地理学报 ›› 1987, Vol. 54 ›› Issue (3): 260-268.doi: 10.11821/xb198703008

• 论文 • 上一篇    下一篇

区域水资源协调分析

周诚虎, 汤奇成   

  1. 中国科学院国家计委地理研究所
  • 出版日期:1987-07-15 发布日期:1987-07-15

COMPROMISING ANALYSIS OF REGIONAL WATER RESOURCES

Zhou Chenghu, Tang Qicheng   

  1. Insiitutc of Geography, Chinese Academy of Sciences end State Planning Commistion of the Peofle’t Republic ofChina
  • Online:1987-07-15 Published:1987-07-15

摘要: 本文建立了区域水资源协调分析的概念模型和通用多区域-多目标数学模型(MAOM),并结合新疆昌吉州的具体情况,运用目标规划法进行求解,确定了昌吉州近期和远景的水资源合理利用结构。

关键词: 区域水资源, 区域分解, 目标分解, 协调分析, 多区域-多目标模型, 目标规划

Abstract: This paper described the contents and the theoretical and realistic importance of compromising analysis. The conceptual pattern and general mathematical model (MAOM) are established here. The conceptual pattern consists of three blocks, or decomposing block which is composed of area-decomposing and objective-decomposing, available water resources block which is closely related to interior structural analysis of regional water resources, and compromising analysis block. The aim of decomposion is to transfer the problems which are very complicated or even unsolved into a lot of sub-problems which can be solved. The main tasks of compromising analysis block are to develop the mathematical model and determine the appropriate compromising methods, and to give the use structure of regional water resourcess studied. The general mathematical model of compromising analysis is set up in the third part, which consists of the analysis of development objectives and constraints. The model is a multiarea-multiobjective planning model. Compromising program is one of the effective methods used to solve the model, which is based on the best geometric notion. Finally, according to the principles of compromising analysis described, we made a study of the distribution of Changji Prefeture’s water resources of Xingjiang Uygur Autonomous Regions, and got its near-future and long-range rational use structure of water resources by applying goal programming method to solve the mathematical model.

Key words: Regional water resources, Area-decomposing, Objective-decomposing, Goal programming, Multiarea-multiobiective model, Compromising analysis