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首页> 外文期刊>Civil Engineering and Environmental Systems >Using Remote Sensing And Gis Technology For An Improved Decision Support: A Case Study Of Residential Water Usein El Paso, Texas
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Using Remote Sensing And Gis Technology For An Improved Decision Support: A Case Study Of Residential Water Usein El Paso, Texas

机译：使用遥感和地理信息系统技术改善决策支持：德克萨斯州埃尔帕索的住宅用水案例研究

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摘要

This paper presents a case study of using remote sensing and geographic information system technology for extracting green-surface areas of a residential neighborhood (933.20 acres) of El Paso, Texas. Four IKONOS images (September 2000) and a parcel layer were used to identify the green-surface areas which is an important variable in modelling the outdoor water use of individual households. The modelled outdoor water use together with indoor water use was compared with water meter reading and was used to analyse the behaviour of individual household-based water consumption. The modelling processes improve our understanding of water consumption and resource distributions so that a better decision in water management can be made. The results showed that pervious (green) and impervious surfaces constitute 26% and 74% of the total area of the 2422 parcel lots, and 21 % and 79% of the entire study area, respectively. Average indoor water use of 2374 residential parcels is 31 m~3 (or 11 ccf) per month, derived by averaging the water use of December, January and February. Estimation of outdoor water demand for the landscape was based on monthly potential evapotranspiration information and the delineated green-surface area of each parcel. Thus, the difference between the water meter reading and estimated (indoor and outdoor) water uses can be calculated. This study provides an alternative and quick approach to help water departments in efficiently monitoring the water use of each household.
机译：本文介绍了使用遥感和地理信息系统技术提取德克萨斯州埃尔帕索一个居民区（933.20英亩）的绿地面积的案例研究。使用四张IKONOS图像（2000年9月）和一个包裹层来识别绿色表面区域，这是对单个家庭的室外用水进行建模的重要变量。将模拟的室外用水和室内用水与水表读数进行比较，并用于分析个人家庭用水的行为。建模过程提高了我们对耗水量和资源分布的理解，因此可以在水管理方面做出更好的决策。结果表明，透水（绿色）和不透水表面分别占2422件包裹总面积的26％和74％，分别占整个研究区域的21％和79％。通过平均12月，1月和2月的用水量得出2374个住宅用地的室内平均用水量为每月31 m〜3（或11 ccf）。对景观的室外需水量的估算是基于每月潜在的蒸散量信息和每个包裹的绿色表面面积。因此，可以计算出水表读数与估计的（室内和室外）用水量之间的差异。这项研究提供了一种替代的快速方法，可以帮助水务部门有效地监控每个家庭的用水情况。

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