IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i8p1214-d1441853.html
   My bibliography  Save this article

Evaluation and Promotion of Alluvial Fan Land Suitability for Agriculture in the Lhasa River Basin, Qinghai–Tibet Plateau

Author

Listed:
  • Tongde Chen

    (Key Laboratory of Land Resources Survey and Planning of Qinghai Province, School of Politics and Public Administration, Qinghai Minzu University, Xining 810007, China)

  • Juying Jiao

    (State Key Laboratory of Soil Erosion and Dry Land Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, China)

  • Lingling Wang

    (Key Laboratory of the Soil and Water Conservation on the Loess Plateau of Ministry of Water Resources, Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission of Ministry of Water Resources, Zhengzhou 450003, China)

  • Wei Wei

    (Medical Education, Lanzhou University, Lanzhou 730000, China)

  • Chunjing Zhao

    (Key Laboratory of the Soil and Water Conservation on the Loess Plateau of Ministry of Water Resources, Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission of Ministry of Water Resources, Zhengzhou 450003, China)

  • Shuwei Wei

    (School of Automation, Northwestern Polytechnical University, Xi’an 710072, China)

Abstract

Alluvial fans have been proven to have great utilisation potential in QTP, but to what extent they are suitable for agricultural development is unknown. Therefore, using the alluvial fan in the Lhasa River Basin (LRB) as a case study, this paper established an evaluation system of land suitability for agriculture (LSA). Principal component analysis (PCA) and the exhaustive method (EM) were used to define the minimum dataset (MDS) and then the LSA of the alluvial fan in the LRB was evaluated using a comprehensive index of LSA. Two scientific approaches were implemented to improve the LSA using a scenario simulation. The results showed that the MDS assessed by the EA was more representative compared to the PCA. Alluvial fans with suitable grades are mainly distributed in the Lhasa River’s middle and lower reaches. Developing facility agriculture and repairing roads accessing the alluvial fans are effective approaches to improve the LSA, which can increase the suitable-grade area from 58.62% to 97.82% and 63.85%, respectively. Therefore, most alluvial fans in the LRB are suitable for developing agriculture, and under the influence of human activities, there will be more alluvial fans suitable for developing agriculture. Our research provides scientific methods for the sustainable development of land in alpine regions.

Suggested Citation

  • Tongde Chen & Juying Jiao & Lingling Wang & Wei Wei & Chunjing Zhao & Shuwei Wei, 2024. "Evaluation and Promotion of Alluvial Fan Land Suitability for Agriculture in the Lhasa River Basin, Qinghai–Tibet Plateau," Agriculture, MDPI, vol. 14(8), pages 1-22, July.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:8:p:1214-:d:1441853
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/8/1214/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/14/8/1214/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hillary Mugiyo & Vimbayi G. P. Chimonyo & Mbulisi Sibanda & Richard Kunz & Cecilia R. Masemola & Albert T. Modi & Tafadzwanashe Mabhaudhi, 2021. "Evaluation of Land Suitability Methods with Reference to Neglected and Underutilised Crop Species: A Scoping Review," Land, MDPI, vol. 10(2), pages 1-24, January.
    2. Haverkort, A. J., 1990. "Ecology of potato cropping systems in relation to latitude and altitude," Agricultural Systems, Elsevier, vol. 32(3), pages 251-272.
    3. Ziqian Kang & Shuo Wang & Ling Xu & Fenglin Yang & Shushen Zhang, 2021. "Suitability assessment of urban land use in Dalian, China using PNN and GIS," 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. 106(1), pages 913-936, March.
    4. S. Mosquera-Machado & Sajjad Ahmad, 2007. "Flood hazard assessment of Atrato River in Colombia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(3), pages 591-609, March.
    5. Wenbo Xu & Wenjuan Yu & Shaocai Jing & Guoping Zhang & Jianxi Huang, 2013. "Debris flow susceptibility assessment by GIS and information value model in a large-scale region, Sichuan Province (China)," 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. 65(3), pages 1379-1392, February.
    Full references (including those not matched with items on IDEAS)

