IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i7p3978-d529483.html
   My bibliography  Save this article

Identifying Potential Sites for Artificial Recharge in the Plain Area of the Daqing River Catchment Using GIS-Based Multi-Criteria Analysis

Author

Listed:
  • Guigui Xu

    (College of Construction Engineering, Jilin University, Changchun 130026, China
    Institute of Water Resources and Environment, Jilin University, Changchun 130021, China)

  • Xiaosi Su

    (College of Construction Engineering, Jilin University, Changchun 130026, China
    Institute of Water Resources and Environment, Jilin University, Changchun 130021, China)

  • Yiwu Zhang

    (Nanjing Center of China Geological Surver, Nanjing 210016, China)

  • Bing You

    (Hebei Provincial Prospecting Institute of Hydrogeology and Engineering Geology, Shijiazhuang 050021, China)

Abstract

As an essential component for the development of the Xiong’an New Area, China’s second capital, groundwater in the area has been overexploited, resulting in ecological and environmental geological problems. Therefore, artificial groundwater replenishment measures are urgently required, for which the evaluation of the recharge potential is an important prerequisite. In this study, a GIS (Geographic Information System)-based multi-criteria evaluation system was constructed, considering the source water conditions, recharge infiltration conditions, aquifer storage conditions, and environmental conditions. In addition, factors such as the distance to a canal, source water quality, slope, vadose zone infiltration rate, drainage density, groundwater depth, aquifer hydraulic conductivity, aquifer thickness, groundwater quality, soil quality, and distance to sensitive areas were also analyzed. GIS was used to draw and calculate potential artificial recharge sites. The results showed that the potential recharge sites in the study area are mainly distributed in the alluvial plains on both sides of the river, with a total area of 2103.9 km 2 , accounting for 15.8% of the total study area. In the Xiong’an New Area, the potential sites are mainly distributed in the alluvial–proluvial plains on both sides of the Baigou River in the north-central area, with a total area of 39.4 km 2 , accounting for approximately 2.2% of the total area of the Xiong’an New Area.

Suggested Citation

  • Guigui Xu & Xiaosi Su & Yiwu Zhang & Bing You, 2021. "Identifying Potential Sites for Artificial Recharge in the Plain Area of the Daqing River Catchment Using GIS-Based Multi-Criteria Analysis," Sustainability, MDPI, vol. 13(7), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3978-:d:529483
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/7/3978/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/7/3978/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. M. Chitsazan & Y. Akhtari, 2009. "A GIS-based DRASTIC Model for Assessing Aquifer Vulnerability in Kherran Plain, Khuzestan, Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(6), pages 1137-1155, April.
    2. Shereif Mahmoud & A. Alazba & Amin T, 2014. "Identification of Potential Sites for Groundwater Recharge Using a GIS-Based Decision Support System in Jazan Region-Saudi Arabia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3319-3340, August.
    3. Rajat Agarwal & P. Garg, 2016. "Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision Making Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 243-260, January.
    4. Adriana Monteiro da Costa & Hugo Henrique Cardoso de Salis & João Hebert Moreira Viana & Fernando António Leal Pacheco, 2019. "Groundwater Recharge Potential for Sustainable Water Use in Urban Areas of the Jequitiba River Basin, Brazil," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    5. Rajat Agarwal & P. K. Garg, 2016. "Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision Making Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 243-260, January.
    6. Siti Nuryanah & Sardar M. N. Islam, 2015. "The Context of the Case Study," Palgrave Macmillan Books, in: Corporate Governance and Financial Management, chapter 5, pages 145-156, Palgrave Macmillan.
    7. Ismail Chenini & Abdallah Mammou & Moufida El May, 2010. "Groundwater Recharge Zone Mapping Using GIS-Based Multi-criteria Analysis: A Case Study in Central Tunisia (Maknassy Basin)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(5), pages 921-939, March.
    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. José Luis Uc Castillo & José Alfredo Ramos Leal & Diego Armando Martínez Cruz & Adrián Cervantes Martínez & Ana Elizabeth Marín Celestino, 2021. "Identification of the Dominant Factors in Groundwater Recharge Process, Using Multivariate Statistical Approaches in a Semi-Arid Region," Sustainability, MDPI, vol. 13(20), pages 1-21, October.

