首页> 外文会议>2010 American Water Works Association annual conference amp; exposition (ACE10) >Forecasting Water Intake from Lake Michigan for Lake County Indiana - Nonlinear Regression Analysis and Artificial Neural Network Models Approach: 1990 – 2008
【24h】

Forecasting Water Intake from Lake Michigan for Lake County Indiana - Nonlinear Regression Analysis and Artificial Neural Network Models Approach: 1990 – 2008

机译:预测印第安纳州莱克县密歇根湖的取水量-非线性回归分析和人工神经网络模型方法:1990 – 2008

获取原文
获取原文并翻译 | 示例

摘要

This study provides an analysis of water withdrawal from 1990 to 2008 in Lake County ofrnNorthwest Indiana. Utilizing the Winter Base-Rate Method, this report assesses and predictsrnconsumptive water-use via historical data; and it projected water withdrawal data through 2013rnusing nonlinear regression analysis and artificial neural network models. The withdrawal datarnused in this study is provided by the Indiana Department of Natural Resource and IndianarnDepartment of Environmental Management. Using a statistical tool, data was systematized in arndatabase by sectors: energy production, industry, irrigation and agriculture, miscellaneous, andrnpublic supply.rnResults indicate that total water withdrawal has declined from 838 billion gallons in 1990 to 603rnbillion gallons in 2008-an approximate 28 percent decrease. During the same period,rnwithdrawal in the following has been documented:rna.) energy production, from 338 billion to 182 billion (-46%);rnb.) industry, from 469 billion to 386 billion (-18%);rnc.) irrigation and agriculture, from 1.2 billion to 3.33 billion (+168%); andrnd.) miscellaneous, from 1.3 billion to 1.5 billion (+15%); andrne.) public supply, from 28.68 billion to 30.1 billion (+5%).rnThe energy production and industry sectors account for 97 percent of total water withdrawal.rnApproximately 99.96 percent of total water withdrawal is from surface water, while only 0.04rnpercent is from ground water (well).rnFurthermore, analysis shows that the average summer withdrawal is 375 billion gallons andrnaverage winter withdrawal is 328 billion gallons-a difference of some 13 percent. Therndifference may reflect such factors as evaporation, outdoor use, consumptive-use, and waterrndemand. During summer months, the influent water temperature increases; therefore, additionalrnwater is needed to produce the same amount of energy, while cooling the reactors andrncondensers in the energy production sector. Based on Winter Base-Rate equations the annualrnconsumptive-use coefficient (%) is 7.9; summer consumptive-use coefficient (%) is 17.3; andrnmonthly consumptive-use coefficient (%) are 6.3, 13.16, 19.06, 19.29, 11.55, and 11.09 for thernrespective months of May, June, July, August, September, and October.rnThe Logarithmic Regression model indicates a downward water withdrawal trend and an averagernvalue of 553 billion gallons per year from 2009 to 2013. The ANN model shows that waterrnwithdrawal will vary from 552 to 451 billion gallons per year.
机译:这项研究对西北印第安纳州湖县1990年至2008年的取水情况进行了分析。本报告利用冬季基准利率法,通过历史数据评估和预测了用水量。并使用非线性回归分析和人工神经网络模型预测了2013年的取水数据。这项研究中使用的提取数据由印第安纳州自然资源部和印第安纳州环境管理部门提供。使用统计工具,按部门在能源数据库,能源生产,工业,灌溉和农业,其他杂项和公共供应方面对数据进行了系统化。结果表明,总取水量从1990年的8380亿加仑下降到2008年的6030亿加仑-约28减少百分比。在同一时期,有以下文献记载的撤消:能源生产,从3380亿个增长到1820亿(-46%); rn工业从4690亿增长到3860亿(-18%); rnc。 )灌溉和农业,从12亿增至33.3亿(+ 168%);杂项,从13亿增至15亿(+ 15%);公共供应,从286.8亿增至301亿(+5%)。rn能源生产和工业部门占总取水量的97%.rn约占总取水量的99.96%来自地表水,而只有0.04%此外,分析表明,夏季的平均取水量为3750亿加仑,冬季的平均取水量为3280亿加仑,相差约13%。差异可能反映了诸如蒸发,室外使用,消费用途和用水需求等因素。在夏季,进水温度会升高。因此,在冷却能源生产部门的反应堆和冷凝器时,需要额外的水来产生相同量的能量。根据冬季基准利率方程,年度消费使用系数(%)为7.9;夏季消费使用系数(%)为17.3; 5月,6月,7月,8月,9月和10月这两个月份的每月消费使用系数(%)分别为6.3、13.16、19.06、19.29、11.55和11.09。对数回归模型显示出取水量呈下降趋势,且从2009年到2013年,年平均取水量为5530亿加仑。ANN模型显示,取水量将从每年552到4510亿加仑不等。

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