A review of how decision support tools address resource recovery in sanitation systems

被引:4
|
作者
Ddiba, Daniel [1 ,4 ]
Andersson, Kim [2 ]
Dickin, Sarah [2 ]
Ekener, Elisabeth [1 ]
Finnveden, Goran [1 ,3 ]
机构
[1] KTH Royal Inst Technol, Dept Sustainable Dev Environm Sci & Engn, Teknikringen 10B, SE-10044 Stockholm, Sweden
[2] Stockholm Environm Inst, Linnegatan 87D,Box 24218, S-10451 Stockholm, Sweden
[3] Luxembourg Inst Sci & Technol Environm Sustainabil, Belvaux, Luxembourg
[4] Uppsala Univ, Dept Womens & Childrens Hlth, Dag Hammarskjoldsvag 14B, S-75237 Uppsala, Sweden
基金
瑞典研究理事会;
关键词
Circular economy; Resource recovery; Decision support tools; Biowaste; Sanitation systems; Sanitation economy; WASTE-WATER; SUSTAINABILITY; TECHNOLOGIES; FRAMEWORK; SELECTION; SOFTWARE;
D O I
10.1016/j.jenvman.2023.118365
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Globally, there is increasing interest in recovering resources from sanitation systems. However, the process of planning and implementing circular sanitation is complex and can necessitate software-based tools to support decision-making. In this paper, we review 24 decision support software tools used for sanitation planning, to generate insights into how they address resource recovery across the sanitation chain. The findings reveal that the tools can address many planning issues around resource recovery in sanitation including analysis of material flows, integrating resource recovery technologies and products in the design of sanitation systems, and assessing the sustainability implications of resource recovery. The results and recommendations presented here can guide users in the choice of different tools depending on, for example, what kind of tool features and functions the user is interested in as well as the elements of the planning process and the sanitation service chain that are in focus. However, some issues are not adequately covered and need improvements in the available tools including quantifying the demand for and value of resource recovery products, addressing retrofitting of existing sanitation infrastructure for resource recovery and assessing social impacts of resource recovery from a life cycle perspective. While there is scope to develop new tools or to modify existing ones to cover these gaps, communication efforts are needed to create awareness about existing tools, their functions and how they address resource recovery. It is also important to further integrate the available tools into infrastructure planning and programming processes by e.g. customizing to relevant planning regimes and procedures, to move them beyond research and pilots into practice, and hopefully contribute towards more circular sanitation systems.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] AI TOOLS IN DECISION MAKING SUPPORT SYSTEMS: A REVIEW
    Phillips-Wren, Gloria
    INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2012, 21 (02)
  • [2] Decision-support systems for groundwater protection: innovative tools for resource management
    Kollarits, S
    Kuschnig, G
    Veselic, M
    Pavicic, A
    Soccorso, C
    Aurighi, M
    ENVIRONMENTAL GEOLOGY, 2006, 49 (06): : 840 - 848
  • [3] DECISION SUPPORT SYSTEMS ARE PERSONAL TOOLS
    BLAIR, E
    PERSONNEL JOURNAL, 1988, 67 (12) : 100 - &
  • [4] Decision support tools, systems and indices for sustainable coastal planning and management: A review
    Barzehkar, Mojtaba
    Parnell, Kevin E.
    Soomere, Tarmo
    Dragovich, Deirdre
    Engstrom, Johanna
    OCEAN & COASTAL MANAGEMENT, 2021, 212 (212)
  • [5] Artificial intelligence tools for decision support systems
    RosenthalSabroux, C
    Zarate, P
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1997, 103 (02) : 275 - 276
  • [6] DECISION SUPPORT SYSTEMS TOOLS FOR SOLVING COMPLEX DECISION PROBLEMS
    Vasuthanasub, Jarutpong
    Gheorghe, Adrian, V
    Bucovetchi, Olga
    Simioana, Andreia Elena
    MANAGEMENT PERSPECTIVES IN THE DIGITAL TRANSFORMATION, 2019, : 561 - 572
  • [7] QSDsan: an integrated platform for quantitative sustainable design of sanitation and resource recovery systems
    Li, Yalin
    Zhang, Xinyi
    Morgan, Victoria L.
    Lohman, Hannah A. C.
    Rowles, Lewis S.
    Mittal, Smiti
    Kogler, Anna
    Cusick, Roland D.
    Tarpeh, William A.
    Guest, Jeremy S.
    ENVIRONMENTAL SCIENCE-WATER RESEARCH & TECHNOLOGY, 2022, 8 (10) : 2289 - 2303
  • [8] Effect of decision support tools in pregnancy: A systematic review
    Ngo, Elin
    Nordeng, Hedvig
    Truong, Maria Bich-Thuy
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2020, 29 : 546 - 546
  • [9] Decision support tools for water reuse: a systematic review
    Sampaio, Vanda
    Santos, Ana Silvia Pereira
    Lima, Maria Manuela
    WATER SCIENCE AND TECHNOLOGY, 2024, 90 (10) : 2713 - 2733
  • [10] DECISION SUPPORT SYSTEMS - STRATEGIC MANAGEMENT TOOLS FOR THE EIGHTIES
    REIMANN, BC
    BUSINESS HORIZONS, 1985, 28 (05) : 71 - 77