    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. Uday Mandal & Satiprasad Sahoo & Selva Balaji Munusamy & Anirban Dhar & Sudhindra N. Panda & Amlanjyoti Kar & Prasanta K. Mishra, 2016. "Delineation of Groundwater Potential Zones of Coastal Groundwater Basin Using Multi-Criteria Decision Making Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4293-4310, September.
    2. Duong Hai Ha & Phong Tung Nguyen & Romulus Costache & Nadhir Al-Ansari & Tran Phong & Huu Duy Nguyen & Mahdis Amiri & Rohit Sharma & Indra Prakash & Hiep Le & Hanh Bich Thi Nguyen & Binh Thai Pham, 2021. "Quadratic Discriminant Analysis Based Ensemble Machine Learning Models for Groundwater Potential Modeling and Mapping," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(13), pages 4415-4433, October.
    3. Ujjayini Priya & Muhammad Anwar Iqbal & Mohammed Abdus Salam & Md. Nur-E-Alam & Mohammed Faruque Uddin & Abu Reza Md. Towfiqul Islam & Showmitra Kumar Sarkar & Saiful Islam Imran & Aweng Eh Rak, 2022. "Sustainable Groundwater Potential Zoning with Integrating GIS, Remote Sensing, and AHP Model: A Case from North-Central Bangladesh," Sustainability, MDPI, vol. 14(9), pages 1-24, May.
    4. Shabnam Mehrnoor & Maryam Robati & Mir Masoud Kheirkhah Zarkesh & Forough Farsad & Shahram Baikpour, 2023. "Land subsidence hazard assessment based on novel hybrid approach: BWM, weighted overlay index (WOI), and support vector machine (SVM)," 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. 115(3), pages 1997-2030, February.
    5. Xue Wang & Kun Tan & Kailei Xu & Yu Chen & Jianwei Ding, 2019. "Quantitative Evaluation of the Eco-Environment in a Coalfield Based on Multi-Temporal Remote Sensing Imagery: A Case Study of Yuxian, China," IJERPH, MDPI, vol. 16(3), pages 1-18, February.
    6. Neslihan Beden & Nazire Göksu Soydan-Oksal & Sema Arıman & Hayatullah Ahmadzai, 2023. "Delineation of a Groundwater Potential Zone Map for the Kızılırmak Delta by Using Remote-Sensing-Based Geospatial and Analytical Hierarchy Processes," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    7. Ting Liu & Sherong Zhang & Chao Wang, 2021. "A BIM-Based Safety Management Framework for Operation and Maintenance in Water Diversion Projects," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1619-1635, March.
    8. Xinyang Liu & Yu Wang, 2022. "Identification and Assessment of Groundwater and Soil Contamination from an Informal Landfill Site," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    9. Pazhuparambil Jayarajan Sajil Kumar & Lakshmanan Elango & Michael Schneider, 2022. "GIS and AHP Based Groundwater Potential Zones Delineation in Chennai River Basin (CRB), India," Sustainability, MDPI, vol. 14(3), pages 1-22, February.
    10. Roshani Singh & Aditya Kumar Anand & Pallavi Banerjee Chattopadhyay, 2022. "Investigation of Topographical Controls on the Groundwater Potential Zone in a Hilly Watershed Using a Geospatial and Geophysical Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 5313-5333, October.
    11. Veysel Aslan & Recep Çelik, 2021. "Integrated GIS-Based Multi-Criteria Analysis for Groundwater Potential Mapping in the Euphrates’s Sub-Basin, Harran Basin, Turkey," Sustainability, MDPI, vol. 13(13), pages 1-16, July.
    12. Ciro Figueiredo & Caroline Mota, 2019. "Learning Preferences in a Spatial Multiple Criteria Decision Approach: An Application in Public Security Planning," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1403-1432, July.
    13. Sangita Dey & U. K. Shukla & P. Mehrishi & R. K. Mall, 2021. "Appraisal of groundwater potentiality of multilayer alluvial aquifers of the Varuna river basin, India, using two concurrent methods of MCDM," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17558-17589, December.
    14. Yong Ye & Wei Chen & Guirong Wang & Weifeng Xue, 2022. "Spatial Prediction of the Groundwater Potential Using Remote Sensing Data and Bivariate Statistical-Based Artificial Intelligence Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5461-5494, November.
    15. Amirhosein Mosavi & Farzaneh Sajedi Hosseini & Bahram Choubin & Massoud Goodarzi & Adrienn A. Dineva & Elham Rafiei Sardooi, 2021. "Ensemble Boosting and Bagging Based Machine Learning Models for Groundwater Potential Prediction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 23-37, January.
    16. Hesham Morgan & Hussien M. Hussien & Ahmed Madani & Tamer Nassar, 2022. "Delineating Groundwater Potential Zones in Hyper-Arid Regions Using the Applications of Remote Sensing and GIS Modeling in the Eastern Desert, Egypt," Sustainability, MDPI, vol. 14(24), pages 1-30, December.
    17. Sawssen Khlifi & Ghazi Zouari, 2021. "The Impact of CEO Overconfidence on Real Earnings Management: Evidence from M&A Transactions," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 20(3), pages 402-424, September.
    18. Jha, Madan K. & Chowdary, V.M. & Kulkarni, Y. & Mal, B.C., 2014. "Rainwater harvesting planning using geospatial techniques and multicriteria decision analysis," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 96-111.
    19. Valentin-Marian Antohi & Monica Laura Zlati & Romeo Victor Ionescu & Mihaela Neculita & Raluca Rusu & Aurelian Constantin, 2020. "Attracting European Funds in the Romanian Economy and Leverage Points for Securing their Sustainable Management: A Critical Auditing Analysis," Sustainability, MDPI, vol. 12(13), pages 1-27, July.
    20. Carmenta, Rachel & Cammelli, Federico & Dressler, Wolfram & Verbicaro, Camila & Zaehringer, Julie G., 2021. "Between a rock and a hard place: The burdens of uncontrolled fire for smallholders across the tropics," World Development, Elsevier, vol. 145(C).

    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:13:y:2021:i:7:p:3978-:d:529483. 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.