【24h】

FORECASTING WATER DEMAND FOR EFFECTIVE WATER MANAGEMENT DURING DROUGHT PERIODS IN THE GREATER GABORONE AREA, BOTSWANA

机译:预测博茨瓦纳大哈博罗内地区干旱期间的需水量,以进行有效的水管理

获取原文
获取原文并翻译 | 示例

摘要

In December 2004, the Water Utilities Corporation (WUC), which is responsible for urban water supply in Botswana, imposed water restrictions on non-essential uses in the Greater Gaborone Area (GGA) as a way of reducing water demand within this area by 25%. This was motivated by drastic drop in water levels from Gaborone Dam to as low as 17% due to drought. Within six months WUC reported 35% drop in water use within the study area which was attributed to water restrictions. This intervention led to reduced revenues from WUC water sales and possibly had serious socio-economic impacts to water users, including loss of jobs from water-related companies like landscaping, gardening and car wash. While restrictions were purely based on water conservation and demand management strategies, the scale of imposition should have been informed by available forecasted demand in order to lessen their socio-economic effects. The purpose of this study is to provide simple forecasting model which can be used in coming up with options and scales of water demand management including restrictions. Trend analysis and autoregressive models have been applied to suggest future demand trends forecasted on a monthly time step.
机译:2004年12月,负责博茨瓦纳城市供水的自来水公司(WUC)对大哈博罗内地区(GGA)的非必要用途施加了用水限制,以减少该地区的用水需求25 %。这是由于干旱导致哈博罗内水坝的水位急剧下降至低至17%。在六个月内,WUC报告研究区域内的用水量下降了35%,这归因于水资源的限制。这种干预导致WUC售水收入减少,并可能对用水户产生严重的社会经济影响,包括与水相关的公司(如美化,园艺和洗车)失去工作。虽然限制完全基于节水和需求管理策略,但实施量应以可预测的需求量为依据,以减轻其社会经济影响。这项研究的目的是提供简单的预测模型,可用于提出包括限制在内的需水管理的选项和规模。已应用趋势分析和自回归模型来建议按月时间步长预测的未来需求趋势。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号