Decision support for scenario analysis in a complex water resource project

IF 1.4 Q4 WATER RESOURCES Journal of Applied Water Engineering and Research Pub Date : 2020-11-19 DOI:10.1080/23249676.2020.1844604

Rimpa Jaiswal, A. K. Lohani, R. Galkate

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引用次数: 1

Abstract

Multi-criteria decision support (MCDS) was developed and demonstrated for a complex reservoir system for a comprehensive assessment of performance for a complex reservoir system. A management model for the Tandula complex system in India was developed in MIKE HYDRO Basin. This system has three interconnected reservoirs, three irrigation commands, and one industrial user. The results from simulations were analyzed in multi-criteria decision support using an economic and six performance indicators to get a comprehensive performance index for the system. The results of the analysis confirmed that the yearly deficit of the Tandula command maybe about 6.36 MCM with 88% reliability under the present efficiency of 51% and no groundwater use (SCN-1). The comprehensive performance index for scenario SCN-1 was 0.13 which can be increased to 0.86 by increasing efficiencies and consumptive use. Abbreviations: AHP: Analytical hierarchical process; ANN: Artificial Neural Network; BSP: Bhilai Steel Plant; CEA: Cost effectiveness analysis; DAPP: Dynamic adaptive policy pathways; DS: Decision scaling; GW: Groundwater; Ha: Hectare; MORDM: Many objective robust decision making; MOVA: Many-objective visual analytics; MCDA: Multi Criteria Decision Analysis; MCM: Million cubic meter; MCDA: Multi-criteria decision analysis; NB-DSS: Nile Basin Decision Support System; ROA: Real options analysis; RRV: Reliability, resilience, vulnerability; RDM: Robust decision making; WEAP: Water Evaluation and Planning; SCN: Scenario; VIDEO Visually interactive decision-making and design using evolutionary multi-objective optimization

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复杂水资源项目情景分析的决策支持

针对复杂油藏系统开发并演示了多准则决策支持（MCDS），用于对复杂油藏系统的性能进行综合评估。在MIKE HYDRO盆地开发了印度Tandula复杂系统的管理模型。该系统有三个相互连接的水库、三个灌溉命令和一个工业用户。在多准则决策支持中使用一个经济指标和六个性能指标对模拟结果进行分析，以获得系统的综合性能指标。分析结果证实，在目前51%的效率和不使用地下水（SCN-1）的情况下，坦杜拉指挥部的年度赤字可能约为6.36百万立方米，可靠性为88%。情景SCN-1的综合性能指数为0.13，通过提高效率和消耗使用，可以提高到0.86。缩写：AHP：层次分析法；人工神经网络；BSP:比莱钢铁厂；CEA：成本效益分析；DAPP：动态适应性政策路径；DS：决策缩放；GW：地下水；哈：赫克托耳；MORDM：多目标稳健决策；MOVA：许多客观的视觉分析；多准则决策分析；MCM：百万立方米；MCDA：多准则决策分析；NB-DSS：尼罗河流域决策支持系统；ROA：实物期权分析；RRV：可靠性、弹性、脆弱性；RDM：稳健的决策；WEAP：水资源评估和规划；SCN：场景；视频使用进化多目标优化进行可视化交互式决策和设计

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来源期刊

Journal of Applied Water Engineering and Research WATER RESOURCES-

CiteScore

2.90

自引率

16.70%

发文量

期刊介绍： JAWER’s paradigm-changing (online only) articles provide directly applicable solutions to water engineering problems within the whole hydrosphere (rivers, lakes groundwater, estuaries, coastal and marine waters) covering areas such as: integrated water resources management and catchment hydraulics hydraulic machinery and structures hydraulics applied to water supply, treatment and drainage systems (including outfalls) water quality, security and governance in an engineering context environmental monitoring maritime hydraulics ecohydraulics flood risk modelling and management water related hazards desalination and re-use.