期刊文献+

村域尺度上的农村用水量预测研究——以河南省镇平县为例 被引量:3

The Predictive Analysis of Rural Water Consumption on Village-scale Domain: A Case of Zhenping County,Henan Province
下载PDF
导出
摘要 农村用水量预测是农村饮水工程规划的基础。而农村用水历史数据缺乏,人口流动大,农户饲养畜禽的种类和数量年际变化大等因素为建立农村用水量预测模型带来了困难。通过问卷调查获得第一手资料,根据生活用水量、畜禽饲养用水量、企业用水量、管网漏失和未预见水量4项指标建立农村用水量预测综合模型,并在软件ARCGIS9.0中实现此模型,分析了镇平县农村需水量和缺水严重程度的空间差异及其原因。研究发现,镇平县农村需水量南多北少,中南部缺水比较严重。最后,根据镇平县农村缺水严重程度确定了23个农村重点饮水工程规划村,从而为农村饮水工程规划提供了较为准确的空间决策支持。 The prediction of water consumption is fundamental for drinking water planning in rural areas. However, due to the lack of historical consumption data, mass work force movement and yearly variation of live stock farming in rural China, it is difficult to predict the volume of water consumption using existing models. Conse- quently, the authors introduce a practical prediction model based on the questionnaire investigation of the water for living, the water for livestock, the water for enterprise and the leak of pipe network and unpredictable water. Using ArcGIS 9.0, the model is implemented, and the spatial variations and their reasons of village-level predictive water consumptions and of the supply gaps in Zhenping County are presented. It is found that the southern villages consume more water than the northern and the central-southern region has wide supply gaps. Based on the findings, 23 villages are identified having top priority in regional drinking water planning. The authors argue that GIS technology and the practical prediction model introduced in this paper have potentials in rural drinking water planning.
出处 《地域研究与开发》 CSSCI 北大核心 2009年第5期124-129,共6页 Areal Research and Development
基金 国家自然科学基金重点资助项目(40535025) 河南省高等学校创新人才基金资助项目(2004-2009年度)
关键词 村域尺度 农村用水量 预测模型 地理信息系统 镇平县 village-scale domain rural water consumption prediction model geographical information system (GIS) Zhenping County
  • 相关文献

参考文献12

  • 1周利平.城市给水工程系统规划的用水量预测[J].企业家天地(下旬刊),2005(2):54-55. 被引量:2
  • 2李晓峰,刘光中,贺昌政.成都市居民未来生活用水量预测模型的选择[J].四川大学学报(工程科学版),2001,33(6):104-107. 被引量:15
  • 3徐洪福,袁一星,赵洪宾.灰色预测模型在年用水量预测中的应用[J].哈尔滨建筑大学学报,2001,34(4):51-54. 被引量:42
  • 4Beckwith S F, Wong C K P. Application of Dynamical System Theory for Short-term Water Load Demand Prediction[ C]//John H Andreae. Proc 2th Australian and New Zealand Conf on Intelligent Information Systems. Brisbane, Australia: ANZIIS, 1994:283 - 287.
  • 5单金林,戴雄奇,李江涛.利用BP网络建立预测城市用水量模型[J].中国给水排水,2001,17(8):61-63. 被引量:34
  • 6刘洪波,张宏伟,田林,王新芳.用人工神经网络预测时用水量的方法(英文)[J].Transactions of Tianjin University,2001,7(4):233-237. 被引量:5
  • 7Ashu J, Ashish K V. Short-term Water Demand Forecast Modeling at IIT Kanpur Using Artificial Neural Networks [ J ]. Water Resour. Mgmt, 2001,15 : 299 - 321.
  • 8Jain D A, Joshi U C. Short-term Water Demand Forecasting Using Artificial Neural Networks: IIT Kanpur Experience [ C ]//Yacoub N. Proc 15th International Conf on Pattern Recognition. Barcelona, Spain : Surrey Univ. , 2000:459 - 462.
  • 9Damas M, Salmeron M. ANNs and GAs for Predictive Control of Water Supply Networks [ C]//Ditten A. Neural Networks, UCNN. Como, Italy : Inst. fur Softwaretech,2000:365 - 370.
  • 10Smaoui N, Bu Hamra S. A Combination of Box - Jenkins Analysis and Neural Networks to Model and Predict Water Consumption in Kuwait [ C ]//Ditten A. Neural Networks, IJCNN. Como, Italy : Inst. fur Softwaretech, 2002 : 1678 - 1683.

二级参考文献16

共引文献82

同被引文献43

引证文献3

二级引证文献33

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部