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A geospatially-enabled web tool for urban water demand forecasting and assessment of alternative urban water management strategies

机译:具有地理空间功能的网络工具,用于预测城市用水需求和评估替代性城市用水管理策略

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This study develops and demonstrates the Integrated Urban Water Model (IUWM) for forecasting urban water demand with options to assess effects of water conservation and reuse. While water and energy balance drive hydrologic, storage and recycling simulations on a daily timestep, social and infrastructural processes are resolved by spatially distributed parameters. IUWM is deployed as an online tool with geographical information system (GIS) interfaces, enhancing its ease of use and applicability at building to municipal scales. The performance of the model at varying spatial scales was evaluated with extensive water metering data for the City of Fort Collins, Colorado. The calibrated model provided very good estimates of demands at individual block group as well as the municipal service area. The capacity of IUWM for the assessment of the spatiotemporal variability of water consumption and effects of water demand management strategies under climate and urban growth scenarios is discussed. (C) 2017 Elsevier Ltd. All rights reserved.
机译:这项研究开发并演示了用于预测城市用水需求的综合城市用水模型(IUWM),并提供了评估节水和再利用效果的选项。水和能源平衡每天都在推动水文,储藏和循环利用模拟,而社会和基础设施则由空间分布的参数来解决。 IUWM被部署为具有地理信息系统(GIS)界面的在线工具,从而增强了其易用性以及在市政规模上的适用性。使用科罗拉多州柯林斯堡市的大量水计量数据评估了该模型在不同空间尺度上的性能。校准后的模型可以很好地估计各个街区组以及市政服务区域的需求。讨论了IUWM在气候和城市增长情景下评估耗水时空变化和需水管理策略影响的能力。 (C)2017 Elsevier Ltd.保留所有权利。

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