IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i1p338-d303926.html
   My bibliography  Save this article

Effects of Inter-Basin Water Transfer on Water Flow Condition of Destination Basin

Author

Listed:
  • Dieu Tien Bui

    (Geographic Information Science Research Group, Ton Duc Thang University, Ho Chi Minh City, Minh, Vietnam
    Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Minh, Vietnam)

  • Dawood Talebpour Asl

    (Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj 66177-15175, Iran)

  • Ezatolla Ghanavati

    (Department of Geomorphology, Faculty of Geography, University of Kharazmi, Tehran 15719-14911, Iran)

  • Nadhir Al-Ansari

    (Department of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, 971 87 Lulea, Sweden)

  • Saeed Khezri

    (Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj 66177-15175, Iran)

  • Kamran Chapi

    (Department of Watershed and Rangeland Management, Faculty of Natural Resources, University of Kurdistan, Sanandaj 66177-15175, Iran)

  • Ata Amini

    (Kurdistan Agricultural and Natural Resources Research and Education Center, AREEO, Sanandaj 66177-15175, Iran)

  • Binh Thai Pham

    (Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam)

Abstract

In recent years, the intensification of drought and unsustainable management and use of water resources have caused a significant decline in the water level of the Urmia Lake in the northwest of Iran. This condition has affected the lake, approaching an irreversible point such that many projects have been implemented and are being implemented to save the natural condition of the Urmia Lake, among which the inter-basin water transfer (IBWT) project from the Zab River to the lake could be considered an important project. The main aim of this research is the evaluation of the IBWT project effects on the Gadar destination basin. Simulations of the geometrical properties of the river, including the bed and flow, have been performed, and the land cover and flood map were overlapped in order to specify the areas prone to flood after implementing the IBWT project. The results showed that with the implementation of this project, the discharge of the Gadar River was approximately tripled and the water level of the river rose 1 m above the average. In April, May, and June, about 952.92, 1458.36, and 731.43 ha of land adjacent to the river (floodplain) will be inundated by flood, respectively. Results also indicated that UNESCO’s criteria No. 3 (“a comprehensive environmental impact assessment must indicate that the project will not substantially degrade the environmental quality within the area of origin or the area of delivery”) and No. 5 (“the net benefits from the transfer must be shared equitably between the area of origin and the area of water delivery”) have been violated by implementing this project in the study area. The findings could help the local government and other decision-makers to better understand the effects of the IBWT projects on the physical and hydrodynamic processes of the Gadar River as a destination basin.

