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Regulation and Optimization of Urban Water and Land Resources Utilization for Low Carbon Development: A Case Study of Tianjin, China

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  • Wenyuan Jiang

    (School of Economics and Management, Hebei University of Technology, Tianjin 300401, China
    Tianjin Academy of Eco-Environmental Sciences, Tianjin 300191, China)

  • Zhenxiang Zeng

    (School of Economics and Management, Hebei University of Technology, Tianjin 300401, China)

  • Zhengyun Zhang

    (Tianjin Academy of Eco-Environmental Sciences, Tianjin 300191, China)

  • Yichen Zhao

    (Tianjin Academy of Eco-Environmental Sciences, Tianjin 300191, China)

Abstract

The consumption of energy and resources produces carbon emissions and exacerbates global warming. As the basic resources for urban development, the development and utilization of water and land resources consume a large amount of energy, which results in carbon emissions. This paper presents a study aimed at analyzing the interaction of urban water–land–energy and its carbon emission effects and finding ways to achieve the win-win situation of carbon emission reduction and economic development. We used an SD-MOP model combined with system dynamics (SD) and multi-objective programming (MOP) to describe the feedback relationship between urban water and land resources utilization and carbon emissions, designed a comprehensive scheme for carbon emission reduction goal and optimized it in order to achieve the low carbon development goal. Tianjin, one of the four province-level municipalities, was investigated as a case study for this research. The simulation results indicate that Tianjin’s carbon emissions from water and land utilization will peak around 2025 when applying the comprehensive regulation scheme. After optimization, the optimal regulation scheme would achieve considerable social, economic and environmental benefits. We suggest the implementation of measures including the optimization of the industrial, energy and land use structure; the improvement of energy efficiency; increasing residents’ low carbon awareness; and strengthening industrial and domestic water savings to realize the low carbon development of the city. The findings of this study will be useful for the management of urban water and land utilization.

Suggested Citation

  • Wenyuan Jiang & Zhenxiang Zeng & Zhengyun Zhang & Yichen Zhao, 2022. "Regulation and Optimization of Urban Water and Land Resources Utilization for Low Carbon Development: A Case Study of Tianjin, China," Sustainability, MDPI, vol. 14(5), pages 1-22, February.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2760-:d:759434
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    1. Leibowicz, Benjamin D., 2020. "Urban land use and transportation planning for climate change mitigation: A theoretical framework," European Journal of Operational Research, Elsevier, vol. 284(2), pages 604-616.
    2. Smriti Mallapaty, 2020. "How China could be carbon neutral by mid-century," Nature, Nature, vol. 586(7830), pages 482-483, October.
    3. Hirsch, Cornelius & Krisztin, Tamás & See, Linda, 2020. "Water Resources as Determinants for Foreign Direct Investments in Land - A Gravity Analysis of Foreign Land Acquisitions," Ecological Economics, Elsevier, vol. 170(C).
    4. Arash Azari & Saeid Hamzeh & Saba Naderi, 2018. "Multi-Objective Optimization of the Reservoir System Operation by Using the Hedging Policy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(6), pages 2061-2078, April.
    5. Biswas, Animesh & Pal, Bijay Baran, 2005. "Application of fuzzy goal programming technique to land use planning in agricultural system," Omega, Elsevier, vol. 33(5), pages 391-398, October.
    6. Wang, Xue-Chao & Klemeš, Jiří Jaromír & Wang, Yutao & Dong, Xiaobin & Wei, Hejie & Xu, Zihan & Varbanov, Petar Sabev, 2020. "Water-Energy-Carbon Emissions nexus analysis of China: An environmental input-output model-based approach," Applied Energy, Elsevier, vol. 261(C).
    7. Jing Tian & Shenglian Guo & Dedi Liu & Zhengke Pan & Xingjun Hong, 2019. "A Fair Approach for Multi-Objective Water Resources Allocation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(10), pages 3633-3653, August.
    8. Ali Mirchi & Kaveh Madani & David Watkins & Sajjad Ahmad, 2012. "Synthesis of System Dynamics Tools for Holistic Conceptualization of Water Resources Problems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(9), pages 2421-2442, July.
    9. Sepaskhah, A.R. & Azizian, A. & Tavakoli, A.R., 2006. "Optimal applied water and nitrogen for winter wheat under variable seasonal rainfall and planning scenarios for consequent crops in a semi-arid region," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 113-122, July.
    10. Pennington, Derric N. & Dalzell, Brent & Nelson, Erik & Mulla, David & Taff, Steve & Hawthorne, Peter & Polasky, Stephen, 2017. "Cost-effective Land Use Planning: Optimizing Land Use and Land Management Patterns to Maximize Social Benefits," Ecological Economics, Elsevier, vol. 139(C), pages 75-90.
    11. Liu, Dehai & Ji, Xiaoxian & Tang, Jiafu & Li, Hongyi, 2020. "A fuzzy cooperative game theoretic approach for multinational water resource spatiotemporal allocation," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1025-1037.
    12. Karthik Murali & Michael K. Lim & Nicholas C. Petruzzi, 2015. "Municipal Groundwater Management: Optimal Allocation and Control of a Renewable Natural Resource," Production and Operations Management, Production and Operations Management Society, vol. 24(9), pages 1453-1472, September.
    13. Saaty, Thomas L., 1986. "Absolute and relative measurement with the AHP. The most livable cities in the United States," Socio-Economic Planning Sciences, Elsevier, vol. 20(6), pages 327-331.
    14. Xu, Hui & Brown, Daniel G. & Moore, Michael R. & Currie, William S., 2018. "Optimizing Spatial Land Management to Balance Water Quality and Economic Returns in a Lake Erie Watershed," Ecological Economics, Elsevier, vol. 145(C), pages 104-114.
    15. Zhao, Rongqin & Liu, Ying & Tian, Mengmeng & Ding, Minglei & Cao, Lianhai & Zhang, Zhanping & Chuai, Xiaowei & Xiao, Liangang & Yao, Lunguang, 2018. "Impacts of water and land resources exploitation on agricultural carbon emissions: The water-land-energy-carbon nexus," Land Use Policy, Elsevier, vol. 72(C), pages 480-492.
    16. Kun Cheng & Qiang Fu & Tianxiao Li & Qiuxiang Jiang & Wei Liu, 2015. "Regional food security risk assessment under the coordinated development of water resources," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(1), pages 603-619, August.
    17. Ali, Yousaf, 2017. "Carbon, water and land use accounting: Consumption vs production perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 921-934.
    18. Junfei Chen & Cong Yu & Miao Cai & Huimin Wang & Pei Zhou, 2020. "Multi-Objective Optimal Allocation of Urban Water Resources While Considering Conflict Resolution Based on the PSO Algorithm: A Case Study of Kunming, China," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    19. Watanabe, Marcos D.B. & Ortega, Enrique, 2014. "Dynamic emergy accounting of water and carbon ecosystem services: A model to simulate the impacts of land-use change," Ecological Modelling, Elsevier, vol. 271(C), pages 113-131.
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