supply capacity will not be able to meet the increasing water demand. (ii) Agricultural and industrial water will account for a large proportion of the total water consumption. Due to the transformation of industrial structure, measures should be formulated to bring the best benefits. (iii) Restricted by different systems, the coordinated development in each city will present spatial and temporal differences. (iv) The proposed model was proved to overcome the backwards of uncoordinated development and achieve a balance of the regional social, economic and environmental benefits. Also, some recommendations and limitations were discussed. This study provides an effective basis for enhancing regional sustainable water resources planning and management.

Construction of Optimal Allocation System on the Edible Agricultural Products Components of the Nutrition and Health Care Based on Internet of Things

2013 ◽  
Vol 347-350 ◽  
pp. 3194-3198 ◽  
Author(s):  
Ming Hua Wei ◽  
Liu Qing Yang ◽  
Qiao Ling Zhou ◽  
Jin Gui Zheng
Keyword(s):  
Health Care ◽  
Internet Of Things ◽  
Optimal Allocation ◽  
Negative Impact ◽  
Agricultural Products ◽  
Nutrition And Health ◽  
Allocation Model ◽  
Allocation System ◽  
Different Types ◽  
At Home

In daily life, the nutrients taken from the food of the human body are often insufficient or surplus, which has a negative impact on human health and waste of agricultural nutrients as well. There is some catering software that can guide people about the intake of the nutrients at home and abroad, but they can only realize the analysis function, that is, tell the user that the nutrients intake is inadequate or exceed the standard. This paper constructs an optimal allocation system of the agricultural products components of the nutrition and health care based on internet of things, allowing people to use it at home or in the hotel. Based on the users free ordering meal, analyze and optimize the users meal according to different types of users with different matching allocation model, guide the user to adjust the meal to meet their nutrient needs, finally reach the purpose of users adjustment of the dietary structure.

scholarly journals Multi-objective optimal allocation of water resources based on ‘three red lines’ in Qinzhou, China

Water Policy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 541-560
Author(s):  
Haopeng Guan ◽  
Lihua Chen ◽  
Shuping Huang ◽  
Cheng Yan ◽  
Yan Wang
Keyword(s):  
Resource Allocation ◽  
Water Resources ◽  
Water Resource ◽  
Optimal Allocation ◽  
Supply And Demand ◽  
Domestic Water ◽  
Nsga Ii ◽  
Allocation Model ◽  
Water Resource Allocation ◽  
Multi Objective

Abstract Water shortages and pollution emerge because of anthropogenic demands. Since 2011, ‘China's Most Stringent Water Resources Management’ (CMSWRM) has been comprehensively enacted in the country. This paper presents the characteristics of the ‘three red lines’ (TRL) and a multi-objective optimal allocation model based on the TRL constraint, considering the benefits for society, the economy, and the environment. This model had been applied to the reasonable allocation of water supply and demand in Qinzhou for the planning years of 2020 and 2030. Two water resource allocation scenarios for these years were configured by setting different chemical oxygen demand (COD) concentrations for wastewater discharge in the municipal, secondary, tertiary, and agricultural sectors. The gamultiobj function based on the NSGA-II algorithm was used to solve the model in MATLAB. The results indicate that if COD concentrations in each sector are not reduced, then restrictions on domestic water sources will be necessary, both in 2020 and 2030. The two water resource allocation scenarios in 2020 and 2030 can provide a reference for decision-makers in Qinzhou to implement CMSWRM.

Optimal Sizing of Battery Energy Storage System in Distribution Network

2013 ◽  
Vol 860-863 ◽  
pp. 572-576
Author(s):  
Rui Huan Ren ◽  
Rong Hu ◽  
Liu Bin
Keyword(s):  
Optimal Allocation ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Allocation Model ◽  
Building Capacity ◽  
Use Of Time ◽  
Different Types ◽  
Battery Energy ◽  
Transmission And Distribution

Economical value including reducing investment in generation side as well as transmission and distribution (T&D) side of the building capacity and decreasing the power expenses for important users brought by BESS are studied.Economic benefits obtained by BESS through decreasing loss of power grid and making use of time of use (TOU) price to reduce electricity tariff are analysed.Considering the primarily capital cost and operation and maintenance (O&M) cost,the capacity optimal allocation model for different types of BESS is developed under optimal conomy condition and genetic algorithm is used to solve it.

