Scenario-based evaluation of integrated urban water management framework: a decision making approach

被引:1
|
作者
Maurya, Satya Prakash [1 ]
Ohri, Anurag [1 ]
Singh, Prabhat Kumar [1 ]
Singh, Ramesh [1 ]
机构
[1] Indian Inst Technol BHU, Varanasi, India
关键词
integrated urban water management; IUWM; reclaimed water; sustainability; urban water balance; UWB; water for development planning; WDP;
D O I
10.1504/IJESD.2023.133825
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In general, urban water management has been viewed as an exercise of meeting the domestic and industrial water demands from surface water and ground water sources. Nevertheless water-based development planning requires realistic estimation of balance between supply and demand within the geographical boundary. Recently, water management system is facing challenges of sustainable development goals (SDGs) in urban water sector. In the present paper an attempt has been made to review the various frameworks and systems developed for evaluating sustainability of an integrated urban water management (IUWM). Further, a computer application-based conceptual framework has been developed as a decision support system for integrated urban water management (DSS_IUWM) taking urban water management of Varanasi City (UP, India) as a case study. With the combination of available alternate water supply in the city, a scenario-based urban water balance has been evaluated. The study indicates that urban water balance (UWB) of Varanasi City is under unsustainable water condition with a negative value of 97 MCM. The study finally reports that a water sustainable condition in Varanasi City may be achieved through augmentation of storm water (55.4 MCM) management or reduction in fresh water demand through reuse of reclaimed water (36.5 MCM).
引用
收藏
页码:393 / 408
页数:17
相关论文
共 50 条
  • [31] A SCENARIO-BASED APPROACH FOR DESIGNING A STROKE CLINICAL DECISION SUPPORT SYSTEM
    Kao, Hao-Yun
    Lin, Li-Min
    Jhu, Yi-Cheng
    Wang, Shu-Ching
    Wu, Jen-Her
    [J]. PROCEEDINGS OF THE IADIS INTERNATIONAL CONFERENCE E-HEALTH 2012, 2012, : 242 - 246
  • [32] A comprehensive approach to scenario-based risk management for Arctic waters
    Bergstrom, Martin
    Browne, Thomas
    Ehlers, Soren
    Helle, Inari
    Herrnring, Hauke
    Khan, Faisal
    Kubiczek, Jan
    Kujala, Pentti
    Korgesaar, Mihkel
    Leira, Bernt Johan
    Parviainen, Tuuli
    Polojarvi, Arttu
    Suominen, Mikko
    Taylor, Rocky
    Tuhkuri, Jukka
    Vanhatalo, Jarno
    Veitch, Brian
    [J]. SHIP TECHNOLOGY RESEARCH, 2022, 69 (03) : 129 - 157
  • [33] Scenario-based assessment of emergency management of urban infectious disease outbreaks
    Yuan, Pengwei
    Liu, Huifang
    Dong, Xiaoqing
    [J]. FRONTIERS IN PUBLIC HEALTH, 2024, 12
  • [34] A scenario-based approach for the design of Smart Energy and Water Hub
    Roustaei, M.
    Niknam, T.
    Salari, S.
    Chabok, H.
    Sheikh, M.
    Kavousi-Fard, A.
    Aghaei, J.
    [J]. ENERGY, 2020, 195
  • [35] A scenario-based model for earthquake emergency management effectiveness evaluation
    Zhang, Y.
    Weng, W. G.
    Huang, Z. L.
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2018, 128 : 197 - 207
  • [36] A scenario-based approach for assessing the energy performance of urban development pathways
    Silva, Mafalda
    Leal, Vitor
    Oliveira, Vitor
    Horta, Isabel M.
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2018, 40 : 372 - 382
  • [37] Scenario-based potential effects of carbon trading in China: An integrated approach
    Zhang, Cheng
    Wang, Qunwei
    Shi, Dan
    Li, Pengfei
    Cai, Wanhuan
    [J]. APPLIED ENERGY, 2016, 182 : 177 - 190
  • [38] Selection of an appropriate wastewater treatment technology: A scenario-based multiple-attribute decision-making approach
    Kalbar, Pradip P.
    Karmakar, Subhankar
    Asolekar, Shyam R.
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2012, 113 : 158 - 169
  • [39] A scenario-based coupled SWAT-MODFLOW decision support system for advanced water resource management
    Izady, A.
    Joodavi, A.
    Ansarian, M.
    Shafiei, M.
    Majidi, M.
    Davary, K.
    Ziaei, A. N.
    Ansari, H.
    Nikoo, M. R.
    Al-Maktoumi, A.
    Chen, M.
    Abdalla, O.
    [J]. JOURNAL OF HYDROINFORMATICS, 2022, 24 (01) : 56 - 77
  • [40] Collision Prediction in an Integrated Framework of Scenario-Based and Data-Driven Approaches
    Lee, Sungwoo
    Song, Bongsob
    Shin, Jangho
    [J]. IEEE ACCESS, 2024, 12 : 55234 - 55247