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    Multiperiod Planning of Water Supply Infrastructure Based on Scenario Analysis

    Source: Journal of Water Resources Planning and Management:;2014:;Volume ( 140 ):;issue: 001
    Author:
    Doosun Kang
    ,
    Kevin Lansey
    DOI: 10.1061/(ASCE)WR.1943-5452.0000310
    Publisher: American Society of Civil Engineers
    Abstract: Long-range infrastructure planning is fraught with uncertainties. Population growth may occur faster or slower than expected, regulations may change, and public sentiment can shift. In the face of these uncertainties, water system managers must plan for large infrastructure investments and the questions about when it is desirable to invest in infrastructure and what is the appropriate infrastructure component size to meet growing demands. One of the most powerful and intuitive ways to incorporate uncertainties is to use scenarios that represent plausible futures. Scenario-based planning is gaining acceptance in the water resources community. Preparing for a range of possible futures provides flexibility and adds robustness to the system so it can respond to uncertain events at reasonable costs while maintaining community confidence in their utilities. In this paper, novel scenario-based planning and optimization approaches are presented for the optimal design of regional-scale water supply infrastructure in a multiperiod planning framework. For demonstration, water demand projections are considered as uncertain and multiperiod construction projects are selected to minimize the economic costs. The solution approaches are applied to a decentralized water reclamation planning project in a green-field development area in southeast Tucson, Arizona, where water reclamation is viewed as a potential component for a sustainable water supply.
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      Multiperiod Planning of Water Supply Infrastructure Based on Scenario Analysis

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    http://yetl.yabesh.ir/yetl1/handle/yetl/70171
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    contributor authorDoosun Kang
    contributor authorKevin Lansey
    date accessioned2017-05-08T22:03:40Z
    date available2017-05-08T22:03:40Z
    date copyrightJanuary 2014
    date issued2014
    identifier other%28asce%29wr%2E1943-5452%2E0000358.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/70171
    description abstractLong-range infrastructure planning is fraught with uncertainties. Population growth may occur faster or slower than expected, regulations may change, and public sentiment can shift. In the face of these uncertainties, water system managers must plan for large infrastructure investments and the questions about when it is desirable to invest in infrastructure and what is the appropriate infrastructure component size to meet growing demands. One of the most powerful and intuitive ways to incorporate uncertainties is to use scenarios that represent plausible futures. Scenario-based planning is gaining acceptance in the water resources community. Preparing for a range of possible futures provides flexibility and adds robustness to the system so it can respond to uncertain events at reasonable costs while maintaining community confidence in their utilities. In this paper, novel scenario-based planning and optimization approaches are presented for the optimal design of regional-scale water supply infrastructure in a multiperiod planning framework. For demonstration, water demand projections are considered as uncertain and multiperiod construction projects are selected to minimize the economic costs. The solution approaches are applied to a decentralized water reclamation planning project in a green-field development area in southeast Tucson, Arizona, where water reclamation is viewed as a potential component for a sustainable water supply.
    publisherAmerican Society of Civil Engineers
    titleMultiperiod Planning of Water Supply Infrastructure Based on Scenario Analysis
    typeJournal Paper
    journal volume140
    journal issue1
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)WR.1943-5452.0000310
    treeJournal of Water Resources Planning and Management:;2014:;Volume ( 140 ):;issue: 001
    contenttypeFulltext
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