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An Integrated Groundwater Management Mode Based on Control Indexes of Groundwater Quantity and Level

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  • Fawen Li
  • Ping Feng
  • Wei Zhang
  • Ting Zhang

Abstract

Groundwater is an important source of freshwater throughout the world. Due to over-exploitation of groundwater over many years, a number of potential adverse hydrogeological problems have raised. To reduce such adverse effects, it is necessary to carry out strict groundwater management in over-exploited areas. In this study, quantity-level binary control management mode has been developed in Tianjin. Initially, the management is the key to determine control levels of groundwater including the blue line levels (proper levels) and red line levels (warning levels), the blue line levels can be determined by the ground settlement recovery scenario, and the red line levels can be determined through planning groundwater exploitation scenarios. By comparing the real-time observed groundwater data with the blue levels and red levels the management grade of groundwater levels which are present, can thus be identified. Secondly, the corresponding management strategies would be determined by the management grade. On this basis reasonable groundwater levels and mining schemes can be made. Finally, the water quota for each sector can be optimized and adjusted in real time according to the binary groundwater management methodology established in this study. Thus, the exploitation of groundwater can be monitored and dynamically managed by the real-time monitoring levels and the sustainable utilization of groundwater resources can be achieved. To achieve all the objectives mentioned above, it is necessary to provide a powerful tool through the utilization of a numerical model for groundwater management. Based on geological and hydrogeological conditions in Tianjin city, a three-dimensional numerical groundwater flow model was established by coupling a one-dimensional soil consolidation model with MODFLOW model. Through calibration and verification, the model showed good simulation accuracy. It proved that the new management mode can provide a scientific basis for groundwater management. Copyright Springer Science+Business Media Dordrecht 2013

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  • Fawen Li & Ping Feng & Wei Zhang & Ting Zhang, 2013. "An Integrated Groundwater Management Mode Based on Control Indexes of Groundwater Quantity and Level," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(9), pages 3273-3292, July.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:9:p:3273-3292
    DOI: 10.1007/s11269-013-0346-8
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    References listed on IDEAS

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    1. Asad Qureshi & Peter McCornick & A. Sarwar & Bharat Sharma, 2010. "Challenges and Prospects of Sustainable Groundwater Management in the Indus Basin, Pakistan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(8), pages 1551-1569, June.
    2. R. Rejani & Madan Jha & Sudhindra Panda, 2009. "Simulation-Optimization Modelling for Sustainable Groundwater Management in a Coastal Basin of Orissa, India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(2), pages 235-263, January.
    3. Fakhri Manghi & Dennis Williams & Jack Safely & Moshrik Hamdi, 2012. "Groundwater Flow Modeling of the Arlington Basin to Evaluate Management Strategies for Expansion of the Arlington Desalter Water Production," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(1), pages 21-41, January.
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    2. Henrietta E. M. George-Williams & Dexter V. L. Hunt & Christopher D. F. Rogers, 2024. "Sustainable Water Infrastructure: Visions and Options for Sub-Saharan Africa," Sustainability, MDPI, vol. 16(4), pages 1-30, February.
    3. Wenyong Wu & Shiyang Yin & Honglu Liu & Honghan Chen, 2014. "Groundwater Vulnerability Assessment and Feasibility Mapping Under Reclaimed Water Irrigation by a Modified DRASTIC Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(5), pages 1219-1234, March.
    4. Daniela Ducci & Mariangela Sellerino, 2015. "Groundwater Mass Balance in Urbanized Areas Estimated by a Groundwater Flow Model Based on a 3D Hydrostratigraphical Model: the Case Study of the Eastern Plain of Naples (Italy)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(12), pages 4319-4333, September.
    5. Fawen Li & Jiale Qiao & Yong Zhao & Wei Zhang, 2014. "Risk Assessment of Groundwater and its Application. Part II: Using a Groundwater Risk Maps to Determine Control Levels of the Groundwater," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4875-4893, October.
    6. Abbas Roozbahani & Ebrahim Ebrahimi & Mohammad Ebrahim Banihabib, 2018. "A Framework for Ground Water Management Based on Bayesian Network and MCDM Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 4985-5005, December.

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