scholarly journals Urban water resources allocation and low-carbon economic development based on soft computing

2022 ◽  
pp. 102292
Author(s):  
Fu Wang ◽  
Weide Chun ◽  
Yun Cui
Keyword(s):  
Economic Development ◽  
Water Resources ◽  
Soft Computing ◽  
Resources Allocation ◽  
Urban Water ◽  
Water Resources Allocation ◽  
Low Carbon

Urban water resources allocation and shortage risk mapping with support vector machine method

2015 ◽  
Vol 81 (2) ◽  
pp. 1209-1228 ◽  
Author(s):  
Qian Zhang ◽  
Xiujuan Liang ◽  
Zhang Fang ◽  
Tao Jiang ◽  
Yubo Wang ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Water Resources ◽  
Risk Mapping ◽  
Support Vector ◽  
Resources Allocation ◽  
Urban Water ◽  
Water Resources Allocation ◽  
Machine Method ◽  
Support Vector Machine Method

scholarly journals Multi-Objective Optimal Allocation of Urban Water Resources While Considering Conflict Resolution Based on the PSO Algorithm: A Case Study of Kunming, China

2020 ◽  
Vol 12 (4) ◽  
pp. 1337 ◽  
Author(s):  
Junfei Chen ◽  
Cong Yu ◽  
Miao Cai ◽  
Huimin Wang ◽  
Pei Zhou
Keyword(s):  
Water Resources ◽  
Water Demand ◽  
Optimal Allocation ◽  
Pso Algorithm ◽  
Resources Allocation ◽  
Urban Water ◽  
Water Resources Allocation ◽  
Multi Objective ◽  
Guarantee Rate ◽  
Allocation Plans

With the rapid increase of water demand in urban life, ecology and production sectors, the problem of water resources allocation has become increasingly prominent. It has hindered the sustainable development of urban areas. Based on the supply of various water sources and the water demand of different water users, a multi-objective optimal allocation model for urban water resources was proposed. The model was solved using the algorithm of particle swarm optimization (PSO). The algorithm has a fast convergence and is both simple and efficient. In this paper, the conflict over Kunming’s water resources allocation was taken as an example. The PSO algorithm was used to obtain optimized water resources allocation plans in the year 2020 and 2030, under the circumstances of a dry year (inflow guarantee rate p = 0.825) and an unusually dry year (inflow guarantee rate p = 0.885), respectively. The results showed that those allocation plans can lower the future potential water shortage rates of Kunming. At the same time, the interests of different sectors can all be satisfied. Therefore, conflicts over urban water use can be effectively alleviated.

scholarly journals Water Energy Nexus in Urban Water Resources Allocation: A Case Study of Jinan City

10.29007/bb4b ◽  
2018 ◽  
Author(s):  
Zhaohui Yang ◽  
Hao Wang ◽  
Jie Du ◽  
Weiwei Shao ◽  
Guiyu Yang
Keyword(s):  
Water Resources ◽  
Urban Areas ◽  
Resources Allocation ◽  
Urban Water ◽  
Water Resources Allocation ◽  
Advantages And Disadvantages ◽  
Water Energy Nexus ◽  
Urban Energy ◽  
Jinan City ◽  
Urban Energy Consumption

The water energy nexus– energy used for water – has received increasing attention in a changing world. With rapidly growing population and economic growth in urban areas, the demand of energy and water resources may subsequently rise. Since supply different water resources (such as transferred water and reclaimed water) requires different amount of energy, the city should perform a quantitative assessment of water energy nexus, and work out how to allocate various water resources to reduce urban energy consumption. Taking Jinan city as an example, this paper analyzes the advantages and disadvantages of using various types of water resources, predictions of the future trends in water use, and estimates unit electricity requirements for the supply of fresh water and the treatment of wastewater, and briefly depict the water energy nexus in the urban water resources allocation, and try to find a water resource - energy balance for the urban water allocation. This work would help to explore the water energy nexus for urban water resources management, and to optimize the allocation of water resources.

scholarly journals Weighted Bankruptcy Rules and Transboundary Water Resources Allocation

2015 ◽  
Vol 29 (7) ◽  
pp. 2303-2321 ◽  
Author(s):  
Hojjat Mianabadi ◽  
Erik Mostert ◽  
Saket Pande ◽  
Nick van de Giesen
Keyword(s):  
Water Resources ◽  
Resources Allocation ◽  
Water Resources Allocation ◽  
Transboundary Water ◽  
Transboundary Water Resources

Application of Complex Adaptive System Theory to Water Resources Allocation in Dianchi Basin

2012 ◽  
Vol 212-213 ◽  
pp. 536-542
Author(s):  
Qiong Su ◽  
Shi Hua He
Keyword(s):  
System Theory ◽  
Water Resources ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Resources Allocation ◽  
Water Resources Allocation ◽  
Evolutionary Mechanisms ◽  
Reservoir Water ◽  
Allocation System ◽  
Complex Adaptive

Based on complex adaptive system theory, the characteristics of water resources allocation system of river basin are analyzed. Evolutionary mechanisms and process of complex adaptive water resources allocation system in Dianchi basin are researched, and also characteristics of "learning". A complex adaptive system model of water-resource allocation is established during analyzing the influence factors and the reaction rules of water consumer agents and water provider agents. And based on this model, water resources in Dianchi basin is allocated only under Dianchi water provider and Zhangjiu river Yunlong reservoir water provider by using the platform of matlab. Finally, corresponding calculation results and conclusions are concluded.

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