A new framework for small drinking water plant sustainability support and decision-making

被引:9
|
作者
Jones, Christopher H. [1 ]
Meyer, John [1 ,2 ]
Cornejo, Pablo K. [3 ]
Hogrewe, William [4 ]
Seidel, Chad J. [1 ,5 ]
Cook, Sherri M. [1 ]
机构
[1] Univ Colorado, Dept Civil Environm & Architectural Engn, Boulder, CO 80309 USA
[2] Carollo Engn Inc, Walnut Creek, CA USA
[3] Calif State Univ Chico, Dept Civil Engn, Chico, CA 95929 USA
[4] Rural Community Assistance Partnership, Washington, DC USA
[5] Corona Environm Consulting LLC, Rockland, MA USA
关键词
Small utilities; Decision-making framework; Rural communities; Stakeholder involvement; MCDA; LCA; LIFE-CYCLE ASSESSMENT; MULTICRITERIA; TOOL; TECHNOLOGIES; OPTIMIZATION; COST;
D O I
10.1016/j.scitotenv.2019.133899
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Public drinking water system decisions about treatment processes are becoming more challenging, especially as regulations become more stringent and source water quality degrades. For small systems that serve <10,000 people, treatment decisions are particularly difficult due to limited resources and because they do not currently have resources to help them make informed and sustainable decisions using environmental, social, and economic criteria. Therefore, a user-friendly sustainability assessment framework, which compares treatment processes relevant to a wide variety of small drinking water systems, was constructed. In summary, the framework uses life cycle assessment and multiple-criteria decision analysis to comprehensively evaluate twelve decision criteria, developed specific to small drinking water systems; the framework then uses an aggregation approach to identify and navigate multiple trade-offs and make a final recommendation based on stakeholder values. Four hypothetical scenarios were examined to show the framework's applicability to diverse small systems, ability to help stakeholders navigate trade-offs, and engineering relevance. The framework is universal in its capacity to evaluate systems with different design parameters, source waters, treatment criteria, and stakeholder preferences. (c) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] An integrated decision-making framework for corporate sustainability
    Molin, Michele
    Pizzol, Lisa
    Pesce, Marco
    Maura, Alessandro
    Civiero, Matteo
    Gritti, Elisa
    Giotto, Simone
    Ferri, Alberto
    Liguoro, Lorenzo
    Bagnoli, Carlo
    Semenzin, Elena
    [J]. CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT, 2023, 30 (03) : 1145 - 1160
  • [2] A decision-making framework for process plant maintenance
    Ghosh, Devarun
    Roy, Sandip
    [J]. EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING, 2010, 4 (01) : 78 - 98
  • [3] Improved Decision-Making: A Sociotechnical Utility-Based Framework for Drinking Water Investment
    Schwetschenau, Sara E.
    Schubert, Alyssa
    Smith, Richard J.
    Guikema, Seth
    Love, Nancy G.
    McElmurry, Shawn P.
    [J]. ACS ES&T ENGINEERING, 2023, 2 (08): : 1475 - 1490
  • [4] A NEW DECISION-MAKING SYSTEMS FRAMEWORK
    Molloy, Ella-Mae
    Siemieniuch, Carys
    Sinclair, Murray
    [J]. CONTEMPORARY ERGONOMICS 2008, 2008, : 55 - +
  • [5] DECISION SUPPORT SYSTEMS - NEW TECHNOLOGY OF DECISION-MAKING
    VAZSONYI, A
    [J]. INTERFACES, 1978, 9 (01) : 72 - 77
  • [6] A NEW ENTREPRENEURIAL DECISION-MAKING SUPPORT FRAMEWORK FOR ASSESSING BUSINESS LINE CORRELATIONS
    Fulea, Mircea
    Sandru, Gabriela
    Brad, Stelian
    Maftei, Mihaela
    [J]. AMFITEATRU ECONOMIC, 2015, 17 : 1198 - 1212
  • [7] Towards housing sustainability: a framework for the decision-making process of tenants
    Pagani, A.
    Binder, C. R.
    [J]. SUSTAINABLE BUILT ENVIRONMENT D-A-CH CONFERENCE 2019 (SBE19 GRAZ), 2019, 323
  • [8] A framework to assess intelligent decision-making support systems
    Mora, M
    Forgionne, G
    Gupta, J
    Cervantes, F
    Gelman, O
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 2003, 2774 : 59 - 65
  • [9] A Knowledge Service Framework for Operational Decision-Making Support
    Shen Zhihu
    Yuan Zaijiang
    Gao Yibo
    [J]. PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INDUSTRIAL ENGINEERING, VOLS I AND II, 2010, : 966 - 969
  • [10] Emotional Support Animals: A Framework for Clinical Decision-Making
    Ferrell, Jillian
    Crowley, Susan L.
    [J]. PROFESSIONAL PSYCHOLOGY-RESEARCH AND PRACTICE, 2021, 52 (06) : 560 - 568