Design of water allocation model: efficiency and risk aspects

2005 ◽  
Vol 5 (3-4) ◽  
pp. 9-16
Author(s):  
C. Kim ◽  
D. Han
Keyword(s):  
Water Allocation ◽  
Primary Objective ◽  
Allocation Model ◽  
Proportional Allocation ◽  
Model Efficiency ◽  
Service Sectors ◽  
Expected Benefits ◽  
Water Allocation Model ◽  
Allocation Methods

The primary objective of this study is to improve the methodology for water allocation focused on efficiency and risk aspects. To attain the primary objective, this study sets up an objective function to maximize social expected benefits, and considers three types of allocation methods. Three types of allocation methods are optimal, proportional, and fixed allocation between regions and service sectors. The results of case study area shows that the fixed allocation method is preferred to the proportional allocation in most cases except that the variance of flow is small with respect to efficiency. Also, efficient and less-risky allocation is simultaneously obtained in some cases, while efficiency and risk show the relation of trade-off in other cases.

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.

Study on Efficiency of Rainfall and Flood Water Resources Utilization in Coastal Area

2013 ◽  
Vol 409-410 ◽  
pp. 79-82 ◽  
Author(s):  
Ying Qin Chen ◽  
Xian Feng Huang
Keyword(s):  
Water Resources ◽  
Water Use Efficiency ◽  
Water Use ◽  
Environmental Water ◽  
Utilization Efficiency ◽  
Agricultural Water ◽  
Domestic Water ◽  
Flood Water ◽  
Use Efficiency ◽  
Water Resources Utilization

Due to the rich resources of urban rainwater and transit flood in coastal areas, rational utilization of rainfall and flood water resources can improve the sustainable utilization, to better serve the coastal development. In this paper, the available quantity of water rainfall and flood water resources in coastal are distributed to domestic water, industrial water, agricultural water and ecologic environmental water. Water price method is used to calculate domestic water efficiency. Energy synthesis is used to calculate the industrial and agricultural water-use efficiency. Ecologic environmental water-use efficiency-sharing coefficient method is used to calculate the ecologic environmental water-use efficiency. Finally, taking Lianyungang City, a Jiangsu coastal city as an example to analyze the rainfall and flood water resources utilization efficiency. The results provide reference to the research for Chinas plain area rainfall and flood water resources efficiency analysis.

Mathematical Models for Predicting and Managing Water Resources — The Case of China in 2025

2013 ◽  
Vol 448-453 ◽  
pp. 995-1001
Author(s):  
Ning Na Wang ◽  
Qin Lin Zhou
Keyword(s):  
Water Supply ◽  
Water Demand ◽  
Optimal Allocation ◽  
Supply And Demand ◽  
Decision Makers ◽  
Grey System ◽  
Allocation Model ◽  
Water Supply Management ◽  
Generate Solution ◽  
Major Factors

An effective management of water supply is critically significant to a countrys water utilities, and accurate prediction of water supply and demand is of key importance for water supply management. The objectives of this paper are to use Grey System Model (GSM) and Linear Regression Model to forecast the water demand and water supply respectively in China 2025, and then propose a new Optimal Allocation Model (OAM) to generate solution so that analysts and decision makers can gain insight and understanding. The two predictive models take into account four major factors including domestic development, agriculture, industries and eco-environment, calculating a deficit between water demand and water supply in China 2025. Then the OAM, which considers desalinization, irrigation saving and urban recycling, provides a feasible solution to fill the gap and an effectual management of water supply.

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