| 王馨,朱家明,李洋,徐路.基于S - R模型对陕西省水资源短缺的定量分析[J].海南师范大学学报自科版,2017,30(3):243-252 |
| 基于S - R模型对陕西省水资源短缺的定量分析 |
| Analysis of Water Resource Shortage in ShaanxiProvince Based on the S - R Model |
| 投稿时间：2017-02-20 |
| DOI：10.12051/j.issn.1674-4942.2017.03.002 |
| 中文关键词: 陕西省 水资源短缺 S -R 模型 BP 神经网络 |
| 英文关键词: Shaanxi province water resource shortage S - R Model back propagation ( BP) neural network |
| 基金项目: |
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| 摘要点击次数: 653 |
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| 中文摘要: |
| 快速城市化和全球气候持续变化，导致区域水资源供需矛盾日益突出.文章以陕
西省为研究对象.基于回归分析、灰色预测、最优分配、BP神经网络等方法，运用MATLAB、
LINGO、EVIEWS等软件量化分析了水资源短缺与水资源调配问题， 初步建立了反映缺水程度
的S - R模型、水资源分配模型.研究结果可为该地区水资源可持续利用提供理论与实践的参
考. |
| 英文摘要: |
| Rapid urbanization and global climate change result in an increasingly serious contradiction of regional water supply-
and-demand. This article selects Shaanxi province as the research model , uses methods such as regression analysis ,
gray prediction , optimal allocation and BP neural network , and applies MATLAB, UNGO , EVIEWS and other software to
quantify both the shortage and allocation of water resources. It creates the S - R model based on the water deficiency and a
water resources allocation model. The research has certain theoretical and practical significance to the sustainable utilization
of water resources in this area. |
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