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Urban Household Water Demand in Beijing by 2020: An Agent-Based Model

机译:2020年北京市城镇居民需水量:基于代理的模型

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摘要

Beijing is faced with severe water scarcity due to rapid socio-economic development and population expansion, and a guideline for water regulation has been released to control the volume of national water use. To cope with water shortage and meet regulation goal, it has great significance to study the variations of water demand. In this paper, an agent-based model named HWDP is developed for the prediction of urban household water demand in Beijing. The model involves stochastic behaviors and feedbacks caused by two agent roles which are government agent and household agent. The government agent adopts economic and propagandist means to make household agent optimize its water consumption. Additionally, the consumption is also affected by the basic water demand deduced from extended linear expenditure system. The results indicate that the total water demand of urban households in Beijing will increase to 317.5 million cubic meters by 2020, while the water price keeps growing at a low level. However, it would drop to 294.9 million cubic meters with high growth of water price and low increment in per capita disposable income. Finally, some policy recommendations on water regulation are made.
机译:由于社会经济快速发展和人口增长,北京面临严重的水资源短缺,已经发布了水资源管理指南,以控制全国用水量。为应对缺水问题,实现调控目标,研究需水量的变化具有重要意义。本文建立了基于智能体的HWDP模型,用于北京市城市居民需水量预测。该模型涉及由政府代理和家庭代理这两个代理角色引起的随机行为和反馈。政府代理采取经济和宣传手段,使家庭代理优化其用水量。此外,消费还受到扩展线性支出系统推导出的基本用水需求的影响。结果表明,到2020年,北京市城镇居民用水总需求量将增至3.175亿立方米,而水价保持低位增长。然而,随着水价的高增长和人均可支配收入的低增长,它将下降到2.949亿立方米。最后,对水资源监管提出了一些政策建议。

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