陈晓宏, 王佳雯, 何艳虎, 杨冰, 杨杰. 基于水资源需求场理论的需水驱动力影响分析[J]. 水科学进展, 2018, 29(3): 357-364. DOI: 10.14042/j.cnki.32.1309.2018.03.007
引用本文: 陈晓宏, 王佳雯, 何艳虎, 杨冰, 杨杰. 基于水资源需求场理论的需水驱动力影响分析[J]. 水科学进展, 2018, 29(3): 357-364. DOI: 10.14042/j.cnki.32.1309.2018.03.007
CHEN Xiaohong, WANG Jiawen, HE Yanhu, YANG Bing, YANG Jie. Analysis on driving forces of water demand based on theory of water demand field[J]. Advances in Water Science, 2018, 29(3): 357-364. DOI: 10.14042/j.cnki.32.1309.2018.03.007
Citation: CHEN Xiaohong, WANG Jiawen, HE Yanhu, YANG Bing, YANG Jie. Analysis on driving forces of water demand based on theory of water demand field[J]. Advances in Water Science, 2018, 29(3): 357-364. DOI: 10.14042/j.cnki.32.1309.2018.03.007

基于水资源需求场理论的需水驱动力影响分析

Analysis on driving forces of water demand based on theory of water demand field

  • 摘要: 为了解决传统水资源需求驱动因素分析中存在难以直观反映城市空间相互作用的问题,运用水资源需求场理论,分析地区水资源需求空间特征;结合社会经济势能探讨水资源需求的驱动因素,并以2014年广东省用水、社会经济数据为例进行计算与分析。研究表明:①广东省水资源需求场呈现以珠三角地区为中心向外辐射的分布特征,各城市周围的场强方向指向各城市中心点;②水资源需求场的叠加会改变城市的场强大小与方向;③社会经济势能与水资源需求场相关系数达0.924。结果证实,社会经济是水资源需求的主要驱动力;在其驱动下,水资源在空间上向发达地区与城市中心流动。该结果可为水资源需求的准确预测、水资源管理提供基础支撑。

     

    Abstract: The goal of this study is to better describe the spatial interaction that general water demand cannot reflect. Using water resource demand field, this paper analyzes the spatial characteristics of water resources demand and discusses the driving factors of water demand by combining the socioeconomic potential energy and water resource demand field. By calculating and analyzing the socioeconomic data of Guangdong Province in 2014, it was found that:① The water field intensity in Guangdong Province decreases from the Pearl River Delta region to the surrounding area. The direction of the field intensity around the center of each city is directed towards the city center. ② The superposition of the water field will change the size and direction of the city's field intensity. ③ The correlation coefficient between socioeconomic potential and water resource is 0.924. This result confirms socioeconomic status is the main driving force in the demand of water resources. With socioeconomic potential energy being the prime mover, water resources flow to developed areas and city centers. This result can assist in providing basic support for water demand prediction and management.

     

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