    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. Yanru Zhao & Xiaomin Zhao & Xinyi Huang & Jiaxin Guo & Guohui Chen, 2022. "Identifying a Period of Spatial Land Use Conflicts and Their Driving Forces in the Pearl River Delta," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    2. Guangyang Wu & Lanhai Li & Sajjad Ahmad & Xi Chen & Xiangliang Pan, 2013. "A Dynamic Model for Vulnerability Assessment of Regional Water Resources in Arid Areas: A Case Study of Bayingolin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 3085-3101, June.
    3. Keyu Luo & Zhenyu Wang & Wei Sha & Jiansheng Wu & Hongliang Wang & Qingliang Zhu, 2021. "Integrating Sponge City Concept and Neural Network into Land Suitability Assessment: Evidence from a Satellite Town of Shenzhen Metropolitan Area," Land, MDPI, vol. 10(8), pages 1-16, August.
    4. Eduardo Martínez-Gomariz & Carlos Barbero & Martí Sanchez-Juny & Edwar Forero-Ortiz & Marcos Sanz-Ramos, 2023. "Dams or ponds classification based on a new criterion to assess potential flood damage to roads in case of failure," 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(1), pages 625-653, May.
    5. Gupta, Pranav & Bharat, Alka & McCullen, Nick & Kershaw, Tristan, 2025. "Promoting sustainable land management: An innovative approach to land-take decision-making," Land Use Policy, Elsevier, vol. 149(C).
    6. Yasser M. Zakarya & Mohamed M. Metwaly & Mohamed A. E. AbdelRahman & Mohamed R. Metwalli & Georgios Koubouris, 2021. "Optimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt," Sustainability, MDPI, vol. 13(21), pages 1-21, November.
    7. Nikolaos Karapetsas & Anne Gobin & George Bilas & Thomas M. Koutsos & Vasileios Pavlidis & Eleni Katragkou & Thomas K. Alexandridis, 2024. "Analysis of Land Suitability for Maize Production under Climate Change and Its Mitigation Potential through Crop Residue Management," Land, MDPI, vol. 13(1), pages 1-24, January.
    8. Rajesh Kumar Dash & Philips Omowumi Falae & Debi Prasanna Kanungo, 2022. "Debris flow susceptibility zonation using statistical models in parts of Northwest Indian Himalayas—implementation, validation, and comparative evaluation," 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. 111(2), pages 2011-2058, March.
    9. Sanjani Salunkhe & Sachin Nandgude & Mukesh Tiwari & Harshal Bhange & Sangram B. Chavan, 2023. "Land Suitability Planning for Sustainable Mango Production in Vulnerable Region Using Geospatial Multi-Criteria Decision Model," Sustainability, MDPI, vol. 15(3), pages 1-18, February.
    10. Pranav Gupta & Alka Bharat, 2022. "Developing sustainable development Index as a tool for appropriate urban land take," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 13378-13406, November.
    11. Paola D'Antonio & Costanza Fiorentino & Mohamed A. E. AbdelRahman & Maura Sannino & Emanuele Scalcione & Giovanni Lacertosa & Felice Modugno & Antonella Marsico & Angelo R. Donvito & Luis Alcino Conce, 2025. "Modeling climatic, terrain and soil factors using AHP in GIS for grapevines suitability assessment," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(1), pages 970-991, February.
    12. Shengwu Qin & Shuangshuang Qiao & Jingyu Yao & Lingshuai Zhang & Xiaowei Liu & Xu Guo & Yang Chen & Jingbo Sun, 2022. "Establishing a GIS-based evaluation method considering spatial heterogeneity for debris flow susceptibility mapping at the regional scale," 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. 114(3), pages 2709-2738, December.
    13. Shrestha, Eleeja & Ahmad, Sajjad & Johnson, Walter & Batista, Jacimaria R., 2012. "The carbon footprint of water management policy options," Energy Policy, Elsevier, vol. 42(C), pages 201-212.
    14. S. Sarkar & R. Rai, 2011. "Flood Inundation Modeling Using Nakagami-m Distribution Based GIUH for a Partially Gauged Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3805-3835, November.
    15. He, Zhihao & Gong, Kaiyuan & Qu, Mengyu & Ru, Xiaoya & Chen, Shang & Jiang, Tengcong & Zhang, Jing & Feng, Hao & Yu, Qiang & He, Liang & He, Jianqiang, 2024. "Clarifying the impacts of climatic coupling on plastic-mulching potato production in the loess plateau of China," Agricultural Systems, Elsevier, vol. 221(C).
    16. Mohit Jain & Gunjan Soni & Deepak Verma & Rajendra Baraiya & Bharti Ramtiyal, 2023. "Selection of Technology Acceptance Model for Adoption of Industry 4.0 Technologies in Agri-Fresh Supply Chain," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    17. Goharian, Ali & Daneshjoo, Khosro & Shaeri, Jalil & Mahdavinejad, Mohammadjavad & Yeganeh, Mansour, 2023. "A designerly approach to daylight efficiency of central light-well; combining manual with NSGA-II algorithm optimization," Energy, Elsevier, vol. 276(C).
    18. R. Bharath & Amin Elshorbagy, 2018. "Flood mapping under uncertainty: a case study in the Canadian prairies," 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. 94(2), pages 537-560, November.
    19. Wenbo Xu & Wenjuan Yu & Shaocai Jing & Zhaoxian Wang & Guoping Zhang & Jianxi Huang, 2013. "Debris flow prediction models based on environmental factors and susceptible subarea classification in Sichuan, China," 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. 67(2), pages 869-878, June.
    20. Pankaj Mani & Chandranath Chatterjee & Rakesh Kumar, 2014. "Flood hazard assessment with multiparameter approach derived from coupled 1D and 2D hydrodynamic flow model," 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. 70(2), pages 1553-1574, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jagris:v:14:y:2024:i:8:p:1214-:d:1441853. 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.