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

Fu Wang ◽  
Weide Chun ◽  
Yun Cui
2015 ◽  
Vol 81 (2) ◽  
pp. 1209-1228 ◽  
Qian Zhang ◽  
Xiujuan Liang ◽  
Zhang Fang ◽  
Tao Jiang ◽  
Yubo Wang ◽  

2020 ◽  
Vol 12 (4) ◽  
pp. 1337 ◽  
Junfei Chen ◽  
Cong Yu ◽  
Miao Cai ◽  
Huimin Wang ◽  
Pei Zhou

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.

10.29007/bb4b ◽  
2018 ◽  
Zhaohui Yang ◽  
Hao Wang ◽  
Jie Du ◽  
Weiwei Shao ◽  
Guiyu Yang

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.

2015 ◽  
Vol 29 (7) ◽  
pp. 2303-2321 ◽  
Hojjat Mianabadi ◽  
Erik Mostert ◽  
Saket Pande ◽  
Nick van de Giesen

2012 ◽  
Vol 212-213 ◽  
pp. 536-542
Qiong Su ◽  
Shi Hua He

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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