Suggested Citation

  • Dieu Tien Bui & Dawood Talebpour Asl & Ezatolla Ghanavati & Nadhir Al-Ansari & Saeed Khezri & Kamran Chapi & Ata Amini & Binh Thai Pham, 2020. "Effects of Inter-Basin Water Transfer on Water Flow Condition of Destination Basin," Sustainability, MDPI, vol. 12(1), pages 1-21, January.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:1:p:338-:d:303926
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/1/338/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/1/338/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shaghayegh Miraki & Sasan Hedayati Zanganeh & Kamran Chapi & Vijay P. Singh & Ataollah Shirzadi & Himan Shahabi & Binh Thai Pham, 2019. "Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 281-302, January.
    2. Marzie Ghorbani-Aghdam & Yagob Dinpashoh & Ali Mostafaeipour, 2013. "Application of factor analysis in defining drought prone areas in Lake Urmia Basin," 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. 69(1), pages 267-277, October.
    3. Jun-Yi Zhang & La-Chun Wang, 2015. "Assessment of water resource security in Chongqing City of China: What has been done and what remains to be done?," 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. 75(3), pages 2751-2772, February.
    4. M. Rezapour Tabari & Abdollah Yazdi, 2014. "Conjunctive Use of Surface and Groundwater with Inter-Basin Transfer Approach: Case Study Piranshahr," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(7), pages 1887-1906, May.
    5. Siyue Li, 2012. "China’s huge investment on water facilities: an effective adaptation to climate change, natural disasters, and food security," 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. 61(3), pages 1473-1475, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ata Amini, 2020. "The role of climate parameters variation in the intensification of dust phenomenon," 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. 102(1), pages 445-468, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dieu Tien Bui & Ataollah Shirzadi & Ata Amini & Himan Shahabi & Nadhir Al-Ansari & Shahriar Hamidi & Sushant K. Singh & Binh Thai Pham & Baharin Bin Ahmad & Pezhman Taherei Ghazvinei, 2020. "A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers," Sustainability, MDPI, vol. 12(3), pages 1-24, February.
    2. Viet-Ha Nhu & Ataollah Shirzadi & Himan Shahabi & Sushant K. Singh & Nadhir Al-Ansari & John J. Clague & Abolfazl Jaafari & Wei Chen & Shaghayegh Miraki & Jie Dou & Chinh Luu & Krzysztof Górski & Binh, 2020. "Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms," IJERPH, MDPI, vol. 17(8), pages 1-30, April.
    3. Jing Tian & Dedi Liu & Shenglian Guo & Zhengke Pan & Xingjun Hong, 2019. "Impacts of Inter-Basin Water Transfer Projects on Optimal Water Resources Allocation in the Hanjiang River Basin, China," Sustainability, MDPI, vol. 11(7), pages 1-19, April.
    4. Loske, Dominic & Klumpp, Matthias, 2021. "Human-AI collaboration in route planning: An empirical efficiency-based analysis in retail logistics," International Journal of Production Economics, Elsevier, vol. 241(C).
    5. R. Roozbahani & B. Abbasi & S. Schreider, 2015. "Optimal allocation of water to competing stakeholders in a shared watershed," Annals of Operations Research, Springer, vol. 229(1), pages 657-676, June.
    6. Saeideh Samani & Meysam Vadiati & Farahnaz Azizi & Efat Zamani & Ozgur Kisi, 2022. "Groundwater Level Simulation Using Soft Computing Methods with Emphasis on Major Meteorological Components," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3627-3647, August.
    7. Mohamed Abdelkareem & Abbas M. Mansour, 2023. "Risk assessment and management of vulnerable areas to flash flood hazards in arid regions using remote sensing and GIS-based knowledge-driven techniques," 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. 117(3), pages 2269-2295, July.
    8. Kaize Zhang & Juqin Shen & Ran He & Bihang Fan & Han Han, 2019. "Dynamic Analysis of the Coupling Coordination Relationship between Urbanization and Water Resource Security and Its Obstacle Factor," IJERPH, MDPI, vol. 16(23), pages 1-16, November.
    9. Qianjin Dong & Xu Zhang & Yalin Chen & Debin Fang, 2019. "Dynamic Management of a Water Resources-Socioeconomic-Environmental System Based on Feedbacks Using System Dynamics," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2093-2108, April.
    10. R. Roozbahani & B. Abbasi & S. Schreider & A. Ardakani, 2014. "A Multi-objective Approach for Transboundary River Water Allocation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(15), pages 5447-5463, December.
    11. Weiyu Yu & Nicola A Wardrop & Robert E S Bain & Victor Alegana & Laura J Graham & Jim A Wright, 2019. "Mapping access to domestic water supplies from incomplete data in developing countries: An illustrative assessment for Kenya," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-19, May.
    12. Wang, Youzhi & Guo, Shanshan & Yue, Qing & Mao, Xiaomin & Guo, Ping, 2021. "Distributed AquaCrop simulation-nonlinear multi-objective dependent-chance programming for irrigation water resources management under uncertainty," Agricultural Water Management, Elsevier, vol. 247(C).
    13. Feng Zhou & Weici Su & Fengtai Zhang, 2019. "Influencing Indicators and Quantitative Assessment of Water Resources Security in Karst Region Based on PSER Model—The Case of Guizhou," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    14. Emna Boughariou & Nabila Allouche & Fatma Ben Brahim & Ghada Nasri & Salem Bouri, 2021. "Delineation of groundwater potentials of Sfax region, Tunisia, using fuzzy analytical hierarchy process, frequency ratio, and weights of evidence models," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14749-14774, October.
    15. Deliang Sun & Jianping Wu & Fengtai Zhang & Weici Su & Hong Hui, 2018. "Evaluating Water Resource Security in Karst Areas Using DPSIRM Modeling, Gray Correlation, and Matter–Element Analysis," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
    16. 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.
    17. Mehrdad Jeihouni & Ara Toomanian & Ali Mansourian, 2020. "Decision Tree-Based Data Mining and Rule Induction for Identifying High Quality Groundwater Zones to Water Supply Management: a Novel Hybrid Use of Data Mining and GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(1), pages 139-154, January.
    18. Binh Thai Pham & Ataollah Shirzadi & Himan Shahabi & Ebrahim Omidvar & Sushant K. Singh & Mehebub Sahana & Dawood Talebpour Asl & Baharin Bin Ahmad & Nguyen Kim Quoc & Saro Lee, 2019. "Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms," Sustainability, MDPI, vol. 11(16), pages 1-25, August.
    19. Phong Tung Nguyen & Duong Hai Ha & Abolfazl Jaafari & Huu Duy Nguyen & Tran Van Phong & Nadhir Al-Ansari & Indra Prakash & Hiep Van Le & Binh Thai Pham, 2020. "Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam," IJERPH, MDPI, vol. 17(7), pages 1-20, April.
    20. Jihye Han & Jinsoo Kim & Soyoung Park & Sanghun Son & Minji Ryu, 2020. "Seismic Vulnerability Assessment and Mapping of Gyeongju, South Korea Using Frequency Ratio, Decision Tree, and Random Forest," Sustainability, MDPI, vol. 12(18), pages 1-22, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:1:p:338-:d:303926. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.